Dominique Dubois & Paul Pappas, IBM | IBM Think 2021
>> (lively music) >> Narrator: From around the globe it's theCUBE, with digital coverage of IBM Think 2021. Brought to you by IBM. >> Welcome to theCUBE's coverage of IBM Think 2021, the digital event experience. I'm your host, Lisa Martin. I've got an alumni joining me and a brand new guest to the CUBE please welcome Paul Papas, the Global Managing Partner, for IBM Global Business Services, this is transformation services. Paul, welcome back to the virtual CUBE. >> Thanks Lisa great to be here with you today. And Dominique Dubois is here as well. She is the Global Strategy and Offerings Leader in business transformation services or BTS at IBM. Dominique, welcome to the program. >> Thanks Lisa, great to be here. So, we're going to be talking about accelerating business transformation with intelligent workflows. We're going to break through all that, but Paul we're going to start with you. Since we last got together with IBM, a lot has changed so much transformation, so much acceleration of transformation. Talk to me from your perspective, how have you seen the way that businesses running change and what some of the changes in the future are going to be? >> Well, you hit on two key words there Lisa and thanks so much for that question. Two key words that you hit on were change and acceleration. And that's exactly what we see. We were seeing this before the pandemic and if anything, with the pandemic did when things started started kind of spreading around the world late or early last year, around January, February timeframe we saw that word acceleration really take hold. Every one of our clients were looking for new ways to accelerate the change that they had already planned to adapt to this new, this new normal or this new abnormal, depending on how you view it. In fact, we did a study recently, an IBV study that's our Institute of Business Value and found that six out of 10 organizations were accelerating all of their transformation initiatives they had already planned. And that's exactly what we're seeing happening right now in all parts of the world and across all industries. This acceleration to transform. >> So, one of the things that we've talked about for years, Paul, before the pandemic was even a thing, is that there was a lot of perceived technical barriers in terms of like the tech maturity for organizations and employees being opposed to change. People obviously it can be a challenge. They're used to doing things the way they are. But as you just said, in that IBV survey, nearly 60% of businesses say we have to accelerate our transformation due to COVID, probably initially to survive and then thrive. Talk to me about some of those, those barriers that were there a little over a year ago and how businesses 60 plus percent of them have moved those out of the way. >> You know at IBM we've got a 109 year history of being a technology innovation company. And the rate of pace of technical change is always increasing. It's something that we love and that we're comfortable with. But the rate and pace of change is always unsettling. And there's always a human element for change. And the human element is always the rate, the rate setter in terms of the amount of change that you can have in an organization. Our former chairman Ginni Rometty, used to say that growth and comfort cannot co-exist. And it's so true because changing is uncomfortable. It's unsettling. It can be, it can be nerve-racking. It can instill fear and fear can be paralyzing in terms of driving change. And what we also see is there's a disconnect, a lot of times and that IBV study that I was referring to before, we saw results coming back where 78% of executives feel that they have provided the training and enablement to help their employees transform to new required skills and new ways of working but only half of the people surveyed felt the same way. Similarly, we saw a disconnect in terms of companies feeling that they're providing the right level of health and wellness support during the pandemic. And only half of the employees responded back they feel that they're getting that level of support. So, the people change aspect of doing a transformation or adapting to new circumstances is always the most critical component and always the hardest component. And when we talk about helping our clients do that in IBM that's our service as organization. That's the organization that Dominique Dubois is representing here today. I'm responsible for business transformation services within our organization. We help our clients adapt using new technologies, transforming the way they work, but also addressing the people change elements that could be so difficult and hitting them head on so that they can make sure that they can survive and thrive in a meaningful and lasting way in this new world. >> One of the hardest things is that cultural transformation regardless of a pandemic. So, I can't imagine I'd love to get one more thing, Paul from you before we head over to Dominique. IBM is on 109 year old organization. Talk to me about the IBM pledge. This is something that came up last year, huge organization massive changes last year, not just the work from home that the mental concerns and issues that people had. What did IBM do like as a grassroots effort that went viral? >> Yeah, so, it's really great. So, when the pandemic started, we all have to shift it, We all have to shift to working from home. And as you mentioned, IBM's 109 year old company, we have over 300,000 employees working in 170 countries. So, we had to move this entire workforce. It's 370,000 humans to working in a new way that many of which have never done before. And when we started experiencing, the minute we did that, within a few weeks, my team and I were talking Dominique is on my team and we were having conversations where we were feeling really exhausted. Just a few weeks into this and it was because we were constantly on Webex, we were constantly connected and we're all used to working really hard. We travel a lot, we're always with our clients. So, it wasn't that, you have a team that is adapting to like working more hours or longer hours, but this was fundamentally different. And we saw that with schools shutting down and lock downs happening in different of the world the home life balance was getting immediately difficult to impossible to deal with. We have people that are taking care of elderly parents, people that are homeschooling children, other personal life situations that everyone had to navigate in the middle of a pandemic locked at home with different restrictions on when you can go out and get things done. So, we got together as a group and we just started talking about how can we help? How can we help make life just a little bit easier for all of our people? And we started writing down some things that we would, we would commit to doing with each other. How we would address each other. And when that gave birth to was what we call the IBM Work From Home Pledge. And it's a set of principles, all grounded in the belief that, if we act this way, we might just be able to make life just a little bit easier for each other and it's grounded in empathy. And there are parts of the Plex that are pledging to be kind. Recognizing that in this new digital world that we're showing up on camera inside of everyone's home. We're guests in each other's homes. So, let's make sure that we act appropriately as guests at each other's home. So, if children run into the frame during the middle of a meeting or dog started barking during the middle of a meeting, just roll with it. Don't call out attention to it. Don't make people feel self-conscious about it. Pledged the support so your fellow IBM by making time for personal needs. So, if someone has to, do homeschooling in the middle of the day, like Dominique's got triplets she's got to do homeschooling in the middle of the day. Block that time off and we will respect that time on your calendar. And just work around it and just deal with it. There are other things like respecting that camera ready time. As someone who's now been on camera every day it feels like for the last 14 months we want to respect the time that people when they have their cameras off. And not pressure them to put their cameras on saying things like, Hey, I can't see you. There's no reason to add more pressure to everyone's life, if someone's camera's off, it's all for a reason. And then other things like pledging to checking on each other, pledging to set boundaries and tend to our own self-care. So, we published that as a group, we just again and we put it on a Slack channel. So it's kind of our communication method inside the company. It was just intended to be for my organization but it started going viral and tens of thousands of IBM members started taking, started taking the pledge and ultimately caught the attention of our CEO and he loved it, shared it with his leadership team, which I'm a part of. And then also then went on LinkedIn and publicly took the pledge as well. Which then also got more excitement and interaction with other companies as well. So, grassroots effort all grounded in showing empathy and helping to make life just a little bit easier for everyone. >> So important, I'm going to look that up and I'm going to tell you as a person who speaks with many tech companies a week. A lot of businesses could take a lead from that and it gets really important and we are inviting each other into our homes and I see you're a big Broadway fan I'll have to ask you that after we wrap (giggles) Dominique I don't know how you're doing any of this with triplets. I only have two dogs (Dominique laughs) but I'd love to know this sense of urgency, that is everywhere you're living it. Paul talked about it with respect to the acceleration of transformation. How from your lens is IBM and IBM helping customers address the urgency, the need to pivot, the need to accelerate, the need to survive and thrive with respect to digital transformation actually getting it done? >> Right, thanks Lisa, so true our clients are really needing to and ready to move with haste. That that sense of urgency can be felt I think across every country, every market, every industry. And so we're really helping our clients accelerate their digital transformations and we do that through something that we call intelligent workflows. And so workflows in and of themselves are basically how organizations get work done. But intelligent workflows are how we infuse; predictive properties, automation, transparency, agility, end to end across a workflow. So, pulling those processes together so they're not solid anymore and infusing. So, simply put we bring intelligent workflows to our clients and it fundamentally reinvents how they're getting work done from a digital perspective, from a predictive perspective, from a transparency perspective. And I think what really stands apart when we deliver this with our clients in partnership with our clients is how it not only delivers value to the bottom line, to the top line it also actually delivers greater value to their employees, to the customers, to the partner to their broader ecosystem. And intelligent workflows are really made up of three core elements. The first is around better utilizing data. So, aggregating, analyzing, getting deeper insight out of data, and then using that insight not just for employees to make better decisions, but actually to support for emerging technologies to leverage. So we talked about AI, automation, IOT, blockchain, all of these technologies require vast amounts of data. And what we're able to bring both on the internal and external source from a data perspective really underpins what these emerging technologies can do. And then the third area is skills. Our skills that we bring to the table, but also our clients deep, deep expertise, partner expertise, expertise from the ecosystem at large and pulling all of that together, is how we're really able to help our clients accelerate their digital transformations because we're helping them shift, from a set of siloed static processes to an end-to-end workflow. We're helping them make fewer predictions based on the past historical data and actually taking more real-time action with real time insights. So, it really is a fundamental shift and how your work is getting done to really being able to provide that emerging technologies, data, deep skills-based end to end workflow. >> That word fundamental has such gravity. and I know we say data has gravity being fundamental in such an incredibly dynamic time is really challenging but I was looking through some of the notes that you guys provided me with. And in terms of what you just talked about, Dominique versus making a change to a silo, the benefits and making changes to a spectrum of integrated processes the values can be huge. In fact, I was reading that changing a single process like billing, for example might deliver up to 20% improved results. But integrating across multiple processes, like billing, collections, organizations can achieve double that up to 40%. And then there's more taking the intelligent workflow across all lead to cash. This was huge. Clients can get 50 to 70% more value from that. So that just shows that fundamental impact that intelligent workflows can make. >> Right, I mean, it really is when we see it really is about unlocking exponential value. So, when you think about crossing end to end workflow but also, really enhancing what clients are doing and what companies are doing today with those exponential technologies from kind of single use the automation POC here and AI application POC here, actually integrating those technologies together and applying them at scale. When I think intelligent workflows I think acceleration. I think exponential value. But I also really think about at scale. Because it's really the ability to apply these technologies the expertise at scale that allows us to start to unlock a lot of that value. >> So let's go over Paul, in the last few minutes that we have here I want to talk about IBM garage and how this is helping clients to really transform those workflows. Talk to me a little bit about what IBM garage is. I know it's not IBM garage band and I know it's been around since before the pandemic but help us understand what that is and how it's delivering value to customers. >> Well, first I'm going to be the first to invite you to join the IBM garage band, Lisa so we'd love to have you >> I'm in. no musical experience required... >> I like to sing, all right I mean (laughs) We're ready, we're ready for. So, let me talk to you about IBM garage and I do want to key on two words that Dominique was mentioning speed and scale. Because that's what our clients are really looking for when they're doing transformations around intelligent workflows. How can you transform at scale, but do that with speed. And that really becomes the critical issue. As Dominique mentioned, there's a lot of companies that can help you do a proof of concept do something in a few weeks that you can test an idea out and have something that's kind of like a throw away piece of work that maybe proves a point or just proves a point. But even if it does prove the point at that point you'd have to restart a new, to try to get something that you could actually scale either in the production technology environment or scale as a change across an organization. And that's where IBM garage comes in. It's all a way of helping our clients co-create, co-execute and then cooperate, innovating at scale. So, we use methods like design thinking inside of IBM we've trained several hundred thousand people on design thinking methods. We use technologies like neural and other things that help our clients co-create in a dynamic environment. And what's amazing for me is that, the cause of the way we were, we were doing work with clients in a garage with using IBM garage in a garage environment before the pandemic. And one of our clients Frito-Lay of North America, is an example where we've helped them innovate at scale and speed using IBM garage over a long period of time. And when the pandemic hit, we in fact were running 11 garages across 11 different workflow areas for them the pandemic hit and everyone was sent home. So, we all instantly overnight had to work from home together with relay. And what was great is that we were able to quickly adapt the garage method to working in a virtual world. To being able to run that same type of innovation and then use that innovation at scale in a virtual world, we did that overnight. And since that time which happened, that happened back in March of last year throughout the pandemic, we've run over 1500 different garage engagements with all of our clients all around the world in a virtual, in a virtual environment. It's just an incredible way, like I said to help our clients innovate at scale. >> That's fantastic, go ahead Dominique. >> Oh, sorry, was just said it's a great example, we partnered with FlightSafety International, they train pilots. And I think a great example of that speed and scale right is in less than 12 weeks due to the garage methodology and the partnership with FlightSafety, we created with them and launched an adaptive learning solution. So, a platform as well as a complete change to their training workflow such that they had personalized kind of real-time next best training for how they train their pilots for simulators. So, reducing their cycle time but also improving the training that their pilots get, which as people who normally travel, it's really important to us and everyone else. So, just a really good example, less than 12 weeks start to start to finish. >> Right, talk about acceleration. Paul, last question for you, we've got about 30 seconds left I know this is an ecosystem effort of IBM, it's ecosystem partners, it's Alliance partners. How are you helping align right partner with the right customer, the right use case? >> Yeah, it's great. And our CEO Arvind Krishna has really ushered in this era where we are all about the open ecosystem here at IBM and working with our ecosystem partners. In our services business we have partnerships with all the major, all the major technology players. We have a 45 year relationship with SAP. We've done more SAP S 400 implementations than anyone in the world. We've got the longest standing consulting relationship with Salesforce, we've got a unique relationship with Adobe, they're only services and technology partner in the ecosystem. And we just recently won three, procedures Partner Awards, with them and most recently we announced a partnership with Celonis which is an incredible process execution software company, process mining software company that's going to help us transform intelligent workflows in an accelerated way, embedded in our garage environment. So, ecosystem is critical to our success but more importantly, it's critical to our client success. We know that no one alone has the answers and no one alone can help anyone change. So, with this open ecosystem approach that we take and global business services and our business transformation services organization, we're able to make sure that we bring our clients the best of everyone's capabilities. Whether it's our technology, partners, our services IBM's own technology capabilities, all in the mix, all orchestrated in service to our client's needs all with the goal of driving superior business outcomes for them. >> And helping those customers in any industry to accelerate their business transformation with those intelligent workloads and a very dynamic time. This is a topic we could keep talking about unfortunately, we are out of time but thank you both for stopping by and sharing with me what's going on with respect to intelligent workflows. How the incremental exponential value it's helping organizations to deliver and all the work that IBM is doing to enable its customers to be thrivers of tomorrow. We appreciate talking to you >> Paul: Thanks Lisa. >> Dominique: Thank you >> For Paul Papas and Dominique Dubois I'm Lisa Martin. You're watching the CUBE's coverage of IBM Think the digital event experience. (gentle music)
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Paul Pappas + Dominique Dubois
(lively music) >> From around the globe it's theCUBE, with digital coverage of IBM Think 2021. Brought to you by IBM. >> Welcome to theCUBE's coverage of IBM Think 2021, the digital event experience. I'm your host, Lisa Martin. I've got an alumni joining me and a brand new guest to the CUBE please welcome Paul Papas, the Global Managing Partner, for IBM Global Business Services, this is transformation services. Paul, welcome back to the virtual CUBE. >> Thanks Lisa great to be here with you today. And Dominique Dubois is here as well. She is the Global Strategy and Offerings Leader in business transformation services or BTS at IBM. Dominique, welcome to the program. >> Thanks Lisa, great to be here. So, we're going to be talking about accelerating business transformation with intelligent workflows. We're going to break through all that, but Paul we're going to start with you. Since we last got together with IBM, a lot has changed so much transformation, so much acceleration of transformation. Talk to me from your perspective, how have you seen the way that businesses running change and what some of the changes in the future are going to be? >> Well, you hit on two key words there Lisa and thanks so much for that question. Two key words that you hit on were change and acceleration. And that's exactly what we see. We were seeing this before the pandemic and if anything, with the pandemic did when things started started kind of spreading around the world late or early last year, around January, February timeframe we saw that word acceleration really take hold. Every one of our clients were looking for new ways to accelerate the change that they had already planned to adapt to this new, this new normal or this new abnormal, depending on how you view it. In fact, we did a study recently, an IBV study that's our Institute of Business Value and found that six out of 10 organizations were accelerating all of their transformation initiatives they had already planned. And that's exactly what we're seeing happening right now in all parts of the world and across all industries. This acceleration to transform. >> So, one of the things that we've talked about for years, Paul, before the pandemic was even a thing, is that there was a lot of perceived technical barriers in terms of like the tech maturity for organizations and employees being opposed to change. People obviously it can be a challenge. They're used to doing things the way they are. But as you just said, in that IBV survey, nearly 60% of businesses say we have to accelerate our transformation due to COVID, probably initially to survive and then thrive. Talk to me about some of those, those barriers that were there a little over a year ago and how businesses 60 plus percent of them have moved those out of the way. >> You know at IBM we've got 109 year history of being a technology innovation company. And the rate of pace of technical change is always increasing. It's something that we love and that we're comfortable with. But the rate and pace of change is always unsettling. And there's always a human element for change. And the human element is always the rate, the rate setter in terms of the amount of change that you can have in an organization. Our former chairman Ginni Rometty, used to say that growth and comfort cannot co-exist. And it's so true because changing is uncomfortable. It's unsettling. It can be, it can be nerve-racking. It can instill fear and fear can be paralyzing in terms of driving change. And what we also see is there's a disconnect, a lot of times and that IBV study that I was referring to before, we saw results coming back where 78% of executives feel that they have provided the training and enablement to help their employees transform to new required skills and new ways of working but only half of the people surveyed felt the same way. Similarly, we saw a disconnect in terms of companies feeling that they're providing the right level of health and wellness support during the pandemic. And only half of the employees responded back they feel that they're getting that level of support. So, the people change aspect of may doing a transformation or adapting to new circumstances is always the most critical component and always the hardest component. And when we talk about helping our clients do that in IBM that's our service as organization. That's the organization that Dominique Dubois are representing here today. I'm responsible for business transformation services within our organization. We help our clients adapt using new technologies, transforming the way they work, but also addressing the people change elements that could be so difficult and hitting them head on so that they can make sure that they can survive and thrive in a meaningful and lasting way in this new world. >> One of the hardest things is that cultural transformation regardless of a pandemic. So, I can't imagine I'd love to get one more thing, Paul from you before we head over to Dominique. IBM is on 109 year old organization. Talk to me about the IBM pledge. This is something that came up last year, huge organization massive changes last year, not just the work from home that the mental concerns and issues that people had. What did IBM do like as a grassroots effort that went viral? >> Yeah, so, it's really great. So, when the pandemic started, we all have to shift it, We all have to shift to working from home. And as you mentioned, IBM's 109 year old company, we have over 300,000 employees working in 170 countries. So, we had to move this entire workforce. It's 370,000 humans to working in a new way that many of which have never done before. And when we started experiencing, the minute we did that, within a few weeks, my team and I were talking Dominique is on my team and we were having conversations where we were feeling really exhausted. Just a few weeks into this and it was because we were constantly on Webex, we were constantly connected and we're all used to working really hard. We travel a lot, we're always with our clients. So, it wasn't that, you have a team that is adapting to like working more hours or longer hours, but this was fundamentally different. And we saw that with schools shutting down and lock downs happening in different of the world the home life balance was getting immediately difficult to impossible to deal with. We have people that are taking care of elderly parents, people that are homeschooling children, other personal life situations that everyone had to navigate in the middle of a pandemic locked at home with different restrictions on when you can go out and get things done. So, we got together as a group and we just started talking about how can we help? How can we help make life just a little bit easier for all of our people? And we started writing down some things that we would, we would commit to doing with each other. How we would address each other. And when that gave birth to was what we call the IBM Work From Home Pledge. And it's a set of principles, all grounded in the belief that, if we act this way, we might just be able to make life just a little bit easier for each other and it's grounded in empathy. And there are parts of the Plex that are pledging to be kind. Recognizing that in this new digital world that we're showing up on camera inside of everyone's home. We're guests in each other's homes. So, let's make sure that we act appropriately as guests at each other's home. So, if children run into the frame during the middle of a meeting or dog started barking during the middle of a meeting, just roll with it. Don't call out attention to it. Don't make people feel self-conscious about it. Pledged the support so your fellow IBM by making time for personal needs. So, if someone has to, do homeschooling in the middle of the day, like Dominique's got triplets she's got to do homeschooling in the middle of the day. Block that time off and we will respect that time on your calendar. And just work around it and just deal with it. There are other things like respecting that camera ready time. As someone who's now been on camera every day it feels like for the last 14 months we want to respect the time that people when they have their cameras off. And not pressure them to put their cameras on saying things like, Hey, I can't see you. There's no reason to add more pressure to everyone's life, if someone's camera's off, it's all for a reason. And then other things like pledging to checking on each other, pledging to set boundaries and tend to our own self-care. So, we published that as a group, we just again and we put it on a Slack channel. So it's kind of our communication method inside the company. It was just intended to be for my organization but it started going viral and tens of thousands of IBM members started taking, started taking the pledge and ultimately caught the attention of our CEO and he loved it, shared it with his leadership team, which I'm a part of. And then also then went on LinkedIn and publicly took the pledge as well. Which then also got more excitement and interaction with other companies as well. So, grassroots effort all grounded in showing empathy and helping to make life just a little bit easier for everyone. >> So important, I'm going to look that up and I'm going to tell you as a person who speaks with many tech companies a week. A lot of businesses could take a lead from that and it gets really important and we are inviting each other into our homes and I see you're a big Broadway fan I'll have to ask you that after we wrap (giggles) Dominique I don't know how you're doing any of this with triplets. I only have two dogs (Dominique laughs) but I'd love to know this sense of urgency, that is everywhere you're living it. Paul talked about it with respect to the acceleration of transformation. How from your lens is IBM and IBM helping customers address the urgency, the need to pivot, the need to accelerate, the need to survive and thrive with respect to digital transformation actually getting it done? >> Right, thanks Lisa, so true our clients are really needing to and ready to move with haste. That that sense of urgency can be felt I think across every country, every market, every industry. And so we're really helping our clients accelerate their digital transformations and we do that through something that we call intelligent workflows. And so workflows in and of themselves are basically how organizations get work done. But intelligent workflows are how we infuse; predictive properties, automation, transparency, agility, end to end across a workflow. So, pulling those processes together so they're not solid anymore and infusing. So, simply put we bring intelligent workflows to our clients and it fundamentally reinvents how they're getting work done from a digital perspective, from a predictive perspective, from a transparency perspective. And I think what really stands apart when we deliver this with our clients in partnership with our clients is how it not only delivers value to the bottom line, to the top line it also actually delivers greater value to their employees, to the customers, to the partner to their broader ecosystem. And intelligent workflows are really made up of three core elements. The first is around better utilizing data. So, aggregating, analyzing, getting deeper insight out of data, and then using that insight not just for employees to make better decisions, but actually to support for emerging technologies to leverage. So we talked about AI, automation, IOT, blockchain, all of these technologies require vast amounts of data. And what we're able to bring both on the internal and external source from a data perspective really underpins what these emerging technologies can do. And then the third area is skills. Our skills that we bring to the table, but also our clients deep, deep expertise, partner expertise, expertise from the ecosystem at large and pulling all of that together, is how we're really able to help our clients accelerate their digital transformations because we're helping them shift, from a set of siloed static processes to an end-to-end workflow. We're helping them make fewer predictions based on the past historical data and actually taking more real-time action with real time insights. So, it really is a fundamental shift and how your work is getting done to really being able to provide that emerging technologies, data, deep skills-based end to end workflow. >> That word fundamental has such gravity. and I know we say data has gravity being fundamental in such an incredibly dynamic time is really challenging but I was looking through some of the notes that you guys provided me with. And in terms of what you just talked about, Dominique versus making a change to a silo, the benefits and making changes to a spectrum of integrated processes the values can be huge. In fact, I was reading that changing a single process like billing, for example might deliver up to 20% improved results. But integrating across multiple processes, like billing, collections, organizations can achieve double that up to 40%. And then there's more taking the intelligent workflow across all lead to cash. This was huge. Clients can get 50 to 70% more value from that. So that just shows that fundamental impact that intelligent workflows can make. >> Right, I mean, it really is when we see it really is about unlocking exponential value. So, when you think about crossing end to end workflow but also, really enhancing what clients are doing and what companies are doing today with those exponential technologies from kind of single use the automation POC here and AI application POC here, actually integrating those technologies together and applying them at scale. When I think intelligent workflows I think acceleration. I think exponential value. But I also really think about at scale. Because it's really the ability to apply these technologies the expertise at scale that allows us to start to unlock a lot of that value. >> So let's go over Paul, in the last few minutes that we have here I want to talk about IBM garage and how this is helping clients to really transform those workflows. Talk to me a little bit about what IBM garage is. I know it's not IBM garage band and I know it's been around since before the pandemic but help us understand what that is and how it's delivering value to customers. >> Well, first I'm going to be the first to invite you to join the IBM garage band, Lisa so we'd love to have you >> I'm in. no musical experience required... >> I like to sing, all right I mean (laughs) We're ready, we're ready for. So, let me talk to you about IBM garage and I do want to key on two words that Dominique was mentioning speed and scale. Because that's what our clients are really looking for when they're doing transformations around intelligent workflows. How can you transform at scale, but do that with speed. And that really becomes the critical issue. As Dominique mentioned, there's a lot of companies that can help you do a proof of concept do something in a few weeks that you can test an idea out and have something that's kind of like a throw away piece of work that maybe proves a point or just proves a point. But even if it does prove the point at that point you'd have to restart a new, to try to get something that you could actually scale either in the production technology environment or scale as a change across an organization. And that's where IBM garage comes in. It's all a way of helping our clients co-create, co-execute and then cooperate, innovating at scale. So, we use methods like design thinking inside of IBM we've trained several hundred thousand people on design thinking methods. We use technologies like neural and other things that help our clients co-create in a dynamic environment. And what's amazing for me is that, the cause of the way we were, we were doing work with clients in a garage with using IBM garage in a garage environment before the pandemic. And one of our clients Frito-Lay of North America, is an example where we've helped them innovate at scale and speed using IBM garage over a long period of time. And when the pandemic hit, we in fact were running 11 garages across 11 different workflow areas for them the pandemic hit and everyone was sent home. So, we all instantly overnight had to work from home together with relay. And what was great is that we were able to quickly adapt the garage method to working in a virtual world. To being able to run that same type of innovation and then use that innovation at scale in a virtual world, we did that overnight. And since that time which happened, that happened back in March of last year throughout the pandemic, we've run over 1500 different garage engagements with all of our clients all around the world in a virtual, in a virtual environment. It's just an incredible way, like I said to help our clients innovate at scale. >> That's fantastic, go ahead Dominique. >> Oh, sorry, was just said it's a great example, we partnered with FlightSafety International, they train pilots. And I think a great example of that speed and scale right is in less than 12 weeks due to the garage methodology and the partnership with FlightSafety, we created with them and launched an adaptive learning solution. So, a platform as well as a complete change to their training workflow such that they had personalized kind of real-time next best training for how they train their pilots for simulators. So, reducing their cycle time but also improving the training that their pilots get, which as people who normally travel, it's really important to us and everyone else. So, just a really good example, less than 12 weeks start to start to finish. >> Right, talk about acceleration. Paul, last question for you, we've got about 30 seconds left I know this is an ecosystem effort of IBM, it's ecosystem partners, it's Alliance partners. How are you helping align right partner with the right customer, the right use case? >> Yeah, it's great. And our CEO Arvind Krishna has really ushered in this era where we are all about the open ecosystem here at IBM and working with our ecosystem partners. In our services business we have partnerships with all the major, all the major technology players. We have a 45 year relationship with SAP. We've done more SAP S 400 implementations than anyone in the world. We've got the longest standing consulting relationship with Salesforce, we've got a unique relationship with Adobe, they're only services and technology partner in the ecosystem. And we just recently won three, procedures Partner Awards, with them and most recently we announced a partnership with Celonis which is an incredible process execution software company, process mining software company that's going to help us transform intelligent workflows in an accelerated way, embedded in our garage environment. So, ecosystem is critical to our success but more importantly, it's critical to our client success. We know that no one alone has the answers and no one alone can help anyone change. So, with this open ecosystem approach that we take and global business services and our business transformation services organization, we're able to make sure that we bring our clients the best of everyone's capabilities. Whether it's our technology, partners, our services IBM's own technology capabilities, all in the mix, all orchestrated in service to our client's needs all with the goal of driving superior business outcomes for them. >> And helping those customers in any industry to accelerate their business transformation with those intelligent workloads and a very dynamic time. This is a topic we could keep talking about unfortunately, we are out of time but thank you both for stopping by and sharing with me what's going on with respect to intelligent workflows. How the incremental exponential value it's helping organizations to deliver and all the work that IBM is doing to enable its customers to be thrivers of tomorrow. We appreciate talking to you >> Thanks Lisa. >> Thank you >> For Paul Papas and Dominique Dubois I'm Lisa Martin. You're watching the CUBE's coverage of IBM Think the digital event experience. (gentle music)
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Breaking Analysis: Arm Lays Down the Gauntlet at Intel's Feet
>> Announcer: From the Cube's studios in Palo Alto in Boston, bringing you data-driven insights from The Cube and ETR. This is "Breaking Analysis" with Dave Vellante. >> Exactly one week after Pat Gelsinger's announcement of his plans to reinvent Intel. Arm announced version nine of its architecture and laid out its vision for the next decade. We believe this vision is extremely strong as it combines an end-to-end capability from Edge to Cloud, to the data center, to the home and everything in between. Arms aspirations are ambitious and powerful. Leveraging its business model, ecosystem and software compatibility with previous generations. Hello every one and welcome to this week's Wikibon Cube Insights powered by ETR. And this breaking analysis will explain why we think this announcement is so important and what it means for Intel and the broader technology landscape. We'll also share with you some feedback that we received from the Cube Community on last week's episode and a little inside baseball on how Intel, IBM, Samsung, TSMC and the U.S. government might be thinking about the shifting landscape of semiconductor technology. Now, there were two notable announcements this week that were directly related to Intel's announcement of March 23rd. The Armv9 news and TSMC's plans to invest a $100 billion in chip manufacturing and development over the next three years. That is a big number. It appears to tramp Intel's plan $20 billion investment to launch two new fabs in the U.S. starting in 2024. You may remember back in 2019, Samsung pledged to invest a $116 billion to diversify its production beyond memory trip, memory chips. Why are all these companies getting so aggressive? And won't this cause a glut in chips? Well, first, China looms large and aims to dominate its local markets, which in turn is going to confer advantages globally. The second, there's a huge chip shortage right now. And the belief is that it's going to continue through the decade and possibly beyond. We are seeing a new inflection point in the demand as we discussed last week. Stemming from digital, IOT, cloud, autos in new use cases in the home as so well presented by Sarjeet Johal in our community. As to the glut, these manufacturers believe that demand will outstrip supply indefinitely. And I understand that a lack of manufacturing capacity is actually more deadly than an oversupply. Look, if there's a glut, manufacturers can cut production and take the financial hit. Whereas capacity constraints mean you can miss entire cycles of growth and really miss out on the demand and the cost reductions. So, all these manufacturers are going for it. Now let's talk about Arm, its approach and the announcements that it made this week. Now last week, we talked about how Pat Gelsinger his vision of a system on package was an attempt to leapfrog system on chip SOC, while Arm is taking a similar system approach. But in our view, it's even broader than the vision laid out by Pat at Intel. Arm is targeting a wide variety of use cases that are shown here. Arm's fundamental philosophy is that the future will require highly specialized chips and Intel as you recall from Pat's announcement, would agree. But Arm historically takes an ecosystem approach that is different from Intel's model. Arm is all about enabling the production of specialized chips to really fit a specific application. For example, think about the amount of AI going on iPhones. They move if I remember from fingerprint to face recognition. This requires specialized neural processing units, NPUs that are designed by Apple for that particular use case. Arm is facilitating the creation of these specialized chips to be designed and produced by the ecosystem. Intel on the other hand has historically taken a one size fits all approach. Built around the x86. The Intel's design has always been about improving the processor. For example, in terms of speed, density, adding vector processing to accommodate AI, et cetera. And Intel does all the design and the manufacturing in any specialization for the ecosystem is done by Intel. Much of the value, that's added from the ecosystem is frankly been bending metal or adding displays or other features at the margin. But, the advantage is that the x86 architecture is well understood. It's consistent, reliable, and let's face it. Most enterprise software runs on x86. So, but very, very different models historically, which we heard from Gelsinger last week they're going to change with a new trusted foundry strategy. Now let's go through an example that might help explain the power of Arm's model. Let's say, your AWS and you're doing graviton. Designing graviton and graviton2. Or Apple, designing the M1 chip, or Tesla designing its own chip, or any other company in in any one of these use cases that are shown here. Tesla is a really good example. In order to optimize for video processing, Tesla needed to add specialized code firmware in the NPU for it's specific use case within autos. It was happy to take off the shelf CPU or GPU or whatever, and leverage Arm's standards there. And then it added its own value in the NPU. So the advantage of this model is Tesla could go from tape out in less or, or, or or in less than a year versus get the tape out in less than a year versus what would normally take many years. Arm is, think of Arm is like customize a Lego blocks that enable unique value add by the ecosystem with a much faster time to market. So like I say, the Tesla goes from logical tape out if you will, to Samsung and then says, okay run this against your manufacturing process. And it should all work as advertised by Arm. Tesla, interestingly, just as an aside chose the 14 nanometer process to keep its costs down. It didn't need the latest and greatest density. Okay, so you can see big difference in philosophies historically between Arm and Intel. And you can see Intel vectoring toward the Arm model based on what Gelsinger said last week for its foundry business. Essentially it has to. Now, Arm announced a new Arm architecture, Armv9. v9 is backwards compatible with previous generations. Perhaps Arm learned from Intel's failed, Itanium effort for those remember that word. Had no backward compatibility and it really floundered. As well, Arm adds some additional capabilities. And today we're going to focus on the two areas that have highlighted, machine learning piece and security. I'll take note of the call out, 300 billion chips. That's Arm's vision. That's a lot. And we've said, before, Arm's way for volumes are 10X those of x86. Volume, we sound like a broken record. Volume equals cost reduction. We'll come back to that a little bit later. Now let's have a word on AI and machine learning. Arm is betting on AI and ML. Big as are many others. And this chart really shows why, it's a graphic that shows ETR data and spending momentum and pervasiveness in the dataset across all the different sectors that ETR tracks within its taxonomy. Note that ML/AI gets the top spot on the vertical axis, which represents net score. That's a measure of spending momentum or spending velocity. The horizontal axis is market share presence in the dataset. And we give this sector four stars to signify it's consistent lead in the data. So pretty reasonable bet by Arm. But the other area that we're going to talk about is security. And its vision day, Arm talked about confidential compute architecture and these things called realms. Note in the left-hand side, showing data traveling all over the different use cases and around the world and the call-out from the CISO below, it's a large public airline CISO that spoke at an ETR Venn round table. And this individual noted that the shifting end points increase the threat vectors. We all know that. Arm said something that really resonated. Specifically, they said today, there's far too much trust on the OS and the hypervisor that are running these applications. And their broad access to data is a weakness. Arm's concept of realms as shown in the right-hand side, underscores the company strategy to remove the assumption that privileged software. Like the hypervisor needs to be able to see the data. So by creating realms, in a virtualized multi-tenant environment, data can be more protected from memory leaks which of course is a major opportunity for hackers that they exploit. So it's a nice concept in a way for the system to isolate attendance data from other users. Okay, we want, we want to share some feedback that we got last week from the community on our analysis of Intel. A tech exec from city pointed out that, Intel really didn't miss a mobile, as we said, it really missed smartphones. In fact, whell, this is a kind of a minor distinction, it's important to recognize we think. Because Intel facilitated WIFI with Centrino, under the direction of Paul Alini. Who by the way, was not an engineer. I think he was the first non-engineer to be the CEO of Intel. He was a marketing person by background. Ironically, Intel's work in wifi connectivity enabled, actually enabled the smartphone revolution. And maybe that makes the smartphone missed by Intel all that more egregious, I don't know. Now the other piece of feedback we received related to our IBM scenario and our three-way joint venture prediction bringing together Intel, IBM, and Samsung in a triumvirate where Intel brings the foundry and it's process manufacturing. IBM brings its dis-aggregated memory technology and Samsung brings its its volume and its knowledge of of volume down the learning curve. Let's start with IBM. Remember we said that IBM with power 10 has the best technology in terms of this notion of dis-aggregating compute from memory and sharing memory in a pool across different processor types. So a few things in this regard, IBM when it restructured its micro electronics business under Ginni Rometty, catalyzed the partnership with global foundries and you know, this picture in the upper right it shows the global foundries facility outside of Albany, New York in Malta. And the partnership included AMD and Samsung. But we believe that global foundries is backed away from some of its contractual commitments with IBM causing a bit of a rift between the companies and leaving a hole in your original strategy. And evidently AMD hasn't really leaned in to move the needle in any way and so the New York foundry, is it a bit of a state of limbo with respect to its original vision. Now, well, Arvind Krishna was the face of the Intel announcement. It clearly has deep knowledge of IBM semiconductor strategy. Dario Gill, we think is a key player in the mix. He's the senior vice president director of IBM research. And it is in a position to affect some knowledge sharing and maybe even knowledge transfer with Intel possibly as it relates to disaggregated architecture. His questions remain as to how open IBM will be. And how protected it will be with its IP. It's got, as we said, last week, it's got to have an incentive to do so. Now why would IBM do that? Well, it wants to compete more effectively with VMware who has done a great job leveraging x86 and that's the biggest competitor in threat to open shift. So Arvind needs Intel chips to really execute on IBM's cloud strategy. Because almost all of IBM's customers are running apps on x86. So IBM's cloud and hybrid cloud. Strategy really need to leverage that Intel partnership. Now Intel for its part has great FinFET technology. FinFET is a tactic goes beyond CMOs. You all mainframes might remember when IBM burned the boat on ECL, Emitter-coupled Logic. And then moved to CMOs for its mainframes. Well, this is the next gen beyond, and it could give Intel a leg up on AMD's chiplet intellectual properties. Especially as it relates to latency. And there could be some benefits there for IBM. So maybe there's a quid pro quo going on. Now, where it really gets interesting is New York Senator, Chuck Schumer, is keen on building up an alternative to Silicon Valley in New York now it is Silicon Alley. So it's possible that Intel, who by the way has really good process technology. This is an aside, it really allowed TSMC to run the table with the whole seven nanometers versus 10 minute nanometer narrative. TSMC was at seven nanometer. Intel was at 10 nanometer. And really, we've said in the past that Intel's 10 nanometer tech is pretty close to TSMC seven. So Intel's ahead in that regard, even though in terms of, you know, the intervener thickness density, it's it's not, you know. These are sort of games that the semiconductor companies play, but you know it's possible that Intel with the U.S. government and IBM and Samsung could make a play for that New York foundry as part of Intel's trusted foundry strategy and kind of reshuffle that deck in Albany. Sounds like a "Game of Thrones," doesn't it? By the way, TSMC has been so consumed servicing Apple for five nanometer and eventually four nanometer that it's dropped the ball on some of its other's customers, namely Nvidia. And remember, a long-term competitiveness and cost reductions, they all come down to volume. And we think that Intel can't get to volume without an Arm strategy. Okay, so maybe the JV, the Joint Venture that we talked about, maybe we're out on a limb there and that's a stretch. And perhaps Samsung's not willing to play ball, given it's made huge investments in fabs and infrastructure and other resources, locally, but we think it's still viable scenario because we think Samsung definitely would covet a presence in the United States. No good to do that directly but maybe a partnership makes more sense in terms of gaining ground on TSMC. But anyway, let's say Intel can become a trusted foundry with the help of IBM and the U.S. government. Maybe then it could compete on volume. Well, how would that work? Well, let's say Nvidia, let's say they're not too happy with TSMC. Maybe with entertain Intel as a second source. Would that do it? In and of itself, no. But what about AWS and Google and Facebook? Maybe this is a way to placate the U.S. government and call off the antitrust dogs. Hey, we'll give Intel Foundry our business to secure America's semiconductor leadership and future and pay U.S. government. Why don't you chill out, back off a little bit. Microsoft even though, you know, it's not getting as much scrutiny from the U.S. government, it's anti trustee is maybe perhaps are behind it, who knows. But I think Microsoft would be happy to play ball as well. Now, would this give Intel a competitive volume posture? Yes, we think it would, for sure. If it can gain the trust of these companies and the volume we think would be there. But as we've said, currently, this is a very, very long shot because of the, the, the new strategy, the distance the difference in the Foundry business all those challenges that we laid out last week, it's going to take years to play out. But the dots are starting to connect in this scenario and the stakes are exceedingly high hence the importance of the U.S. government. Okay, that's it for now. Thanks to the community for your comments and insights. And thanks again to David Floyer whose analysis around Arm and semiconductors. And this work that he's done for the past decade is of tremendous help. Remember I publish each week on wikibon.com and siliconangle.com. And these episodes are all available as podcasts, just search for braking analysis podcast and you can always connect on Twitter. You can hit the chat right here or this live event or email me at david.vellante@siliconangle.com. Look, I always appreciate the comments on LinkedIn and Clubhouse. You can follow me so you're notified when we start a room and riff on these topics as well as others. And don't forget to check out etr.plus where all the survey data. This is Dave Vellante for the Cube Insights powered by ETR. Be well, and we'll see you next time. (cheerful music) (cheerful music)
SUMMARY :
Announcer: From the Cube's studios And maybe that makes the
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Breaking Analysis: Arm Lays Down The Gauntlet at Intel's Feet
>> From the Cube's studios in Palo Alto in Boston, bringing you data-driven insights from The Cube and ETR. This is "Breaking Analysis" with Dave Vellante. >> Exactly one week after Pat Gelsinger's announcement of his plans to reinvent Intel. Arm announced version nine of its architecture and laid out its vision for the next decade. We believe this vision is extremely strong as it combines an end-to-end capability from Edge to Cloud, to the data center, to the home and everything in between. Arms aspirations are ambitious and powerful. Leveraging its business model, ecosystem and software compatibility with previous generations. Hello every one and welcome to this week's Wikibon Cube Insights powered by ETR. And this breaking analysis will explain why we think this announcement is so important and what it means for Intel and the broader technology landscape. We'll also share with you some feedback that we received from the Cube Community on last week's episode and a little inside baseball on how Intel, IBM, Samsung, TSMC and the U.S. government might be thinking about the shifting landscape of semiconductor technology. Now, there were two notable announcements this week that were directly related to Intel's announcement of March 23rd. The Armv9 news and TSMC's plans to invest a $100 billion in chip manufacturing and development over the next three years. That is a big number. It appears to tramp Intel's plan $20 billion investment to launch two new fabs in the U.S. starting in 2024. You may remember back in 2019, Samsung pledged to invest a $116 billion to diversify its production beyond memory trip, memory chips. Why are all these companies getting so aggressive? And won't this cause a glut in chips? Well, first, China looms large and aims to dominate its local markets, which in turn is going to confer advantages globally. The second, there's a huge chip shortage right now. And the belief is that it's going to continue through the decade and possibly beyond. We are seeing a new inflection point in the demand as we discussed last week. Stemming from digital, IOT, cloud, autos in new use cases in the home as so well presented by Sarjeet Johal in our community. As to the glut, these manufacturers believe that demand will outstrip supply indefinitely. And I understand that a lack of manufacturing capacity is actually more deadly than an oversupply. Look, if there's a glut, manufacturers can cut production and take the financial hit. Whereas capacity constraints mean you can miss entire cycles of growth and really miss out on the demand and the cost reductions. So, all these manufacturers are going for it. Now let's talk about Arm, its approach and the announcements that it made this week. Now last week, we talked about how Pat Gelsinger his vision of a system on package was an attempt to leapfrog system on chip SOC, while Arm is taking a similar system approach. But in our view, it's even broader than the vision laid out by Pat at Intel. Arm is targeting a wide variety of use cases that are shown here. Arm's fundamental philosophy is that the future will require highly specialized chips and Intel as you recall from Pat's announcement, would agree. But Arm historically takes an ecosystem approach that is different from Intel's model. Arm is all about enabling the production of specialized chips to really fit a specific application. For example, think about the amount of AI going on iPhones. They move if I remember from fingerprint to face recognition. This requires specialized neural processing units, NPUs that are designed by Apple for that particular use case. Arm is facilitating the creation of these specialized chips to be designed and produced by the ecosystem. Intel on the other hand has historically taken a one size fits all approach. Built around the x86. The Intel's design has always been about improving the processor. For example, in terms of speed, density, adding vector processing to accommodate AI, et cetera. And Intel does all the design and the manufacturing in any specialization for the ecosystem is done by Intel. Much of the value, that's added from the ecosystem is frankly been bending metal or adding displays or other features at the margin. But, the advantage is that the x86 architecture is well understood. It's consistent, reliable, and let's face it. Most enterprise software runs on x86. So, but very, very different models historically, which we heard from Gelsinger last week they're going to change with a new trusted foundry strategy. Now let's go through an example that might help explain the power of Arm's model. Let's say, your AWS and you're doing graviton. Designing graviton and graviton2. Or Apple, designing the M1 chip, or Tesla designing its own chip, or any other company in in any one of these use cases that are shown here. Tesla is a really good example. In order to optimize for video processing, Tesla needed to add specialized code firmware in the NPU for it's specific use case within autos. It was happy to take off the shelf CPU or GPU or whatever, and leverage Arm's standards there. And then it added its own value in the NPU. So the advantage of this model is Tesla could go from tape out in less or, or, or or in less than a year versus get the tape out in less than a year versus what would normally take many years. Arm is, think of Arm is like customize a Lego blocks that enable unique value add by the ecosystem with a much faster time to market. So like I say, the Tesla goes from logical tape out if you will, to Samsung and then says, okay run this against your manufacturing process. And it should all work as advertised by Arm. Tesla, interestingly, just as an aside chose the 14 nanometer process to keep its costs down. It didn't need the latest and greatest density. Okay, so you can see big difference in philosophies historically between Arm and Intel. And you can see Intel vectoring toward the Arm model based on what Gelsinger said last week for its foundry business. Essentially it has to. Now, Arm announced a new Arm architecture, Armv9. v9 is backwards compatible with previous generations. Perhaps Arm learned from Intel's failed, Itanium effort for those remember that word. Had no backward compatibility and it really floundered. As well, Arm adds some additional capabilities. And today we're going to focus on the two areas that have highlighted, machine learning piece and security. I'll take note of the call out, 300 billion chips. That's Arm's vision. That's a lot. And we've said, before, Arm's way for volumes are 10X those of x86. Volume, we sound like a broken record. Volume equals cost reduction. We'll come back to that a little bit later. Now let's have a word on AI and machine learning. Arm is betting on AI and ML. Big as are many others. And this chart really shows why, it's a graphic that shows ETR data and spending momentum and pervasiveness in the dataset across all the different sectors that ETR tracks within its taxonomy. Note that ML/AI gets the top spot on the vertical axis, which represents net score. That's a measure of spending momentum or spending velocity. The horizontal axis is market share presence in the dataset. And we give this sector four stars to signify it's consistent lead in the data. So pretty reasonable bet by Arm. But the other area that we're going to talk about is security. And its vision day, Arm talked about confidential compute architecture and these things called realms. Note in the left-hand side, showing data traveling all over the different use cases and around the world and the call-out from the CISO below, it's a large public airline CISO that spoke at an ETR Venn round table. And this individual noted that the shifting end points increase the threat vectors. We all know that. Arm said something that really resonated. Specifically, they said today, there's far too much trust on the OS and the hypervisor that are running these applications. And their broad access to data is a weakness. Arm's concept of realms as shown in the right-hand side, underscores the company strategy to remove the assumption that privileged software. Like the hypervisor needs to be able to see the data. So by creating realms, in a virtualized multi-tenant environment, data can be more protected from memory leaks which of course is a major opportunity for hackers that they exploit. So it's a nice concept in a way for the system to isolate attendance data from other users. Okay, we want, we want to share some feedback that we got last week from the community on our analysis of Intel. A tech exec from city pointed out that, Intel really didn't miss a mobile, as we said, it really missed smartphones. In fact, whell, this is a kind of a minor distinction, it's important to recognize we think. Because Intel facilitated WIFI with Centrino, under the direction of Paul Alini. Who by the way, was not an engineer. I think he was the first non-engineer to be the CEO of Intel. He was a marketing person by background. Ironically, Intel's work in wifi connectivity enabled, actually enabled the smartphone revolution. And maybe that makes the smartphone missed by Intel all that more egregious, I don't know. Now the other piece of feedback we received related to our IBM scenario and our three-way joint venture prediction bringing together Intel, IBM, and Samsung in a triumvirate where Intel brings the foundry and it's process manufacturing. IBM brings its dis-aggregated memory technology and Samsung brings its its volume and its knowledge of of volume down the learning curve. Let's start with IBM. Remember we said that IBM with power 10 has the best technology in terms of this notion of dis-aggregating compute from memory and sharing memory in a pool across different processor types. So a few things in this regard, IBM when it restructured its micro electronics business under Ginni Rometty, catalyzed the partnership with global foundries and you know, this picture in the upper right it shows the global foundries facility outside of Albany, New York in Malta. And the partnership included AMD and Samsung. But we believe that global foundries is backed away from some of its contractual commitments with IBM causing a bit of a rift between the companies and leaving a hole in your original strategy. And evidently AMD hasn't really leaned in to move the needle in any way and so the New York foundry, is it a bit of a state of limbo with respect to its original vision. Now, well, Arvind Krishna was the face of the Intel announcement. It clearly has deep knowledge of IBM semiconductor strategy. Dario Gill, we think is a key player in the mix. He's the senior vice president director of IBM research. And it is in a position to affect some knowledge sharing and maybe even knowledge transfer with Intel possibly as it relates to disaggregated architecture. His questions remain as to how open IBM will be. And how protected it will be with its IP. It's got, as we said, last week, it's got to have an incentive to do so. Now why would IBM do that? Well, it wants to compete more effectively with VMware who has done a great job leveraging x86 and that's the biggest competitor in threat to open shift. So Arvind needs Intel chips to really execute on IBM's cloud strategy. Because almost all of IBM's customers are running apps on x86. So IBM's cloud and hybrid cloud. Strategy really need to leverage that Intel partnership. Now Intel for its part has great FinFET technology. FinFET is a tactic goes beyond CMOs. You all mainframes might remember when IBM burned the boat on ECL, Emitter-coupled Logic. And then moved to CMOs for its mainframes. Well, this is the next gen beyond, and it could give Intel a leg up on AMD's chiplet intellectual properties. Especially as it relates to latency. And there could be some benefits there for IBM. So maybe there's a quid pro quo going on. Now, where it really gets interesting is New York Senator, Chuck Schumer, is keen on building up an alternative to Silicon Valley in New York now it is Silicon Alley. So it's possible that Intel, who by the way has really good process technology. This is an aside, it really allowed TSMC to run the table with the whole seven nanometers versus 10 minute nanometer narrative. TSMC was at seven nanometer. Intel was at 10 nanometer. And really, we've said in the past that Intel's 10 nanometer tech is pretty close to TSMC seven. So Intel's ahead in that regard, even though in terms of, you know, the intervener thickness density, it's it's not, you know. These are sort of games that the semiconductor companies play, but you know it's possible that Intel with the U.S. government and IBM and Samsung could make a play for that New York foundry as part of Intel's trusted foundry strategy and kind of reshuffle that deck in Albany. Sounds like a "Game of Thrones," doesn't it? By the way, TSMC has been so consumed servicing Apple for five nanometer and eventually four nanometer that it's dropped the ball on some of its other's customers, namely Nvidia. And remember, a long-term competitiveness and cost reductions, they all come down to volume. And we think that Intel can't get to volume without an Arm strategy. Okay, so maybe the JV, the Joint Venture that we talked about, maybe we're out on a limb there and that's a stretch. And perhaps Samsung's not willing to play ball, given it's made huge investments in fabs and infrastructure and other resources, locally, but we think it's still viable scenario because we think Samsung definitely would covet a presence in the United States. No good to do that directly but maybe a partnership makes more sense in terms of gaining ground on TSMC. But anyway, let's say Intel can become a trusted foundry with the help of IBM and the U.S. government. Maybe then it could compete on volume. Well, how would that work? Well, let's say Nvidia, let's say they're not too happy with TSMC. Maybe with entertain Intel as a second source. Would that do it? In and of itself, no. But what about AWS and Google and Facebook? Maybe this is a way to placate the U.S. government and call off the antitrust dogs. Hey, we'll give Intel Foundry our business to secure America's semiconductor leadership and future and pay U.S. government. Why don't you chill out, back off a little bit. Microsoft even though, you know, it's not getting as much scrutiny from the U.S. government, it's anti trustee is maybe perhaps are behind it, who knows. But I think Microsoft would be happy to play ball as well. Now, would this give Intel a competitive volume posture? Yes, we think it would, for sure. If it can gain the trust of these companies and the volume we think would be there. But as we've said, currently, this is a very, very long shot because of the, the, the new strategy, the distance the difference in the Foundry business all those challenges that we laid out last week, it's going to take years to play out. But the dots are starting to connect in this scenario and the stakes are exceedingly high hence the importance of the U.S. government. Okay, that's it for now. Thanks to the community for your comments and insights. And thanks again to David Floyer whose analysis around Arm and semiconductors. And this work that he's done for the past decade is of tremendous help. Remember I publish each week on wikibon.com and siliconangle.com. And these episodes are all available as podcasts, just search for braking analysis podcast and you can always connect on Twitter. You can hit the chat right here or this live event or email me at david.vellante@siliconangle.com. Look, I always appreciate the comments on LinkedIn and Clubhouse. You can follow me so you're notified when we start a room and riff on these topics as well as others. And don't forget to check out etr.plus where all the survey data. This is Dave Vellante for the Cube Insights powered by ETR. Be well, and we'll see you next time. (cheerful music) (cheerful music)
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Breaking Analysis: Tech Spending Roars Back in 2021
>> Narrator: From theCUBE Studios in Palo Alto, in Boston, bringing you data-driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> Tech spending is poised to rebound as the economy reopens in 2021. CIOs and IT buyers, they expect a 4% increase in 2021 spending based on ETR's latest surveys. And we believe that number will actually be higher, in the six to 7% range even. The big drivers are continued fine tuning of, and investment in digital strategies, for example, cloud security, AI data and automation. Application modernization initiatives continue to attract attention, and we also expect more support with work from home demand, for instance laptops, et cetera. And we're even seeing pent-up demand for data center infrastructure and other major risks to this scenario, they remain the pace of the reopening, of course, no surprise there, however, even if there are speed bumps to the vaccine rollout and achieving herd immunity, we believe tech spending will grow at least two points faster than GDP, which is currently forecast at 4.1%. Hello and welcome to this week's (indistinct) on Cube Insights powered by ETR. In this breaking analysis, we want to update you on our latest macro view of the market, and then highlight a few key sectors that we've been watching, namely cloud with a particular drill down on Microsoft and AWS, security, database, and then we'll look at Dell and VMware as a proxy for the data center. Now here's a look at what IT buyers and CIOs think. This chart shows the latest survey data from ETR and it compares the December results with the year earlier survey. Consistent with our earlier reporting, we see a kind of a swoosh-like recovery with a slower first half and accelerating in the second half. And we think that CIOs are being prudently conservative, 'cause if GDP grows at 4% plus, we fully expect tech spending to outperform. Now let's look at the factors that really drive some of our thinking on that. This is data that we've shown before it asks buyers if they're initiating any of the following strategies in the coming quarter, in the face of the pandemic and you can see there's no change in work from home, really no change in business travel, but hiring freezes, freezing new deployments, these continue to trend down. New deployments continue to be up, layoffs are trending down and hiring is also up. So these are all good signs. Now having said that, one part of our scenario assumes workers return and the current 75% of employees that work from home will moderate by the second half to around 35%. Now that's double the historical average, and that large percentage, that will necessitate continued work from home infrastructure spend, we think and drive HQ spending as well in the data center. Now the caveat of course is that lots of companies are downsizing corporate headquarters, so that could weigh on this dual investment premise that we have, but generally with the easy compare in these tailwinds, we expect solid growth in this coming year. Now, what sectors are showing growth? Well, the same big four that we've been talking about for 10 months, machine intelligence or AI/ML, RPA and broader automation agendas, these lead the pack along with containers and cloud. These four, you can see here above that red dotted line at 40%, that's a 40% net score which is a measure of spending momentum. Now cloud, it's the most impressive because what you see in this chart is spending momentum or net score in the vertical axis and market share or pervasiveness in the data center on the horizontal axis. Now cloud it stands out, as it's has a large market share and it's got spending velocity tied to it. So, I mean that is really impressive for that sector. Now, what we want to do here is do a quick update on the big three cloud revenue for 2020. And so we're looking back at 2020, and this really updates the chart that we showed last week at our CUBE on Cloud event, the only differences Azure, Microsoft reported and this chart shows IaaS estimates for the big three, we had had Microsoft Azure in Q4 at 6.8 billion, it came in at 6.9 billion based on our cloud model. Now the points we previously made on this chart, they stand out. AWS is the biggest, and it's growing more slowly but it throws off more absolute dollars, Azure grew 48% sent last quarter, we had it slightly lower and so we've adjusted that and that's incredible. And Azure continues to close that gap on AWS and we'll see how AWS and Google do when they report next week. We definitely think based on Microsoft result that AWS has upside to these numbers, especially given the Q4 push, year end, and the continued transition to cloud and even Google we think can benefit. Now what we want to do is take a closer look at Microsoft and AWS and drill down into those two cloud leaders. So take a look at this graphic, it shows ETR's survey data for net score across Microsoft's portfolio, and we've selected a couple of key areas. Virtually every sector is in the green and has forward momentum relative to the October survey. Power Automate, which is RPA, Teams is off the chart, Azure itself we've reported on that, is the linchpin of Microsoft's innovation strategy, serverless, AI analytics, containers, they all have over 60% net scores. Skype is the only dog and Microsoft is doing a fabulous job of transitioning its customers to Teams away from Skype. I think there are still people using Skype. Yes, I know it's crazy. Now let's take a look at the AWS portfolio drill down, there's a similar story here for Amazon and virtually all sectors are well into the 50% net scores or above. Yeah, it's lower than Microsoft, but still AWS, very, very large, so across the board strength for the company and it's impressive for a $45 billion cloud company. Only Chime is lagging behind AWS and maybe, maybe AWS needs a Teams-like version to migrate folks off of Chime. Although you do see it's an uptick there relative to the last survey, but still not burning the house down. Now let's take a look at security. It's a sector that we've highlighted for several quarters, and it's really undergoing massive change. This of course was accelerated by the work from home trend, and this chart ranks the CIO and CSO priorities for security, and here you see identity access management stands out. So this bodes well for the likes of Okta and SailPoint, of course endpoint security also ranks highly, and that's good news for a company like CrowdStrike or Forescout, Carbon Black, which was acquired by VMware. And you can see network security is right there as well, I mean, it's all kind of network security but Cisco, Palo Alto, Fortinet are some of the names that we follow closely there, and cloud security, Microsoft, Amazon and Zscaler also stands out. Now, what we want to do now is drill in a little bit and take a look at the vendor map for security. So this chart shows one of our favorite views, it's getting net score or spending momentum on the vertical axis and market share on the horizontal. Okta, note in the upper right of that little chart there that table, Okta remains the highest net score of all the players that we're showing here, SailPoint and CrowdStrike definitely looming large, Microsoft continues to be impressive because of its both presence, you can see that dot in the upper right there and it's momentum, and you know, for context, we've included some of the legacy names like RSA and McAfee and Symantec, you could see them in the red as is IBM, and then the rest of the pack, they're solidly in the green, we've said this before security remains a priority, it's a very strong market, CIOs and CSOs have to spend on it, they're accelerating that spending, and it's a fragmented space with lots of legitimate players, and it's undergoing a major change, and with the SolarWinds hack, it's on everyone's radar even more than we've seen with earlier high profile breaches, we have some other data that we'll share in the future, on that front, but in the interest of time, we'll press on here. Now, one of the other sectors that's undergoing significant changes, database. And so if you take a look at the latest survey data, so we're showing that same xy-view, the first thing that we call your attention to is Snowflake, and we've been reporting on this company for years now, and sharing ETR data for well over a year. The company continues to impress us with spending momentum, this last survey it increased from 75% last quarter to 83% in the latest survey. This is unbelievable because having now done this for quite some time, many, many quarters, these numbers are historically not sustainable and very rarely do you see that kind of increase from the mid-70s up into the '80s. So now AWS is the other big call out here. This is a company that has become a database powerhouse, and they've done that from a standing start and they've become a leader in the market. Google's momentum is also impressive, especially with it's technical chops, it gets very, very high marks for things like BigQuery, and so you can see it's got momentum, it does not have the presence in the market to the right, that for instance AWS and Microsoft have, and that brings me to Microsoft is also notable, because it's so large and look at the momentum, it's got very, very strong spending momentum as well, so look, this database market it's seeing dramatically different strategies. Take Amazon for example, it's all about the right tool for the right job, they get a lot of different data stores with specialized databases, for different use cases, Aurora for transaction processing, Redshift for analytics, I want a key value store, hey, some DynamoDB, graph database? You got little Neptune, document database? They've got that, they got time series database, so very, very granular portfolio. You got Oracle on the other end of the spectrum. It along with several others are converging capabilities and that's a big trend that we're seeing across the board, into, sometimes we call it a mono database instead of one database fits all. Now Microsoft's world kind of largely revolves around SQL and Azure SQL but it does offer other options. But the big difference between Microsoft and AWS is AWS' approach is really to maximize the granularity in the technical flexibility with fine-grained access to primitives and APIs, that's their philosophy, whereas Microsoft with synapse for example, they're willing to build that abstraction layer as a means of simplifying the experiences. AWS, they've been reluctant to do this, their approach favors optionality and their philosophy is as the market changes, that will give them the ability to move faster. Microsoft's philosophy favors really abstracting that complexity, now that adds overhead, but it does simplify, so these are two very interesting counter poised strategies that we're watching and we think there's room for both, they're just not necessarily one better than the other, it's just different philosophies and different approaches. Now Snowflake for its part is building a data cloud on top of AWS, Google and Azure, so it's another example of adding value by abstracting away the underlying infrastructure complexity and it obviously seems to be working well, albeit at a much smaller scale at this point. Now let's talk a little bit about some of the on-prem players, the legacy players, and we'll use Dell and VMware as proxies for these markets. So what we're showing here in this chart is Dell's net scores across select parts of its portfolio and it's a pretty nice picture for Dell, I mean everything, but Desktop is showing forward momentum relative to previous surveys, laptops continue to benefit from the remote worker trend, in fact, PCs actually grew this year if you saw our spot on Intel last week, PCs had peaked, PC volume at peaked in 2011 and it actually bumped up this year but it's not really, we don't think sustainable, but nonetheless it's been a godsend during the pandemic as data center infrastructure has been softer. Dell's cloud is up and that really comprises a bunch of infrastructure along with some services, so that's showing some strength that both, look at storage and server momentum, they seem to be picking up and this is really important because these two sectors have been lagging for Dell. But this data supports our pent-up demand premise for on-prem infrastructure, and we'll see if the ETR survey which is forward-looking translates into revenue growth for Dell and others like HPE. Now, what about Dell's favorite new toy over at VMware? Let's take a look at that picture for VMware, it's pretty solid. VMware cloud on AWS, we've been reporting on that for several quarters now, it's showing up in the ETR survey and it is well, it's somewhat moderating, it's coming down from very high spending momentum, so it's still, we think very positive. NSX momentum is coming back in the survey, I'm not sure what happened there, but it's been strong, VMware's on-prem cloud with VCF VMware Cloud Foundation, that's strong, Tanzu was a bit surprising because containers are very hot overall, so that's something we're watching, seems to be moderating, maybe the market says okay, you did great VMware, you're embracing containers, but Tanzu is maybe not the, we'll see, we'll see how that all plays out. I think it's the right strategy for VMware to embrace that container strategy, but we said remember, everybody said containers are going to kill VMware, well, VMware rightly, they've embraced cloud with VMware cloud on AWS, they're embracing containers. So we're seeing much more forward-thinking strategies and management philosophies. Carbon Black, that benefits from the security tailwind, and then the core infrastructure looks good, vSAN, vSphere and VDI. So the big thing that we're watching for VMware, is of course, who's going to be the next CEO. Is it going to be Zane Rowe, who's now the acting CEO? And of course he's been the CFO for years. Who's going to get that job? Will it be Sanjay Poonen? The choice I think is going to say much about the direction of VMware going forward in our view. Succeeding Pat Gelsinger is like, it's going to be like following Peyton Manning at QB, but this summer we expect Dell to spin out VMware or do some other kind of restructuring, and restructure both VMware and Dell's balance sheet, it wants to get both companies back to investment grade and it wants to set a new era in motion or it's going to set a new era in motion. Now that financial transaction, maybe it does call for a CFO in favor of such a move and can orchestrate such a move, but certainly Sanjay Poonen has been a loyal soldier and he's performed very well in his executive roles, not just at VMware, but previous roles, SAP and others. So my opinion there's no doubt he's ready and he's earned it, and with, of course with was no offense to Zane Rowe by the way, he's an outstanding executive too, but the big questions for Dell and VMware's what will the future of these two companies look like? They've dominated, VMware especially has dominated the data center for a decade plus, they're responding to cloud, and some of these new trends, they've made tons of acquisitions and Gelsinger has orchestrated TAM expansion. They still got to get through paying down the debt so they can really double down on an innovation agenda from an R&D perspective, that's been somewhat hamstrung and to their credit, they've done a great job of navigating through Dell's tendency to take VMware cash and restructure its business to go public, and now to restructure both companies to do the pivotal acquisition, et cetera, et cetera, et cetera and clean up it's corporate structure. So it's been a drag on VMware's ability to use its free cash flow for R&D, and again it's been very impressive what it's been able to accomplish there. On the Dell side of the house, it's R&D largely has gone to kind of new products, follow-on products and evolutionary kind of approach, and it would be nice to see Dell be able to really double down on the innovation agenda especially with the looming edge opportunity. Look R&D is the lifeblood of a tech company, and there's so many opportunities across the clouds and at The Edge we've talked this a lot, I haven't talked much about or any about IBM, we wrote a piece last year on IBM's innovation agenda, really hinges on its R&D. It seems to be continuing to favor dividends and stock buybacks, that makes it difficult for the company to really invest in its future and grow, its promised growth, Ginni Rometty promised growth, that never really happened, Arvind Krishna is now promising growth, hopefully it doesn't fall into the same pattern of missed promises, and my concern there is that R&D, you can't just flick a switch and pour money and get a fast return, it takes years to get that. (Dave chuckles) We talked about Intel last week, so similar things going on, but I digress. Look, these guys are going to require in my view, VMware, Dell, I'll put HPE in there, they're going to require organic investment to get back to growth, so we're watching these factors very, very closely. Okay, got to wrap up here, so we're seeing IT spending growth coming in as high as potentially 7% this year, and it's going to be powered by the same old culprits, cloud, AI, automation, we'll be doing an RPA update soon here, application modernization, and the new work paradigm that we think will force increased investments in digital initiatives. The doubling of the expectation of work from home is significant, and so we see this hybrid world, not just hybrid cloud but hybrid work from home and on-prem, this new digital world, and it's going to require investment in both cloud and on-prem, and we think that's going to lift both boats but cloud, clearly the big winner. And we're not by any means suggesting that their growth rates are going to somehow converge, they're not, cloud will continue to outpace on-prem by several hundred basis points, throughout the decade we think. And AWS and Microsoft are in the top division of that cloud bracket. Security markets are really shifting and we continue to like the momentum of companies in identity and endpoint and cloud security, especially the pure plays like CrowdStrike and Okta and SailPoint, and Zscaler and others that we've mentioned over the past several quarters, but CSOs tell us they want to work with the big guys too, because they trust them, especially Palo Alto networks, Cisco obviously in the mix, their security business continues to outperform the balance of Cisco's portfolio, and these companies, they have resources to withstand market shifts and we'll do a deeper drill down at the security soon and update you on other trends, on other companies in that space. Now the database world, it continues to heat up, I used to say on theCUBE all the time that decade and a half ago database was boring and now database is anything but, and thank you to cloud databases and especially Snowflake, it's data cloud vision, it's simplicity, we're seeing lots of different ways though, to skin the cat, and while there's disruption, we believe Oracle's position is solid because it owns Mission-Critical, that's its stronghold, and we really haven't seen those workloads migrate into the cloud, and frankly, I think it's going to be hard to rest those away from Oracle. Now, AWS and Microsoft, they continue to be the easy choice for a lot of their customers. Microsoft migrating its software state, AWS continues to innovate, we've got a lot of database choices, the right tool for the right job, so there's lots of innovation going on in databases beyond these names as well, and we'll continue to update you on these markets shortly. Now, lastly, it's quite notable how well some of the legacy names have navigated through COVID. Sure, they're not rocketing like many of the work-from-home stocks, but they've been able to thus far survive, and in the example of Dell and VMware, the portfolio diversity has been a blessing. The bottom line is the first half of 2021 seems to be shaping up as we expected, momentum for the strongest digital plays, low interest rates helping large established companies hang in there with strong balance sheets, and large customer bases. And what will be really interesting to see is what happens coming out of the pandemic. Will the rich get richer? Yeah, well we think so. But we see the legacy players adjusting their business models, embracing change in the market and steadily moving forward. And we see at least a dozen new players hitting the radar that could become leaders in the coming decade, and as always, we'll be highlighting many of those in our future episodes. Okay, that's it for now, listen, these episodes remember, they're all available as podcasts, all you got to do is search for Breaking Analysis Podcasts and you'll you'll get them so please listen, like them, if you like them, share them, really, I always appreciate that, I publish weekly on wikibon.com and siliconangle.com, and really would appreciate your comments and always do in my LinkedIn posts, or you can always DM me @dvellante or email me at david.vellante@siliconangle.com, and tell me what you think is happening out there. Don't forget to check out ETR+ for all the survey action, this is David Vellante, thanks for watching theCUBE Insights powered by ETR. Stay safe, we'll see you next time. (downbeat music)
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Muddu Sudhakar, Investor | theCUBE on Cloud 2021
(gentle music) >> From the Cube Studios in Palo Alto and Boston, connecting with thought leaders all around the world. This is theCube Conversation. >> Hi everybody, this is Dave Vellante, we're back at Cube on Cloud, and with me is Muddu Sudhakar. He's a long time alum of theCube, a technologist and executive, a serial entrepreneur and an investor. Welcome my friend, good to see you. >> Good to see you, Dave. Pleasure to be with you. Happy elections, I guess. >> Yeah, yeah. So I wanted to start, this work from home, pivot's been amazing, and you've seen the enterprise collaboration explode. I wrote a piece a couple months ago, looking at valuations of various companies, right around the snowflake IPO, I want to ask you about that, but I was looking at the valuations of various companies, at Spotify, and Shopify, and of course Zoom was there. And I was looking at just simple revenue multiples, and I said, geez, Zoom actually looks, might look undervalued, which is crazy, right? And of course the stock went up after that, and you see teams, Microsoft Teams, and Microsoft doing a great job across the board, we've written about that, you're seeing Webex is exploding, I mean, what do you make of this whole enterprise collaboration play? >> No, I think the look there is a trend here, right? So I think this probably trend started before COVID, but COVID is going to probably accelerate this whole digital transformation, right? People are going to work remotely a lot more, not everybody's going to come back to the offices even after COVID, so I think this whole collaboration through Slack, and Zoom, and Microsoft Teams and Webex, it's going to be the new game now, right? Both the video, audio and chat solutions, that's really going to help people like eyeballs. You're not going to spend time on all four of them, right? It's like everyday from a consumer side, you're going to spend time on your Gmail, Facebook, maybe Twitter, maybe Instagram, so like in the consumer side, on your personal life, you have something on the enterprise. The eyeballs are going to be in these platforms. >> Yeah. Well. >> But we're not going to take everything. >> Well, So you are right, there's a permanence to this, and I got a lot of ground to cover with you. And I always like our conversations mood because you tell it like it is, I'm going to stay on that work from home pivot. You know a lot about security, but you've seen three big trends, like mega trends in security, Endpoint, Identity Access Management, and Cloud Security, you're seeing this in the stock prices of companies like CrowdStrike, Zscaler, Okta- >> Right >> Sailpoint- >> Right, I mean, they exploded, as a result of the pandemic, and I think I'm inferring from your comment that you see that as permanent, but that's a real challenge from a security standpoint. What's the impact of Cloud there? >> No, it isn't impact but look, first is all the services required to be Cloud, right? See, the whole ideas for it to collaborate and do these things. So you cannot be running an application, like you can't be running conference and SharePoint oN-Prem, and try to on a Zoom and MS teams. So that's why, if you look at Microsoft is very clever, they went with Office 365, SharePoint 365, now they have MS Teams, so I think that Cloud is going to drive all these workloads that you have been talking about a lot, right? You and John have been saying this for years now. The eruption of Cloud and SAS services are the vehicle to drive this next-generation collaboration. >> You know what's so cool? So Cloud obviously is the topic, I wonder how you look at the last 10 years of Cloud, and maybe we could project forward, I mean the big three Cloud vendors, they're running it like $20 billion a quarter, and they're growing collectively, 35, 40% clips, so we're really approaching a hundred billion dollars for these three. And you hear stats like only 20% of the workloads are in the public Cloud, so it feels like we're just getting started. How do you look at the impact of Cloud on the market, as you say, the last 10 years, and what do you expect going forward? >> No, I think it's very fascinating, right? So I remember when theCube, you guys are talking about 10 years back, now it's been what? More than 10 years, 15 years, since AWS came out with their first S3 service back in 2006. >> Right. >> Right? so I think look, Cloud is going to accelerate even more further. The areas is going to accelerate is for different reasons. I think now you're seeing the initial days, it's all about startups, initial workloads, Dev test and QA test, now you're talking about real production workloads are moving towards Cloud, right? Initially it was backup, we really didn't care for backup they really put there. Now you're going to have Cloud health primary services, your primary storage will be there, it's not going to be an EMC, It's not going to be a NetApp storage, right? So workloads are going to shift from the business applications, and these business applications, will be running on the Cloud, and I'll make another prediction, make customer service and support. Customer service and support, again, we should be running on the Cloud. You're not want to run the thing on a Dell server, or an IBM server, or an HP server, with your own hosted environment. That model is not because there's no economies of scale. So to your point, what will drive Cloud for the next 10 years, will be economies of scale. Where can you take the cost? How can I save money? If you don't move to the Cloud, you won't save money. So all those workloads are going to go to the Cloud are people who really want to save, like global gradual custom, right? If you stay on the ASP model, a hosted, you're not going to save your costs, your costs will constantly go up from a SaaS perspective. >> So that doesn't bode well for all the On-prem guys, and you hear a lot of the vendors that don't own a Cloud that talk about repatriation, but the numbers don't support that. So what do those guys do? I mean, they're talking multi-Cloud, of course they're talking hybrid, that's IBM's big play, how do you see it? >> I think, look, see there, to me, multi-Cloud makes sense, right? You don't want one vendor that you never want to get, so having Amazon, Microsoft, Google, it gives them a multi-Cloud. Even hybrid Cloud does make sense, right? There'll be some workloads. It's like, we are still running On-prem environment, we still have mainframe, so it's never going to be a hundred percent, but I would say the majority, your question is, can we get to 60, 70, 80% workers in the next 10 years? I think you will. I think by 2025, more than 78% of the Cloud Migration by the next five years, 70% of workload for enterprise will be on the Cloud. The remaining 25, maybe Hybrid, maybe On-prem, but I get panics, really doesn't matter. You have saved and part of your business is running on the Cloud. That's your cost saving, that's where you'll see the economies of scale, and that's where all the growth will happen. >> So square the circle for me, because again, you hear the stat on the IDC stat, IBM Ginni Rometty puts it out there a lot that only 20% of the workloads are in the public Cloud, everything else is On-prem, but it's not a zero sum game, right? I mean the Cloud native stuff is growing like crazy, the On-prem stuff is flat to down, so what's going to happen? When you talk about 70% of the workloads will be in the Cloud, do you see those mission critical apps and moving into the car, I mean the insurance companies going to put their claims apps in the Cloud, or the financial services companies going to put their mission critical workloads in the Cloud, or they just going to develop new stuff that's Cloud native that is sort of interacts with the On-prem. How do you see that playing out? >> Yeah, no, I think absolutely, I think a very good question. So two things will happen. I think if you take an enterprise, right? Most businesses what they'll do is the workloads that they should not be running On-prem, they'll move it up. So obviously things like take, as I said, I use the word SharePoint, right? SharePoint and conference, all the knowledge stuff is still running on people's data centers. There's no reason. I understand, I've seen statistics that 70, 80% of the On-prem for SharePoint will move to SharePoint on the Cloud. So Microsoft is going to make tons of money on that, right? Same thing, databases, right? Whether it's CQL server, whether there is Oracle database, things that you are running as a database, as a Cloud, we move to the Cloud. Whether that is posted in Oracle Cloud, or you're running Oracle or Mongo DB, or Dynamo DB on AWS or SQL server Microsoft, that's going to happen. Then what you're talking about is really the App concept, the applications themselves, the App server. Is the App server is going to run On-prem, how much it's going to laureate outside? There may be a hybrid Cloud, like for example, Kafka. I may use a Purse running on a Kafka as a service, or I may be using Elasticsearch for my indexing on AWS or Google Cloud, but I may be running my App locally. So there'll be some hybrid place, but what I would say is for every application, 75% of your Comprende will be on the Cloud. So think of it like the Dev. So even for the On-prem app, you're not going to be a 100 percent On-prem. The competent, the billing materials will move to the Cloud, your Purse, your storage, because if you put it On-prem, you need to add all this, you need to have all the whole things to buy it and hire the people, so that's what is going to happen. So from a competent perspective, 70% of your bill of materials will move to the Cloud, even for an On-prem application. >> So, Of course, the susification of the industry in the last decade and in my three favorite companies last decade, you've worked for two of them, Tableau, ServiceNow, and Splunk. I want to ask you about those, but I'm interested in the potential disruption there. I mean, you've got these SAS companies, Salesforce of course is another one, but they can't get started in 1999. What do you see happening with those? I mean, we're basically building these sort of large SAS, platforms, now. Do you think that the Cloud native world that developers can come at this from an angle where they can disrupt those companies, or are they too entrenched? I mean, look at service now, I mean, I don't know, $80 billion market capital where they are, they bigger than Workday, I mean, just amazing how much they've grown and you feel like, okay, nothing can stop them, but there's always disruption in this industry, what are your thoughts on that. >> Not very good with, I think there'll be disrupted. So to me actually to your point, ServiceNow is now close to a 100 billion now, 95 billion market coverage, crazy. So from evaluation perspective, so I think the reason they'll be disrupted is that the SAS vendors that you talked about, ServiceNow, and all this plan, most of these services, they're truly not a multi-tenant or what do you call the Cloud Native. And that is the Accenture. So because of that, they will not be able to pass the savings back to the enterprises. So the cost economics, the economics that the Cloud provides because of the multi tenancy ability will not. The second reason there'll be disrupted is AI. So far, we talked about Cloud, but AI is the core. So it's not really Cloud Native, Dave, I look at the AI in a two-piece. AI is going to change, see all the SAS vendors were created 20 years back, if you remember, was an operator typing it, I don't respond administered we'll type a Splunk query. I don't need a human to type a query anymore, system will actually find it, that's what the whole security game has changed, right? So what's going to happen is if you believe in that, that AI, your score will disrupt all the SAS vendors, so one angle SAS is going to have is a Cloud. That's where you make the Cloud will take up because a SAS application will be Cloudified. Being SAS is not Cloud, right? Second thing is SAS will be also, I call it, will be AI-fied. So AI and machine learning will be trying to drive at the core so that I don't need that many licenses. I don't need that many humans. I don't need that many administrators to manage, I call them the tuners. Once you get a driverless car, you don't need a thousand tuners to tune your Tesla, or Google Waymo car. So the same philosophy will happen is your Dev Apps, your administrators, your service management, people that you need for service now, and these products, Zendesk with AI, will tremendously will disrupt. >> So you're saying, okay, so yeah, I was going to ask you, won't the SAS vendors, won't they be able to just put, inject AI into their platforms, and I guess I'm inferring saying, yeah, but a lot of the problems that they're solving, are going to go away because of AI, is that right? And automation and RPA and things of that nature, is that right? >> Yes and no. So I'll tell you what, sorry, you have asked a very good question, let's answer, let me rephrase that question. What you're saying is, "Why can't the existing SAS vendors do the AI?" >> Yes, right. >> Right, >> And there's a reason they can't do it is their pricing model is by number of seats. So I'm not going to come to Dave, and say, come on, come pay me less money. It's the same reason why a board and general lover build an electric car. They're selling 10 million gasoline cars. There's no incentive for me, I'm not going to do any AI, I'm going to put, I'm not going to come to you and say, hey, buy me a hundred less license next year from it. So that is one reason why AI, even though these guys do any AI, it's going to be just so I call it, they're going to, what do you call it, a whitewash, kind of like you put some paint brush on it, trying to show you some AI you did from a marketing dynamics. But at the core, if you really implement the AI with you take the driver out, how are you going to change the pricing model? And being a public company, you got to take a hit on the pricing model and the price, and it's going to have a stocking part. So that, to your earlier question, will somebody disrupt them? The person who is going to disrupt them, will disrupt them on the pricing model. >> Right. So I want to ask you about that, because we saw a Snowflake, and it's IPO, we were able to pour through its S-1, and they have a different pricing model. It's a true Cloud consumption model, Whereas of course, most SAS companies, they're going to lock you in for at least one year term, maybe more, and then, you buy the license, you got to pay X. If you, don't use it, you still got to pay for it. Snowflake's different, actually they have a different problem, that people are using it too much and the sea is driving the CFO crazy because the bill is going up and up and up, but to me, that's the right model, It's just like the Amazon model, if you can justify it, so how do you see the pricing, that consumption model is actually, you're seeing some of the On-prem guys at HPE, Dell, they're doing as a service. They're kind of taking a page out of the last decade SAS model, so I think pricing is a real tricky one, isn't it? >> No, you nailed it, you nailed it. So I think the way in which the Snowflake there, how the disruptors are data warehouse, that disrupted the open source vendors too. Snowflake distributed, imagine the playbook, you disrupted something as the $ 0, right? It's an open source with Cloudera, Hortonworks, Mapper, that whole big data that you want me to, or that market is this, that disrupting data warehouses like Netezza, Teradata, and the charging more money, they're making more money and disrupting at $0, because the pricing models by consumption that you talked about. CMT is going to happen in the service now, Zen Desk, well, 'cause their pricing one is by number of seats. People are going to say, "How are my users are going to ask?" right? If you're an employee help desk, you're back to your original health collaborative. I may be on Slack, I could be on zoom, I'll maybe on MS Teams, I'm going to ask by using usage model on Slack, tools by employees to service now is the pricing model that people want to pay for. The more my employees use it, the more value I get. But I don't want to pay by number of seats, so the vendor, who's going to figure that out, and that's where I look, if you know me, I'm right over as I started, that's what I've tried to push that model look, I love that because that's the core of how you want to change the new game. >> I agree. I say, kill me with that problem, I mean, some people are trying to make it a criticism, but you hit on the point. If you pay more, it's only because you're getting more value out of it. So I wanted to flip the switch here a little bit and take a customer angle. Something that you've been on all sides. And I want to talk a little bit about strategies, you've been a strategist, I guess, once a strategist, always a strategist. How should organizations be thinking about their approach to Cloud, it's cost different for different industries, but, back when the cube started, financial services Cloud was a four-letter word. But of course the age of company is going to matter, but what's the framework for figuring out your Cloud strategy to get to your 70% and really take advantage of the economics? Should I be Mono Cloud, Multi-Cloud, Multi-vendor, what would you advise? >> Yeah, no, I mean, I mean, I actually call it the tech stack. Actually you and John taught me that what was the tech stack, like the lamp stack, I think there is a new Cloud stack needs to come, and that I think the bottomline there should be... First of all, anything with storage should be in the Cloud. I mean, if you want to start, whether you are, financial, doesn't matter, there's no way. I come from cybersecurity side, I've seen it. Your attackers will be more with insiders than being on the Cloud, so storage has to be in the Cloud then come compute, Kubernetes. If you really want to use containers and Kubernetes, it has to be in the public Cloud, leverage that have the computer on their databases. That's where it can be like if your data is so strong, maybe run it On-prem, maybe have it on a hosted model for when it comes to database, but there you have a choice between hybrid Cloud and public Cloud choice. Then on top when it comes to App, the app itself, you can run locally or anywhere, the App and database. Now the areas that you really want to go after to migrate is look at anything that's an enterprise workload that you don't need people to manage it. You want your own team to move up in the career. You don't want thousand people looking at... you don't want to have a, for example, IT administrators to call central people to the people to manage your compute storage. That workload should be more, right? You already saw Sierra moved out to Salesforce. We saw collaboration already moved out. Zoom is not running locally. You already saw SharePoint with knowledge management mode up, right? With a box, drawbacks, you name anything. The next global mode is a SAS workloads, right? I think Workday service running there, but work data will go into the Cloud. I bet at some point Zendesk, ServiceNow, then either they put it on the public Cloud, or they have to create a product and public Cloud. To your point, these public Cloud vendors are at $2 trillion market cap. They're they're bigger than the... I call them nation States. >> Yeah, >> So I'm servicing though. I mean, there's a 2 trillion market gap between Amazon and Azure, I'm not going to compete with them. So I want to take this workload to run it there. So all these vendors, if you see that's where Shandra from Adobe is pushing this right, Adobe, Workday, Anaplan, all the SAS vendors we'll move them into the public Cloud within these vendors. So those workloads need to move out, right? So that all those things will start, then you'll start migrating, but I call your procurement. That's where the RPA comes in. The other thing that we didn't talk about, back to your first question, what is the next 10 years of Cloud will be RPA? That third piece to Cloud is RPA because if you have your systems On-prem, I can't automate them. I have to do a VPN into your house there and then try to automate your systems, or your procurement, et cetera. So all these RPA vendors are still running On-prem, most of them, whether it's UI path automation anywhere. So the Cloud should be where the brain should be. That's what I call them like the octopus analogy, the brain is in the Cloud, the tentacles are everywhere, they should manage it. But if my tentacles have to do a VPN with your house to manage it, I'm always will have failures. So if you look at the why RPA did not have the growth, like the Snowflake, like the Cloud, because they are running it On-prem, most of them still. 80% of the RP revenue is On-prem, running On-prem, that needs to be called clarified. So AI, RPA and the SAS, are the three reasons Cloud will take off. >> Awesome. Thank you for that. Now I want to flip the switch again. You're an investor or a multi-tool player here, but so if you're, let's say you're an ecosystem player, and you're kind of looking at the landscape as you're in an investor, of course you've invested in the Cloud, because the Cloud is where it's at, but you got to be careful as an ecosystem player to pick a spot that both provides growth, but allows you to have a moat as, I mean, that's why I'm really curious to see how Snowflake's going to compete because they're competing with AWS, Microsoft, and Google, unlike, Frank, when he was at service now, he was competing with BMC and with on-prem and he crushed it, but the competitors are much more capable here, but it seems like they've got, maybe they've got a moat with MultiCloud, and that whole data sharing thing, we'll see. But, what about that? Where are the opportunities? Where's that white space? And I know there's a lot of white space, but what's the framework to look at, from an investor standpoint, or even a CEO standpoint, where you want to put place your bets. >> No, very good question, so look, I did something. We talk as an investor in the board with many companies, right? So one thing that says as an investor, if you come back and say, I want to create a next generation Docker or a computer, there's no way nobody's going to invest. So that we can motor off, even if you want to do object storage or a block storage, I mean, I've been an investor board member of so many storage companies, there's no way as an industry, I'll write a check for a compute or storage, right? If you want to create a next generation network, like either NetSuite, or restart Juniper, Cisco, there is no way. But if you come back and say, I want to create a next generation Viper for remote working environments, where AI is at the core, I'm interested in that, right? So if you look at how the packets are dropped, there's no intelligence in either not switching today. The packets come, I do it. The intelligence is not built into the network with AI level. So if somebody comes with an AI, what good is all this NVD, our GPS, et cetera, if you cannot do wire speed, packet inspection, looking at the content and then route the traffic. If I see if it's a video package, but in UN Boston, there's high interview day of they should be loading our package faster, because you are a premium ISP. That intelligence has not gone there. So you will see, and that will be a bad people will happen in the network, switching, et cetera, right? So that is still an angle. But if you work and it comes to platform services, remember when I was at Pivotal and VMware, all models was my boss, that would, yes, as a platform, service is a game already won by the Cloud guys. >> Right. (indistinct) >> Silicon Valley Investors, I don't think you want to invest in past services, right? I mean, you might come with some lecture edition database to do some updates, there could be some game, let's say we want to do a time series database, or some metrics database, there's always some small angle, but the opportunity to go create a national database there it's very few. So I'm kind of eliminating all the black spaces, right? >> Yeah. >> We have the white spaces that comes in is the SAS level. Now to your point, if I'm Amazon, I'm going to compete with Snowflake, I have Redshift. So this is where at some point, these Cloud platforms, I call them aircraft carriers. They're not going to stay on the aircraft carriers, they're going to own the land as well. So they're going to move up to the SAS space. The question is you want to create a SAS service like CRM. They are not going to create a CRM like service, they may not create a sales force and service now, but if you're going to add a data warehouse, I can very well see Azure, Google, and AWS, going to create something to compute a Snowflake. Why would I not? It's so close to my database and data warehouse, I already have Redshift. So that's going to be nightlights, same reason, If you look at Netflix, you have a Netflix and you have Amazon prime. Netflix runs on Amazon, but you have Amazon prime. So you have the same model, you have Snowflake, and you'll have Redshift. The both will help each other, there'll be a... What do you call it? Coexistence will happen. But if you really want to invest, you want to invest in SAS companies. You do not want to be investing in a compliment players. You don't want to a feature. >> Yeah, that's great, I appreciate that perspective. And I wonder, so obviously Microsoft play in SAS, Google's got G suite. And I wonder if people often ask the Andy Jassy, you're going to move up the stack, you got to be an application, a SAS vendor, and you never say never with Atavist, But I wonder, and we were talking to Jerry Chen about this, years ago on theCube, and his angle was that Amazon will play, but they'll play through developers. They'll enable developers, and they'll participate, they'll take their, lick off the cone. So it's going to be interesting to see how directly Amazon plays, but at some point you got Tam expansion, you got to play in that space. >> Yeah, I'll give you an example of knowing, I got acquired by a couple of times by EMC. So I learned a lot from Joe Tucci and Paul Merage over the years. see Paul and Joe, what they did is to look at how 20 years, and they are very close to Boston in your area, Joe, what games did is they used to sell storage, but you know what he did, he went and bought the Apps to drive them. He bought like Legato, he bought Documentum, he bought Captiva, if you remember how he acquired all these companies as a services, he bought VMware to drive that. So I think the good angle that Microsoft has is, I'm a SAS player, I have dynamics, I have CRM, I have SharePoint, I have Collaboration, I have Office 365, MS Teams for users, and then I have the platform as Azure. So I think if I'm Amazon, (indistinct). I got to own the apps so that I can drive this workforce on my platform. >> Interesting. >> Just going to developers, like I know Jerry Chan, he was my peer a BMF. I don't think just literally to developers and that model works in open source, but the open source game is pretty much gone, and not too many companies made money. >> Well, >> Most companies pretty much gone. >> Yeah, he's right. Red hats not bad idea. But it's very interesting what you're saying there. And so, hey, its why Oracle wants to have Tiktok, running on their platform, right? I mean, it's going to. (laughing) It's going to drive that further integration. I wanted to ask you something, you were talking about, you wouldn't invest in storage or compute, but I wonder, and you mentioned some commentary about GPU's. Of course the videos has been going crazy, but they're now saying, okay, how do we expand our Team, they make the acquisition of arm, et cetera. What about this DPU thing, if you follow that, that data processing unit where they're like hyper dis-aggregation and then they reaggregate, and as an offload and really to drive data centric workloads. Have you looked at that at all? >> I did, I think, and that's a good angle. So I think, look, it's like, it goes through it. I don't know if you remember in your career, we have seen it. I used to get Silicon graphics. I saw the first graphic GPU, right? That time GPU was more graphic processor unit, >> Right, yeah, work stations. >> So then become NPUs at work processing units, right? There was a TCP/IP office offloading, if you remember right, there was like vector processing unit. So I think every once in a while the industry, recreated this separate unit, as a co-processor to the main CPU, because main CPU's inefficient, and it makes sense. And then Google created TPU's and then we have the new world of the media GPU's, now we have DPS all these are good, but what's happening is, all these are driving for machine learning, AI for the training period there. Training period Sometimes it's so long with the workloads, if you can cut down, it makes sense. >> Yeah. >> Because, but the question is, these aren't so specialized in nature. I can't use it for everything. >> Yup. >> I want Ideally, algorithms to be paralyzed, I want the training to be paralyzed, I want so having deep use and GPS are important, I think where I want to see them as more, the algorithm, there should be more investment from the NVIDIA's and these guys, taking the algorithm to be highly paralyzed them. (indistinct) And I think that still has not happened in industry yet. >> All right, so we're pretty much out of time, but what are you doing these days? Where are you spending your time, are you still in Stealth, give us a little glimpse. >> Yeah, no, I'm out of the Stealth, I'm actually the CEO of Aisera now, Aisera, obviously I invested with them, but I'm the CEO of Aisero. It's funded by Menlo ventures, Norwest, True, along with Khosla ventures and Ram Shriram is a big investor. Robin's on the board of Google, so these guys, look, we are going out to the collaboration game. How do you automate customer service and support for employees and then users, right? In this whole game, we talked about the Zoom, Slack and MS Teams, that's what I'm spending time, I want to create next generation service now. >> Fantastic. Muddu, I always love having you on you, pull punches, you tell it like it is, that you're a great visionary technologist. Thanks so much for coming on theCube, and participating in our program. >> Dave, it's always a pleasure speaking to you sir. Thank you. >> Okay. Keep it right there, there's more coming from Cuba and Cloud right after this break. (slow music)
SUMMARY :
From the Cube Studios Welcome my friend, good to see you. Pleasure to be with you. I want to ask you about that, but COVID is going to probably accelerate Yeah. because you tell it like it is, that you see that as permanent, So that's why, if you look I wonder how you look at you guys are talking about 10 years back, So to your point, what will drive Cloud and you hear a lot of the I think you will. the On-prem stuff is flat to Is the App server is going to run On-prem, I want to ask you about those, So the same philosophy will So I'll tell you what, sorry, I'm not going to come to you and say, hey, the license, you got to pay X. I love that because that's the core But of course the age of Now the areas that you So AI, RPA and the SAS, where you want to put place your bets. So if you look at how Right. but the opportunity to go So you have the same So it's going to be interesting to see the Apps to drive them. I don't think just literally to developers I wanted to ask you something, I don't know if you AI for the training period there. Because, but the question is, taking the algorithm to but what are you doing these days? but I'm the CEO of Aisero. Muddu, I always love having you on you, pleasure speaking to you sir. right after this break.
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Dave Humphrey, Bain Capital
(soft music) >> Hello everyone and welcome back to theCUBE on Cloud, where we're talking to CEOs, CIOs, Chief Technology Officers, and investors on the future of Cloud, with me is Dave Humphrey. Who's the Managing Director, and co-head of private equity in North America at Bain Capital. Dave, welcome to theCUBE first time, I think. >> First time, yeah, Dave, thanks very much for having me. >> So, let's get right into it, as an investor, how are you thinking about the evolution of cloud, when you look back at the last decade? It's not going to be the same, in this coming decade it's ironic 2020 is thrown us into, the accelerated digital transformation and cloud. How do you look at the evolution of cloud, from an investment perspective? What's your thesis? >> That's a great question, David for us we're focused on investing, in technology and really across the economy. And I'd say ,the cloud is the overarching trend, and dynamic in the technology markets. It really affect two reasons. One is a major shift ,of course that's going on. But the second and frankly even more interesting one, just as all the growth, that the cloud is creating, in the technology marketplace. The shift, think is been well covered, but five years ago in 2015, by our analysis, 2/3 of all computing workloads were done on premises. And only five years later, that's that's split. So, 2/3 of all computing workloads now done in the cloud and of course that shift, there's a lot of ramifications, as an investor. But even more interesting to us, is the growth in technology and the usage of technology, that the cloud is creating. So, over that same period of time, the total number of computing workloads run has increased, by 2.6 times, in just a five-year period of time which is really a dramatic thing and it makes sense when you think about, all the new software applications that could be created, all the data that can be used by new users and new segments, and the real-time insight that can be gleaned from there cause that growth, that really were focused on investing behind, as investors in technology. >> It's interesting you share those numbers, and you hear a lot of numbers. I actually think you're even being conservative. Ginni Rometty, used to talk about 80% of workloads, are still on-prem. Andy Jassy at re:Invent said that, 96% of the spending is still on premises. So, that was kind of an interesting stat. And I guess the other thing that I would note is it's not just a share shift, it is, it's not just, the cloud eating away on-prem. We've clearly seen that. But there's also incremental opportunity as well. If you look at Snowflake, for example adding value across multiple clouds and creating new markets. So there's that one-two punch, of stealing share from on-prem (clears throat). Also incremental growth, which is probably accelerated as a result, of this compressed digital transformation. So when you look at the big three Cloud players. I mean, roughly speaking, there probably account for $80 billion in total revenue. Which I guess, is a small portion of the overall IT market. So, it has a long way to go, but what's the best way to get good returns, from an investment standpoint, without getting clobbered, by their tendency to sometimes co-opt some of the best ideas and put them on their primary services. >> Yeah, absolutely, well, for us, it really comes back to the same fundamental principles, we look for in any investment. Which is finding, a business that solves, a really important problem for its customers, and does so in a way that's really advantage, versus competition and can do something, that other competitors just can't do. Whether those be the hyperscalers that you're describing, or other specialized and focused competitors. And then finding a way ,that we can partner with those companies to help them to accelerate their growth. So, surely the growth of the likes of AWS and Microsoft and Google, as you were describing has been a profound, competitive shift, along with the cloud shift, that we've all talked about. And those companies of course can offer, and do things that you asked, purveyors of computing couldn't. But, fundamentally they're selling an infrastructure layer, and there is room for all sorts of new competitors, and new applications that can do something better than anybody else can. So, any company that we're looking at, we're asking ourselves the question, why are they the best ones, to do what they're doing? How can they solve the most problems, for their customers and do that, in a way that's resilient? And we see lots of those opportunities. >> And I want to pick your brain, about the Nutanix investment, but before we get there. I wonder if you could just talk, about Bain Capital their history of investment in both cloud and infrastructure software and how do those investments, how would they perform and how do they inform your current thesis? >> Yeah, absolutely. So, Bain Capital was started in the mid 80s, 1984. Actually, as a spin out Bain Company Consulting. And the basic premise was that, if we're good at advising and supporting businesses. We should partner with them and invest behind them and if they do well, we'll do well. And as I said, focusing on these businesses but do something really valuable for their customers in a real advantage way with some discontinuous growth opportunity. That's led us to grow a lot. We started out actually in the venture business, and grew into the private equity business, but now we invest across all life stages of company all over the world. So we're $105 billion in assets that we manage, across 10 lines of business and we're truly global. So I think we have about 470 investment professionals and 210 of those, at this point are located outside the US. One of the really interesting things for us in investing in technology broadly and in infrastructure and the Cloud more specifically is that we're able to do that all over the world and we're able to do that across all the different life stages of a company. So we have a thrive in venture capital business, that really we've been in, since the origins of Bain Capital has invested across countless cloud and security and infrastructure businesses, taken successful companies public like SolarWinds sold companies to strategic and grown businesses in really thriving ways. We have a growth mid-market growth technology business, that we launched last year, called our Technology Opportunities Fund. They've made a really interesting, cloud-based investment in a company called the Cloud Gurus, Cloud Guru, excuse me. That trains, the next generation of IT professionals to be successful in the cloud. And then of course in our private equity business where I spend my time. We are highly focused on technologist sector. And the impacts of the cloud in that sector broadly, we have invested in many infrastructure businesses, scale businesses like, BMC Software and Rocket Software, security businesses like, Blue Coat Systems and Symantec. And of course, for those big businesses they've got both on premises solutions. They've got cloud solutions and often we're focused on helping them continue to grow and innovate and take their solutions to the cloud. And then, this taken us to our most recent investment in Nutanix that we're very excited about it. We think it's truly a growth business in a large market that has an opportunity to capitalize, on these trends we're talking about. >> I wonder if you could comment on some of the changes that have occurred, you guys have been in the private equity business, for a long time. And if you look at kind of the early days of private equity, it was all, EBITDA suck as much cash out of the company as possible and whatever's left over we'll figure out what to do with it. And it's, it seems like investors have realized, wow, we can actually, if we put a little investment in and do some engineering, and some go to market we can actually, get better multiples. And so you've got the kind of rule of 30, 35 and 40 where EBITDA plus growth is kind of the metric. How do you think about that and look at that evolution? >> Yeah, it's interesting because in many ways Bain Capital was started as the antithesis to what you're describing. >> Great. >> So we started again as, with a strategic lens and a focus on growth and a focus on, if we got the longterm and the lasting impact of our businesses right, that the returns would follow and you're right that the market has evolved in that way. I mean, I think some of the dynamics that we've seen, has been certainly growth of the private equity business. It's become a much larger piece of the capital markets than it was certainly 10 years ago and 20 years ago. Also with that growth comes the globalization of that business all over the world and the specialization. So you certainly see technology focused firms and technology focused funds in a way that you didn't see 10 years ago or certainly 20 years ago. Actually Bain Capital interestingly enough, we had a technology focused fund in 1989 called Bain Information Partners. So we've been focused on the sector for a very long time. But you certainly see a lot more technology investors, than you did in your 10 to 20 years ago. >> How are you thinking about valuations these days? I mean, it's good to be in tech, it's even better to be in the cloud, software, cloud, if you're looking at, some of the companies, especially the work from home pivot. But a lot of that appears to be, many people believe it's going to be permanent. How are you feeling about the both public market and private market valuations in that dynamic? >> Yeah, well, it's amazing, right? I don't think any of us in March when the COVID crisis was just emerging, would've anticipated that come November, the markets and certainly the technology markets, would be even more robust and stronger than they were say in January, February. But I think it's a testament to the resilience of the technology and just how intricate and intertwined technology has become with our daily lives. And how much companies depend on its use. And frankly, it's been, the COVID environment has been an accelerant, for many of the ways in which we depend on technology. So witness this interview, of course, through the cloud, and you're seeing the way that we operate our business day-to-day, the way companies are accessing their data and information it has only further, accelerated the need for technology, and the importance of that technology to how businesses operate. So I think you're seeing that, you're reflected in the market values out there, but for us we're focused on businesses, that still have that catalytic opportunity ahead that can, do more to compensate for the price of entry. >> Let's talk about ,this massive investment you guys made in Nutanix, $750 million. I guess it's a small piece of your 105 billion, but still massive investment. How did that opportunity come to you? What was your thinking behind that investment and what are you looking for in terms of the go-forward plan and growth plan for 2021 and really important beyond? >> Yeah, absolutely, we're thrilled to be partnered with and invested in Nutanix. We think is a terrific company and our most recent technology investment are private equity business. It really came about through a proactive efforts that we had in the spring. We've got a team focused on the technology sector, focused across infrastructure and applications and internet and digital media businesses and financial technology. And through those efforts, we were looking for businesses, that we felt had faced some dislocation in their market values, associated with the COVID environment that we're facing. But that we thought were really attractive businesses, well positioned have leading solutions, and had substantial and discontinuous growth opportunities. And as we look through that effort, we really felt that Nutanix stood out just as a core leader and in fact, really the innovator and the inventor of the market, in which it competes with a substantial market share and position, solving a really important problem for its customers, with a big growth opportunity ahead. But, the stock price had come down, because the business has been undergoing a transition. And we didn't think that was fully understood, by the market. And so, we saw an opportunity to partner with Nutanix, to invest money into the business, to help to fund its transition and its growth, and to be partners along for all the value of the business we'll continue to create, we think it's a terrific company and we're excited to be invested. >> Well, you and I have talked about this, that transition from a traditional license model, to one that's an annual recurring revenue model which many companies have gone through. Adobe certainly has done it, Tableau successfully did it. Splunk is kind of in the middle of that transition right now, and maybe not well understood. You've got companies like, Datadog and Snowflake again to doing consumption-based pricing. So there's a lot of confusion in the marketplace. And I wonder if you could talk about, that transition and why it was attractive to you, to actually place that bet now. >> Yeah, absolutely and as you say, number of companies at this point have been through, various forms of of this shift from selling their technology upfront to selling it over time. And we find that the model of selling the technology over time, is one that can be powerful. It can be aligning for customers, as well as for the vendor of the software solutions. And in Nutanix in particular, again, we saw all the ingredients that we think, make this an opportunity for the business. Again, market-leading technology that customers love that is solving a really important problem that technology because Nutanix had been grown, and bootstrapped under the leadership Dheeraj when it was built and founded. Had been selling its software together within appliance. Often in a upfront sale. And has been undergoing under their own initiative, transitioned from selling that software with an appliance to a software based model to one that's more rattle over time. And we thought that there was the opportunity to continue that transition and by doing that. To be able to offer more growth, and more innovation that we can bring to our customers to continue to fund their shifts. So, something that frankly was well underway before we invested. As the business makes this transition, from collecting upfront to more evenly over time. We saw a potential use for our capital, to help to fund that growth. And we're just focused on being a good partner, to help the company keep investing and innovating, as it continues to do that. >> As I was talking to somebody other day, Dave and I told him, I was interviewing you. And I was mentioning the Nutanix investment. And I said, I'm definitely going to cover that. As part of this Cube on Cloud program and they said, well, then Nutanix, that's not cloud. I'm like, well, wait a minute, what's cloud? So, we heard Andy Jassy at re:Invent, talking all lot about hybrid. Antonio Neri ,right after HPE, made its earning last earnings announcement. He came on and said that, well we heard the big cloud player talk about hybrid. And so the definition is changing. But so how are you looking at the market? Certainly, there's this hyper converged infrastructure, but there's also this software play, there's this cloud play. Help us squint through, how you see that. >> Absolutely, so, Nutanix as you alluded to pioneer the market for hyper converged infrastructure, for bringing compute and storage and networking together. Often in private Cloud environments, in a way that was really powerful for your customers and they can of course continue to be the leaders in that marketplace. But they've continued to innovate and invest in ways that can, solve problems for customers and related problems across the hybrid cloud. So, combining both the public cloud with that private cloud and across multiple public clouds, with things like clusters and lots of innovation, that the business is doing, in partnership with the likes of Amazon and Microsoft and others. And so we think that Nutanix has a powerful role to play, in that hybrid cloud world, in a multi-cloud world. And we're excited to back them in. >> Well, I think too, what maybe people don't understand, is that not only is Nutanix, compatible with AWS and compatible with Azure and GCP, but it's actually trying, to create an abstraction layer across those, those clouds. Now, there's two sides of that debate. Some will say, well, that has latency issues or yes it reduces complexity, but at the same time it doesn't give you, that fine-grained access that's kind of the AWS narrative customers, want simplicity and we're seeing the uptake across clouds. I have a multi-part question for you, Dave. So, obviously Bain very strong in strategy. I'm curious ,as to how much you get involved, in the operational details. I mean, obviously $750 million you've got a stake there. But what are the two or three major strategic considerations for not just even just Nutanix, but Cloud and software infrastructure companies? And how much focus do you put on the operational and what are the priorities there? >> Absolutely, well, we pride ourselves in being good partners to our businesses and in helping them to grow, not just with our capital, which I think is of course important, but also with our sweat equity and our human capital, and our partnership and we can do that in lots of ways. It's fundamentally about supporting our businesses, however, is needed to help them to grow. We've been investing in the technology sector, as I described over, over 30 years. And so, we've built up a set of capabilities around things like, helping to a partner with the Salesforce of a company is helping them to think about the ways in which they allocate their research and development and their innovation ways in which they, continue to do acquisitions, to further that pipeline. We support our businesses in lots of ways. But we're not engineers, we're not developers. Of course, we're looking for businesses that are fundamentally great. They've got great technology. They solve problems for customers in a way, we could never replicate. That's, what's all amazing about a business like Nutanix and just over a 10 year period of time, it literally has customer satisfaction levels, that we haven't seen from any other infrastructure software company that we've had the pleasure of diligencing over the last several years. So, what we're focused on, is how can we take those great products and offerings that Nutanix has, and continue to support them, through the further growth and expansion of areas like, the further Salesforce investment, to expand into these new areas like clusters, that we were talking about and thinking about, things that they can do, to further expand the strategic hold. And so, we have a large team of Bain Capital as I mentioned, 260 investment professionals, in our private equity business alone. About a third of those are just available to our companies to help support them, with various initiatives and efforts after we invest. And we'll certainly, of course make all of those available to Nutanix as well. >> Somebody was asking me the other day, what's hyper-converged infrastructure? How did that come about? And I was explaining, back in the day you had, you'd buy some servers and some storage, and you'd have a network. And you sort of have different teams. And you'd put applicant, you figure it out all out and put the applications on top, test it and make sure it all works and then the guys at VCE and VMware and Cisco and EMC, they got together and said, okay, we're going to bolt together a bunch of different components and pretest it here you go, here's a, here's a skew. And then, what Nutanix did was actually, really transformational and said, okay. Look, we can do this through software. And now that was what late 2000? Now, we're sort of entering this new era, this next generation of cloud, cross clouds. So, I wonder how you think about, based on what you were just talking about the whole notion of MA versus organic. There's a lot of organic development that needs to be done but perhaps you could buy in or inorganically through MA to actually get there faster. How do you think about that balance? >> Look I think that was an articulate by the way explanation of I think that the origins of a hyperconverged infrastructure, so I enjoyed that very much. But I think that with any of our businesses and with Nutanix we're of course looking at where are we trying to get to in several years and what are the best ways to support the business to get there? Of course, they'll primarily that will be through continuing organic investment in the company and all the innovation in the product, that they've been doing. Will the company contemplate acquisitions, to further achieve the development goals and the objectives for solving paying points for customers, to get to the strategic places they're trying to get to of course, but it all, is a part of the package of what's a good fit for the company and its growth objective. >> I mean, with the size of your portfolio, I mean, you're a full stack investor, I would say. Is there any part of the so-called tech stack that you won't touch that you would actually not walk, but run away from? (laughs) >> Well, I wouldn't say that we're running away from anything, but the questions that we're asking ourselves are, is the technology that we're investing endurable? Is it advantaged and does have a growing role in the world? And if we think that those things are true, we're absolutely, thrilled to invest behind those things. If there are things that we feel like, that's not the case. then we would tend to shy away from those investments. We've certainly found opportunities in businesses that people perceived as one, but we believe to be another. >> Well, so, let me ask you specifically about Nutanix. I mean, clearly they achieved escape velocity. One of the few companies actually, from last decade, it was Nutanix pure, not a whole lot of others that actually were able to maintain independence as a public company. What do you see as their durability? They're, moat if you will. >> Yeah, absolutely, well clearly we think that it's a very durable and very advantaged business. Yeah, thus the investment. Look, we think that Nutanix has been able to offer the best hyperconverged infrastructure product in the market bar none. One that is got the best ease of use is the most nimble and flexible for customers. And you just see that resulting customer feedback. And also that plays across very heterogeneous architectures in a way that it's really powerful. Because of that we think that they're best positioned to be able to leverage that technology as they have been, to continue to play across both public and private hybrid cloud environments. And so we're excited to back them in that journey. It really starts from solving an acute customer paying point, better than anybody else can. And we're looking to back them to continue to expand that vision. >> Yeah, well, I've talked to a lot of Nutanix customers, over the years and that is the fundamental value proposition it's really simple, very high, customer satisfaction. So, that makes a lot of sense. Well, Dave, thanks very much for coming on theCUBE and participating in theCUBE on Cloud. Really appreciate your perspectives, wish you best of luck. And hopefully we can do this again in the future. Maybe face to face >> Yeah, face to face maybe someday. Dave, I really appreciate it. It's been a pleasure and good luck with the rest of your interviews. >> All right, thank you. Well keep it right there, everybody for more Cube on Cloud. This is Dave Vellante, we'll be right back. (soft music)
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and co-head of private thanks very much for having me. the evolution of cloud, and dynamic in the technology markets. And I guess the other and new applications that about the Nutanix investment, and in infrastructure and the Cloud and some go to market we can to what you're describing. of that business all over the But a lot of that appears to be, and the importance of that technology How did that opportunity come to you? and the inventor of the and Snowflake again to doing of selling the technology And so the definition is changing. that the business is doing, in partnership in the operational details. and in helping them to grow, and put the applications on top, test it and the objectives for solving that you won't touch is the technology that One of the few companies One that is got the best ease of use and that is the fundamental and good luck with the everybody for more Cube on Cloud.
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Muddu Sudhakar | CUBE on Cloud
(gentle music) >> From the Cube Studios in Palo Alto and Boston, connecting with thought leaders all around the world. This is theCube Conversation. >> Hi everybody, this is Dave Vellante, we're back at Cube on Cloud, and with me is Muddu Sudhakar. He's a long time alum of theCube, a technologist and executive, a serial entrepreneur and an investor. Welcome my friend, good to see you. >> Good to see you, Dave. Pleasure to be with you. Happy elections, I guess. >> Yeah, yeah. So I wanted to start, this work from home, pivot's been amazing, and you've seen the enterprise collaboration explode. I wrote a piece a couple months ago, looking at valuations of various companies, right around the snowflake IPO, I want to ask you about that, but I was looking at the valuations of various companies, at Spotify, and Shopify, and of course Zoom was there. And I was looking at just simple revenue multiples, and I said, geez, Zoom actually looks, might look undervalued, which is crazy, right? And of course the stock went up after that, and you see teams, Microsoft Teams, and Microsoft doing a great job across the board, we've written about that, you're seeing Webex is exploding, I mean, what do you make of this whole enterprise collaboration play? >> No, I think the look there is a trend here, right? So I think this probably trend started before COVID, but COVID is going to probably accelerate this whole digital transformation, right? People are going to work remotely a lot more, not everybody's going to come back to the offices even after COVID, so I think this whole collaboration through Slack, and Zoom, and Microsoft Teams and Webex, it's going to be the new game now, right? Both the video, audio and chat solutions, that's really going to help people like eyeballs. You're not going to spend time on all four of them, right? It's like everyday from a consumer side, you're going to spend time on your Gmail, Facebook, maybe Twitter, maybe Instagram, so like in the consumer side, on your personal life, you have something on the enterprise. The eyeballs are going to be in these platforms. >> Yeah. Well. >> But we're not going to take everything. >> Well, So you are right, there's a permanence to this, and I got a lot of ground to cover with you. And I always like our conversations mood because you tell it like it is, I'm going to stay on that work from home pivot. You know a lot about security, but you've seen three big trends, like mega trends in security, Endpoint, Identity Access Management, and Cloud Security, you're seeing this in the stock prices of companies like CrowdStrike, Zscaler, Okta- >> Right >> Sailpoint- >> Right, I mean, they exploded, as a result of the pandemic, and I think I'm inferring from your comment that you see that as permanent, but that's a real challenge from a security standpoint. What's the impact of Cloud there? >> No, it isn't impact but look, first is all the services required to be Cloud, right? See, the whole ideas for it to collaborate and do these things. So you cannot be running an application, like you can't be running conference and SharePoint oN-Prem, and try to on a Zoom and MS teams. So that's why, if you look at Microsoft is very clever, they went with Office 365, SharePoint 365, now they have MS Teams, so I think that Cloud is going to drive all these workloads that you have been talking about a lot, right? You and John have been saying this for years now. The eruption of Cloud and SAS services are the vehicle to drive this next-generation collaboration. >> You know what's so cool? So Cloud obviously is the topic, I wonder how you look at the last 10 years of Cloud, and maybe we could project forward, I mean the big three Cloud vendors, they're running it like $20 billion a quarter, and they're growing collectively, 35, 40% clips, so we're really approaching a hundred billion dollars for these three. And you hear stats like only 20% of the workloads are in the public Cloud, so it feels like we're just getting started. How do you look at the impact of Cloud on the market, as you say, the last 10 years, and what do you expect going forward? >> No, I think it's very fascinating, right? So I remember when theCube, you guys are talking about 10 years back, now it's been what? More than 10 years, 15 years, since AWS came out with their first S3 service back in 2006. >> Right. >> Right? so I think look, Cloud is going to accelerate even more further. The areas is going to accelerate is for different reasons. I think now you're seeing the initial days, it's all about startups, initial workloads, Dev test and QA test, now you're talking about real production workloads are moving towards Cloud, right? Initially it was backup, we really didn't care for backup they really put there. Now you're going to have Cloud health primary services, your primary storage will be there, it's not going to be an EMC, It's not going to be a ETAP storage, right? So workloads are going to shift from the business applications, and this business App again, will be running on the Cloud, and I'll make another prediction, make customer service and support. Customer service and support, again, we should be running on the Cloud. You're not want to run the thing on a Dell server, or an IBM server, or an HP server, with your own hosted environment. That model is not because there's no economies of scale. So to your point, what will drive Cloud for the next 10 years, will be economies of scale. Where can you take the cost? How can I save money? If you don't move to the Cloud, you won't save money. So all those workloads are going to go to the Cloud are people who really want to save, like global gradual custom, right? If you stay on the ASP model, a hosted, you're not going to save your costs, your costs will constantly go up from a SAS perspective. >> So that doesn't bode well for all the On-prem guys, and you hear a lot of the vendors that don't own a Cloud that talk about repatriation, but the numbers don't support that. So what do those guys do? I mean, they're talking multi-Cloud, of course they're talking hybrid, that's IBM's big play, how do you see it? >> I think, look, see there, to me, multi-Cloud makes sense, right? You don't want one vendor that you never want to get, so having Amazon, Microsoft, Google, it gives them a multi-Cloud. Even hybrid Cloud does make sense, right? There'll be some workloads. It's like, we are still running On-prem environment, we still have mainframe, so it's never going to be a hundred percent, but I would say the majority, your question is, can we get to 60, 70, 80% workers in the next 10 years? I think you will. I think by 2025, more than 78% of the Cloud Migration by the next five years, 70% of workload for enterprise will be on the Cloud. The remaining 25, maybe Hybrid, maybe On-prem, but I get panics, really doesn't matter. You have saved and part of your business is running on the Cloud. That's your cost saving, that's where you'll see the economies of scale, and that's where all the growth will happen. >> So square the circle for me, because again, you hear the stat on the IDC stat, IBM Ginni Rometty puts it out there a lot that only 20% of the workloads are in the public Cloud, everything else is On-prem, but it's not a zero sum game, right? I mean the Cloud native stuff is growing like crazy, the On-prem stuff is flat to down, so what's going to happen? When you talk about 70% of the workloads will be in the Cloud, do you see those mission critical apps and moving into the car, I mean the insurance companies going to put their claims apps in the Cloud, or the financial services companies going to put their mission critical workloads in the Cloud, or they just going to develop new stuff that's Cloud native that is sort of interacts with the On-prem. How do you see that playing out? >> Yeah, no, I think absolutely, I think a very good question. So two things will happen. I think if you take an enterprise, right? Most businesses what they'll do is the workloads that they should not be running On-prem, they'll move it up. So obviously things like take, as I said, I use the word SharePoint, right? SharePoint and conference, all the knowledge stuff is still running on people's data centers. There's no reason. I understand, I've seen statistics that 70, 80% of the On-prem for SharePoint will move to SharePoint on the Cloud. So Microsoft is going to make tons of money on that, right? Same thing, databases, right? Whether it's CQL server, whether there is Oracle database, things that you are running as a database, as a Cloud, we move to the Cloud. Whether that is posted in Oracle Cloud, or you're running Oracle or Mongo DB, or Dynamo DB on AWS or SQL server Microsoft, that's going to happen. Then what you're talking about is really the App concept, the applications themselves, the App server. Is the App server is going to run On-prem, how much it's going to laureate outside? There may be a hybrid Cloud, like for example, Kafka. I may use a Purse running on a Kafka as a service, or I may be using Elasticsearch for my indexing on AWS or Google Cloud, but I may be running my App locally. So there'll be some hybrid place, but what I would say is for every application, 75% of your Comprende will be on the Cloud. So think of it like the Dev. So even for the On-prem app, you're not going to be a 100 percent On-prem. The competent, the billing materials will move to the Cloud, your Purse, your storage, because if you put it On-prem, you need to add all this, you need to have all the whole things to buy it and hire the people, so that's what is going to happen. So from a competent perspective, 70% of your bill of materials will move to the Cloud, even for an On-prem application. >> So, Of course, the susification of the industry in the last decade and in my three favorite companies last decade, you've worked for two of them, Tableau, ServiceNow, and Splunk. I want to ask you about those, but I'm interested in the potential disruption there. I mean, you've got these SAS companies, Salesforce of course is another one, but they can't get started in 1999. What do you see happening with those? I mean, we're basically building these sort of large SAS, platforms, now. Do you think that the Cloud native world that developers can come at this from an angle where they can disrupt those companies, or are they too entrenched? I mean, look at service now, I mean, I don't know, $80 billion market capital where they are, they bigger than Workday, I mean, just amazing how much they've grown and you feel like, okay, nothing can stop them, but there's always disruption in this industry, what are your thoughts on that. >> Not very good with, I think there'll be disrupted. So to me actually to your point, ServiceNow is now close to a 100 billion now, 95 billion market coverage, crazy. So from evaluation perspective, so I think the reason they'll be disrupted is that the SAS vendors that you talked about, ServiceNow, and all this plan, most of these services, they're truly not a multi-tenant or what do you call the Cloud Native. And that is the Accenture. So because of that, they will not be able to pass the savings back to the enterprises. So the cost economics, the economics that the Cloud provides because of the multi tenancy ability will not. The second reason there'll be disrupted is AI. So far, we talked about Cloud, but AI is the core. So it's not really Cloud Native, Dave, I look at the AI in a two-piece. AI is going to change, see all the SAS vendors were created 20 years back, if you remember, was an operator typing it, I don't respond administered we'll type a Splunk query. I don't need a human to type a query anymore, system will actually find it, that's what the whole security game has changed, right? So what's going to happen is if you believe in that, that AI, your score will disrupt all the SAS vendors, so one angle SAS is going to have is a Cloud. That's where you make the Cloud will take up because a SAS application will be Cloudified. Being SAS is not Cloud, right? Second thing is SAS will be also, I call it, will be AI-fied. So AI and machine learning will be trying to drive at the core so that I don't need that many licenses. I don't need that many humans. I don't need that many administrators to manage, I call them the tuners. Once you get a driverless car, you don't need a thousand tuners to tune your Tesla, or Google Waymo car. So the same philosophy will happen is your Dev Apps, your administrators, your service management, people that you need for service now, and these products, Zendesk with AI, will tremendously will disrupt. >> So you're saying, okay, so yeah, I was going to ask you, won't the SAS vendors, won't they be able to just put, inject AI into their platforms, and I guess I'm inferring saying, yeah, but a lot of the problems that they're solving, are going to go away because of AI, is that right? And automation and RPA and things of that nature, is that right? >> Yes and no. So I'll tell you what, sorry, you have asked a very good question, let's answer, let me rephrase that question. What you're saying is, "Why can't the existing SAS vendors do the AI?" >> Yes, right. >> Right, >> And there's a reason they can't do it is their pricing model is by number of seats. So I'm not going to come to Dave, and say, come on, come pay me less money. It's the same reason why a board and general lover build an electric car. They're selling 10 million gasoline cars. There's no incentive for me, I'm not going to do any AI, I'm going to put, I'm not going to come to you and say, hey, buy me a hundred less license next year from it. So that is one reason why AI, even though these guys do any AI, it's going to be just so I call it, they're going to, what do you call it, a whitewash, kind of like you put some paint brush on it, trying to show you some AI you did from a marketing dynamics. But at the core, if you really implement the AI with you take the driver out, how are you going to change the pricing model? And being a public company, you got to take a hit on the pricing model and the price, and it's going to have a stocking part. So that, to your earlier question, will somebody disrupt them? The person who is going to disrupt them, will disrupt them on the pricing model. >> Right. So I want to ask you about that, because we saw a Snowflake, and it's IPO, we were able to pour through its S-1, and they have a different pricing model. It's a true Cloud consumption model, Whereas of course, most SAS companies, they're going to lock you in for at least one year term, maybe more, and then, you buy the license, you got to pay X. If you, don't use it, you still got to pay for it. Snowflake's different, actually they have a different problem, that people are using it too much and the sea is driving the CFO crazy because the bill is going up and up and up, but to me, that's the right model, It's just like the Amazon model, if you can justify it, so how do you see the pricing, that consumption model is actually, you're seeing some of the On-prem guys at HPE, Dell, they're doing as a service. They're kind of taking a page out of the last decade SAS model, so I think pricing is a real tricky one, isn't it? >> No, you nailed it, you nailed it. So I think the way in which the Snowflake there, how the disruptors are data warehouse, that disrupted the open source vendors too. Snowflake distributed, imagine the playbook, you disrupted something as the $ 0, right? It's an open source with Cloudera, Hortonworks, Mapper, that whole big data that you want me to, or that market is this, that disrupting data warehouses like Netezza, Teradata, and the charging more money, they're making more money and disrupting at $0, because the pricing models by consumption that you talked about. CMT is going to happen in the service now, Zen Desk, well, 'cause their pricing one is by number of seats. People are going to say, "How are my users are going to ask?" right? If you're an employee help desk, you're back to your original health collaborative. I may be on Slack, I could be on zoom, I'll maybe on MS Teams, I'm going to ask by using usage model on Slack, tools by employees to service now is the pricing model that people want to pay for. The more my employees use it, the more value I get. But I don't want to pay by number of seats, so the vendor, who's going to figure that out, and that's where I look, if you know me, I'm right over as I started, that's what I've tried to push that model look, I love that because that's the core of how you want to change the new game. >> I agree. I say, kill me with that problem, I mean, some people are trying to make it a criticism, but you hit on the point. If you pay more, it's only because you're getting more value out of it. So I wanted to flip the switch here a little bit and take a customer angle. Something that you've been on all sides. And I want to talk a little bit about strategies, you've been a strategist, I guess, once a strategist, always a strategist. How should organizations be thinking about their approach to Cloud, it's cost different for different industries, but, back when the cube started, financial services Cloud was a four-letter word. But of course the age of company is going to matter, but what's the framework for figuring out your Cloud strategy to get to your 70% and really take advantage of the economics? Should I be Mono Cloud, Multi-Cloud, Multi-vendor, what would you advise? >> Yeah, no, I mean, I mean, I actually call it the tech stack. Actually you and John taught me that what was the tech stack, like the lamp stack, I think there is a new Cloud stack needs to come, and that I think the bottomline there should be... First of all, anything with storage should be in the Cloud. I mean, if you want to start, whether you are, financial, doesn't matter, there's no way. I come from cybersecurity side, I've seen it. Your attackers will be more with insiders than being on the Cloud, so storage has to be in the Cloud and encompass compute whoever it is. If you really want to use containers and Kubernetes, it has to be in the public Cloud, leverage that have the computer on their databases. That's where it can be like if your data is so strong, maybe run it On-prem, maybe have it on a hosted model for when it comes to database, but there you have a choice between hybrid Cloud and public Cloud choice. Then on top when it comes to App, the app itself, you can run locally or anywhere, the App and database. Now the areas that you really want to go after to migrate is look at anything that's an enterprise workload that you don't need people to manage it. You want your own team to move up in the career. You don't want thousand people looking at... you don't want to have a, for example, IT administrators to call central people to the people to manage your compute storage. That workload should be more, right? You already saw Sierra moved out to Salesforce. We saw collaboration already moved out. Zoom is not running locally. You already saw SharePoint with knowledge management mode up, right? With a box, drawbacks, you name anything. The next global mode is a SAS workloads, right? I think Workday service running there, but work data will go into the Cloud. I bet at some point Zendesk, ServiceNow, then either they put it on the public Cloud, or they have to create a product and public Cloud. To your point, these public Cloud vendors are at $2 trillion market cap. They're they're bigger than the... I call them nation States. >> Yeah, >> So I'm servicing though. I mean, there's a 2 trillion market gap between Amazon and Azure, I'm not going to compete with them. So I want to take this workload to run it there. So all these vendors, if you see that's where Shandra from Adobe is pushing this right, Adobe, Workday, Anaplan, all the SAS vendors we'll move them into the public Cloud within these vendors. So those workloads need to move out, right? So that all those things will start, then you'll start migrating, but I call your procurement. That's where the RPA comes in. The other thing that we didn't talk about, back to your first question, what is the next 10 years of Cloud will be RPA? That third piece to Cloud is RPA because if you have your systems On-prem, I can't automate them. I have to do a VPN into your house there and then try to automate your systems, or your procurement, et cetera. So all these RPA vendors are still running On-prem, most of them, whether it's UI path automation anywhere. So the Cloud should be where the brain should be. That's what I call them like the octopus analogy, the brain is in the Cloud, the tentacles are everywhere, they should manage it. But if my tentacles have to do a VPN with your house to manage it, I'm always will have failures. So if you look at the why RPA did not have the growth, like the Snowflake, like the Cloud, because they are running it On-prem, most of them still. 80% of the RP revenue is On-prem, running On-prem, that needs to be called clarified. So AI, RPA and the SAS, are the three reasons Cloud will take off. >> Awesome. Thank you for that. Now I want to flip the switch again. You're an investor or a multi-tool player here, but so if you're, let's say you're an ecosystem player, and you're kind of looking at the landscape as you're in an investor, of course you've invested in the Cloud, because the Cloud is where it's at, but you got to be careful as an ecosystem player to pick a spot that both provides growth, but allows you to have a moat as, I mean, that's why I'm really curious to see how Snowflake's going to compete because they're competing with AWS, Microsoft, and Google, unlike, Frank, when he was at service now, he was competing with BMC and with on-prem and he crushed it, but the competitors are much more capable here, but it seems like they've got, maybe they've got a moat with MultiCloud, and that whole data sharing thing, we'll see. But, what about that? Where are the opportunities? Where's that white space? And I know there's a lot of white space, but what's the framework to look at, from an investor standpoint, or even a CEO standpoint, where you want to put place your bets. >> No, very good question, so look, I did something. We talk as an investor in the board with many companies, right? So one thing that says as an investor, if you come back and say, I want to create a next generation Docker or a computer, there's no way nobody's going to invest. So that we can motor off, even if you want to do object storage or a block storage, I mean, I've been an investor board member of so many storage companies, there's no way as an industry, I'll write a check for a compute or storage, right? If you want to create a next generation network, like either NetSuite, or restart Juniper, Cisco, there is no way. But if you come back and say, I want to create a next generation Viper for remote working environments, where AI is at the core, I'm interested in that, right? So if you look at how the packets are dropped, there's no intelligence in either not switching today. The packets come, I do it. The intelligence is not built into the network with AI level. So if somebody comes with an AI, what good is all this NVD, our GPS, et cetera, if you cannot do wire speed, packet inspection, looking at the content and then route the traffic. If I see if it's a video package, but in UN Boston, there's high interview day of they should be loading our package faster, because you are a premium ISP. That intelligence has not gone there. So you will see, and that will be a bad people will happen in the network, switching, et cetera, right? So that is still an angle. But if you work and it comes to platform services, remember when I was at Pivotal and VMware, all models was my boss, that would, yes, as a platform, service is a game already won by the Cloud guys. >> Right. (indistinct) >> Silicon Valley Investors, I don't think you want to invest in past services, right? I mean, you might come with some lecture edition database to do some updates, there could be some game, let's say we want to do a time series database, or some metrics database, there's always some small angle, but the opportunity to go create a national database there it's very few. So I'm kind of eliminating all the black spaces, right? >> Yeah. >> We have the white spaces that comes in is the SAS level. Now to your point, if I'm Amazon, I'm going to compete with Snowflake, I have Redshift. So this is where at some point, these Cloud platforms, I call them aircraft carriers. They're not going to stay on the aircraft carriers, they're going to own the land as well. So they're going to move up to the SAS space. The question is you want to create a SAS service like CRM. They are not going to create a CRM like service, they may not create a sales force and service now, but if you're going to add a data warehouse, I can very well see Azure, Google, and AWS, going to create something to compute a Snowflake. Why would I not? It's so close to my database and data warehouse, I already have Redshift. So that's going to be nightlights, same reason, If you look at Netflix, you have a Netflix and you have Amazon prime. Netflix runs on Amazon, but you have Amazon prime. So you have the same model, you have Snowflake, and you'll have Redshift. The both will help each other, there'll be a... What do you call it? Coexistence will happen. But if you really want to invest, you want to invest in SAS companies. You do not want to be investing in a compliment players. You don't want to a feature. >> Yeah, that's great, I appreciate that perspective. And I wonder, so obviously Microsoft play in SAS, Google's got G suite. And I wonder if people often ask the Andy Jassy, you're going to move up the stack, you got to be an application, a SAS vendor, and you never say never with Atavist, But I wonder, and we were talking to Jerry Chen about this, years ago on theCube, and his angle was that Amazon will play, but they'll play through developers. They'll enable developers, and they'll participate, they'll take their, lick off the cone. So it's going to be interesting to see how directly Amazon plays, but at some point you got Tam expansion, you got to play in that space. >> Yeah, I'll give you an example of knowing, I got acquired by a couple of times by EMC. So I learned a lot from Joe Tucci and Paul Merage over the years. see Paul and Joe, what they did is to look at how 20 years, and they are very close to Boston in your area, Joe, what games did is they used to sell storage, but you know what he did, he went and bought the Apps to drive them. He bought like Legato, he bought Documentum, he bought Captiva, if you remember how he acquired all these companies as a services, he bought VMware to drive that. So I think the good angle that Microsoft has is, I'm a SAS player, I have dynamics, I have CRM, I have SharePoint, I have Collaboration, I have Office 365, MS Teams for users, and then I have the platform as Azure. So I think if I'm Amazon, (indistinct). I got to own the apps so that I can drive this workforce on my platform. >> Interesting. >> Just going to developers, like I know Jerry Chan, he was my peer a BMF. I don't think just literally to developers and that model works in open source, but the open source game is pretty much gone, and not too many companies made money. >> Well, >> Most companies pretty much gone. >> Yeah, he's right. Red hats not bad idea. But it's very interesting what you're saying there. And so, hey, its why Oracle wants to have Tiktok, running on their platform, right? I mean, it's going to. (laughing) It's going to drive that further integration. I wanted to ask you something, you were talking about, you wouldn't invest in storage or compute, but I wonder, and you mentioned some commentary about GPU's. Of course the videos has been going crazy, but they're now saying, okay, how do we expand our Team, they make the acquisition of arm, et cetera. What about this DPU thing, if you follow that, that data processing unit where they're like hyper dis-aggregation and then they reaggregate, and as an offload and really to drive data centric workloads. Have you looked at that at all? >> I did, I think, and that's a good angle. So I think, look, it's like, it goes through it. I don't know if you remember in your career, we have seen it. I used to get Silicon graphics. I saw the first graphic GPU, right? That time GPU was more graphic processor unit, >> Right, yeah, work stations. >> So then become NPUs at work processing units, right? There was a TCP/IP office offloading, if you remember right, there was like vector processing unit. So I think every once in a while the industry, recreated this separate unit, as a co-processor to the main CPU, because main CPU's inefficient, and it makes sense. And then Google created TPU's and then we have the new world of the media GPU's, now we have DPS all these are good, but what's happening is, all these are driving for machine learning, AI for the training period there. Training period Sometimes it's so long with the workloads, if you can cut down, it makes sense. >> Yeah. >> Because, but the question is, these aren't so specialized in nature. I can't use it for everything. >> Yup. >> I want Ideally, algorithms to be paralyzed, I want the training to be paralyzed, I want so having deep use and GPS are important, I think where I want to see them as more, the algorithm, there should be more investment from the NVIDIA's and these guys, taking the algorithm to be highly paralyzed them. (indistinct) And I think that still has not happened in industry yet. >> All right, so we're pretty much out of time, but what are you doing these days? Where are you spending your time, are you still in Stealth, give us a little glimpse. >> Yeah, no, I'm out of the Stealth, I'm actually the CEO of Aisera now, Aisera, obviously I invested with them, but I'm the CEO of Aisero. It's funded by Menlo ventures, Norwest, True, along with Khosla ventures and Ram Shriram is a big investor. Robin's on the board of Google, so these guys, look, we are going out to the collaboration game. How do you automate customer service and support for employees and then users, right? In this whole game, we talked about the Zoom, Slack and MS Teams, that's what I'm spending time, I want to create next generation service now. >> Fantastic. Muddu, I always love having you on you, pull punches, you tell it like it is, that you're a great visionary technologist. Thanks so much for coming on theCube, and participating in our program. >> Dave, it's always a pleasure speaking to you sir. Thank you. >> Okay. Keep it right there, there's more coming from Cuba and Cloud right after this break. (slow music)
SUMMARY :
From the Cube Studios Welcome my friend, good to see you. Pleasure to be with you. I want to ask you about that, but COVID is going to probably accelerate Yeah. because you tell it like it is, that you see that as permanent, So that's why, if you look and what do you expect going forward? you guys are talking about 10 years back, So to your point, what will drive Cloud and you hear a lot of the I think you will. the On-prem stuff is flat to Is the App server is going to run On-prem, I want to ask you about those, So the same philosophy will So I'll tell you what, sorry, I'm not going to come to you and say, hey, the license, you got to pay X. I love that because that's the core But of course the age of Now the areas that you So AI, RPA and the SAS, where you want to put place your bets. So if you look at how Right. but the opportunity to go So you have the same So it's going to be interesting to see the Apps to drive them. I don't think just literally to developers I wanted to ask you something, I don't know if you AI for the training period there. Because, but the question is, taking the algorithm to but what are you doing these days? but I'm the CEO of Aisero. Muddu, I always love having you on you, pleasure speaking to you sir. right after this break.
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Hillery Hunter, IBM | IBM Cloud for Financial Services Event
>> Announcer: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. >> Hi everybody, this is Dave Vellante, and back in 2013, when it was becoming pretty obvious that the cloud was going to have a major impact on our industry, the IT industry, I wrote at the time that the way incumbents were going to have to compete was to really go into vertical markets and build ecosystems for their own clouds, and that's exactly what IBM did late last year, when it announced a major partnership with Bank of America in the financial services cloud, and guess what, Hillery Hunter is back in the house, she's the vice president and CTO of the IBM cloud, and an IBM fellow, Hillery, great to see you again, thanks for coming back on. >> Thanks so much for having me again, always a pleasure to be here. >> So we had an awesome conversation, I think we got into the FS cloud a little bit, but as I was saying, you guys announced last year, Bank of America, but let me start here. Why does the industry need a financial services cloud? >> Yeah, you know, it's key that we ground ourselves in that question of why a financial services cloud, and I think it really goes back to the sensitivity of the workloads and the data that that industry stewards. The financial services industry stewards the data of millions and millions of customers, and they are heavily regulated because of that, and they handle very high value transactions, and being able to take that context and translate that into what does it mean to do high value transactions, sensitive data, consumer data computing, also with all those benefits of elasticity and the value proposition of different deployment locations, is really what financial cloud is about. And those needs of that industry are a little bit different, the regulations are higher, the bar and data protection is higher, and the need to interlock across workload characteristics and the cloud deployment is a bit different. And so, we are bringing what we know about that industry to bear in the context also of cloud computing. >> Okay, so you're making some new announcements, there's some hard news here, but I want to know, if you're an executive, or business leader in the financial services industry, what's in it for me in these announcements? >> Yeah, what's in it for you is that we are moving into the next phase of financial services cloud in making the policy framework that has been developed through an enormous amount of work available to additional industry participants, and we're also moving into a phase of global expansion, and so being able to take this value proposition of an end to end considered secure and confine environment for financial services, out to more players in the industry, out to additional geographies and deployment locations, it's an exciting moment because everyone's really not looking just for a cloud, but they're looking for a choice of deployment locations, they're looking to move more workload to the cloud, and this is really about providing a cloud solution that more workload can move to, not just the first couple phases of analytics and things like that, but also moving into more transformation of the core of banking and the core of banking business, so it is about getting more workload to the cloud, getting that done faster, and getting it done at a net improved security and compliance posture. >> Got it, so I want to ask you about some learnings, now you're the double whammy of learnings here. When you announced the collaboration with B of A, obviously one of the top banks of the world, you've obviously made some progress since then, but the other part of that whammy was COVID. So what did you learn from the collaboration with B of A, and have you guys, how have you expanded your thinking BC, from before COVID, versus AC, after COVID? >> Yeah, you know, the initial motivation for this program was about having trust and transparency in public cloud, and having a public cloud suited also to sensitive and even core banking workloads. We have seen this conversation and the need for it and the urgency for it only pick up since COVID. A lot of things in the world kind of took a pause, but cloud computing really accelerated. We're seeing that businesses need to digitally transform their banking, so core banking transformation is a very hot topic. They need to deal with elasticity, we worked with banks during COVID that were having to suddenly stand up their national equivalent of the Payroll Protection Program. Banks that had to suddenly have three times the elasticity, because all of a sudden consumers were interacting with them purely digitally. And cloud can enable all of those kind of things, and so COVID has really accelerated the motivation toward banking in the cloud, and also toward core banking transformation, which is at the heart of setting a very high security bar in public cloud, to be able to also enable those kind of workloads. >> Yeah, so many changes as a result of COVID, I mean the volume of loans, like you said, everything was digital. I know a lot of older people that always still like to go into the bank, that like to see people, and they knew people and people knew them, well they had no choice but to go digital, so that's huge, if you didn't have a digital solution, and cloud is fundamental in that equation. But let's get into it a little bit more. We talked a little about this at IBM Think, but what are the key attributes that make the IBM financial services cloud suitable for financial services, is it the certifications, I wonder if you could add some color there. >> Yeah, so the key elements of the financial services cloud program are number one, a policy framework, which is a set of controls that are customized to the financial services industry, so this isn't about some existing standard, this is a customization of controls and security for the financial services industry, and that's a major element of what we're announcing right now. In addition to the policy framework is also the way that the different elements of the industry and of regulatory expertise are coming together, so this cloud, and these public cloud offerings, were co-developed and co-designed with IBM Promontory, with IBM Security Services that work with banks, with our anchor partner, and moving forward, we'll be advised by an advisory council of CSOs who have that day to day experience with security and with regulations. And so that is also a very unique context for not this being just a point in time with a policy framework, but being an ongoing initiative that will stay up to date, as security concerns and as regulatory concerns change. And the third aspect is a really unique set of technologies that make all of that possible, so you have to define how the cloud is going to be secure, and then you have to actually do it, and the unique capabilities that we have in IBM public cloud that have enabled this program include a number of things, but amongst them, the industry's highest standard for data protection, with our FIPS-140-2 Level 4 based key protect service, it includes capabilities that we'll be releasing through our acquisition of Spanugo around cloud security and compliance posture management, mapped back to that context of financial services. And so it's really three things, it's a policy framework custom and optimized for the financial services industry, the forward evolution of that through industry expertise, and participation of multi parties in that, and then core technologies that enable folks to accomplish that security posture through data protection, through cloud security posture management, et cetera. >> I forgot about the Promontory, you guys made that acquisition several years ago, that's a nice little feature of the FS cloud. But I want to ask, how hard is it to get these certifications? I mean it's obviously not a layup. Lot of work, lot of time, my reason of my question, is this a moat for you, as you guys start to scale? How difficult is it? >> Yeah, so we have been putting in the time and effort, and so that's why this is an exciting moment for us with the initial work product of this effort. And so our intention really is not for that to be a moat, but for us having traversed the moat, to now have a bridge there through the methodology that we built, through the control framework that we built, for others to now get across that moat. And so this is really about taking what is an extensive amount of work, and an extensive amount of expertise, IBM Promontory, you just mentioned, but they monitor over 70 regulatory obligations in over 20 jurisdictions globally, right? I mean this is a tremendous depth of expertise, and so having crossed the moat, and having built the bridge across it, this is where we can then help others to save time in this process of adopting public cloud for further workloads. >> You've mentioned workloads, you've talked about core financial workloads, but maybe give us a little insight on what type of workloads are the most suitable for the financial services cloud, because let's face it, most of the hardcore mission-critical workloads haven't moved, actually probably none of 'em have moved to the cloud, you kind of referenced that before. Ginni Rometty talks about that all the time. But what are the right workload strategic fits for your cloud? >> Yeah, you know you mentioned Ginni Rometty, and so I'll take a quick note there from some of the language that you'll hear her use, she talks about, there was chapter one of the cloud journey, and stuff that was on less sensitive data, analytics, some things on public information, were certainly done, also in finance and also in regulated industries in the cloud. And she talks about chapter two, chapter two being mission-critical workloads. And this program really is the definition of chapter two for the financial services industry. It is the enabling expertise, the enabling control set, the enabling security technologies, the enabling cloud services, for that chapter two, right, for that next layer of adoption of things that had been kept behind the firewall, had been kept in a private cloud context, can now be considered also for public cloud. And so easing that adoption, streamlining that process, et cetera, is really what we're looking to accomplish. >> I mean obviously IBM, huge presence in the banking community, is this really for just big banks? What about the ecosystem, what do you got in there for ISVs and SaaS providers? >> Yeah, you know, you asked me a question at the beginning here about COVID and what's happened, and I think, the transformation of ISV providers to become SaaS providers, the expansion of their capabilities being needed in payments and digital client experiences and such, also for regionals and second and third tier banking institutions and such, is as much of what is happening right now as anything else, amongst the first tiers, because there's just as much pressure for transformation and digital consumer experience, and other things like that, also in the regionals and second and third tiers. So part of our announcement is around the ecosystem of partners that we have now for the financial services cloud program. And that includes ISVs and SaaS providers that are servicing many different types of needs of institutions large and small, so we're seeing those that are servicing core banking, and payments, those that are servicing analytics use cases for this industry, and even HR function, just because of that concern about stewarding data well for these industries and those first tier banks, and so that transition to digital, that drive to infuse AI capabilities, the need to transform core banking, is something that's very much also happening within the ISV and SaaS providers, and we're thrilled with the wide variety of partner base that we're seeing develop there within our ecosystem for this program. >> I was talking to a CIO friend of mine several years ago, and he said to me, "You know, this idea of lifting and shifting, "it's fine, you get little cost savings, maybe, "but unless you change your operating model "and you drive an innovation agenda, "you really aren't going to get the type "of telephone number returns from cloud "that you would want or expect." So my question is around innovation, and we've said many times in theCUBE that the new innovation cocktail, it's not Moore's law anymore, it's the combination of data applying machine intelligence and then the cloud, and the reason why the cloud is important is scale, okay, there's maybe a little bit of cost as well, but it's also innovation. It's the ability to attract people into an ecosystem, and that resonates with line of business. If your cloud is just about making IT's life better, well that's nice, but what's in this announcement and in this initiative for the line of business? >> Yeah, it is all about the workloads. I always say that to me the cloud journey is about, number one your platform, which is the thing onto which you modernize. It is what are you going to get out of moving to containers, what are you going to get out of moving to microservices, how does that help all of those cloud metrics that you mentioned? But number two, it's about the workload, right, which workloads are we talking about, how will they deliver, how will those workloads be able to because of cloud deliver not just TCO but improvement in customer experience, how will those workloads be able to meet elasticity, resiliency, cybersecurity concerns, changes in the way the workforce is working these days, et cetera. And from the line of business perspective, there is a tremendous need to consume, for example, fintech-based innovation. But a lot of folks have struggled to move past POCs because of concerns about security and compliance, for those deployment scenarios, and so being able to bring the ISVs and SaaS providers, and then also fintechs into an ecosystem with a prescriptive and proactive security and compliance context is really what we're all about here. And that will enable a flourishing of adoption of innovation. >> You know, I always love to talk about the competition on these episodes. But I want to ask differentiation, how different is this, can I just go to any cloud supplier and get this, will I eventually be able to, what's IBM's differentiation, Hillery? >> Yeah, so you want to think of it that, in financial services, you are concerned, and you have to be concerned about everything. You have to be concerned about things into the details of the cloud itself, you have to be concerned about things that are related to the behavior and the permissions of your developers in that environment. Financial services cloud really has to be an end to end, soup to nuts conversation, and so this is a program of our public cloud, where end to end, we can stand behind and provide trust and resiliency and this policy framework, end to end within an environment that can be trusted for mission-critical workload. And so when we look at differentiation, our investments are in bringing together IBM's expertise all the way going back to regulations and security consulting that we've been doing for decades in this industry, applying that to that cloud context, taking capabilities that are developed all the way down into the transistors, investments we've made even into the silicon around how cryptography is done, bringing that into the cloud context. And so having brought those things together into our public cloud context, that's how we're able to solution this in a different way, because it really is end to end about the expertise, from all of that regulatory advising, that security context, all the way down into the silicon and the transistors, and I think that's a very unique value proposition, as a cloud provider, it's a tremendous opportunity for us to bring together those pieces. And to continue to be a trusted partner to these companies that we have long been a trusted partner of. >> Now of course you guys have a relationship with VMware, you were the first, actually, to announce a VMware cloud relationship. And so let's say, okay, I got some VMware workloads, I move 'em into your FS cloud. Make sure that I've got the security and compliance checked. Six months down the road, so I've done that sort of first step, what's next for me, is that the end, or are there other things on my journey? >> Yeah, so absolutely, I mean VMware is part of what we are solution financial services clients to, but also cloud-native, and OpenShift, containerization, that modernization journey, is an ongoing journey for everyone, and so to your point of what's next, we're seeing a continual conversation of balancing lift and shift and modernization across workloads, and there are different reasons at different points in time, for people to consider that. I think the key is that they trust where they are taking that data, and whatever the form is that the workload goes, it needs to be in the context of that trust around the data in a security context, and so we're absolutely seeing everything, honestly, from financial services institutions looking to engage with us, also in our new research innovation lab, where we're engaging directly with financial services clients that are trying to work through this differentiation, is it virtualization, is it containerization, is it even serverless? What is the right and most effective balance of how workloads are programmed and run for the next generation of banking. >> You know, Hillery, I've been doing a lot of interviews in the last decade, and it's been interesting to see the ascendancy of cloud, of course, but also the change in perception, particularly in financial services, in the early days of cloud, cloud was an evil word. The C that should not be named. And so I want to understand if I'm, and of course COVID has also changed the perception, because if you weren't digital and you didn't have cloud, you couldn't really transact businesses as well, you didn't have that business resiliency. So, what if I'm a financial services person now, okay, I'm through the knothole, I want to get started, where do I start? >> Yeah, well call us first, but past that, I think that the conversations, the first conversations that we're having with our clients are, number one, do you have an architecture? So is cloud not just a place, like I like to say, but is cloud a plan, is there an architectural plan to enable you to have consistency, for example, in your developer experience between your private cloud environment and your public cloud environment? Architecturally are there those foundational choices around common services about being able to deploy capabilities in one location, and develop them in another, et cetera. All those value propositions of what we have been creating around OpenShift and Cloud Paks in our public cloud, and consistency across different environments and such, I think that's the first thing to start with is architecting a cloud, not accidental usage of multiple environments, but architecting use of multiple environments. And then I think the second conversation is to make a security and compliance plan that is going to be robust enough to withstand even the intense scrutiny of a regulated industry CCO and risk team, and so that's the other foundational conversation that we're having with our clients, and helping them with, so we can provide services and reference architectures, and all that other kind of thing, to enable them to stabilize planning on both fronts, both architecturally for what cloud means in its entirety, not just a cloud, but in its entirety, all clouds, multicloud, hybrid cloud, et cetera. And then secondly, then, a comprehensive security plan for that public cloud choice, and that's what we're really locking down with this policy framework, is bringing standardization on that for public cloud. >> Well, lot of innovation for the financial services community, which is again your wheelhouse. I wrote a piece right around Think that IBM's future rests on its innovation agenda, and I'm glad you brought up the notion of private, public, and then the whole hybrid thing, because I see OpenShift as a key, and RedHat as a key enabler of that across whether it's cloud, on-prem, edge, across multiple clouds. That's an ambitious agenda, as somebody who's responsible for cloud. That is something that is real innovation, and really differentiable I think, in the marketplace, and probably pretty expensive to build out across all those different platforms. >> Yeah, it is, but I think on the word innovation, my mind, as an IBMer, goes to the IBM research division. Thousands of researchers globally, and they've very much been a part of this journey with us. The journey with us on containerization, the journey on workload modernization from monolith to microservices, the journey of our public cloud, and now also very much a part of our work in financial services, so our research division is this incredible gift and asset that we have, that is working with us also on our cloud security and compliance posture management, that security and compliance control center that we're talking about in this announcement, et cetera, and so them being a part of this innovation stream for us is a really exciting part, again, of bringing together all these different pieces that IBM has to offer in this space to make it all stack up, to be a cloud for financial services. >> I got a couple of little housekeeping items before we close here. This is announced for the US first, right? What about other regions, first of all, is that correct, and what about other regions? >> That's correct, and we are also announcing additional participation of global banking partners as well in this announcement. And so this is also again our initial public statement of our expansion past the US. >> Last question, so just give us a glimpse of the future, where do you want to be in a few years, thinking about let's say three years down the road, what's that outcome look like? >> Yeah, you know I think that three years from now, we would love to see that people are able to make a decision, going back to your question about the line of business owners, make a decision about what they're trying to accomplish with a workload, and not be held back by security and compliance concerns in terms of putting that workload where it needs to be, where it will be most efficient, and where it can be embraced by a set of cloud capabilities that enable it to move in a competitive pace forward, infusing AI into everything that is done. Leveraging the latest in technologies, and serverless computing and all these other kind of things that can facilitate a line of business delivering more value so that cloud really continues, but also realizes its promises in that chapter two version of the story, also for regulated industries and also for their mission-critical workloads. >> Well Hillery, good luck with this, I mean congratulations on the progress that you've made, really since you guys announced this late last year, and really excited to see this start to take off, and you're a great guest, love having you on, thank you so much. >> Thanks so much for having me, pleasure talking to you as always. >> All right, cheers. And thank you everybody for watching, this is Dave Vellante for theCUBE, and we'll see you next time. (calm music)
SUMMARY :
leaders all around the world, and CTO of the IBM cloud, always a pleasure to be here. Why does the industry need and the need to interlock and so being able to take the collaboration with B of A, and the need for it and cloud is fundamental in that equation. how the cloud is going to be secure, feature of the FS cloud. and so having crossed the moat, about that all the time. and stuff that was on less sensitive data, and so that transition to digital, and that resonates with line of business. and so being able to bring to talk about the competition of the cloud itself, you have Make sure that I've got the and so to your point of what's next, in the early days of cloud, and so that's the other and RedHat as a key enabler of that and asset that we have, This is announced for the US first, right? of our expansion past the US. that enable it to move in and really excited to see pleasure talking to you as always. and we'll see you next time.
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IBM Think 2020 Keynote Analysis | IBM THINK 2020
from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hello everybody welcome to the cubes exclusive coverage of IBM thanks 2020 digital event experience the cube covering wall-to-wall we've got a number of interviews planned for you going deep my name is Dave Volante I'm here with stoom in ament's - how you doing doing great Dave so we're socially distant as you can see in the studio and mohab row everybody's you know six feet apart got our masks on took them off for this for this segment so Stu let's get into it so a very interesting time obviously for IBM Arvind Krishna doing the big keynote Jim Whitehurst new president so you got a new leadership a lot of talk about resilience agility and flexibility you know which is kind of interesting obviously a lot of their clients are thinking about kovat 19 in that context iBM is trying to provide solutions and capabilities we're going to get into it but really the linchpin of all this is open shift and RedHat and we're gonna talk about what that means for the vision that Arvind Krishna laid out and let's get into it your your thoughts on think 2020 yeah so Dave of course you know last week we had Red Hat summit so Red Hat is still Red Hat you and I had a nice discussion going into Red Hat summit yes thirty four billion dollar acquisition there now under IBM Jim white her slides over in that new role as president but you know one of the questions we've had fundamentally Dave is does an acquisition like this will it change IBM will it change the cloud landscape openshift and Red Hat are doing quite well we definitely have seen some some of the financials and every audience that hasn't seen your analysis segment of IBM should really go in and see that because the Red Hat of course is one of the bright spots in the financials they're you know good growth rate on the number of customers and what they're doing in cloud and underneath a lot of those announcements you dig down and oh yeah there's openshift and there's Red Hat Enterprise Linux rel so you know I long partner for decades between IBM and Red Hat but is you know how will the IBM scale really help the Red Hat pieces there's a number of announcements underneath you know not just you know how does the entire world work on you know Z and power and all of the IBM platforms but you know I believe it's arvind says one of the enduring platforms needs to be the hybrid cloud and you heard a Red Hat summit the entire week it was the open hybrid cloud was the discussion well yes so that actually is interesting you brought up Arvin's sort of pillars there were three enduring platforms that he cited then the fourth of course is I guess open hybrid cloud but the first was mainframes the second was and I'm not sure this is the right order the second was services and then the third was middleware so basically saying excuse me we have to win the day for the architecture of hybrid cloud what's that mean to you then I'd like to chime in yeah so so Dave first of all you know when when we did our analysis when IBM bought red Hatton says you know my TL DR was does this change the cloud landscape my answer is no if I'm a Amazon I'm not sitting there saying oh geez you know the combination of IBM and Red Hat well they're partners and they're they're gonna be involved in it does IBM have huge opportunities in hybrid cloud multi cloud and edge computing absolutely one of the questions is you know how will I be M services really be transformed you know Dave we've watched over the last decade some of the big service organizations have really shrunk down cloud changed the marginal economics you've done so much discussion of this over the last handful of years that you need to measure yourself against the hyper scalars you need to you know see where you can add value and the question is Dave you know when and where do we think of IBM in the new era well so coming back to sort of your point about RedHat and services is it about cloud is a developer's near-term I've said it's it's more about services than it is about cloud longer-term I think it is about cloud but but IBM's definition of cloud is maybe a little different than 10 hours but when Jeannie when on the roadshow - after the redhead acquisitions you said this is gonna be a creative - free cash flow within one year and the reason why I always believe that is because they were gonna plug Red Hat and we've talked about this an open shift right into their services business and start modernizing applications right away they've actually achieved that so I think they had pretty good visibility and that was kind of a mandate so IBM's huge services organization is in a good position to do that they've got deep industry expertise we heard Arvind Krishna on his keynote talking about that Jim Whitehurst talking more about services you really didn't hear Jim you know previously in his previous roles talk a lot about services other than as part of the ecosystem so it's an interesting balancing act that that iBM has to do the real thing I want to dig into Stu is winning the day with the with with the architecture of hybrid cloud so let's start with with cloud talk about how IBM defines cloud IBM on its earning earnings call we talked about this on our Red Hat Summit analysis the cloud was you know 23 billion you know growing it whatever 20 20 plus percent when my eyes have been bleeding reading IBM financial statements in ten case for the last couple of weeks but when you go in there and you look at what's in that cloud and I shared this on my braking analysis this week a very small portion of that cloud revenue that what last year 21 billion very small portion is actually what they call cloud cloud and cognitive software it's only about 20 percent of the pie it's really services it's about 2/3 services so that is a bit of a concern but at the same time it's their greatest opportunity because they have such depth and services if IBM can increase the percentage of its business that's coming from higher margin software a business which was really the strategy go back 20 years ago it's just as services became this so big it's so pervasive that that software percentage you know maybe it grew maybe it didn't but but that's IBM's opportunities to really drive that that that software based revenues so let's talk about what that looks like how does OpenShift play in that IBM definition of cloud which includes on Prem the IBM public law everybody else's public cloud multi-cloud and the edge yeah well first of all Dave right the question is where does IBM technologies where do they live so you know look even before the Red Hat piece if we looked at IBM systems there's a number of times that you're seeing IBM software living on various public clouds and that it's goodness you know one of the things we've talked about for a number of years is you know how can you become more of a software company how can you move to more of the you know cloud consumption models you go in more op X and capex so IBM had done some of that and Red Hat should be able to help supercharge that when we look at some of the announcements the one that of course caught my other most Dave is the you know IBM cloud satellite would would say the shorthand of it it's IBM's version of outposts and underneath that what is it oh it's open shift underneath there and you know how can I take those pieces and we know open ship can live across you know almost any of the clouds and you know cannot live on the IB cloud IBM cloud absolutely can it be open ship be in the data center and on virtualization whether it be open source or VMware absolutely so satellite being a fundamental component underneath of open ship makes a lot of sense and of course Linux yeah Linux underneath if you look at the the one that we've heard IBM talking about for a while now is cloud packs is really how are they helping customers simplify and build that cloud native stack you start with Red Hat Enterprise Linux you put openshift on top of that and then cloud packs are that simple toolset for whether you're doing data or AI or integration that middleware that you talked about in the past iBM has way the ways that they've done middleware for decades and now they have the wonderful open source to help enable that yeah I mean WebSphere bluemix IBM cloud now but but OpenShift is really that pass layer that that IBM had coveted right and I was talking to some of IBM's partners getting ready for this event and they say if you dig through the 10k cloud packs is one of those that you know there are thousands of customers that are using this so it's good traction not just hey we have this cloud stuff and it's wonderful and we took all of these acquisitions everything from SoftLayer to software pieces but you know cloud packs is you know a nice starter for companies to help really move forward on some of their cloud native application journey yes so what whatever we talked about this past week in the braking analysis and certainly David floor has been on this as well as this notion of being able to run a Red Hat based let's call it a stack everywhere and Jim White has talked about that essentially really whether it's on Prem at the edge in the clouds but the key there stew is being able to do so natively so every layer of you know it began call it the stack IT services the data plane the control plane the management plane all the planes being able to the networking the transport etc being natively able to run wherever it is so that you can take fine-grain advantage and leverage the primitives on respective clouds the advantage that IBM has in my view would love your thoughts on this is that Red Hat based platforms it's open source and so I mean it's somebody gonna trust Amazon to be the the cloud native anybody's cloud yeah you know solution well if you're part of the Amazon stack I mean I Amazon frankly an Oracle have similar kind of mindset you know redstack Amazon stack make it all homogeneous and it'll run just fine IBM's coming at it from an open source perspective so they they in some ways will have more credibility but it's gonna take a lot of investment to really Shepherd those standards they're gonna have to put a lot of commitments in committers and they're gonna have to incent people to actually adhere to those standards yeah I mean David's the idea of pass the platform as a service that we've been chasing as an industry for more than a decade what's interesting if you listen to IBM what's underneath this well it's you know taking advantage of the container based architecture with kubernetes underneath so can I run kubernetes anywhere yeah pretty much every cloud has their own service OpenShift can live everywhere the question is what David floors rightly putting out okay if I bake to a single type of solution can i really take advantage of the native offerings so the discussion we've always had for a long time as dua virtualize something in which case I'm really abstract away I get to you know I can't take advantage of the all various pieces do I do multi cloud in which case I have some least common denominator way of looking at cloud because I what I want to be able to do is get the value in differentiation out of each cloud I use but not be stuck on any cloud and yes Dave Red Hat with openshift and based with kubernetes and the open source community is definitely a leading way to do that what you worry about is saying okay how much is this stuck on containerization will it be able to take advantage of things like serverless you talk to IBM and say okay underneath it's going to have all this wonderful components Dave when I talked to Andy Jesse and he says if I was rebuilding AWS today it would all be service underneath so what is that underlying construct you know is it flexible and can it be updated Red Hat and IBM are going to bridge between the container world and the serverless world with things like a native but absolutely we are not yet at the Nirvana that developers can just build their apps and know that it can run anywhere and take advantage of anything so you know some things we know we need to keep working so a couple other things there so Jim Weider has talked about ingesting innovation that the nature of innovation is such that it comes from a lot of different places open source obviously is a you know fundamental you know component of that he talked about the telco edge he gave an example of Vodafone Arvind Krishna talked about anthem kind of redefining healthcare post kovat so you're seeing some examples of course that's good that IBM puts forth some really you know proof points it's not just you know slide where which is good I think the the interesting thing you know you can't just put you know containers out there and expect the innovation to find its way into those containers it's gonna take a lot of work to make sure that as those different layers of the stack that we were talking about before are actually going to come to fruition so there's there's the there's some other announcements in this regard to these Edgecumbe edge computing application manager let's say the telco edge a lot of automation focused you mentioned IBM satellite there's the financial services cloud so we're seeing IBM actually you know sprinkle around some investments there as I said in my breaking in houses I'd like to see them dial up those investments a little bit more maybe dial down the return of cash at least for the next several years to shareholders yeah I mean Dave the concern you would talk to most customers and you say well if you try to even optimize your own data center and turn it into a cloud how can you take advantage of the innovation that the Amazon Microsoft Google's and IBM's are Tait are putting out there in the world you want to be able to plug into that you want to be able to leverage those those new services so that is where it's definitely a shift Dave you think about IBM over a hundred years usually they're talking about their patent portfolio I I think they've actually opened up a lot of their patent portfolio to help attack you know the kovat 19 so it is definitely a very different message and tenor that I hear under Arvind Krishna you know in very early days than what I was used to for the last decade or two from IBM yeah well at the risk of being a little bit repetitive one of the things that I talked about in my breaking the analysis I highlighted that arvind said he wants to lead with a technical story which I really like Arvin's a technical visionary his predecessors his three predecessors were not considered technical visionaries and so I think that's one of the things that's been lacking inside of IBM I think it's one of the reason why why Services has been such a dominant component so look Lou Gerstner too hard to argue with the performance of the company but when he made the decision and IBM made the decision to go all-in on services something's got to give and what gave and I've said this many many times in the cube was was product leadership so I'd like to see IBM get back to that product leadership and I think Red Hat gives them an opportunity to do that obviously Red Hat Linux you know open source is a leader the leader and this is jump all as we've talked about many times in this multi hybrid cloud edge you know throwing all the buzzwords but there's some interesting horses on the track you got you got VMware we throw in AWS just because they're there you can talk about cloud without talking about AWS certainly Microsoft has designs there Cisco Google everybody wants a piece of that pie and I would say that you know Red Hat with with with OpenShift is in a good position if in fact they can make the investments necessary to build out those stacks yeah it's funny Dave because IBM for the history the size that they are often can get overlooked you talk about you know we've probably spent more air time talking about the VMware Amazon relationship than almost any in the last few years well we forget we were sitting at vmworld and two months before VMware announced the Amazon partnership who was it that was up on the main stage with Pat Gelson der it was IBM because IBM was the first partner I I believe that I saw numbers that IBM was saying that they have more hosted VMware environments than anyone out there I'd love to see the data on it to understand there because you know IBM plays in so many different places they just often are not you know aggregated and counted together you know when you get outside of some of the you know middleware mainframe some of the pieces that you talked about earlier Dave so IBM does have a strong position they just haven't been the front center leader too often but they have a broad portfolio and very much services led so they they kind of get forgotten you know off on the sides so IBM stated strategy is to bring those mission critical workloads into the cloud they've said that 80% of the workloads remain on Prem only 20% have been been clarified you know when you when you peel the onions on that there's just is so much growth and cloud native workloads so you know there's there is a somewhat of a so what in that but I will say this so where are the mission critical workloads where do they live today they live on Prem we can but but but whose stacks are running those it's IBM and it's Oracle and and David floor has done some research that suggests that if you're gonna put stuff into the cloud that's mission-critical you're probably better off staying with those those stacks that are going to allow you to a lower risk move not have to necessarily rip and replace and so you know migrating mission-critical Oracle database into AWS or db2 you know infrastructure into AWS is is gonna be much more challenging than than going same-same into the IBM cloud or the respective Oracle cloud so I guess my question to you Stu is why do people want to move those mission critical workloads into the cloud do they well first of all it's unlocking innovation that you talked about Dave so you know we've looked at from a VMware standpoint versus a red hat standpoint if you talk about building new apps doing containerization having that cloud native mindset do I have a bimodal configuration not so not a word that we talk about as much anymore because I want to be able to modernize it modernizing those applications doing any of those migrations we know or super challenging you know heck David Flair has talked about it for a long long time so you bring up some great points here that you know Microsoft might be the best at meeting customers where they are and giving people a lot of options IBM lines up in many ways in a similar ways my biggest critique about VMware is they don't have tight ties to the application it's mostly you know virtual eyes it or now we have some cloud native pieces but other than the pivotal group they didn't do a lot with modernization on applications IBM with their middleware history Red Hat with everything that they do with the developer communities are well positioned to help customers along those digital journeys and going through those transformations so it's you know applications need to be updated you know if anybody that's used applications that are long in the tooth know that they don't have the features that I want they don't react the way they want heck today Dave everybody needs to be able to access things where they are on the go you know it's not a discussion anymore about you know virtual desktop it's about you know work anywhere have access to the data where I need it and be much more flexible and agile and those are some of the configurations that you know iBM has history and their services arm can help customers move along those journeys yeah so you know I think one of the big challenges iBM has it's got a it's got a its fingers in a lot of pies AI you know they talk a lot about blockchain they're about quantum quantum is not gonna be here for a while it's very cool we have an interview coming up with with Jamie Thomas and you know she's all over the quantum we've talked to her in the past about it but I think you know if you think about IBM's business in terms of services and product you know it's whatever it is a 75 you know billion dollar organization 2/3 or and maybe not quite 2/3 maybe 60 Plus percent is services services are not an R&D intensive business you look at a company like Accenture Stu I think Accenture spent last year 800 million on R&D they're a forty five billion dollar forty six billion dollar company so if you really isolate the IBM you know company to two products whatever its call it 25 30 billion they spend a large portion of that that revenue on R&D to get to the six billion but my argument is it's it's not enough to really drive the type of innovation that they need just another again Accenture data point because they're kind of a gold standard along with IBM you.why and others and and a couple of others in services they return seventy six percent of their cash to shareholders iBM has returned consistently 50 to 60 percent to its shareholders so arvind stated he wants to return IBM to growth you know every every IBM CEO says that Ginni I used to talk about has to shrink to grow as I said unfortunately so you should run out of time and now it's up to Arvind to show that but to me growth has got to come from fueling Rd whether it's organic or inorganic I'd like to see you know organic as the real driver for obvious reasons and I don't think just open source in and of itself obviously is going to attract that it'll attract innovation but whether or not IBM will be able to harness it to his advantage is the real challenge unless they're making huge huge commitments to that open source and in a microcosm you know it's a kind of a proxy we saw what happened to Hortonworks and cloud era because they had to had to fund that open source commitment you know IBM we're talking about much much with the hybrid multi-cloud edge much much bigger opportunity but but requirement and we haven't even talked about AI you know bringing you know I think I think you have a quote on you know data is the fuel what was that quote yes it was Jim Whitehurst he said data is the fuel cloud is the platform AI is accelerant and then security my paraphrase is the mission control there so sounds a lot like your innovation cocktail that you've been talking about for the last year or so Dave but iCloud but so okay but AI is the accelerant and I agree by the way applying AI to all this data that we have you know over the years automating it and scaling it in the cloud it's critical and if IBM wants to define cloud as you know the cloud experience anywhere I'm fine with that I'm not a fan of the way they break down their cloud business I think it's bogus and I've called them on that but okay fine so maybe we'll get by that I'll get over it but but but really that is the opportunity it's just it's got to be funded yeah no Dave absolutely iBM has a lot of really good assets there they've got strong leadership as you said can Arvind do another Satya Nadella transformation there's the culture there's the people and there's the product so you know IBM you know absolutely has a lot of great resources and you know smart people and some really good products out there as well as really good ecosystem partnerships it's you know Amazon is not the enemy to IBM Microsoft is a partner for what they're doing and even Google is somebody that they can work with so you know I always say back in the ten years I've been working for you Dave I think the first time I heard the word coopertition I thought it was like an IBM trademark name because they were the ones that really you know lead as to have a broad portfolio and work with everybody in the ecosystem even though you don't necessarily agree or partner on every piece of what you're doing so in a multi cloud AI you know open ecosystem IBM's got a real shot yeah I mean a Satya Nadella like move would be awesome of course Satya had a much much larger you know of cash hoard to play with but but I guess the similarity stew are you you're notwithstanding that now we have three prominent companies run by Indian native born leaders which is pretty astounding when you think about it but notwithstanding that there are some similarities just in terms of culture and emphasis and getting back to sort of the the technical roots the technical visionaries so I'm encouraged but I'm watching very closely stew as I'm sure you are kind of where those investments go how how it plays in the marketplace but but I think you're right I think people underestimate IBM and and but the combination of IBM Red Hat could be very dangerous yeah Dave how many times do we write the article you know has the sleeping giant of IBM been awoken so I think it's a different era now and absolutely there's IBM has the right cards to be able to play at some of these new tables and it's a different IBM for a different era somebody said to me the other day that and probably you've probably heard this you have to but it was first I heard of it is that within five years IBM had better be a division of Red Hat versus the other way around so all right Stu thanks for for helping to set up the IBM think 2020 digital event experience what coming at you wall-to-wall coverage I think we've got over 40 interviews lined up Stu you you have been doing a great job both last week with the Red Hat summit and helping out with IBM thanks so thanks for that Dave no no rainy week at the new Moscone like we had last year a really good content from the comfort of our remote settings yeah so keep it right there buddy this is Dave a lot a force to Minutemen go to Silicon angle calm you'll check out all the news the the cube net we'll have all of our videos will be running wall-to-wall wiki bong calm has some some of the research action this day Volante force too many we'll be right back right after this short break [Music]
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Evaristus Mainsah, IBM & Kit Ho Chee, Intel | IBM Think 2020
>> Announcer: From theCUBE studios in Palo Alto and Boston, it's theCUBE, covering IBM Think brought to you by IBM. >> Hi, there, this is Dave Vellante. We're back at the IBM Think 2020 Digital Event Experience are socially responsible and distant. I'm here in the studios in Marlborough, our team in Palo Alto. We've been going wall to wall coverage of IBM Think, Kit Chee here is the Vice President, and general manager of Cloud and Enterprise sales at Intel. Kit, thanks for coming on. Good to see you. >> Thank you, Dave. Thank you for having me on. >> You're welcome, and Evaristus Mainsah, Mainsah is here. Mainsah, he is the general manager of the IBM Cloud Pack Ecosystem for the IBM Cloud. Evaristus, it's good to see you again. Thank you very much, I appreciate your time. >> Thank you, Dave. Thank you very much. Thanks for having me. >> You're welcome, so Kit, let me start with you. How are you guys doing? You know, there's this pandemic, never seen it before. How're things where you are? >> Yeah, so we were quite fortunate. Intel's had an epidemic leadership team. For about 15 years now, we have a team consisting of medical safety and operational professionals, and this same team has, who has navigated as across several other health issues like bad flu, Ebola, Zika and each one and one virus then navigating us at this point with this pandemic. Obviously, our top priority as it would be for IBM is protecting the health and well being of employees while keeping the business running for our customers. The company has taken the following measures to take care of it direct and indirect workforce, Dave and to ensure business continuity throughout the developing situation. They're from areas like work from home policies, keeping hourly workers home and reimbursing for daycare, elderly care, helping with WiFi policies. So that's been what we've been up to Intel's manufacturing and supply chain operations around the world world are working hard to meet demand and we are collaborating with supply pains of our customers and partners globally as well. And more recently, we have about $16 Million to support communities, from frontline health care workers and technology initiatives like online education, telemedicine and compute need to research. So that's what we've been up to date. Pretty much, you know, busy. >> You know, every society that come to you, I have to say my entire career have been in the technology business and you know, sometimes you hear negative toward the big tech but, but I got to say, just as Kit was saying, big tech has really stepped up in this crisis. IBM has been no different and, you know, tech for good and I was actually I'm really proud. How are you doing in New York City? >> Evaristus: No, thank you, Dave, for that, you know, we are, we're doing great and, and our focus has been absolutely the same, so obviously, because we provide services to clients. At a time like this, your clients need you even more, but we need to focus on our employees to make sure that their health and their safety and their well being is protected. And so we've taken this really seriously, and actually, we have two ways of doing this. One of them is just on to purpose as a, as a company, on our clients, but the other is trying to activate the ecosystem because problems of this magnitude require you to work across a broad ecosystem to, to bring forth in a solution that are long lasting, for example, we have a call for code, which where we go out and we ask developers to use their skills and open source technologies to help solve some technical problems. This year, the focus was per AVADA initiatives around computing resources, how you track the Coronavirus and other services that are provided free of charge to our clients. Let me give you a bit more color, so, so IBM recently formed the high performance computing consortium made up of the feYderal government industry and academic leaders focus on providing high performance computing to solve the COVID-19 problem. So we're currently we have 33 members, now we have 27 active products, deploying something like 400 teraflops as our petaflop 400 petaflops of compute to solve the problem. >> Well, it certainly is challenging times, but at the same time, you're both in the, in the sweet spot, which is Cloud. I've talked to a number of CIOs who have said, you know, this is really, we had a cloud strategy before but we're really accelerating our cloud strategy now and, and we see this as sort of a permanent effect. I mean, Kit, you guys, big, big on ecosystem, you, you want frankly, a level playing field, the more optionality that you can give to customers, you know, the better and Cloud is really been exploding and you guys are powering, you know, all the world's Clouds. >> We are, Dave and honestly, that's a huge responsibility that we undertake. Before the pandemic, we saw the market through the lens of four key mega trends and the experiences we are all having currently now deepens our belief in the importance of addressing these mega trends, but specifically, we see marketplace needs around key areas of cloudification of everything below point, the amount of online activities that have spiked just in the last 60 days. It's a testimony of that. Pervasive AI is the second big area that we have seen and we are now resolute on investments in that area, 5G network transformation and the edge build out. Applications run the business and we know enterprise IT faces challenges when deploying applications that require data movement between Clouds and Cloud native technologies like containers and Kubernetes will be key enablers in delivering end to end data analytics, AI, machine learning and other critical workloads and Cloud environments at the edge. Pairing Intel's data centric portfolio, including Intel's obtain SSPs with Red Hat, Openshift, and IBM Cloud Paks, enterprise can now break through storage bottlenecks and have unconstrained data availability in the hybrid and multicloud environments, so we're pretty happy with the progress we're making that together with IBM. >> Yeah, Evaristus, I mean, you guys are making some big bets. I've, you know, written and discussed in my breaking analysis, I think a lot of people misunderstand IBM Cloud, Ginni Rometty arm and a bow said, hey, you know, we're after only 20% of the workloads are in cloud, we're going after the really difficult to move workloads and the hybrid workloads, that's really the fourth foundation that Arvin you know, talks about, that you and IBM has built, you know, your mainframes, you have middleware services, and in hybrid Cloud is really that fourth sort of platform that you're building out, but you're making some bets in AI. You got other services in the Cloud like, like blockchain, you know, quantum, we've been having really interesting discussions around quantum, so I wonder if you can talk a little bit about sort of where you're allocating resources, some of the big bets that, that you're making for the next decade. >> Well, thank you very much, Dave, for that. I think what we're seeing with clients is that there's increasing focus on and, and really an acceptance, that the best way to take advantage of the Cloud is through a hybrid cloud strategy, infused with data, so it's not just the Cloud itself, but actually what you need to do to data in order to make sure that you can really, truly transform yourself digitally, to enable you to, to improve your operations, and in use your data to improve the way that you work and improve the way that you serve your clients. And what we see is and you see studies out there that say that if you adopt a hybrid cloud strategy, instead of 2.5 times more effective than a public cloud only strategy, and Why is that? Well, you get thi6ngs such as you know, the opportunity to move your application, the extent to which you move your applications to the Cloud. You get things such as you know, reduction in, in, in risk, you, you get a more flexible architecture, especially if you focus on open certification, reduction and certification reduction, some of the tools that you use, and so we see clients looking at that. The other thing that's really important, especially in this moment is business agility, and resilience. Our business agility says that if my customers used to come in, now, they can't come in anymore, because we need them to stay at home, we still need to figure out a way to serve them and we write our applications quickly enough in order to serve this new client, service client in a new way. And well, if your applications haven't been modernized, even if you've moved to the Cloud, you don't have the opportunity to do that and so many clients that have made that transformation, figure out they're much more agile, they can move more easily in this environment, and we're seeing the whole for clients saying yes, I do need to move to the Cloud, but I need somebody to help improve my business agility, so that I can transform, I can change with the needs of my clients, and with the demands of competition and this leads you then to, you know, what sort of platform do you need to enable you to do this, it's something that's open, so that you can write that application once you can run it anywhere, which is why I think the IBM position with our ecosystem and Red Hat with this open container Kubernetes environment that allows you to write application once and deploy it anywhere, is really important for clients in this environment, especially, and the Cloud Paks which is developed, which I, you know, General Manager of the Cloud Pak Ecosystem, the logic of the Cloud Paks is exactly that you'll want plans and want to modernize one, write the applications that are cloud native so that they can react more quickly to market conditions, they can react more quickly to what the clients need and they, but if they do so, they're not unlocked in a specific infrastructure that keeps them away from some of the technologies that may be available in other Clouds. So we have talked about it blockchain, we've got, you know, Watson AI, AI technologies, which is available on our Cloud. We've got the weather, company assets, those are key asset for, for many, many clients, because weather influences more than we realize, so, but if you are locked in a Cloud that didn't give you access to any of those, because you hadn't written on the same platform, you know, that's not something that you you want to support. So Red Hat's platform, which is our platform, which is open, allows you to write your application once and deploy it anyways, particularly our customers in this particular environment together with the data pieces that come on top of that, so that you can scale, scale, because, you know, you've got six people, but you need 600 of them. How do you scale them or they can use data and AI in it? >> Okay, this must be music to your ears, this whole notion of you know, multicloud because, you know, Intel's pervasive and so, because the more Clouds that are out there, the better for you, better for your customers, as I said before, the more optionality. Can you6 talk a little bit about the rela6tionship today between IBM and Intel because it's obviously evolved over the years, PC, servers, you know, other collaboration, nearly the Cloud is, you know, the latest 6and probably the most rel6evant, you know, part of your, your collaboration, but, but talk more about what that's like you guys are doing together that's, that'6s interesting and relevant. >> You know, IBM and Intel have had a very rich history of collaboration starting with the invention of the PC. So for those of us who may take a PC for granted, that was an invention over 40 years ago, between the two companies, all the way to optimizing leadership, IBM software like BB2 to run the best on Intel's data center products today, right? But what's more germane today is the Red Hat piece of the study and how that plays into a partnership with IBM going forward, Intel was one of Red Hat's earliest investors back in 1998, again, something that most people may not realize that we were in early investment with Red Hat. And we've been a longtime pioneer of open source. In fact, Levin Shenoy, Intel's Executive Vice President of Data Platforms Group was part of COBOL Commies pick up a Red Hat summit just last week, you should definitely go listen to that session, but in summary, together Intel and Red Hat have made commercial open source viable and enterprise and worldwide competing globally. Basically, now we've65 used by nearly every vertical and horizontal industr6y. We are bringing our customers choice, scalability and speed of innovation for key technologies today, such as security, Telco, NFV, and containers, or even at ease and most recently Red Hat Openshift. We're very excited to see IBM Cloud Packs, for example, standardized on top of Openshift as that builds the foundation for IBM chapter two, and allows for Intel's value to scale to the Cloud packs and ultimately IBM customers. Intel began partnering with IBM on what is now called Pax over two years ago and we 6are committed to that success and scaling that, try ecosystem, hardware partners, ISVs and our channel. >> Yeah, so theCUBE by the way, covered Red Hat summit last week, Steve Minima and I did a detailed analysis. It was awesome, like if we do say so ourselves, but awesome in the sense of, it allowed us to really sort of unpack what's going on at Red Hat and what's happening at IBM. Evaristus, so I want to come back to you on this Cloud Pack, you got, it's, it's the kind of brand that you guys have, you got Cloud Packs all over the place, you got Cloud Packs for applications, data, integration, automation, multicloud management, what do we need to know about Cloud pack? What are the relevant components there? >> Evaristus: I think the key components is so this is think of this as you know, software that is designed that is Cloud native is designed for specific core use cases and it's built on Red Hat Enterprise Linux with Red Hat Openshift container Kubernetes environment, and then on top of that, so you get a set of common services that look right across all of them and then on top of that, you've got specific both open source and IBM software that deals with specific plant situations. So if you're dealing with applications, for example, the open source and IBM software would be the run times that you need to write and, and to blow applications to have setups. If you're dealing with data, then you've got Cloud Pack to data. The foundation is still Red Hat Enterprise Linux sitting on top of with Red Hat Openshift container Kubernetes environment sitting on top of that providing you with a set of common services and then you'll get a combination of IBM zone open, so IBM software as well as open source will have third party software that sits on top of that, as well as all of our AI infrastructure that sits on top of that and machine learning, to enable you to do everything that you need to do, data to get insights updates, you've got automation to speed up and to enable us to do work more efficiently, more effectively, to make your smart workers better, to make management easier, to help management manage work and processes, and then you've got multicloud management that allows you to see from a single pane, all of your applications that you've deployed in the different Cloud, because the idea here, of course, is that not all sitting in the same Cloud. Some of it is on prem, some of it is in other Cloud, and you want to be able to see and deploy applications across all of those. And then you've got the Cloud Pack to security, which has a combination of third party offerings, as well as ISV offerings, as well as AI offerings. Again, the structure is the same, REL, Red Hat Openshift and then you've got the software that enables you to manage all aspects of security and to deal with incidents when, when they arise. So that gives you data applications and then there's integration, as every time you start writing an application, you need to integrate, you need to access data security from someplace, you need to bring two pipes together for them to communicate and we use a Cloud Pack for integration to allow us to do that. You can open up API's and expose those API so others writing application and gain access to those API's. And again, this idea of resilience, this idea of agility, so you can make changes and you can adapt data things about it. So that's what the Cloud Pack provides for you and Intel has been an absolutely fantastic partner for us. One of the things that we do with Intel, of course, is to, to work on the reference architectures to help our certification program for our hardware OEMs so that we can scale that process, get many more OEMs adopt and be ready for the Cloud Packs and then we work with them on some of the ISV partners and then right up front. >> Got it, let's talk about the edge. Kity, you mentioned 5G. I mean it's a really exciting time, (laughs) You got windmills, you got autonomous vehicles, you got factories, you got to ship, you know, shipping containers. I mean, everything's getting instrumented, data everywhere and so I'm interested in, let's start with Intel's point of view on the edge, how that's going to evolve, you know what it means to Cloud. >> You know, Dave, it's, its definitely the future and we're excited to partner with IBM here. In addition to enterprise edge, the communication service providers think of the Telcos and take advantage of running standardized open software at the Telco edge, enabling a range of new workloads via scalable services, something that, you know, didn't happen in the past, right? Earlier this year, Intel announced a new C on second generation, scalable, atom based processes targeting the 5G radio access network, so this is a new area for us, in terms of investments going to 5G ran by deploying these new technologies, with Cloud native platforms like Red Hat Openshift and IBM Cloud Packs, comm service providers can now make full use of their network investments and bring new services such as Artificial Intelligence, augmented reality, virtual reality and gaming to the market. We've only touched the surface as it comes to 5G and Telco but IBM Red Hat and Intel compute together that I would say, you know, this space is super, super interesting, as more developed with just getting started. >> Evaristus, what do you think this means for Cloud and how that will evolve? Is this sort of a new Cloud that will form at the edge? Obviously, a lot of data is going to stay at the edge, probably new architectures are going to emerge and again, to me, it's all about data, you can create more data, push more data back to the Cloud, so you can model it. Some of the data is going to have to be done in real time at the edge, but it just really extends the network to new horizons. >> Evaristus: It does exactly that, Dave and we think of it and which is why I thought it will impact the same, right? You wouldn't be surprised to see that the platform is based on open containers and that Kubernetes is container environment provided by Red Hat and so whether your data ends up living at the edge or your data lives in a private data center, or it lives in some public Cloud, and how it flows between all of them. We want to make it easy for our clients to be able to do that. So this is very exciting for us. We just announced IBM Edge Application Manager that allows you to basically deploy and manage applications at endpoints of all these devices. So we're not talking about 2030, we're talking about thousands or hundreds of thousands. And in fact, we're working with, we're getting divided Intel's device onboarding, which will enable us to use that because you can get that and you can onboard devices very, very easily at scale, which if you get that combined with IBM Edge Application Manager, then it helps you onboard the devices and it helps you divide both central devices. So we think this is really important. We see lots of work that moving on the edge devices, many of these devices and endpoints now have sufficient compute to be able to run them, but right now, if they are IoT devices, the data has been transferred to hundreds of miles away to some data center to be processed and enormous pass and then only 1% of that actually is useful, right? 99% of it gets thrown away. Some of that actually has data residency requirements, so you may not be able to move the data to process, so why wouldn't you just process the data where the data is created around your analytics where the data is spread, or you have situations that are disconnected as well. So you can't actually do that. You don't want to stop this still in the supermarket, because there's, you lost connectivity with your data center and so the importance of being able to work offline and IBM Edge Application Manager actually allows you so it's tournament so you can do all of this without using lots of people because it's a process that is all sort or automated, but you can work whether you're connected or you're disconnected, and then you get replication when you get really, really powerful for. >> All right, I think the developer model is going to be really interesting here. There's so many new use cases and applications. Of course, Intel's always had a very strong developer ecosystem. You know, IBM understands the importance of developers. Guys, we've got to wrap up, but I wonder if you could each, maybe start with Kit. Give us your sense as to where you want to see this, this partnership go, what can we expect over the next, you know, two to five years and beyond? >> I think it's just the area of, you know, 5G, and how that plays out in terms of edge build out that we just touched on. I think that's a really interesting space, what Evaristus has said is spot on, you know, the processing, and the analytics at the edge is still fairly nascent today and that's growing. So that's one area, building out the Cloud for the different enterprise applications is the other one and obviously, it's going to be a hybrid world. It's not just a public Cloud world on prem world. So the whole hybrid build out What I call hybrid to DoD zero, it's a policy and so the, the work that both of us need to do IBM and Intel will be critical to ensure that, you know, enterprise IT, it has solutions across the hybrid sector. >> Great. Evaristus, give us the last word, bring us home. >> Evaristus: And I would agree with that as well, Kit. I will say this work that you do around the Intel's market ready solutions, right, where we can bring our ecosystem together to do even more on Edge, some of these use cases, this work that we're doing around blockchain, which I think you know, again, another important piece of work and, and I think what we really need to do is to focus on helping clients because many of them are working through those early cases right now, identify use cases that work and without commitment to open standards, using exactly the same standard across like what you've got on your open retail initiative, which we're going to do, I think is going to be really important to help you out scale, but I wanted to just add one more thing, Dave, if you if you permit me. >> Yeah. >> Evaristus: In this COVID era, one of the things that we've been able to do for customers, which has been really helpful, is providing free technology for 90 days to enable them to work in an offline situation to work away from the office. One example, for example, is the just the ability to transfer files and bandwidth, new bandwidth is an issue because the parents and the kids are all working from home, we have a protocol, IBM Aspera, which will make available customers for 90 days at no cost. You don't need to give us your credit card, just log on and use it to improve the way that you work. So your bandwidth feels as if you are in the office. We have what's an assistant that is now helping clients in more than 18 countries that keep the same thing, basically providing COVID information. So those are all available. There's a slew of offerings that we have. We just want listeners to know that they can go on the IBM website and they can gain those offerings they can deploy and use them now. >> That's huge. I knew about the 90 day program, I didn't realize a sparrow was part of that and that's really important because you're like, Okay, how am I going to get this file there? And so thank you for, for sharing that and guys, great conversation. You know, hopefully next year, we could be face to face even if we still have to be socially distant, but it was really a pleasure having you on. Thanks so much. Stay safe, and good stuff. I appreciate it. >> Evaristus: Thank you very much, Dave. Thank you, Kit. Thank you. >> Thank you, thank you. >> All right, and thank you for watching everybody. This is Dave Volante for theCUBE, our wall to wall coverage of the IBM Think 2020 Digital Event Experience. We'll be right back right after this short break. (upbeat music)
SUMMARY :
brought to you by IBM. and general manager of Cloud Thank you for having me on. Evaristus, it's good to see you again. Thank you very much. How are you guys doing? and to ensure business the technology business and you know, for that, you know, we and you guys are powering, you and the experiences we that Arvin you know, talks about, the extent to which you move the Cloud is, you know, and how that plays into a partnership brand that you guys have, and you can adapt data things about it. how that's going to evolve, you that I would say, you know, Some of the data is going to have and so the importance of the next, you know, to ensure that, you know, enterprise IT, the last word, bring us home. to help you out scale, improve the way that you work. And so thank you for, for sharing that Evaristus: Thank you very much, Dave. you for watching everybody.
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Prasad Sankaran, Accenture | IBM Think 2020
[Music] from the cube studios in Palo Alto in Boston it's the cube covering the IBM thing brought to you by IBM hi everybody this is David Lally you're watching the cube and our multi day coverage of the IBM think Digital 20/20 experience the event experienced wall-to-wall coverage prasad saccharine is here he's the senior managing director at Accenture technology great to see you thanks for coming on for Sun and thank you for having me there pleasure to be on very welcome so um I'm looking at your bio here you're responsible for the relationship with with IBM Red Hat so I'm interested in that and you're driving the Accenture intelligent cloud and engineering practice so we got a lot to talk about here let's start with Red Hat obviously it's probably the most important in at least new part of IBM so here you're in the right spot what's going on with with with Red Hat these days in your practice there oh yeah so you know Red Hat is a extremely important part of our practice I am very much focused on what Accenture does within the hybrid cloud space for our clients and red hat with OpenShift is you know the most powerful platform that there is out there today in helping our clients both innovate in the new as they expand in what they're doing digitally as well as move and modernize some of the equipment they have you know from existing history you know I went when the Red Hat deal was completed I did a little braking analysis my sort of weekly editorial segment and I said you know this this Red Hat acquisition openshift is the linchpin and I went right there right we just went it was all about application modernization and hybrid cloud bringing that cloud experience to on-prem or cross clouds and so that it was always my take you know there was a lot of sort of marketing around cloud generally but but more specifically it's a to me it was always about that application modernization so I'm curious as to how your your clients have responded to that and you know whether or not I'm sort of on the right track there yeah I think there are multiple factors I mean if you look at just broadly the areas I think there are three areas the first as you correctly said there is application modernization so our clients are looking at the amount of technical debt that they have and their legacy systems they're looking to you know modernize the right parts of their legacy estate you know one looking at the trade-off around the costs as well as the performance so Red Hat and open ship really gives them the platform that allows them to do that and make take their journey forward from an app mod perspective onto the clouds and you know the various public clouds the second area is actually in greenfield development so as clients are building new applications they want to be able to you know build applications that they can run across you know multiple platforms whether it's private cloud or public cloud and particularly in areas like Europe I think this is particularly significant and we can talk about that in some more detail and then the third area which is emerging as you know is is the whole area of edge and IOT which is going to actually move a lot of the computer way from the central clouds into the into the edge and you know obviously open ship is going to play a big part there as well bringing all all the three parts of the enterprise as it were you know the edge and the cloud as well as all of the legacy and private estates that exist today so to talk more about Europe what's going on there is that a GDP or a related thing a country you know in country may keep the data in country what is the issue there yeah it's a little bit of board I you know if you look at particularly financial services but certainly other industries as well the regulator's are extremely focused on making sure that you know the right balance is being struck even if you're using public clouds you know they are going to talk about the amount of public cloud usage that can be for every application the various applications that have to be actually running on a private cloud estate so in a scenario like that you will really want to be able to build applications that you can run across you know multiple different platforms and you know open ship gives you the answer to be able to do that to be able to you know have a policy based approach where you know certain workloads can be working on your private cloud and certainly you can move it out to you know public cloud when the need arises result explain the edge angle is that about bringing a programmability or the cloud model to the data at the edge you can explain that more detail sure sure and you know the edge and IOT and the Internet of Things impacts different industries differently you know I can talk about you know since we mentioned financial services let me bring up insurance for example you look at autonomous you know cars and you know self driven vehicles and so on as their going to change daily life what happens in those cases is that you want a lot of that data to be processed at the vehicle level so at the edge rather than a lot of processing happening across the network you know up at the central crowd and then coming back down to the vehicle because the latency just doesn't allow these these sorts of applications to happen you look at multiple industries that are really being impacted by the edge and so as that starts to become more prevalent and about 50 to 60 percent of a lot of this compute moves off of the central cloud through various education what you really want to have is like the versions of these platforms running on those particular devices and the rest of it running either on your private or your central clouds so you have to be able to use and move a lot of these applications which are container base you know platform you know Ginni Rometty now arvind talked about how the only 20% of the workloads have moved to the cloud it's they're really difficult to move workloads that are sort of the next next wave how do you see that evolving from Accenture perspective I think I think you have I mean you get your technology agnostic right I mean you really you know you're not a purveyor of hardware or software and so how do you see as a kind of a quasi-independent here how do you see that that hybrid cloud that cloud journey playing out yeah I think you know the we have the same number by the way I mean we see about when we talk to our clients and we've surveyed several CEOs and CIOs the number we we arrive at is that about 20 percent I think of workloads having moved to the cloud now a lot of that has been SAS based you know they've taken a lot of functions that could really be satified so to speak now comes the part around really taking portions of your legacy estate that you need to move to the cloud whether you're going to do it as a pass or an i as you know doesn't really matter and then you know weave into that the requirements around data privacy around compliance around high performance etc which might either take you to a private cloud type of orientation or take it to various public clouds so there's a lot of that work be done so what we are doing with many of our clients is really working with them taking a lot of our tools we have a tool that that we use called my nav which allows you to really assess a client's legacy estate and figure out you know what part of it that really we should be modernizing and which of the partners brilliant that we need to be working with to be able to modernize that aspect in concurrence with that is all of the new development that's happening on the cloud native development which is naturally glowing going into you know a lot of these public as well as private cloud so a lot of that work the next you know let's say 30 to 40 percent over the next few years is going to be a lot of work that happens and that's going to be heavier lifting as compared to you know the initial 20% that is half of it well heavy heavy lifting is kind of your area of expertise and we think about Accenture deep industry expertise global presence I mean as does IBM empiricist essaouira your relationship with IBM what what's the partnership like maybe you could describe sort of where you guys complement each other I know you compete in certain segments but where do you complement each other you know like you pointed out earlier Dave you know we are we're very much technology agnostic we have been on a public cloud journey for the last several years and really built our skills and our you know support around that what the hyper scale is we're doing in the market as hybrid cloud has evolved over the last you know couple of years especially we see that open shift and Red Hat and IBM you know play a big part in you know in this part of the journey as well as IBM public cloud we see you know the use of IBM public cloud continue to increase in the market so all of these you know companies I think play a very important role in what our clients want to do to take their journeys to the cloud forward so you know we're trying to piece all of that together to to have the right you know solutions to our clients and really brings together I think the aspects one is you know country specific requirements the second is the specific industry that you're talking about and you know the third is technology so really it's a it's an intersection of region technology as well as industry it's something that you know we're naturally good at we have several clients where we do a lot of you know a lot we have deep existing relationships and we certainly partner with IBM very closely we are the largest system integrator of all of IBM software products globally outside of IBM themselves and we've been that maintaining that status for many years we've been doing the same on the Red Hat side so as IBM and Red Hat come together I think at many of our clients we're a very natural consultant and systems integrator for or IBM rather we haven't talked much about multi-cloud this week I know Stu minimun my colleague has been hosting the Red Hat summit and it talked a lot about it but again I want to tap you're sort of you know that you're agnostic brain you look at the landscape and you've got different suppliers coming at it from different angles right AWS won't use the term via Microsoft obviously has a good story there you know Google with anthos etc VMware wants its piece of the pie iBM is kind of to me one of the most interesting with red hat of course because not only does it have its own cloud but it's very aggressive around supporting multiple clouds it's it it seems to be you know intent on doing whatever the client wants clearly that's your business I wonder what you can share with us about your thoughts on on multi cloud specifically yeah absolutely I think you know multi cloud is certainly where a lot of our clients are at and they've started the multi cloud journey you know you know a few years ago they have gone with more than you know maybe one hyper scaler although they have had you know just few workloads perhaps in in in multiple of them and really focused on one of them but as they start increasing the percentage of work that they're doing within the within the clouds they start looking at a lot of these clouds for very specific reason and most of our clients end up using food with P public clouds and when I look at the public cloud certainly you mentioned all of them AWS Microsoft Azure Google you know to the GCP product as well as you know IBM with IBM's public cloud and then with OpenShift really being able to run across all of these public clouds allow you allows you to actually design you know micro services based applications that are containerized and you can you know pretty much run them across whichever cloud you want and this is where we really you know work with our clients to really understand their need and to help them with you know the specific clouds that we won't be working with and which applications really should reside where makes sense for them and like I said from a Europe perspective you know with gdpr etc I think that journey is a little bit you know further advanced than it is perhaps in other places other parts of the world but we're seeing you know much more use of multi-cloud in addition to of course sass and increase user way Superdog your role is global obviously not just yes not just us right pan-pan the world or is it US and Europe no it is its global so it's us Europe as well as what we call the growth market so it includes China then is that correct or yes yeah so okay so now you got Alibaba you know you're playing there that's yet another cloud and so and what your one of the roles that you play as a systems integrator and somebody who's you know trying to trust it is you help customers pick the right workload for the right you know infrastructure and make it work obviously and help them de-risk one of the things we've noted is you know going back to the 80/20 or 20 has moved 80 hasn't it's the hard stuff it's that a lot of that mission-critical stuff hasn't moved in mate may never move but some of it will it just seems to us that you know moving the mission critical workloads is very risky and so what you want to do is make sure that you D risk that maybe keep it on you know if it's an IBM mission-critical workload maybe IBM's got ways to keep it safe in the IBM cloud and you know cross connect them etc I wonder what your thoughts are on moving what has heretofore been hard to move workloads does it make sense to put them in the cloud or does it make sense to put a brick wall around them and leave them on Prem I know it depends but but but maybe you could frame that for us sure absolutely so we have you know a concept that we call digital decoupling and what that really entails is is to take a look at these monolithic applications that are running you know on the back end and then we look at certain speech ER extraction that you know you can you can perform take those features out especially things that will give you access to digital channels you know rewrite those applications containerize them and then be able to run them on on multiple clouds and we've been doing that with you know many clients for example you know large hotel chains where we've taken a lot of that functionality containerized it run it on public clouds and it's only the final commit after you go through the process of figuring out you know what kind of room do you want picking out the various features it's not till the final commit that that happens on the mainframe side so feature extraction through digital decoupling I think offers you tremendous offloading of a lot of those features as well as processing onto the public cloud certainly iBM is also looking at many in many ways in which they can move some of these core functions as well on to their public cloud so I think the journey continues like you said you know it may not be ever that you have a hundred percent of the processing that happens on the public cloud and again we have to take a look at the amount of work that there is the risk reward the cost that it will take and you know with the enormous amount of functionality that has to take place this is where we have to advise our clients on you know the journey as well as the order in which via TP for the landscape we talked earlier about edge you're talking about multiple clouds you've got on-prem you've got mission critical workloads and you mentioned you know containers people want portability of course containers are necessary ingredient of that portability but it's insufficient and so you just see complexity increasing as we as we proceed down this cloud journey you've got to secure those those those those containers and and micro services sometimes aren't so micro you've you've got to make them work across cloud so it seems to me that you guys and your your clients get a lot of work to do which is which is a good thing as long as they make the business case and it's adding value to the organization yeah absolutely and then this is where you know you take certain functions I think you have a lot of sass options particularly around certain things that you're doing that tend to be you know commoditized so to speak certain other functions where you don't need perhaps their elasticity either about offers so you can have you know past solutions that you can build more quickly but then you want other solutions that need to be more mission-critical more resilient and in certainly movement elastic and that's where you know you look at you know producing micro-services containerized applications that you can really burst across you know multiple clouds and so on so these are all part of the architectures that we're building designing and implementing a wrapper Versailles where can I go to get more info on this whole topic from you know a hybrid cloud perspective as well as a public cloud perspective we go to Accenture comm and you do go to the cloud section there's a lot of information as well as credentials and white papers that you'd be able to access and also gives you access to specific people that you can you know reach out to and contact and get for the information on what they've been able to do very interesting conversation prasad and it's great to see you guys working very closely with with IBM i love it two global companies deep industry expertise solving hard problems so thanks so much for coming with you Naruto thank you so much for doing this very welcome and thank you for watching everybody this is Dave Volante and it's a wall-to-wall coverage of the IBM digital event experience around think 2020 we're right back right at this short break you're watching the Hume [Music] you
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Akilesh Duvvur, IBM | IBM Think 2020
>> Narrator: From theCUBE studios in Palo Alto and Boston, it's theCUBE, covering IBM Think. Brought to you by IBM. >> All right everybody welcome back to theCUBE's continuous coverage of IBM Think 2020. It's digital event experience, my name is Dave Vellante, Aki Duvvur's here, he's the vice president of the IBM public cloud. Aki great to see you, thanks for coming on, hope you're safe and-- >> Hey Dave, Thanks for having us on. We're as safe as can be, appreciate it. >> Yeah, so your background is really interesting, your heading IBM cloud now, you got a CTO background, you been in sales, that's interesting to me because it gave you an opportunity to really try to understand the product market fit, if you will, from the customers point of view. But how did that shape your thinking about cloud generally and specifically where you're at today. >> Hey, great question Dave. So I'll tell you from my technology background it really gave me a good appreciation for how applications get built, from everything from the infrastructure all the way up and through the application itself. To all of the criticality around how those applications need to be built, how they need to be made highly available. With business continuance in mind, which is exactly what we're trying to do at scale right now from a public crown perspective, out from an architectural first principles perspective. And then I would say from a sales perspective it gave me a sense of speed and clarity of vision. In terms of just how you have to be very net in terms of the value proposition that you bring forward to a client and how you position the public cloud at large. So those two items or backgrounds have brought me full circle into my product role today and allow me to work with a sense of urgency for our clients and their journeys and their complex transformation as we build a cloud that is very enterprise centric to support their mission critical workload. >> I want to follow up with that. So I mean the traditional approach to developing enterprise apps, you walk inside any large financial institution and a healthcare, pharma, et cetera and you would have very much a waterfall approach. Understand the requirements, you'd have a development team, you'd have an operations team, they'd throw the code over the fence, they'd throw it back. Ah your code doesn't work, well it did when I sent it to you. And the cloud has really changed all that, hasn't it? And so now you're moving much faster, you're doing agile, how do you see that applying to sort of the traditional IBM base, is it being embraced? How is it being embraced? Is it different from other approaches? I wonder if you could address that. >> I think it's a transformation for the entire company, and when I say journey to cloud it really is around not just the public cloud as a destination but it's the entire hybrid approach that we have to take in delivering those applications you just alluded to. They're pretty much the mission critical heart of the enterprise, so it's a transformation from a public cloud perspective, it's a transformation from how our services schemes engage with our clients, how we migrate, how we modernize, how we take that middleware stack and we convert it into containerized software that we can actually leverage and deploy in the public cloud as part of this transformation,. So really it's a reinvention of not just the way our customers interact with the public cloud, but the way that we as a public cloud provider and a services provider can react and give our clients the best value across that entire hybrid transformation. >> So one of the things that of course IBM executives stresses, we've heard Ginni talk about it, we hear Arvind talk about it, across the whole company you guys are aligned on this topic, only 20% of the workloads have moved to the cloud, it's the hard stuff that hasn't moved, IBM has stated you want to be the preferred supplier for all the really challenging, hybrid, workloads et cetera. So what I want to get to is how you're approaching that, is it a combination of using open technologies and it's going to, blending those with your very large software state, what's your kind of secret sauce around succeeding with that vision? >> That's a really good question, so they're kind of three pillars to our strategy. Number one is around open technologies, embracing open technologies and one of the things that we did very early on in our transformation, in fact back in 2017, before any other cloud provider focused on this, we re-based our entire public cloud on Kubernetes as the base. Not only for the way we deliver up-stack services, whether it's Watson, our IOT or other service, but also in the way that we deliver our IaaS. So our entire control plane is built on Kubernetes. That was a big bet that we made probably two years before everybody else in the industry sort of followed suit. And we are the only cloud provider today that has their entire cloud based on Kube. That was one pillar, the second pillar was around pervasive security, so it's ensuring that our client have the controls required to be able to deliver pervasive security, whether it's encryption and flight at rest or in motion, but also ensuring that they're the only one's that have access to their keys. So nobody else, not even the provider can decrypt their data in the public cloud. And then finally it's around enterprise capabilities, so as you talked about this other 80% of workloads, a lot of those apps are brittle workloads, so they have upstream and downstream connectivity that creates a lot of complexity and chatter in the application itself. So you've got to be able to support those workloads from a public cloud perspective so that there is none of that chattiness and you can actually deliver those applications in a way that they can, one, be moved into the public cloud and then later transformed into microservices and or into microservices directly as part of that transformation, so that middleware content et cetera, delivered as containers allows for a lot of that transformation of different aspects of the cloud. >> Know what, take us back to that bet that you made, So Kubernetes obviously for portability, the decision had to be made strategically that, yeah, just going to try to lock everybody into the IBM cloud. You're going to support multiple clouds, and in all fairness you kind of were later to the cloud game so that became part of your strategy, hybrid is obviously a piece of that, but you embraced that. Many cloud providers out there were late to embracing that or flat-out don't embrace that sort of multicloud approach. Security's kind of table stakes and we're going to get into that later but that enterprise apps piece is critical. Take us back to that Kubernetes decision. What was that, was that the strategy of being open cloud and multicloud, was it sort of a Red Hat angle, pre-Red Hat acquisition where you had affinity towards not only Linux but OCP, maybe you can talk about that. >> I think it's a combination of many things, in fact it predates Red Hat too in that, this was back in 2017, and fundamentally after Google open-sourced Kubernetes, one of the big, if you look at the way that the virtual server platforms back in the late 90s, early 2000s, one of the big challenges was around management of those BM's at scale. So very similarly we saw containers as being a very rapid approach to application deployment and really sort of merging that DevOps transformation that many of our clients were going through. So we said that this was a perfect vehicle to not only deliver applications at scale but also ensure all of the attributes of a public cloud, which are higher levels of availability, self-healing and scale-up, scale-downing, able to turn on more storage, more memory so you weren't tied into the physical boundaries of a typical virtual machine. That really allowed us to sort of break the paradigm a little bit in terms of our approach. And the bet paid off, because we have a significant, almost 20,000 production clusters running across our enterprise clients today, so pretty significant footprint just on Kube alone. >> Well I can say and it gives clients the opportunity to have portability, hedges their bets, gives them an exit strategy if in fact they want one, and it just seems like good business. What about Open Shift, how does that fit in there in regards to OCP? >> Well I think Open Shift is a perfect complement right now. So as we talk about the fact that we have a cloud built on Kubernetes. Open Shift becomes the engine that runs all of our capabilities now. So as we think about how we deliver our services, how we deliver common sources whether it's logging or monitoring identity and access, all of the governance and orchestration required around a Kube environment, Open Shift is a terrific solution to be able to provide that at scale. Not just for our clients as a first class deployment in the public cloud but also as a look and deploy on prem so that they have multi-model deployments here with perhaps their applications that are very sensitive, that have PHI data, that they want to control on prem, they have that approach and they have the ability to be able to support it. They also have the ability to take advantage of strangler patterns, so parts of the application that sit, run perhaps in an Open Shift environment in the on prem environment with other aspects of it being controlled, orchestrated and run in the public cloud on our Red Hate Open Shift Kubernetes service. So we've got all of those attributes and capabilities to support that hybrid and even multicloud deployment. >> What if we get, sort of dive into security. You've seen this sort of interesting divergent narrative in the industry. On the one hand you've had executives like Pat Gelsinger come out and say security is broken. On the other hand you had, for instance, the CISO of AWS, say no security in the clouds great. So if you're a customer who do you believe? And you talk to CISO's and they say look it, it's on us, this problem will never be solved, it's an ongoing challenge. But I wonder if you could give us IBM's point of view on security, cause you're on both sides. You got the cloud, you got on prem, you got a deep history in security going back to Rack-F on the mainframes and so I wonder if you can share with us your thoughts on that. >> Well I think security is table stake, and always been table stakes and now more so than ever, especially as we look at that other 80% that we talked about. These are revenue generating applications, they're mission critical and they have significant impact if they're down in any way, shape or form, especially if there's a security attack of some kind and there's a breach. You're talking about businesses completely going out, I mean they're basically bankrupt at that point. So it is table stakes. We have taken a very long strategic look at how we build security, from the chip all the way up into the security architecture and into memory as well. Ensuring that every sort of attack vector is locked down. We have our dedicated HSM's with the highest FIPS, compliance FIPS 140-2 level four. As I mentioned before, we allow for keep your own key and bring your own key, everybody does bring your own key but keep your own key is a clients ability to bring and mange their own key in the public cloud. So if anybody tries to tamper with it, that just gets locked down and there's no access that even the provider could have in terms of decrypting. We have to get rid of that dedicated HSM at that point. So it really puts the control on our clients and ensures that every aspect of their environment from profiles to templates, you had mentioned CICD pipeline before, it's ensuring that we have a shift-left strategy which is really Sec DevOps because it really allows for us to focus on security in every interaction from the start of how code gets integrated and deployed into the cloud. So ensuring that we have that entire end to end approach nailed down is pretty important to us. >> One thing that's key if you're a CISO you don't want to have different security protocols for on prem and the cloud, you want that sort of end to end approach. Now maybe that doesn't happen overnight but presumably that's kind of the vision is that kind of consistency because every CISO will tell you the lack of skills is our biggest challenge. So the last thing we need to do is learn just a whole 'nother environment, all new processes. How have you made progress in terms of that end to end experience? >> Well we've tried to make it completely cloud native. We've tried to make it very API orientated. So it's basically really simple for them to integrate into the cloud and take advantage of the CICD pipeline as I mentioned. So if you look at how we deliver our code from a tekton perspective and if you look at how we can do signed images in the registry, so ensuring that developers are only authorized to run the appropriate applications that they have permission for and that they can't leverage other assets or pools that they're not. So ensuring that role-based access control is very tightly knit, ensuring least privileged access as opposed to opening up and ensuring that everybody has all access all the time and then working your way down into least privileged access is critical. So it's those core first principles that you would leverage in an on prem environment and extending it into the public cloud so that it becomes a very translatable experience for our client. >> Okay, I want to push you a little bit. We started out with openness and you sort of laid down the gauntlet as we made the decision early on to be open. What if I'm a security practitioner, I say hey I like Cloud Stripe or I like Okta or I want to use Zscaler. Can I use those in your environment? How open are you to that type of approach? >> You absolutely can and you can integrate into our security dashboard. So the nice thing about it is you can leverage our capabilities that we have in the cloud, or you can leverage your third-party tools and you can integrate them so you have a single plane of glass and you always know who's accessing your systems, where they're accessing them from, did they succeed or did they fail. This is table stakes allowing integration for best of class and best of breed security technology is core. >> So you're obviously cloud guy, the more cloud, better for you personally, your group, whatever. But what's the business case for moving those mission critical workloads in the cloud. Former CTO, I'm sure you've had a lot of discussions with customers, hey, why not just leave it there put a brick wall around it. It ain't broke, why fix it? What's the business case that you're seeing for putting those workloads in the cloud. >> I think the current healthcare crisis we're in is probably proving out a lot of the challenges of managing a data center in traditional sense, number one. And I think if you think about just the innovation agenda that many of our clients have, they're kind of hand strung by all of the legacy technologies and sometimes monolithic architectures that they've got deployed. They're unable to break out of that because of the amount of cost and the amount of resource it takes to manage those environments today and keep a lot of end of life infrastructure running. And really the move to public cloud and being able to transform and modernize your workloads frees up a lot of that budget in innovation that you can start to infuse into driving new revenue streams from a company perspective. I think that is the critical aspect to it and I think the current crisis just proves out that clients that have built for scale, who've kind of gone in with a cloud first set of principles are actually well setup to be able to navigate some of the current challenges a little bit better than others. >> Yeah and I think, listening to you talk reminds me of a conversation I had probably 10 years ago with a former IBMer legend, Steve Mills who said to me, look we spend way too much money on IT labor and it's just not productive so automation is key, you can't scale without it. I talked earlier about the skills gap, automation is at least one part of that answer. Because people just, to your point, if you're spending money on, wasting it on labor that's not giving you differentiation, that's stealing from the innovation budget. >> Yeah, totally agree Dave. >> So give me the final word, what's your vision for the IBM public cloud, where do you see all this in three to five years? >> Well I think we're just at the tip of the iceberg right now when it comes to a lot of the complex (murmurs) applications that we talked about before, ERP applications, mission critical back office apps that haven't moved and I think we are very, very early in that journey. And I think we're positioned really well to capture and win that marketplace. I think we have the right solutions, we have the right sort of core principles. As I mentioned open and secure and enterprise grade, having a multi-platform approach to support our clients applications, being able to modernize and kind of walk them through this crawl, walk, run approach to how they transform into the public cloud. And having all of the service expertise, so we're not just this CSP but we're also an MSP and we have sense around handling complex workload. We've done that all through our existence and we feel like this is where this starts to get interesting for our clients now as they take these next steps and as you probably heard last year with our announcement of the FFS ready public cloud with Bank of America. We're trying to bring all that together in terms of how we meet our client and ensure that we can take care of their regulatory requirements, which continue to change as well regardless of industry. >> Well it's a multi-trillion dollar, trillion plus dollar opportunity that you guys are after. And you're in the cloud game, a lot of people tried and failed, IBM made it through that knot hole and now you're in a position to really compete and participate in that modernization of those workloads. We've done research that shows that a lot of this, especially for the hard to move workloads is about risk, and to the extent that you can maintain that compatibility if you will, between what's on prem and what's in the cloud. You dramatically de-risk the cloud move and the decision, so yeah, I think you're in a good spot. And I really appreciate you coming on theCUBE. >> Hey Dave, thanks for having me. Appreciate it. >> All right, our please Aki. This is Dave Vellante for theCUBE, this is our continuous coverage of IBM Think 2020, the digital event experience. We'll be right back right after this short break. You're watching theCUBE. (calming music)
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Harish Grama, IBM | IBM Think 2020
from the cube studios in Palo Alto in Boston it's the cube covering the IBM thing brought to you by IBM we're back this is the cubes coverage of the IBM think 20/20 digital experience my name is Dave Volante is a wall-to-wall coverage over the multi-day event Harish promise here he's the general manager of the IBM public cloud rishi welcome back to the cube good to see you sorry we're not face to face but this will do yeah thank you great to see you again as well and you know it is the times what do you do you know I want to start by asking you you did a stint at a large bank I'd love to talk to you about that but but I want to stay focused you said last year on the cube you can't do everything in the public cloud certain things need to remain on Prem I'm interested in how your experience at the large financial institution and your experience generally working with you know your colleagues in in the banking industry how that shaped your vision of the IBM public cloud yeah I think that's a great question you know if you think about trying to transform yourself to a public cloud a lot of people what they try to do is you know they take applications that I've been running their enterprise and they try to redo them in its entirety with micro services using as level services I mean trying to put it all up in the public cloud now you know just think about some of these applications that are running your large institution right some of them will have regulatory ruled around it some of them have latency requirements or low latency requirements I should say some of them need to be close to the back end because that's where the data is so for all these reasons you know you have to think about a holistic cloud picture of which public cloud is you know integral to it but some of the things will need to remain on Prem right so when I build my public cloud out for IBM I kind of keep those in in the back of my mind as I get the team to work on it to ensure that we have the right capabilities on the public cloud and then where it makes sense you know have the right capabilities on the hybrid side as well working with my colleagues in IBM well you know the doc Ovid 19 pandemic that we've been talking to a lot of CISOs and CIOs we had a couple of roundtables with our data partner ETR and it was interesting you know organizations that maybe wouldn't have considered the cloud certainly as aggressively maybe they put some test dev in the cloud but you know have said well we're really reconsidering that one CIO actually said you know I'd love to delete my data center but but to your point you can't just delete the data center um first of all you don't want to necessarily move stuff second of all we've got a lot of experience from a consulting standpoint looking at this if you have to migrate migrates like an evil word especially with mission critical systems if you have to freeze code and you can't upgrade you know for some number of months you may be out of compliance or you're not remaining competitive so you have to really be circumspect and thoughtful with regard to what you do move I wonder if you could comment on that no I completely agree with what you're saying you know if you think about to your point right with Kovac things that really changed I've been speaking with a lot of cloud transformers I would say you know in the various industries but specifically with banks as well and the cloud leader for one of the large European banks said to me he said this was amazing because for four years he's been trying to get his he shows organization and risk and compliance etc to get their heads around moving applications to the cloud and he said that you know one month of kovat and having everyone locked down and home has been able to unblock more than what he's tried in the last four years so that's telling in itself right so look you know I've been working on public clouds for a good long time now both from a provider side as well as a consumer side and while you know you certainly just can't close your data centers that are running your large enterprise overnight you certainly can take a lot of stuff over there and move it to the public cloud in a meaningful fashion where you're able to take the pieces that really iterate more rapidly where you can get the end while keeping your data safe and you know being able to connect back into your back-end systems which will run a lot of your large processes in your enterprise as well so I think there is a balance to be had here and people especially banks I would say haven't been moving so much to the public cloud and I think this is the time where they're starting to realize that there is a time and place for a bunch of applications that can safely move and that gives them the agility and the productivity while everyone's locked at home and I think that's the eye opening so I'd love to have a frank conversation about why the IBM cloud I mean you know you got the the big guys you know Amazon Microsoft and Google maybe not as large people put them sort of in a category of hyper scalars great fair enough that people oftentimes dismiss you know the IBM public cloud however your point that you just made is critical and Ginni Rometty you was the first to kind of make this point Arvin's picked up on it that 80% of the workloads still are on trem and and it's that hard to move stuff that hasn't moved so and that's kind of IBM's wheelhouse I mean let's face it that the hard stuff it's the mission-critical you're kind of running the the banks and the insurance companies and the manufacturers and airlines around the world so what's the what's the case for the IBM cloud why the IBM cloud and why even move that stuff why not just leave it where it is yeah so I think there's a couple of answers here right one of them is the fact that when you talk to the hyper scalars and by the way I can't stress enough or a hyper scaler as well right people have taken a look at iCloud from about two plus years ago which you know at which point in time we were not but we certainly are and we can provision via size and so on and so forth as best as the best guys can so I want to just get that out of the way but to your point you know the reason why you would consider the IBM public cloud is when you talk to the other people they come at it from a very narrow perspective right they think about you know use vs is on x86 using cloud native pass services now you know I want to stress again that we do all three of those things extremely well but if you think about how large enterprises work nothing is as clean as that I did say there is a lot of applications that I've been running your institution that you can just willingly rewrite and then you have bare metal you'll have power systems whether it's AIX or I you'll have some Z in there Z Linux in there and then there's containers and then there's the VMware stack and there's containers running on bare metal containers running on vsi containers running on you know the VMware stack as well as the other architectures that I mentioned so we really meet our customers where they are in their journey and we give them a wide variety of capabilities and choices and flexibility to do their applications on the public cloud and that's what we mean by saying our cloud is enterprise ready as opposed to the nano answer of you'll do everything with vs is x86 and a service yeah I like that and I want to I want to circle back on that thank you for clarifying that point about hyper skills having said that it I've often said and I wonder if you could confirm or deny it's not IBM strategy to go head-to-head on cost per bit even though you you will you'll price it very competitively but your your game is to add value in other ways through your your very large software portfolio through AI things like blockchain and differentiable services that you can layer on top I've often made the point I think a lot of people don't understand that that insulates IBM from a race to the bottom with the alcohol traditional a cloud suppliers I wonder if you could comment yeah you know so I have to stress the point that just because I talk about all our other distinguishing capabilities that people don't walk away with the impression that we don't do what any of the other large cloud service providers do you know to your point we have AI we have IOT we've got a hundred ninety API driven cloud native pass services where you can write a cloud native application just like you build on the hyper scale other hyper scalars as well right so we give nothing away but for us the true value proposition here is to give you all of those capabilities in a very secure environment you know whether it is the fact that we are the only cloud where we don't have access to your data or your code because we have a keep your own key mechanism where we as a cloud service provider have no access to your key nobody else can say that so it is those Enterprise qualities of service and security that we bring to the table and the other architectures and the other you know constructs around bare metal and containers etc that distinguishes us further right and that's how it really so these are really important points that you're making and I know I'm kind of bringing out probably parts of the landscape that IBM generally doesn't want to talk about but I think it's important again to have that frank conversation because I think a lot of people misunderstand IBM is in the cloud game not only in the cloud game to your point but has very competitive you know from an infrastructure standpoint so many companies in the last decade we saw HP tried to get in they exited very quickly Joe to cheese's the CEO of EMC said we will be in the cloud you know they're buying mozi and you know exiting that so Dell right now doesn't you know it won't have a cloud play VMware tried to get in and now its course big partner of yours so you got in and that to me is critical just in terms of positioning for the next decade and beyond and and the other piece of differentiation that I want to drill into is the financial services cloud so what is that you obviously have a strong background there let's let's dig into that a little bit yeah if you look at the way most banks or actually every bank uses a public cloud is they build guardrail right they build guardrails from where their data center ends to where the public cloud begins but once you get into the public cloud then it really depends on the security that the cloud service providers provide and the csps will tell you that they have a lot of secure mechanisms there but if you ever speak with a bang you know they will never put their highly confidential data bearing apps with PII on a public cloud because they don't feel that the security that the cloud service providers provide is good enough for them to be able to put it there safely number one and number two prove to their regulators that they are in fact and compliant so what we've done is we work with a Bank of America and now you know a whole bunch of other banks that I'm not allowed to mention by name as yet where we're building a series of controls right these are both controls during your dev Sakharov cycle when you're building your app and another 400-plus controlled and the runtime that allow you is the bank to securely take your apps that have highly confidential data in III and put it on the public cloud and will give you the right things whether it's the isolation of the control plane and the data plane or it's their data loss prevention mechanisms the right auditing points the right logging points the right monitoring points the right reporting data sovereignty so we have controls built into the cloud that enable you to do all of this now banks will be quick to tell you that the onus of proof is on them alone to the regulators and we can claim that for them and they're absolutely right but today they spend hundreds of millions of dollars collecting all of that in providing that proof to the regulators you use our cloud we automate a whole bunch of that so you're not number one as a bank trying to implement these controls on a public cloud because that's not your job that's not your core expertise and number two when you actually build these compliance report you spending you know millions and millions of dollars trying to put it together whether compliance regulator will say yes this is okay we automate a large part of that for you and I think that's the key is the key issue we're solving you I want to follow up and just make sure I understand it is when I talk to executives in the financial services industry and other industries those they'll say things like look it's not that the cloud security is is bad it's just that I can't map the edicts of my organization into it certainly easily or even at all because I'm getting a sort of standard set of capabilities and it may not fit with what I need what I'm what I what I'm hearing is that IBM you know you guys are enterprise-c you used the specials but but so that's part of it but you also said you know they feel sometimes the cloud is that the security is not good enough and I want to understand what that is specifically if IBM is doing something differently so two things there one is your willingness whether it's auditability transparency mapping to corporate edicts and it may be other things that you're doing that make it better relative to go together yeah absolutely so one of the things is as I mentioned it's the mechanisms like keep your own key which is fundamental to building some of these compliance safeguards in but the the fundamental different thing we've done here is we work with the Bank of America and we've defined these controls to use your language that maps to their edicts right which should map to every banks edicts no you know there'll be a couple of extra controls here or there but largely they're all regulated by the same regulator so what satisfies one bang for the most part satisfies every other bank of the US as well right and so specifically what we've done is we've built those controls whether they are preventative controls or compensating controls in the CI CD pipeline as well as in the runtime on the cloud and that gives them a path to automation to produce the right results and the right reports to their auditors and that's really what we've helped them do so I know I'm pushing you here a little bit I'm gonna keep pushing if that's okay I was a great conversation when when IBM completed the acquisition of Red Hat you know the marketing was all about cloud cloud cloud and I came out and said yeah okay fine but what it's really about is application modernization that's the near-term opportunity for IBM you certainly saw that in the last earnings report where I think you're working with a hundred plus you know clients in terms of their application modernization so I said that is the way in which this thing becomes a creative which by the way it's already a creative and from a cash cash flow standpoint but but but but I'm gonna press you on on the cloud piece so talk about Red Hat and why it is cloud in terms of a cloud play yeah so you know this is the power of Red Hat and the IBM public cloud and of course Red Hat works or the other cloud print service providers as well so if you think about modernizing your application you know the industry pretty much has standardized around containers right as the best way to modernize their applications and those containers are orchestrated by kubernetes that's the orchestrator that's basically won the battle and Red Hat has OpenShift which is a industry-leading capability you know it's a coupon IDs control plane that manages containers and we from IBM we've put our content we've read backer a content into containers and we've made it run on an open ship and we have a cloud managed open ship server on the IBM public cloud as well as an on-prem that really helps bring our content to people who are trying to modernize their applications now think about an application that most people try to modernize you know the rough rule of thumb about 20 to 25 percent of it there's application code that is the onus is on the client to go and modernize that and they've chosen containers and turbidities and the other 75 to 80% arguably is middleware that they've got right and we've really tected in refactor that middleware into containers managed by open ship and we've done 80% of the work for them so that's how this whole thing comes together and you can run that on Prem you can run it on the IBM public cloud and I give you a cloud managed openshift service to do that effectively honor so that's interesting yeah that's very interesting I think there are you know probably at least three sort of foundational platforms one is obviously easy mainframe it's still much of IBM's customer base you know the tied to the Z and it drives all kinds of other software and so what the second is middleware to your point and you're saying you refactored and I think the third really is your choice of hybrid cloud strategy you kind of made the point you threw an on-prem it's to me it's that end-to-end that's your opportunity and your challenge if you can show people that look we've got this cloud-like experience of from cloud all the way to RM multi clouds that is a winning strategy it's jump ball right now nobody really owns that space and I think IBM's intent is to try to go after that I think you've called it a trillion-dollar market opportunity and it's obviously growing yes that's exactly right and the P spot so that I've been describing to you the you know the way people modernize our applications all fit very nicely into that now if you speak with the analysts they're going towards a whole different category called distributed cloud which basically means you know how do you bring these capabilities that run on your public cloud do on-prem and do other people's clouds and you know what I hinted at here is that's exactly where we're going with our set of capabilities and that is a technical journey I mean kubernetes is necessary but insufficient condition to have that sort of Nirvana of this distributed massive distributed system bring in edge edge systems as well so this is a you know at least a multi-year maybe even a decade-long journey there's a lot of work to be done there what would you say are their strategic imperatives for IBM cloud over the next several years so I think for us really it is you know building on this notion of the distributed cloud as I talked about it is you know fully building out the FSS cloud most of which we've already done and you know some of these things will never be at end of job because regulations keep changing and you keep adding to it and so you have to keep adding to it as well so a focus on FSS to begin with but then also to other industries as well right because there are other regulated industries here that can benefit from the same kind of automation that we're doing for FSS so we'll certainly do that and we're in a good position because it's not only our technology but it's our services practice it's a premonitory that deals with regulators etc so we have the whole package so we want to continue to build out on that branch into other industry verticals using our industry expertise across the board services product everything and then of course you know if there's one thing I BM has market permission for it is understanding the enterprise and building a secure product so we clearly want to evolve on that as well the IBM is a lot of arrows in its quiver including as we discuss cloud you know you just got to get her done as they say so iris thanks so much for coming to the cute great discussion appreciate your your transparency and and stay well Thank You YouTube thank you so much re welcome and thank you for watching everybody this is the cubes coverage of the IBM pink 2020 digital event experience we'll be right back right after this short break [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
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Breaking Analysis: IBM’s Future Rests on its Innovation Agenda
>> From the KIPP studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> IBM's new CEO has an opportunity to reset the direction of the company. Outgoing CEO Ginni Rometty, inherited a strategy that was put in place over two decades. It became fossilized in a lower-margin services-led model that she helped architect. Ginni spent a large portion of her tenure, shrinking the company so it could grow. But unfortunately, she ran out of time. For decades, IBM has missed opportunities to aggressively invest in the key waves that are now powering the tech economy. Instead, IBM really tried to balance investing innovation with placating Wall Street. We believe IBM has an opportunity to return to the Big Blue status that set the standard for the tech industry. But several things have to change, some quite dramatically. So we're going to talk about what it's going to take for IBM to succeed in this endeavor. Welcome to this special Wikibon CUBE Insights powered by ETR. In this breaking analysis, we're going to address our view of the future of IBM and try to accomplish three things. First, I want to review IBM's most recent earnings, the very first one under new CEO Arvind Krishna, and we'll discuss IBM's near-term prospects. Next, we'll look at how IBM got to where we are today. We want to review some of the epic decisions that it has made over the past several years and even decades. Finally, we'll look at some of the opportunities that we see for IBM to essentially remake itself and return to that tech titan that was revered by customers and feared by competitors. First, I want to look at the comments from new CEO Arvind Krishna. And let's try to decode them a bit. Arvind in the first earnings call that he held, and in interviews as well, and also internal memos, he's given some clues as to how he's thinking. This slide addresses a few of the key points. Arvind has clearly stated that he's committed to growing the IBM company, and of course, increasing its value. This is no surprise, as you know, every IBM CEO has been under pressure to do the same. And we'll look at that further a little later on in the segment. Arvind, also stated that he wants the company, he said it this way, "To lead with a technical approach." Now as we reported in January when Krishna was appointed to CEO. We're actually very encouraged that the IBM board chose a technical visionary to lead the company. Arvind's predecessors did not have the technical vision needed to make the bold decisions that we believe are now needed to power the company's future. As a technologist, we believe his decisions will be more focused on bigger tactical bets that can pay bigger returns, potentially with more risk. Now, as a point of just tactical commentary, I want to point out that IBM noted that it was doing well coming into the March month, but software deals especially came to a halt as customers focused on managing the pandemic and other parts of the business were okay. Now, this chart pulls some of the data from IBM's quarter. And let me make a few comments here. Now, what was weird here, IBM cited modest revenue growth on this chart, this was pulled from their slides. But revenue was down 2% for the quarter relative to last year. So I guess that's modest growth. Cloud revenue for the past 12 months, the trailing 12 months, was 22 billion and grew 23%. We're going to unpack that in a minute. Red Hat showed good growth, Stu Miniman and I talked about this last week. And IBM continues to generate a solid free cash flow. Now IBM, like many companies, they prudently suspended forward guidance. Some investors bristled at that, but I really have no problem with it. I mean, just way too much uncertainty right now. So I think that was a smart move by IBM. And basically, everybody's doing it. Now, let's take a look at IBM's business segments and break those down and make a few comments there. As you can see, in this graph, IBM's 17 plus billion dollar quarter comprises their four reporting segments. Cloud and cognitive software, which is, of course, its highest margin and highest growth business at 7%. You can see its gross margin is really, really nice. But it only comprises 30% of the pie. Services, the Global Business Services and GTS global technology services are low-growth or no growth businesses that are relatively low margin operations. But together they comprise more than 60% of IBM's revenue in the quarter and consistently throughout the last several years. Systems, by the way, grew nicely on the strength of the Z15 product cycles, it was up by 60% and dragged storage with it. But unfortunately power had a terrible quarter and hence the 4% growth. But decent margins compared to services of 50%. IBM's balance sheet looks pretty good. It took an advantage of some low rates recently and took out another $4 billion in corporate debt. So it's okay, I'm not too concerned about its debt related to the Red Hat acquisition. Now, welcome back to cloud at 22 billion for the past 12 months and growing at 23%. What, you say? That sounds very large, I don't understand. It's understandable that you don't understand. But let me explain with this next graphic. What this shows is the breakdown of IBM's cloud revenue by segment from fiscal year 19. As you can see, the cloud and cognitive segments, or segment which includes Red Hat comprises only 20% of IBM's cloud business. I know, kind of strange. Professional services accounts for 2/3 of IBM's Cloud revenue with systems at 14%. So look, IBM is defining cloud differently than most people. I mean, actually, that's 1% of the cloud business of AWS, Azure and Google Cloud come from professional services and on-prem hardware. This just doesn't have real meaning. And I think frankly, it hurts IBM's credibility as it hides the ball on cloud. Nobody really believes this number. So, I mean, it's really not much else I can say there. But look, why don't we bring in the customer angle, and let's look at some ETR data. So what this chart shows is the results of an ETR survey. That survey ran, we've been reporting on this, ran from mid March to early April. And more than 1200 respondents and almost 800 IBM customers are in there. If this chart shows the percentage of customers spending more on IBM products by various product segments that we chose with three survey samples April last year, January 2020, and the most recent April 2020 survey. So the good news here is the container platforms, OpenShift, Ansible, the Staples of Red Hat are showing strength, even though they're notably down from previous surveys. But that's the part of IBM's business that really is promising. AI and machine learning and cloud, they're right there in the mix, and even outsourcing and consulting and really across the board, you can see a pretty meaningful and respectable number or percent of customers are actually planning on spending more. So that's good, especially considering that the survey was taken right during the middle of the COVID-19 pandemic. But, if you look at the next chart, the net scores across IBM's portfolio, they're not so rosy. Remember, net score is a measure of spending momentum. It's derived by essentially subtracting the percent of customers that are spending less from those that are spending more. It's a nice simple metric. Kind of like NPS and ETR surveys, every quarter with the exact same methodology for consistency so we can do some comparisons over time series, it's quite nice. And you can see here that Red Hat remains the strongest part of IBM's portfolio. But generally in my experience as net scores starts to dip below 25% and kind of get into the red zone, that so called danger zone. And you can see many parts of IBM's portfolio are showing softness as we measure in net score. And even though you see here, the outsourcing and consulting businesses are up relative to last year, if you slice the data by large companies, as we showed you with Sagar Kadakia last week, that services business is showing deceleration, same thing we saw for Accenture, EY, Deloitte, etc. So here's the takeaway. Red Hat, of course, is where all the action is, and that's where IBM is going to invest in our opinion, and we'll talk a little bit more about that and drill into that kind of investment scenario a bit later. But what I want to do now is I want to come back to Arvind Krishna. Because he has a chance to pull off a Satya Nadella like move. Maybe it's different, but there are definite similarities. I mean, you have an iconic brand, a great company, that's in many technology sectors, and yes, there are differences, IBM doesn't have the recurring software revenue that Microsoft had, it didn't have the monopoly and PCs. But let's move on. Arvind has cited four enduring platforms for IBM, mainframes, services, middleware, and the newest hybrid cloud. He says that IBM must win the architectural battle for hybrid cloud. Now, I'm going to really share later what we think that means. There's a lot in that statement, including the role of AI in the edge. Both of which we'll address later on in this breaking analysis. But before we get there, I want to understand from a historical perspective where we think Arvind is going to take IBM. And to do that, we want to look back over the modern history of IBM, modern meaning of the post mainframe dominance era, which really started in 1993 when Louis Gerstner took over. Look, it's been well documented how Louis Gerstner pivoted into services. He wrote his own narrative with the book, "Who Says Elephants Can't Dance". And you know, look, you can't argue with his results. The graphic here shows IBM's rank in the fortune 500, that's the green line over time. IBM was sixth under Gerstner, today it's number 38. The blue area chart on the Insert, it shows IBM's market cap. Now, look, Gerstner was a hero to Wall Street. And IBM's performance under his tenure was pretty stellar. But his decision to pivot to services set IBM on a path that to this day marks company's greatest strength, and in my view, its greatest vulnerability. Name a product under the mainframes in which IBM leads. Again, middleware, I guess WebSphere, okay. But you know, IBM used to be the leader in the all important database market, semiconductors, storage servers, even PCs back in the day. So, I don't want to beat on this too much, I can say it's been well documented. And I said earlier, Ginni essentially inherited a portfolio that she had to unwind, and hence the steep revenue declines as you see here, and it's 'cause she had to jettison the so called non-strategic businesses. But the real issue is R&D, and how IBM has used it's free cash. And this chart shows IBM's breakdown of cash use between 2007 and 2019. Blue is cash return to shareholders, orange is research and development, and gray is CapEx. Now I chose these years because I think we can all agree that this was the period of tech defined by cloud. And you can see, during those critical early formative years, IBM consistently returned well over 50%, and often 60% plus of its free cash flow to shareholders in the form of dividends and stock buybacks. Now, while the orange appears to grow, it's because of what you see in this chart. The point is the absolute R&D spend really didn't change too much. It pretty much hovered, if you look back around 5 1/2 to $6 billion annually, the percentage grew because IBM's revenue declined. Meanwhile, IBM's competitors were spending on R&D and CapEx, what were they doing? Well, they were building up the cloud. Now, let me give you some perspective on this. In 2007 IBM spent $6.2 billion on R&D, Microsoft spent 7 billion that same year, Intel 5.8 billion, Amazon spent 800 million, that's it. Google spent 2.1 billion that year. And that same year, IBM returned nearly $21 billion to shareholders. In 2012 IBM spent $6.3 billion on R&D, Microsoft that year 9.8 billion, Intel 10 billion, Amazon 4.6 billion, less than IBM, Google 6.1 billion, about the same as IBM. That year IBM returned almost $16 billion to shareholders. Today, IBM spends about the same 6 billion on R&D, about the same as Cisco and Oracle. Meanwhile, Microsoft and Amazon are spending nearly $17 billion each. Sorry, Amazon 23 billion, and IBM could only return $7 billion to shareholders last year. So while IBM was returning cash to its shareholders, its competitors were investing in the future and are now reaping the rewards. Now IBM suspended its stock buybacks after the Red Hat deal, which is good, in my opinion. Buybacks have been a poor use of cash for IBM, in my view. Recently, IBM raised its dividend by a penny. It did this so it could say that it has increased its dividend 25 years in a row. Okay, great, not expensive. So I'm glad that that investors were disappointed with that move. But since 2007, IBM has returned more than $175 billion to shareholders. And somehow Arvind has to figure out how to tell Wall Street to expect less while he invests in the future. So let's talk about that a little bit. Now, as I've reported before, here is the opportunity. This chart shows data from ETR. It plots cloud landscape and is a proxy for multi-cloud and hybrid cloud. It plots net score or spending momentum on the y-axis, and market share, which really isn't market share, as we've talked about, it's a measure of pervasiveness in the data set, that's plotted on the x-axis. So, the point is, IBM has presence, it's pervasive in the marketplace, Red Hat and OpenShift, they have relevance, they have momentum with higher net scores. Arvind's opportunity is to really plug OpenShift into IBM's, large install base, and increase Red Hat's pervasiveness, while at the same time lifting IBM momentum. This, in my view, as Stu Miniman and I reported last week at the Red Hat Summit, puts IBM in a leading position to go after multi and hybrid cloud and the edge. So let's break that down a little bit further. When Arvind talks about winning the architectural battle for hybrid cloud, what does he mean by that? Here's our interpretation. We think IBM can create the de facto standard for cloud and hybrid cloud. And this includes on-prem, public cloud, cross clouds, or multi cloud, and importantly, the edge. Here's the opportunity, is to have OpenShift run natively, natively everywhere, on-premises in the AWS cloud, in the Azure Cloud, GCP, Alibaba, and the IBM Cloud and the Oracle Cloud, everywhere natively, so we can take advantage of the respective services within all those clouds. Same thing for on-prem, same thing for edge opportunities. Now I'll talk a little bit more about that in a moment. But what we're talking about here is the entire IT stack running natively, if I haven't made that point on OpenShift. The control plane, the security plane, the transport, the data management plane, the network plane, the recovery plane, every plane, a Red Hat lead stack with a management of resources is 100% identical, everywhere the same cloud experience. That's how IBM is defining cloud. Okay, I'll give them a mulligan on that one. IBM can be the independent broker of this open source standard covering as many use cases and workloads as possible. Here's the rub, this is going to require an enormous amount of R&D. Just think about all the startups that are building cloud native services and imagine IBM building or buying to fill out that IT stack. Now I don't have enough time to go in too deep to all other areas, but I do want to address the edge, the opportunity there and weave in AI. Beyond what I said above, which I want to stress, the points I made above about hybrid, multi-cloud include edge, the edge is a huge opportunity. But IBM and in many other, if not most other traditional players, we think are kind of missing the boat on that. I'll talk about that in a minute. Here's the opportunity, AI inference is going to run at the edge in real-time. This is going to be incredibly challenging. We think about this, a car running inference AI generates a billion pixels per second today, in five years, it'll be 15 times that. The pressure for real-time analysis at the edge is going to be enormous, and will require a new architecture with new processing models that are likely going to be ARM-based in our opinion. IBM has the opportunity to build end-to-end solutions powered by Red Hat to automate the data pipeline from factory to data center to cloud and everywhere. Anywhere there's instruments, IBM has an opportunity to automate them. Now rather than toss traditional Intel-based IT hardware over the fence to the edge, which is what IBM and most people are doing right now, IBM can develop specialized systems and make new silicon investments that can power the edge with very low cost and efficient systems that process data in real-time. Hey look, I'm out of time, but some other things I want you to consider, IBM transitioning to a recurring revenue model. Interestingly, Back to the Future, right? IBM used to have a massive rental revenue stream before it converted that base to sales. But if Arvind can recreate a culture of innovation and win the day with developers via its Red Hat relationships, as I said recently, he will be CEO of the decade. But he has to transform the portfolio by investing more in R&D. He's got to convince the board to stop pouring money back to investors for a number of years, not just a couple of quarters and do Whatever they have to do to protect the company from corporate raiders. This is not easy, but with the right leader, IBM, a company that has shown resilience through the decades, I think it can be done. All right, well, thanks for watching this episode of the Wikibon CUBE Insights powered by ETR. This is Dave Vellante. And don't forget, these episodes are available as podcasts, wherever you listen, I publish weekly on siliconangle.com, where you'll find all the news, I publish on wikibon.com which is our research site. Please comment on my LinkedIn posts, check out etr.plus, that's where all the data lives. And thanks for watching everybody. This is Dave Vellante for Breaking Analysis, we'll see you next time. (soft music)
SUMMARY :
From the KIPP studios Here's the rub, this is going to require
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Red Hat Summit Keynote Analysis | Red Hat Summit 2020
from around the globe it's the cube with digital coverage of Red Hat summit 2020 brought to you by Red Hat last year in 2019 IBM made the biggest M&A move of the year with a 34 billion dollar acquisition of red hat it positioned IBM for the next decade after what was a very tumultuous tenure by CEO Ginni Rometty who had to shrink in order to grow unfortunately she didn't have enough time to do the grille part that has now gone toward Arvind Krishna the new CEO of IBM this is Dave Volante and I'm here with Stu minimun and this is our Red Hat keynote analysis is our 7th year doing the Red Hat summit and we're very excited to be here this is our first year doing Stu the Red Hat summit post IVM acquisition we've also got IBM think next week so what we want to do for you today is review what's going on at the Red Hat summits do you've been wall-to-wall with the interviews we're gonna break down the announcements IBM had just announced its quarter so we get some glimpse as to what's happening in the business and then we're gonna talk about going forward what the prognosis is for both IBM and Red Hat well and Dave of course our audience understands there's a reason why we're sitting farther apart than normal in our studio and you know why we're not in San Francisco where the show is supposed to be this year last year it's in Boston Red Hat summit goes coast-to-coast every year it's our seventh year doing the show first year doing it all digital of course our community is always online but you know real focus you know we're gonna talk about Dave you know you listen to the keynote speeches it's not the as we sit in our preview it's not the hoopla we had a preview with pork or mayor ahead of the event where they're not making big announcements most of the product pieces we're all out front it's open source anyway we know when it's coming for the most part some big partnership news of course strong customer momentum but a different tenor and the customers that Red Hat's lined up for me their interview all talking you know essential services like medical your your energy services your communication services so you know real focus I think Dave both IBM and right making sure that they are setting the appropriate tone in these challenging times yeah I mean everybody who we talked to says look at the employees and safety comes first once we get them working from home and we know that they're safe and healthy we want to get productive and so you've seen as we've reported that that shift to the work from home infrastructure and investments in that and so now it's all about how do we get closer to clients how do we stay close to clients and be there for them and I actually have you know business going forward you know the good news for IBM is it's got strong cash flow it's got a strong balance sheet despite you know the acquisition I mean it's just you know raise some more you know low low cost debt which you know gives them some dry powder going forward so I think IBM is gonna be fine it's just there's a lot of uncertainty but let's go back to your takeaways from the Red Hat Summit you've done you know dozens of interviews you got a good take on the company what are you top three takeaways - yeah so first of all Dave you know the focus everybody has is you know what does Red Hat do for the cloud story for IBM OpenShift especially is absolutely a highlight over 2,000 customers now from some really large ones you know last year I interviewed you know Delta you've got you know forward and Verizon up on stage for the keynote strong partnership with Microsoft talking about what they're doing so OpenShift has really strong momentum if you talk about you know where is the leadership in this whole kubernetes space Red Hat absolutely needs to be in that discussion not only are they you know other than Google the top contributor really there but from a customer standpoint the experience what they've built there but what I really liked from Red Hat standpoint is it's not just an infrastructure discussion it's not OPM's and containers and there's things we want to talk about about VMs and containers and even server lists from Red Hat standpoint but Red Hat at its core what it is it they started out as an operating system company rel Red Hat Enterprise Linux what's the tie between the OS and the application oh my god they've got decades of experience how do you build applications everything from how they're modernizing Java with a project called Korkis through how their really helping customers through this digital transformation I hear a similar message from Red Hat and their customers that I hear from Satya Nadella at Microsoft is we're building lots of applications we need to modernize what they're doing in Red Hat well positioned across the stack to not only be the platform for it but to help all of the pieces to help me modernize my applications build new ones modernize some of the existing ones so OpenShift a big piece of it you know automation has been a critical thing for a while we did the cube last year at ansible fest for the first time from Red Hat took that acquisition has helped accelerate that community in growth and they're really Dave pulling all the pieces together so it's what you hear from Stephanie shirasu ironically enough came over from IBM to run that business inside a Red Hat well you know now she's running it inside Red Hat and there's places that this product proliferate into the IBM portfolio next week when we get where it I didn't think I'm sure we'll hear a lot about IBM cloud packs and look at what's underneath IBM cloud packs there's open shift there's rel all those pieces so you know I know one of the things we want to talk about Davis you know what does that dynamic of Red Hat and IBM mean so you know open shift automation the full integration both of the Red Hat portfolio and how it ties in with IBM would be my top three well red hat is now IBM I mean it's a clearly part of the company it's there's a company strategy going forward the CEO Arvind Krishna is the architect of the Red Hat acquisition and so you know that it's all in on Red Hat Dave I mean just the nuance there of course is the the thing you hear over and over from the Red Hatters is Red Hat remains Red Hat that cultural shift is something I'd love to discuss because you know Jim Whitehurst now he's no longer a Red Hat employee he's an IBM employee so you've got Red Hat employees IBM employees they are keeping that you know separation wall but obviously there's flowing in technology and come on so come on in tech you look at it's not even close to what VMware is VMware is a separate public company has separate reporting Red Hat doesn't I mean yes I hear you yo you got the Red Hat culture and that's good but it's a far cry from you know a separate entity with full transparency the financials and and so I I hear you but I'm not fully buying it but let's let's get into it let's take a look at at the quarter because that I think will give us an indication as to how much we actually can understand about RedHat and and again my belief is it's really about IBM and RedHat together I think that is their opportunity so Alex if you wouldn't mind pulling up the first slide these are highlights from IBM's q1 and you know we won't spend much time on the the the IBM side of the business although we wanted to bring some of that in but hit the key here as you see red hat at 20% revenue growth so still solid revenue growth you know maybe a little less robust than it was you know sequentially last quarter but still very very strong and that really is IBM's opportunity here 2,200 clients using red hat and an IBM container platforms the key here is when Ginni Rometty announced this acquisition along with Arvind Krishna and Jim Whitehurst she said this is going to be this is going to be cash flow free cash flow accretive in year one they've already achieved that they said it's gonna be EPS accretive by year two they are well on their way to achieving that why we talked about this do it's because iBM has a huge services organization that it can plug open shift right into and begin to modernize applications that are out there I think they cited on the call that they had a hundred ongoing projects and that is driving immediate revenue and allows IBM to from a financial standpoint to get an immediate return so the numbers are pretty solid yeah absolutely Dave and you know talking about that there is a little bit of the blurring a line between the companies one of the product pieces that came out at the show is IBM has had for a couple of years think you know MCM multi cloud management there was announced that there were actually some of the personnel and some of the products from IBM has cut have come into Retta of course Red Hat doing what they always do they're making it open source and they're it's advanced cluster management really from my viewpoint this is an answer to what we've seen in the kubernetes community for the last year there is not one kubernetes distribution to rule them all I'm going to use what my platforms have and therefore how do I manage across my various cloud environments so Red Hat for years is OpenShift lives everywhere it sits on top of VMware virtualization environments it's on top of AWS Azure in Google or it just lives in your Linux farms but ACM now is how do I manage my kubernetes environment of course you know super optimized to work with OpenShift and the roadmap as to how it can manage with Azure kubernetes and some of the other environments so you know you now have some former IBM RS that are there and as you said Dave some good acceleration in the growth from the Red Hat numbers we'd seen like right around the time that the acquisition happened Red Hat had a little bit of a down quarter so you know absolutely the services and the the scale that IBM can bring should help to bring new logos of course right now Dave with the current global situation it's a little bit tough to go and be going after new business yeah and we'll talk about that a little bit but but I want to come back to sort of when I was pressing you before on the trip the true independence of Red Hat by the way I don't think that's necessarily a wrong thing I'll give an example look at Dell right now why is Dell relevant and cloud well okay but if Dell goes to market says we're relevant in cloud because of VMware well then why am I talking to you why don't I talk to VMware and so so my point is that that in some regards you know having that integration is there is a real advantage no you know you were that you know EMC and the time when they were sort of flip-flopping back and forth between integrated and not and separate and not it's obviously worked out for them but it's not necessarily clear-cut and I would say in the case of IBM I think it's the right move why is that every Krista talked about three enduring platforms that IBM has developed one is mainframe that's you know gonna here to stay the second was middleware and the third is services and he's saying that hybrid cloud is now the fourth and during platform that they want to build well how do they gonna build that what are they gonna build that on they're gonna build that an open shift they they're there other challenges to kind of retool their entire middleware portfolio around OpenShift not unlike what Oracle did with with Fusion when it when it bought Sun part of the reason - pod Sun was for Java so these are these are key levers not necessarily in and of themselves you know huge revenue drivers but they lead to awesome revenue opportunities so that's why I actually think it's the right move that what IBM is doing keep the Red Hat to the brand and culture but integrate as fast as possible to get cash flow or creative we've achieved that and get EPS accretive that to me makes a lot of sense yeah Dave I've heard you talk often you know if you're not a leader in a position or you know here John Chambers from Cisco when he was running it you know if I'm not number one or number two why am I in it how many places did IBM have a leadership position Red Hat's a really interesting company because they have a leadership position in Linux obviously they have a leadership position now in kubernetes Red Hat culturally of course isn't one to jump up and down and talk about you know how they're number one in all of these spaces because it's about open source it's about community and you know that does require a little bit of a cultural shift as IBM works with them but interesting times and yeah Red Hat is quietly an important piece of the ecosystem let me let me bring in some meteor data Alex if you pull up that that's that second slide well and I've shown this before in braking analysis and what this slide shows in the vertical axis shows net score net score is a measure of spending momentum spending velocity the the horizontal axis is is is called market share it's really not market share it's it's really a measure of pervasiveness the the mentions in the data set we're talking about 899 responses here out of over 1200 in the April survey and this is a multi cloud landscape so what I did here Stu I pulled on containers container platforms of container management and cloud and we positioned the companies on this sort of XY axis and you can see here you obviously have in the upper right you've got Azure in AWS why do I include AWS and the multi cloud landscape you answered that question before but yesterday because Dave even though Amazon might not allow you to even use the word multi cloud you can't have a discussion of multi cloud without having Amazon in that discussion and they've shifted on hybrid expect them to adjust their position on multi-cloud in the future yeah now coming back to this this this data you see kubernetes is on the kubernetes I know is another company but ETR actually tracks kubernetes you can see how hot it is in terms of its net score and spending momentum yeah I mean Dave do you know the thing the the obvious thing to look at there is if you see how strong kubernetes is if IBM plus red hat can keep that leadership in kubernetes they should do much better in that space than they would have on with just their products alone and that's really the lead of this chart that really cuts to the chase do is you see you see red Red Hat openshift has really strong spending momentum although I will say if you back up back up to say April July October 18 19 it actually was a little higher so it's been pushed down remember this is the April survey that what's ran from mid-march to mid April so we're talking right in the middle of the pandemic okay so everybody's down but nonetheless you can see the opportunity is for IBM and Red Hat to kind of meet in the middle leverage IBM's massive install base in its in its services presence in its market presence its pervasiveness so AKA market share in this rubric and then use Red Hat's momentum and kind of meet in the middle and that's the kind of point that we have here with IBM's opportunity and that really is why IBM is a leader in at least a favorite in my view in multi cloud well Dave if you'd look two years ago and you said what was the competitive landscape Red Hat was an early leader in the kubernetes you know multi-cloud discussion today if you ask everybody well who's doing great and kubernetes you have to talk about all the different options that amazon has Amazon still has their own container management with ACS of course IKS is doing strong and well and Amazon whatever they do they we know they're going to be competitive Microsoft's there but it's not all about competition in this space Dave because you know we see Red Hat partnering across these environments they do have a partnership with AWS they do have you know partnership with you know Microsoft up on stage there so where it was really interesting Dave you know one of the things I was coming into this show looking is what is Red Hat's answer to what VMware is really starting to do in this space so vSphere 7 rolled out and that is the ga of project Pacific so taking virtualization in containers and putting them together Red Hat of course has had virtualization for a long time with KVM they have a different answer of how they're doing openshift virtualization and it rather than saying here's my virtual environment and i can also do kubernetes on it they're saying containers are the future and where you want to go and we can bring your VMs into containers really shift them the way you have really kind of a lift and shift but then modernize them Dave customers are good you know you want to meet customers where they are you want to help them move forward virtualization in general has been a you don't want to touch your applications you want to just you know let it ride forever but the real the real driver for companies today is I've got to build new apps I need to modernize on my environment and you know Red Hat is positioning and you know I like what I'm hearing from them I like what I'm hearing from my dad's customers on how they're helping take both the physical the virtual the containers in the cloud and bring them all into this modern era yeah and and you know IBM made an early bet on on kubernetes and obviously around Red Hat you could see actually on that earlier slide we showed you IBM we didn't really talk about it they said they had 23% growth in cloud which is that they're a twenty two billion dollar business for IBM you're smiling yeah look good for IBM they're gonna redefine cloud you know let AWS you know kick and scream they're gonna say hey here's how we define cloud we include our own pram we include Cano portions of our consulting business I mean I honestly have no idea what's in the 22 billion and how if they're growing 22 billion at 23% wow that's pretty awesome I'm not sure I think they're kind of mixing apples and oranges there but it makes for a good slide yeah you would say wait shouldn't that be four billion you added he only added two or three billion you know numbers can tell a story but you can also manipulate but the point is the point is I've always said this near term the to get you know return on this deal it's about plugging OpenShift into services and modernizing applications long term it's about maintaining IBM and red-hats relevance in the hybrid cloud world which is I don't know how big it is it's a probably a trillion-dollar opportunity that really is critical from a strategy standpoint do I want to ask you about the announcements what about any announcements that you saw coming from Red Hat are relevant what do we need to know there yeah so you know one of the bigger ones we already talked about that you know multi cloud manager what Red Hat has the advanced cluster management or ACM absolutely is an era an area we should look VMware Tong's ooh Azure Ark Google anthos and now ACM from Red Hat in partnership with IBM is an area still really early Dave I talked to some of the executives in the space and say you know are we going to learn from the mistakes of multi vendor management Dave you know you think about the CA and BMC you know exactly of the past will we have learned for those is this the right way to do it it is early but Red Hat obviously has a position here and they're doing it um did hear plenty about how Red Hat is plugging into all the IBM environments Dave Z power you know the cloud solutions and of course you know IBM solutions across the board my point of getting a little blue wash but hey it's got to happen I think that's a smart move right you know we talked about you know really modernizing the applications in the environments I talked a bit about the virtualization piece the other one if you say okay how do I pull the virtualization forward what about the future so openshift serverless is the other one it's really a tech preview at this point it's built off of the K native project which is part of the CNC F which is basically how do I still have you know containers and kubernetes underneath can that plug into server list order server let's get it rid of it everything so IBM Oracle Red Hat and others really been pushing hard on this Kay native solution it is matured a lot there's an ecosystem growing as how it can connect to Asher how it can connect to AWS so definitely something from that appdev piece to watch and Dave that's where I had some really good discussions with customers as well as the the Red Hat execs and their partners that boundary between the infrastructure team and the app dev team they're hoping to pull them together and some of the tooling actually helps ansible is a great example of that in the past but you know others in the portfolio and lastly if you want to talk a huge opportunity for Red Hat IBM and it's a jump ball for everyone is edge computing so Red Hat I've talked to them for years about what they were doing in the opened stack community with network function virtualization or NFV Verizon was up on stage I've got an interview for Red Hat summit with Vodafone idea which has 300 million subscribers in India and you know the Red Hat portfolio really helping a lot of the customers there so it's the telco edge is where we see a strong push there it's definitely something we've been watching from the you know the big cloud players and those partnerships Dave so you know last year Satya Nadella was up on the main stage with Red Hat this year Scott Guthrie you know there he's at every Microsoft show and he's not the red head show so it is still ironic for those of us that have watched this industry and you say okay where are some of the important partnerships for Red Hat its Microsoft I mean you know we all remember when you know open-source was the you know evil enemy for from Microsoft and of course Satya Nadella has changed things a lot it's interesting to watch I'm sure we'll talk more at think Dave you know Arvind Krishna the culture he will bring in with the support of Jim Whitehurst comes over from IBM compared to what Satya has successfully done at Microsoft well let's talk about that let's let's talk about let's bring it home with the sort of near-term midterm and really I want to talk about the long term strategic aspects of IBM and Red Hat's future so near-term IBM is suspended guidance like everybody okay they don't have great visibility some some some things to watch by the way a lot of people are saying no just you know kind of draw draw a red line through this quarter you just generally ignore it I disagree look at cash flow look balance sheets look at what companies are doing and how they're positioning that's very important right now and will give us some clues and so there's a couple of things that we're watching with IBM one is their software business crashed in March and software deals usually come in big deals come in at the end of the quarter people were too distracted they they stopped spending so that's a concern Jim Cavanaugh on the call talked about how they're really paying attention to those services contracts to see how they're going are they continuing what's the average price of those so that's something that you got to watch you know near-term okay fine again as I said I think IBM will get through this what really I want to talk about to do is the the prospects going forward I'm really excited about the choice that IBM made the board putting Arvind Krishna in charge and the move that he made in terms of promoting you know Jim Whitehurst to IBM so let's talk about that for a minute Arvind is a technical visionary and it's it's high time that I VM got back to it being a technology company first because that's what IBM is and and I mean Lou Gerstner you know arguably save the company they pivoted to services Sam Palmisano continue that when Ginny came in you know she had a services heritage she did the PWC deal and IBM really became a services company first in my view Arvind is saying explicitly we want to lead with technology and I think that's the right move of course iBM is going to deliver outcomes that's what high-beams heritage has been for the last 20 years but they are a technology company and having a technology visionary at the lead is very important why because IBM essentially is the leader prior to Red Hat and one thing mainframes IBM used to lead in database that used to lead in storage they used to lead in the semiconductors on and on and on servers now they lead in mainframes and and now switch to look at Red Hat Red Hat's a leader you know they got the best product out there so I want you to talk about how you see that shift to more of a sort of technical and and product focus preserving obviously but your thoughts on the move the culture you're putting Jim as the president I love it I think it was actually absolutely brilliant yeah did Dave absolutely I know we were excited because we you know personally we know both of those leaders they are strong leaders they are strong technically Dave when I think about all the companies we look at I challenge anybody to find a more consistent and reliable pair of companies than IBM and Red Hat you know for years it was you know red hat being an open-source company and you know the way their business model said it it's not the you know Evan flow of product releases we know what the product is going to be the roadmaps are all online and they're gonna consistently grow what we've seen Red Hat go from kind of traditional software models to the subscription model and there are some of the product things we didn't get into too much as to things that they have built into you know Red Hat Enterprise Linux and expanding really their cloud and SAS offerings to enhance those environments and that that's where IBM is pushing to so you know there's been some retooling for the modern era they are well positioned to help customers through that you know digital transformation and as you said Dave you and I we both read the open organization by Jim lighters you know he came in to Red Hat you know really gave some strong leadership the culture is strong they they have maintained you know really strong morale and I talked to people inside you know was their concern inside when IBM was making the acquisition of course there was we've all seen some acquisitions that have gone great when IBM has blue washed them they're trying to make really strong that Red Hat stays Red Hat to your point you know Dave we've already seen some IBM people go in and some of the leadership now is on the IBM side so you know can they improve the product include though improve those customer outcomes and can Red Hat's culture actually help move IBM forward you know company with over a hundred years and over 200,000 employees you'd normally look and say can a 12,000 person company change that well with a new CEO with his wing and you know being whitehurst driving that there's a possibility so it's an interesting one to watch you know absolutely current situations are challenging you know red hats growth is really about adding new logos and that will be challenged in the short term yeah Dave I I love you shouldn't let people off the hook for q2 maybe they need to go like our kids this semester is a pass/fail rather than a grid then and then a letter grade yeah yeah and I guess my point is that there's information and you got to squint through it and I think that look at to me you know this is like Arvin's timing couldn't be better not that he orchestrated it but I mean you know when Ginny took over I mean was over a hundred million a hundred billion I said many times that I beams got a shrink to grow she just ran out of time for the Gro part that's now on Arvind and I think that so he's got the cove in mulligan first of all you know the stocks been been pressured down so you know his tenure he's got a great opportunity to do with IBM in a way what such an adela did is doing at Microsoft you think about it they're both deep technologists you know Arvind hardcore you know computer scientist Indian Institute of Technology Indian Institute of Technology different school than Satya went to but still steeped in in a technical understanding a technical visionary who can really Drive you know product greatness you know in a I would with with Watson we've talked a lot about hybrid cloud quantum is something that IBM is really investing heavily in and that's a super exciting area things like blockchain some of these new areas that I think IBM can lead and it's all running on the cloud you know look IBM generally has been pretty good with acquisitions they yes they fumbled a few but I've always made the point they are in the cloud game IBM and Oracle yeah they're behind from a you know market share standpoint but they're in the game and they have their software estate in their pass a state to insulate them from the race to the bottom so I really like their prospects and I like the the organizational structure that they put in place in it by the way it's not just Arvind Jim you mentioned Paul Cormier you know Rob Thomas has been been elevated to senior VP really important in the data analytic space so a lot of good things going on there yeah and Dave one of the questions you've been asking and we've been all talking to leaders in the industry you know what changes permanently after the this current situation you know automation you know more adoption of cloud the importance of developers are there's even more of a spotlight on those environments and Red Hat has strong positioning in that space a lot of experience that they help their customers and being open source you know very transparent there I both IBM and Red Hat are doing a lot to try to help the community they've got contests going online to you know help get you know open source and hackers and people working on things and you know strong leadership to help lead through these stormy weathers so Stuart's gonna be really interesting decade and the cube will be here to cover it hopefully hopefully events will come back until they do will be socially responsible and and socially distant but Stu thanks for helping us break down the the red hat and sort of tipping our toe into IBM more coverage and IBM think and next week this is Dave alotta for Stu minimun you're watching the cube and our continuous coverage of the Red Hat summit keep it right there be back after this short break you [Music]
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Marten Mickos, HackerOne | CUBE Conversation, April 2020
>> Woman's Voice: From the CUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hey, welcome back already. Jeff Rick here, with theCUBE. We're having Palo Alto studios, during these kind of crazy times and really taking a moment with the time that we have to reach out to some of the leaders in our community, to give us some insight, to give us some advice, to share their knowledge about some of the things that are going on and some of the specific challenges that really the coronavirus and the COVID 19 situation are causing for all of us. So, we're really excited to have a CUBE alumni, haven't talked to him for a couple of years. Joining us from his house, he's Marten Mickos, the CEO of Hacker One. Marten, great to see you. >> Good to see you, Jeff. Good to be back. Thank you. >> So first off, just a quick check in. How are you doing? How things going at Hacker One? How's the team doing? How are you guys kind of getting through this time of difficulty? >> Well, we are fortunate in our company that we have a business that may be doing even better in these times, because we do security don't need to go into the office and we do it in a distributed way. And so, all of that is wonderful for the company. We do have our first positive case of COVID 19 in the company. He is now fully recovered after a few weeks. He's back at work. So, it means it came pretty close to us and we have others who might be in the danger zone. But overall, we are doing very well and paying a lot of attention on health and staying safe and working from home and making sure we don't take risk because these are serious things that we shouldn't play with. >> Yes. Well, I'm glad to hear that, that person is recovering. And I think April is the month of six degrees of separation where all of us are going to know someone or someone who knows someone who's got this thing, is it? The curves, unfortunately, are still going up in the United States. So, I don't think that's going to change. But, on a lighter note, one of the reasons I wanted to reach out to you is you've got a long history of working with distributed companies. This COVID thing is kind of a forcing function around work from home and it never fails to amaze me how many people are on their first Zoom, and they don't even know what WebEx is, and they've never heard of Skype. And I think we get spoiled in the tech world. We use these tools all the time. But this is a forcing function. It's at the grade schools, the middle schools, the high schools, besides just regular companies. So, when you were running MySQL, back in the day, you had a distributed company, not only across buildings, but across oceans and continents. So, I wonder if you can share kind of, did that start that way? Did you move into that way? Kind of what are some of the early days as you move from everybody in the office to more of a distributed network? >> Yeah, it did start that way at MySQL back in Scandinavia. And I joined. There were 12 people, everybody working from home. The CTO lived just half an hour away from me, but we never saw each other. I worked from home, he worked from home. And I remember when I as the new CEO said that, hey, we will need an office. We need a headquarters where we can have meetings and archives or contracts and stuff. And he said, no office, over my dead body. It will kill the company culture. That was the view >> Why! >> Of the founder. >> That is so progressive. Where did that view come from, Cause that is certainly was not the kind of standard thinking. >> It was weird. It was back in, that was the year 2000, and they had developed a way of working with open source contributors all over the world, over email and IRC back then, which is a predecessor to slack you could say. And they just developed that method of working together and making sure everything is digital, everything is written down. You are honest and forthright in writing as well. So it worked beautifully and they didn't like offices. We ended up having offices and we had many people working from the office but there was nowhere, at no time was it more than 30% of our headcount of about 500 people who work from an office. 70% work from home in 32 different countries across 16 time zones. >> Wow, that's very, very distributed. So, in getting ready for this, I saw some other interviews that you've done and some other conversations on the topic. And one of the things that you brought up that I think is really topical is that this is really more of a mental challenge than really a physical challenge. The tools are there, we have internet, we're very fortunate that way. Didn't have these things in 2000, like we do today. But you talked about the mental challenge, both from a leadership perspective, as well as maybe from the employee perspective. I wonder if you can dig into that a little deeper as you kind of look at your peers that are treading into unchartered waters, if you will. >> Well, I think it's a transition where you become one with the media, like with your laptop or whatever you're looking at and you sort of you invest yourself in what you have in front of you and you give off all of yourself into it. Just like, if somebody is taking a portrait of you with a camera, you have to sort of love the camera and show yourself to the camera for the portrait to be really, really good. Like that's what great photographers do. They get you to open up, even though it's a machine and not another human being. And we have to develop this skill digitally to sit in front of a laptop or a phone or something, and be our whole genuine selves, showing all dimensions and aspects of our personality. Because we don't realize it but when you go to an office, people are paying attention to how you walk, where you stop, what you look like, whether you look angry or happy, whether you look tired or not, when you go to the restroom, when you don't, like who knows all these things that people pay attention to that give away how you feel and how you are. And then somebody may come and say, Hey, Jeff seems to be in a bad mood today or Jeff seems to be in a good mood today. And those are vital functions of a group that works together. So, you must allow the digital world to have the same. You have to bring that part of yourself into the digital reality and sort of open up. And people make the mistake that they just bring their professional selves. They just say, okay, what's the task? What's the work? Let's agree on something, let's listen to everybody. And they don't reserve room for the social side and showing who you are. Because people won't ultimately trust you until they know that you are a human being and you have weaknesses and vulnerabilities and you can be silly and sometimes you look good, and sometimes you don't look good, and sometimes you are to your advantage, and sometimes you aren't. And until you have covered the whole range of your own expressions, you're not believable. >> Yeah. Another topic that came up is measurement, right? In KPIs, and how do you measure people's performance? It wasn't that long ago that Ginni Rometty at IBM came out and said, we don't want remote workers anymore. We want everybody to come check into the office. Well, that's changed a little bit. But, you mentioned that, we're so used to measuring things the way that we've always measured in the past. Are they there at eight? Do they stay till five or six? Do they look busy, as opposed to really focusing on outputs? And you talked about really shifting your mindset with a distributed workforce to make sure you're focusing on the right outcomes, not necessarily focusing on the things that maybe, as you said, as much as subconsciously, you're paying attention to as much as anything. >> It's so easy to fake it in an office. >> I love that. >> You go in there, you look busy and people think you're amazing. But when you work from home, the only thing you have to show for is your work results. So, it becomes much more objective. And of course, you have to create metrics that can be tracked in a way that others can understand what you're doing. But it actually makes it more straightforward because you can't fake it. >> Right. >> The only thing you can be measured by is what you're actually producing. >> It's got to be interesting when we come out of this, right? Cause there's a lot of psychology done around habits and how things become habits. And the way things become habits is you do them for a while, in sequence repeatedly and then that becomes kind of part of your routine. And before, even here at theCUBE, right? Remote interviews were probably, I don't know, 5% of our total output. And now they're going to be 100% for the foreseeable future. So, as you look at kind of people that are new to this, world of remote learning and remote working, it's going to be wild after they do this for a couple weeks hopefully get into the habit, to then, as you said in some prior things, this becomes the new normal and go into the office is the once every so often, when we actually have to have a big team meeting or some specific events. So you think this is going to probably be that tipping point till this becomes the new normal. >> I do think so. I think it will flip so that now, you may think that you and I are having a virtual conversation and it would be a real conversation, if we were in the same room. That will flip. Soon, this will be the real conversation. And if we meet in person, then it's an anomaly, and that's the virtual thing. >> Right. >> Because most of the time, we will connect like this and we will figure out ways to understand each other and know whether we can trust each other and sort of all these things will evolve on the digital side. And there's no reason why they wouldn't. >> Right. >> Other than the reluctance of human beings to change their behavior. >> Inertia is a powerful thing. So let's say >> As they say that, first we form habits, then habits form us. >> There you go. >> And that's how it happens. You create some habit and then you become prisoner of that habit. If you create that and you can't get rid of it. But you just have to force yourself out of it. >> Right, and this is a forcing function, like none other in terms of this whole world. >> Exactly. >> So, shifting gears a little bit to kind of your day job, beyond just leading but actually worrying about security. RSA was the last big show we went to, late January, early February. All about security, Hacker One's all about security. I would imagine now that everybody's working from home and the pressure on bringing your own devices and we're seeing all this funny stuff about Zoom. It's the greatest thing since sliced bread. And now of course everybody's jumping on all of the vulnerabilities, etc. What are you seeing in kind of the hacker world and security world as this huge shift has moved to people working from home and remote schools, etc. >> Well, it's clear that society now has to work from home and figure out distributed ways of getting education or work done. And as a result, criminality will go there as well. So we have to protect ourselves well. The first of the problems is, how do you protect yourself when you work from home? So then you talk about VPNs and how do you handle credentials and authentication and multi factor authentication to make sure that the connection is authentic and protected. So, that's the first one. The first order challenge that we have right now going on. But on a little bit longer scale, we are seeing now companies deciding to start using cloud services even more than before, because they realize that this could come back as evasion like, we are having now, could come back and you will again be at home. And then they say, how do we build our software and ICT infrastructure, such that we are not needed in the office? And the answer is move to the cloud. And when you move to the cloud, you again, the security posture changes somewhat. You don't have to worry about network security anymore, but you do have to worry much more about app sec, application security. So, whatever happens here, they are useful transitions, but they will put demands on security teams and business leaders to re-evaluate what they spend money on in security. We are very fortunate at Hacker One to be on the winning side here. Our services are exactly for this distributed virtual digital world. So, we are needed even more every day more and more because things are going online. But companies will need to rethink those things and stop spending on things that don't make sense anymore. >> Yeah. It is just wild, right? How this forcing function is really making everybody evaluate things a little bit closer and pushing them through that inertia that before you could kind of put it off, put it off, put it off. You can't put it off anymore. Time's now. >> Right. >> Yeah. >> Well, we had a similar like when Y2K happened. We also had a hard limit, and we had to get stuff done. Now it's coming in a different way, sort of the punishment came without announcement, but we are in a similar crunch to get it done. And we will. >> Yeah. But, it will be difficult and it will put a lot of strain to people under the systems. But I do believe it's doable. >> Good. So, I want to shift gears one last time. We talked really about open source. >> Right. >> You've built your career on open source. My SQL was obviously open source and got bought by Sun eventually now, part of Oracle's portfolio then you did Eucalyptus. That was open source, right? Eventually got bought by hp. And now Hacker One, you're using really a network of hackers all over the world, to really help deliver the service. I'm just curious to get your take on the role of open source. It's been such a creative force for development. It's been such a creative force for kind of moving technology forward. How do you see it playing out now? What's the role of open source? Are you seeing projects? Are you seeing people rallying around, bringing the power of data and analytics and cloud to this problem? Cause to me, there's clearly a human toll of people being sick. But it's also a big data problem in terms of resource allocation, trying to sequence this thing and accelerate vaccine development. There's a lot of kind of big data, opportunities here to attack this thing. >> I think open source is even bigger now than it used to be. And it is a very powerful example of the fact that no matter how much we are threatened that we feel like we have to hunker down and isolate ourselves from others and foreign groups or people are dangerous. In reality, the biggest accomplishments in society are always about collaboration by large groups of really intelligent driven people. Because software is eating the world, open source is eating the world. And today, if you don't use open source software, you're just plain stupid. So, it has really taken over the whole world. And it is now enabling all these new innovations and initiatives that we didn't do before in big data, collecting big data, analyzing data. We see it in the whole area of DNA medicine, where the researchers are sharing their findings with everybody. And that's very much like open source software. They don't call it open source software, but the mechanisms are the same. Everybody is doing it for their own good, but by sharing it, they multiply the value of what they did, and it speeds up innovation, so that it outperforms anything done in a closed laboratory or a closed source company. So it's wonderful to have been part of the open source revolution because it is spawning so many other initiatives and phenomena on a societal level. And this is just the beginning. It will go into politics, it will go into news, it will go into the assessment of fake news. Reddit is completely self moderate. They don't hire the moderators. The moderators are provided by the community and they self moderate. And understanding how to self govern, self moderate, at very large scale. That's the key to success in many areas. So, open source software is enormous and yet, it's just one little part of the whole world of community driven innovation. >> Right. Such a great lesson though, because, as we think back to kind of the last kind of national rally around say, World War Two, where Kaiser started building ships, and Ford was building airplanes. And we've got some of that going on with with Elon Musk, and people building respirators and some of these physical things, but there's this whole kind of software and big data, AI, machine learning thing that's happening on the background, around the genome and in the vaccine development that's not quite as visible, but really such an important part of this battle that we haven't seen. And then, of course, the other place is no place to hide. The fact that this is happening all over the globe, at the same time to everyone, regardless of your religion, your politics, your geography. It's really a unique moment in time. Hopefully one that we're not going to... >> It could be our best hope against Coronavirus. The fact that the scientists are right now working together and sharing their findings, quickly going from one test to the next and figuring out what works. And mankind hasn't had that capacity before. But now we do. So, we can't know whether it will take a long time or a short time, but at least we are getting all the resources to bear and we put them together and people share. >> Right. >> Which is what's driving the innovation here. >> Right, Martin. I guess, just a last kind of topic before I let you go, kind of circling fully back to leadership. One of the comments you talked about, about these types of times really favoring the bold. I really liked that line that is, don't be scared. It's really an opportunity for the people who have it together and are making the right priorities, to shine and to really kind of rise above the fray. I wonder if you can share a little bit more your thoughts about that from a leadership point of view. It's a time of challenge, but it's really also a time of opportunity. >> I think it's exactly like you said. It's like the Stockdale paradox. Admiral Stockdale who was a prisoner of war, over seven years, and was tortured during those years. Every day, he decided to, on one hand, be ready to face any brutal reality he might face, but on the other hand, never give up hope that one day, he will come out and have no regrets, not looking back and be a free man again. And that's exactly what happened. Of course, we are not in as dire situation as he was, but society has a similar situation. That we must have the courage to face the exact brutality of and the reality of coronavirus right now, without thinking that we won't come out of it. We will absolutely come out of it. And we will come out of it with innovations and new models that will outshine whatever we had before. And we must be able to maintain this duality of, okay, I'm ready to face the reality and I'm ready to be in isolation, I'm ready to use a face mask, whatever it takes. But also, I will never give up hope about what will come once we come out of this. And with that mindset, as a company, as a family, an individual human being or a society, you can get through any problem. And this is what Admiral Stockdale taught us through his experience, and by sharing it with everybody. >> Well, Marten. Thank you for sharing that story, and thank you for sharing your experience and kind of your point of view. We really appreciate it. These are tough times and it's great to be able to look out to the leaders and to kind of share the burden, if you will, and hear from smart folks that have a point of view. So, thank you very much for your time. Best to your employee. Glad that person is recovering. And as you said, we will get through this and we'll come out stronger the other side. Thanks a lot. >> Absolutely. Thank you, Jeff. Good chatting with you. >> All right, thanks Marten. Jeff Rick here, signing off from the Palo Alto studios from the CUBE. Thanks for watching. We'll see you next time. (soft music) (soft music)
SUMMARY :
Woman's Voice: From the CUBE studios and some of the specific challenges that really Good to be back. How are you guys kind of getting through this and we have others who might be in the danger zone. one of the reasons I wanted to reach out to you hey, we will need an office. Cause that is certainly was not the and they had developed a way of working with open source And one of the things that you brought up and sometimes you are to your advantage, And you talked about really shifting your mindset the only thing you have to show for is your work results. The only thing you can be measured by hopefully get into the habit, to then, as you said and that's the virtual thing. Because most of the time, we will connect like this the reluctance of human beings to change their behavior. Inertia is a powerful thing. first we form habits, then habits form us. But you just have to force yourself out of it. Right, and this is a forcing function, What are you seeing in kind of the hacker world And the answer is move to the cloud. that before you could kind of put it off, And we will. to people under the systems. So, I want to shift gears one last time. and cloud to this problem? And today, if you don't use open source software, at the same time to everyone, regardless of your religion, getting all the resources to bear One of the comments you talked about, And we will come out of it with and to kind of share the burden, if you will, Good chatting with you. We'll see you next time.
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Sizzle Reel | Red Hat Summit 2019
we've made just tremendous progress over the last several years with Microsoft you know started back in 2015 where we you know cross certified hypervisors and that's kind of a basic you know let's work together over the last couple years it's truly blossomed into a really good partnership where you know I think they've and we both gotten over this you know Linux vs. Windows thing and you know I said we've gotten over I think we both recognized you know we need to serve our customers in the best possible way and that clearly means is two of the largest infrastructure software providers working closely together and what's been interesting as we've gone forward we find more and more common ground about how we can better serve our customers whether that's you know what might sound mundane that's a big deal sequel server on realm and setting benchmarks around that or dotnet running on our platforms now all the way to really being able to deliver a hybrid cloud with a seamless experience with openshift from you know on premise - - to Azure and I mean having to H Bank on States twenty five thousand containers running in production moving back and forth - sure and I think it's more building on what I talked to you about a year ago if I remember last May May of 2018 in San Francisco so I was exposing very heavily look the world's going to move towards containers the world is already embraced Linux this is the time to have a new architecture that enables hybrid much along the lines that gem and all of the clients as well as Ginni and Sasha we're talking about on stage yesterday so you put all that together and you say that is what we mentioned last year and we were clear that is where the world is going to go nice step forward a few months from there into October of 2018 and on 29th of October we announced that IBM intends to acquire Red Hat so then you say wow we put actually our money where amount was we were talking about the strategy we were talking about Linux containers openshift the partnership we announced last May was IBM software products together with OpenShift that is we already believed in that but now this allows us coming together it's it's more like a marriage then sort of loose partners passing each other in the middle of the night we are so excited and you know having put in all the time part of this is representing all the work the team has done and the communities have done when you think about all the work that goes into a Linux distribution it is everybody it's the community's it's the partners so we released the Red Hat Enterprise Linux eight beta in November mid-november we've had 40,000 downloads of that beta since November people who have provided feedback and comments suggestions all of that fed into what we've released today as the Red Hat Enterprise Linux eight general availability so it's a big day and part of it is we're just so proud of how we've done it and what we've done and we've really redefined what are not the value of an operating system with Red Hat Enterprise limits eight tech transformation started about ten years ago bean CI over the company about ten years and frankly the first five years were just fixing the basics so getting in place what we'd call world-class systems doing a bunch of stuff on resilience and security and all of that kind of stuff and the other thing and this is the dramatic change you know ten years ago when I joined the company we were 85% outsource to managed service vendors so I had technology people that basically were signing contractors and managing service agreements if we didn't have technology DNA and so you know over those five years and the full ten years actually we've been to not about just in sourcing and rebuilding our technical muscle if you like so now we're we've gone from 85% outsource to 90% in sourced so we run build and manage our own we're at word now a technology company yeah and and five years ago we had a real big shift and you know we were we were closest to what was going on in China and so probably saw this before many many of the other banks saw this around the world of what Alibaba was doing with ant financial and $0.10 and this whole just just complete disruption of how customers interact with the banking industry so we got an early lead on this digital transformation and really for the last five six years would be doubling down on building a pure digital offering and we see ourselves as a technology company providing banking services not as a bank with some technology department in the backend open source is the innovation model going forward period end of story full stop and I think as I said in my keynote yesterday you know leading up to the the biggest acquisition ever for a software company not an open source software coming a software company that happened to be an open source software company I don't think there's any doubt that that open source has one here here today it and it's because of the pace of innovation yeah our goal is to make sure we're supporting those upstream communities so all of all of Red Hat software is open source and we work with a whole community of individuals and companies and the upstream open source software and we want to make sure that we're not just contributing features that we want but that we're a good player or that we're helping to make sure those communities are healthy and so for a number of the projects that were involved in we actually assigned a full-time Community Manager a community lead to help make sure that project is healthy so we have someone on everything from Saif and Gloucester to fedora to kubernetes I'm just making sure the community does well yeah we do a little bit of both and so a lot of it is responding to the community and that's one of the areas that Red Hat is really excelled as taking what's popular what's working upstream and helping moving along make it a stable product or stable solution that developers can use but we also have a certain agenda or certain platforms that we want to present so we start from like various runtimes to actually contain our platforms and so we want to have to kind of drive some of that initiatives on our own to help drive fill that need because we hear it from customers a lot it's like things are doing are great but like there's all these projects that need to come together sort as a product or unified experience and so we spend a lot of our time trying to bring those things together as a way to help developers do those different tasks and also focus across like not just the Java runtimes which we hit a lot of Java so you might have baked security in right I mean we have a secure supply chain and you talk about difficult things for la right every package that we that comes in that is we totally refresh everything from upstream but when they come in we have to inspect all the crypto we have to run them through security scans vulnerability scanners we've got three different vulnerability scanners that we're using we run them through penetration testing so there's a huge amount of work that just comes just to inherit all that from the upstream but in addition to that we've put a lot of work into making sure that well our crypto has to be Fitz certified right which means you've got to meet standards we also have work that's gone in to make sure that you can enable a security policy consistently across the system so that no application that you load on can violate your security policy we've got enough tables in their new firewalling Network bound disk encryption that actually it kind of ties in with a lot of the system management work that we've done so a thing that I think differentiates rl8 is we put a lot of focus on making it easy to use on day one and easy to manage day two well we're not getting there were there what that allows us to do is to take the reference designs that we have and the testing that we've we've previously validated with Intel and Red Hat and be able to snap pieces together so it's just a matter of what's different and unique for the client in the client situation and their growth pattern what's great about trueskill is that in this model is that we can predictably analyze or consumption forward based on the business growth so for example if you're using open shipped and you start with a small cluster for say one or two lines of business as they adopt DevOps methodologies going from either waterfall or agile we can we can predictably analyze the consumption forward that they're going to need so they can plan years in advance as they progress and as such the other snap-ins say uh storage that they're going to need for data and motion or data at rest so it's it's actually smarter and what that ends up doing is obviously saving the money but it saves some time you know typical model is going back to IT and saying we need these servers we need the storage and the software and bolt it all together and the IT guys are you know hair on fire running around already so so they can you know as long as IT approves it they can sort of bypass that that big heavy lift we're trying to do is create role models for women and girls who would like to participate in technology but perhaps are not sure that that's the way that they can go and they don't see people that are like them so they're less tendency to join into this type of communities so with the community award winner we're looking at a professional who's been contributing to open source for a period of time and with our academic winner we're looking to spur more people who are in university to think about it and of course the big idea is you'll all be looking at these women as people that will inspire you to potentially do more things with open source and more things with technology we've been hearing for many many years that we definitely need to have more gender diversity in tech in general in an open source and Red Hat is kind of uniquely situated to focus on the open source community and so with our role is the open source leader we really feel like we need to make that commitment and to be able to foster that right so so Sierra's a supercomputer and what's unique about these systems is that we're solving there's lots of systems that network together maybe are bigger a number of servers than us but we're doing scientific simulation and that kind of computing requires a level of parallelism and it's very tightly coupled so all the servers are running a piece of the problem they all have to sort of operate together if any one of them is running slow it makes the whole thing go slow so it's really this tightly coupled nature of supercomputers that make things really challenging you know we talked about performance if if one server is just running slow for some reason you know everything else is going to be affected by that so we really do care about performance and we really do care about just every little piece of the hardware you know performing as it should so we thought okay let's take all of these best practices that we have and build more or less a methodology around it how to make this actually works like how to do this we really broke it down into like individual sprints do dissin sprint one the distance sprint do to really have the results within three months six months 12 months whatever the places that you want to run on and then we realize talking to customers this by itself isn't still enough so that's why we started to open up this to an entire ecosystem so we brought ecosystem partners along like working closely with red a lot of other companies but also system integrators who can help us we speak up projects because we as a company are software companies we're not a services or consulting company and we do support customers and some of those engagement but if you think of like a really fortune 500 company that's a multi-year project it will keep hundreds of busy people busy so to recap like built-in methodology we built the ecosystem to deliver on that promise at scale and now the last step was we as we were doing this we also built like a reference architecture for it and was just in an internal IDE so how do we like structure this bill that reference architecture and then realize okay I think it's kind of like super helpful for customers so that this way we then decided to open source this reference architecture is fabric as well to like the entire software community so they can also use it so technically these three pieces it's the methodology it's the ecosystem and it's like the reference architecture that you can work with to help you achieve you [Music]
SUMMARY :
for customers so that this way we then
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Daniel G Hernandez & Scott Buckles, IBM | IBM Data and AI Forum
>> Narrator: Live from Miami, Florida, it's The Cube. Covering IBM's Data in AI Forum, brought to you by IBM. >> Welcome back to Miami, everybody. You're watching The Cube, the leader in live tech coverage. We're here covering the IBM Data and AI Forum. Scott Buckles is here to my right. He's the business unit executive at IBM and long time Cube alum, Daniel Hernandez is the Vice President of Data and AI group. Good to see you guys, thanks for coming on. >> Thanks for having us. >> Good to see you. >> You're very welcome. We're going to talk about data ops, kind of accelerating the journey to AI around data ops, but what is data ops and how does it fit into AI? Daniel, we'll start with you. >> There's no AI without data. You've got data science to help you build AI. You've got dev ops to help you build apps. You've got nothing to basically help you prepare data for AI. Data ops is the equivalent of dev ops, but for delivering AI ready data. >> So, how are you, Scott, dealing with this topic with customers, is it resonating? Are they leaning into it, or are they saying, "what?" >> No, it's absolutely resonating. We have a lot of customers that are doing a lot of good things on the data science side. But, trying to get the right data at the right people, and do it fast, is a huge problem. They're finding they're spending too much time prepping data, getting the data into the models, and they're not spending enough time failing fast with some of those models, or getting the models that they need to put in production into production fast enough. So, this absolutely resonates with them because I think it's been confusing for a long time. >> So, AI's scary to a lot of people, right? It's a complicated situation, right? And how do you make it less scary? >> Talk about problems that can be solved with it, basically. You want a better customer experience in your contact center, you want a similarly amazing experience when they're interacting with you on the web. How do you do that? AI is simply a way to get it done, and a way to get it done exceptionally well. So, that's how I like to talk about it. I don't start with here's AI, tell me what problems you can solve. Here are the problems you've got, and where appropriate, here's where AI can help. >> So what are some of your favorite problems that you guys are solving with customers. >> Customer and employee care, which, basically, is any business that does business has customers. Customer and employee care are huge a problem space. Catching bad people, financial crimes investigation is a huge one. Fraud, KYC AML as an example. >> National security, things like that, right? >> Yeah. >> You spend all your time with customers, what else? >> Well, customer experience is probably the one that we're seeing the most. The other is being more efficient. Helping businesses solve those problems quicker, faster. Try to find new avenues for revenue. How to cut costs out of their organization, out of their run time. Those are the ones that we see the most. >> So when you say customer experience, immediately chat bots jumps into my head. But I know we're talking more than, sort of a, transcends chat bots, but double click on customer experience, how are people applying machine intelligence to improve customer experience? >> Well, when I think of it, I think about if you call in to Delta, and you have one bad experience, or your airline, whatever that airline may be, that that customer experience could lead to losing that customer forever, and there used to be an old adage that you have one bad experience and you tell 10 people about it, you have a good one, and you tell one person, or two peoples. So, getting the right data to have that experience is where it becomes a challenge and we've seen instances where customers, or excuse me, organizations are literally trying to find the data on the screen while the customer is on hold. So, they're saying, "can I put you on hold?" and they're trying to go out and find it. So, being able to automate finding that data, getting it in the right hands, to the right people, at the right time, in moment's notice, is a great opportunity for AI and machine learning, and that's an example of how we do it. >> So, from a technical standpoint, Daniel, you guys have this IBM Cloud Pak for Data that's going to magic data virtualization thing. Let's take an example that Scott just gave us, think of an airline. I love my mobile app, I can do everything on my mobile app, except there are certain things I can't do, I have to go to the website. There are certain things I have to do with e-commerce that I have to go to the website that I can't do. Sometimes watching a movie, I can't order a movie from the app, I have to go to website, the URL, and order it there and put it on my watch list. So, I presume that there's some technical debt in each of those platforms, and there's no way to get the data from here, and the data from here talking to each other. Is that the kind of problem that you're solving? >> Yes, and in this particular case, you're actually touching on what we mean by customer and employee care everywhere. The interaction you have on your phone should be the same as the interaction and the kind of response on the web, which should be the same, if not better, when you're talking to a human being. How do you have the exceptional customer and employee care, all channels. Today, say the art is, I've got a specific experience for my phone, a specific experience for my website, a specific, different experience in my contact center. The whole work we're doing around Watson Assistant, and it as a virtual assistant, is to be that nervous system that underpins all channels, and with Cloud Pak for Data, we can deliver it anywhere. You want to run your contact center on an IBM Cloud? Great. You want to run it on Amazon, Azure, Google, your own private center, or everything in between, great. Cloud Pak for Data is how you get Watson Assistant, the rest of Watson and our data stack anywhere you want, so you can deliver that same consistent, amazing experience, all channels, anywhere. >> And I know the tone of my question was somewhat negative, but I'm actually optimistic, and there's a couple examples I'll give. I remember Bill Belichick one time said, "Agh, the weather, it can't ever get the weather right," this is probably five, six years ago. Actually, they do pretty well with the weather compared to 10 or 15 years ago. The other is fraud detection. In the last 10 years, fraud detection has become so much better in terms of just the time it takes to identify a fraud, and the number of false positives. Even in the last, I'd say, 12 to 18 months, false positives are way down. I think that's machine intelligence, right? >> I mean, if you're using business rules, they're not way down. They're still way up. If you're using more sophisticated techniques, that are depending upon the operational data to be trained, then they should be way down. But, there is still a lot of these systems that are based on old school business rules that can't keep up. They're producing alerts that, in many cases, are ignored, and because they're ignored, you're susceptible to bad issues. With, especially AI based techniques for fraud detection, you better have good data to train this stuff, which gets back to the whole data ops thing, and training those with good data, which data ops can help you get done. >> And a key part to data ops is the people and the process. It's not just about automating things and automating the data to get it in the right place. You have to modernize those business processes and have the right skills to be able to do that as well. Otherwise, you're not going to make the progress. You're not going to reap the benefits. >> Well, that was actually my next question. What about the people and the process? We were talking before, off camera, about our PA, and he's saying "pave the cow path." But sometimes you actually have to re-engineer the process and you might not have the skill set. So it's people and process, and then technology you lay in. And we've always talked about this, technology is always going to change. Smart technologists will figure it out. But, the people and the process, that's the hardest part. What are you seeing in the field? >> We see a lot of customers struggling with the people and process side, for a variety of reasons. The technology seems to be the focus, but when we talk to customers, we spend a lot of time saying, "well, what needs to change in your business process "when this happens? "How do those business rules need to change "so you don't get those false positives?" Because it doesn't matter at the end of the day. >> So, can we go back to the business rules thing? So, it sounds like the business rules are sort of an outdated, policy based, rigid sort of structure that's enforced no matter what. Versus machine intelligence, which can interpret situations on the fly, but can you add some color to that and explain the difference between what you call sort of business rules based versus AI based. >> So the AI based ones, in this particular case, probably classic statistical machine learning techniques, to do something like know who I am, right? My name is Danny Hernandez, if you were to Google Danny Hernandez, the number one search result is going to be a rapper. There is a rapper that actually just recently came out, he's not even that good, but he's a new one. A statistical machine learning technique would be able to say, "all right, given Daniel "and the context information I know about him, "when I look for Daniel Hernandez, "and I supplement the identity with that "contextual information, it means it's one of "the six that work at IBM." Right? >> Not the rapper. >> Not the rapper. >> Not the rapper. >> Exactly. I don't mind being matched with a rapper, but match me with a good rapper. >> All you've got to do is search Daniel Hernandez and The Cube and you'll find him. >> Ha, right. Bingo. Actually that's true. So, in any case, the AI based techniques basically allow you to isolate who I am, based on more features that you know about me, so that you get me right. Because if you can't even start there, with whom are you transacting, you're not going to have any hope of detecting fraud. Either that, or you're going to get false positives because you're going to associate me with someone that I'm not, and then it's just going to make me upset, because when you should be transacting with me, you're not because you're saying I'm someone I'm not. >> So, that ties back to what we were saying before, know you're customer and anti money laundering. Which, of course, was big, and still is, during the crypto craze. Maybe crypto is not as crazy, but that was a big deal when you had bitcoin at whatever it was. What are some practical applications for KYC AML that you're seeing in the field today? >> I think that what we see a lot of, what we're applying in my business is automating the discovery of data and learning about the lineage of that data. Where did it come from? This was a problem that was really hard to solve 18 months ago, because it took a lot of man power to do it. And as soon as you did it once, it was outdated. So, we've recently released some capabilities within Watson Knowledge Catalog that really help automate that, so that as the data continues to grow, and continues to change, as it always does, that rather than having two, three hundred business analysts or data stewards trying to go figure that out, machine learning can go do that for you. >> So, all the big banks are glomming on to this? >> Absolutely. >> So think about any customer onboarding, right? You better know who your customer is, and you better have provisions around anti money laundering. Otherwise, there's going to be some very serious downside risk. It's just one example of many, for sure. >> Let's talk about some of the data challenges because we talked a lot about digital, digital business, I've always said the difference between a business and a digital business is how they use data. So, what are some of the challenging issues that customers are facing, and particularly, incumbents, Ginni Rometty used the term a couple of events ago, and it might have even been World of Watson, incumbent disruptors, maybe that was the first think, which I thought was a very poignant term. So, what are some of the data challenges that these incumbents are facing, and how is IMB helping solve them? >> For us, one of them that we see is just understanding where their data is. There is a lot of dark data out there that they haven't discovered yet. And what impact is that having on their analytics, what opportunities aren't they taking advantage of, and what risks are they being exposed to by that being out there. Unstructured data is another big part of it as well. Structured data is sort of the easy answer to solving the data problem, >> [Daniel Hernandez] But still hard. >> But still hard. Unstructured data is something that almost feels like an afterthought a lot of times. But, the opportunities and risks there are equally, if not greater, to your business. >> So yeah, what you're saying it's an afterthought, because a lot of times people are saying, "that's too hard." >> Scott Buckles: Right. >> Forget it. >> Scott Buckles: Right. Right. Absolutely. >> Because there's gold in them there hills, right? >> Scott Buckles: Yeah, absolutely. >> So, how does IBM help solve that problem? Is it tooling, is it discovery tooling? >> Well, yeah, so we recently released a product called InstaScan, that helps you to go discover unstructured data within any cloud environment. So, that was released a couple months ago, that's a huge opportunity that we see where customers can actually go and discover that dark data, discover those risks. And then combine that with some of the capabilities that we do with structured data too, so you have a holistic view of where your data is, and start tying that together. >> If I could add, any company that has any operating history is going to have a pretty complex data environment. Any company that wants to employ AI has a fundamental choice. Either I bring my AI to the data, or I bring my data to the AI. Our competition demand that you bring your data to the AI, which is expensive, hard, often impossible. So, if you have any desire to employ this stuff, you had better take the I'm going to bring my AI to the data approach, or be prepared to deal with a multi-year deployment for this stuff. So, that principle difference in how we think about the problem, means that we can help our customers apply AI to problem sets that they otherwise couldn't because they would have to move. And in many cases, they're just abandoning projects all together because of that. >> So, now we're starting to get into sort of data strategy. So, let's talk about data strategy. So, it starts with, I guess, understanding the value of your data. >> [Daniel Hernandez] Start with understanding what you got. >> Yeah, what data do I have. What's the value of that data? How do I get to that data? You just mentioned you can't have a strategy that says, "okay, move all the data into some God box." >> Good luck. >> Yeah. That won't work. So, do customers have coherent data strategies? Are they formulating? Where are we on that maturity curve? >> Absolutely, I think the advent of the CDO role, as the Chief Data Officer role, has really helped bring the awareness that you have to have that enterprise data strategy. >> So, that's a sign. If there's a CDO in the house. >> There's someone working on enterprise, yeah, absolutely. >> So, it's really their role, the CDO's role, to construct the data strategy. >> Absolutely. And one of the challenges that we see, though, in that, is that because it is a new role, is like going back to Daniel's historical operational stuff, right? There's a lot of things you have to sort out within your data strategy of who owns the data, right? Regardless of where it sits within an enterprise, and how are you applying that strategy to those data assets across the business. And that's not an easy challenge. That goes back to the people process side of it. >> Well, right. I bet you if I asked Jim Cavanaugh what's IBM's data strategy, I bet you he'd have a really coherent answer. But I bet you if I asked Scott Hebner, the CMO of the data and AI group, I bet you I'd get a somewhat different answer. And so, there's multiple data strategies, but I guess it's (mumbles) job to make sure that they are coherent and tie in, right? >> Absolutely. >> Am I getting this? >> Absolutely. >> Quick study. >> So, what's IBM's data strategy? (laughs) >> Data is good. >> Data is good. Bring AI to the data. >> Look, I mean, data and AI, that's the name of the business, that's the name of the portfolio that represents our philosophy. No AI without data, increasingly, not a lot of value of data without AI. We have to help our customers understand this, that's a skill, education, point of view problem, and we have to deliver technology that actually works in the wild, in their environment, not as we want them to be, but as they are. Which is often messy. But I think that's our fun. It's the reason we've been here for a while. >> All right, I'll give you guys a last word, we got to run, but both Scott and Daniel, take aways from the event today, things that you're excited about, things that you learned. Just give us the bumper sticker. >> For me, you talk about whether people recognize the need for a data strategy in their role. For me, it's people being pumped about that, being excited about it, recognizing it, and wanting to solve those problems and leverage the capabilities that are out there. >> We've seen a lot of that today. >> Absolutely. And we're at a great time and place where the capabilities and the technologies with machine learning and AI are applicable and real, that they're solving those problems. So, I think that gets everybody excited, which is cool. >> Bring it home, Daniel. >> Excitement, a ton of experimentation with AI, some real issues that are getting in the way of full-scale deployments, a methodology data ops, to deal with those real hardcore data problems in the enterprise, resonating, a technology stack that allows you to implement that as a company is, through Cloud Pak for Data, no matter where they want to run is what they need, and I'm happy we're able to deliver it to them. >> Great. Great segment, guys. Thanks for coming. >> Awesome. Thank you. >> Data, applying AI to that data, scaling with the cloud, that's the innovation cocktail that we talk about all the time on The Cube. Scaling data your way, this is Dave Vellante and we're in Miami at the AI and Data Forum, brought to you by IBM. We'll be right back right after this short break. (upbeat music)
SUMMARY :
Covering IBM's Data in AI Forum, brought to you by IBM. Good to see you guys, thanks for coming on. kind of accelerating the journey to AI around data ops, You've got dev ops to help you build apps. or getting the models that they need to put in production So, that's how I like to talk about it. that you guys are solving with customers. is any business that does business has customers. Those are the ones that we see the most. So when you say customer experience, So, getting the right data to have that experience and the data from here talking to each other. and the kind of response on the web, in terms of just the time it takes to identify a fraud, you better have good data to train this stuff, and automating the data to get it in the right place. the process and you might not have the skill set. Because it doesn't matter at the end of the day. and explain the difference between what you call the number one search result is going to be a rapper. I don't mind being matched with a rapper, and The Cube and you'll find him. so that you get me right. So, that ties back to what we were saying before, automate that, so that as the data continues to grow, and you better have provisions around anti money laundering. Let's talk about some of the data challenges Structured data is sort of the are equally, if not greater, to your business. because a lot of times people are saying, "that's too hard." Absolutely. that helps you to go discover unstructured data Our competition demand that you bring your data to the AI, So, it starts with, I guess, You just mentioned you can't have a strategy that says, So, do customers have coherent data strategies? that you have to have that enterprise data strategy. So, that's a sign. to construct the data strategy. There's a lot of things you have to sort out But I bet you if I asked Scott Hebner, Bring AI to the data. data and AI, that's the name of the business, but both Scott and Daniel, take aways from the event today, and leverage the capabilities that are out there. that they're solving those problems. a technology stack that allows you to implement that Thanks for coming. Thank you. brought to you by IBM.
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Sam Werner, IBM | VMworld 2019
>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by the M wear and its ecosystem partners. >> Welcome back here to San Francisco. Where? Mosconi Center right now. And for Veum. World 2019. Gorgeous Day outside, by the way. Great. To be here on the West Coast with Sam Warner right now is the vice president of offering management of storage at IBM. And I'm joined by Stew Minimum as well. Good to see you still haven't singing along. >> Great to see you, John. And yeah, you know, beautiful day outside. If we're in Vegas, I'm sure will be sunny, but we sure wouldn't be >> outside. No, no, I love it Here. Thanks for joining us. Glad to have you here on the Cube way. We're kind of joking. Before we came out about how you said, you know, I'm in the storage, but you have to be very careful about how you described at the some people because they want to get a riddle in unit from you. That's right away. So? So we know. What storage? What side of that? L'm what we're talking about here. Let's just talk about the big picture right now that just in terms of of what's going on in terms of stories that some of the I guess larger concerns that you have these days is people go multi cloud in hybrid cloud. Um, it presents a whole different array of challenges for you and your team. I would assume >> that's right. You know, you often hear people talking about modernizing their applications for the cloud world, and they're focused on how do they rebuild and re factor their applications for future? The other thing they really need to think about is how do they modernize their data protection? You have to think about how you're gonna manage that data in a multi cloud world. Is your data protected on premises and in the cloud, you have to think about new threats that are emerging. Organized crime is behind a lot of these data breaches, you see, and the malware attacks. You have to think about that and then you always hear about A. I am trying to unlock all of the data to get valuable insights for an organization. How can you leverage that data that in the past has just been a back up there to protect you. Now how can you use it for valuable sites for your business? So modernizing data protection that's spent a lot of time talking about these days. >> Sam VM World has always been a great ecosystem show, and over the years, certain things that have been front and center. I remember when the launch NSX networking was there many years, people called the storage world. I walked through the expo floor and you could almost say, You know, this is data protection world. I saw big booths. I see lots of pomp and circumstance. You know, big companies like IBM. Of course, I have a strong presence there, and a whole lot of startups maybe give >> us a >> little context. Is toe kind of why there's so much on data protection? Because it's not like this is a new thing, but, you know, definitely is, You know, more hot in buzzy er than that has been in a long time. >> It's a really interesting observation. Actually, we used to call this the biggest storage show there was. And now when I walked in today to the Expo floor, it was every data protection company just big and bright. And And I'll tell you, it's all the things that I mentioned, right? The whole everybody has to back up their data. If something happens, you need to be able to recover, so it's really important. And and the CEO of IBM, Ginni Rometty, always talks about data as the next gold. The best resource, right? If you can unlock that data, you get a competitive advantage, so obviously have to protect it. I think that there's this big revolution going on in data protection because of all the additional value could get out of that data. The one thing I always have to remind clients. You'll see a lot of startups you walk out on the expo floor. But it's not just your new applications that need to be backed up. It's your entire enterprise. That data. When you think about a I, it's about harvesting value from all those legacy applications as well. So I think you gotta have a full suite of data protection. >> You hit on something that I'm sure your colleagues seem throughout the industry. All they also deal with you talk about cyber resiliency and making sure that you have the best protections against what are becoming increasingly Mork complex, sophisticated intrusions. Eso How has that evolved, say, over the last 345 years to where we are now in terms of putting up that safeguard against you know, the level on actors and knowing that the stakes are that much higher now than they might have been in the past. >> You know, an IBM has always been a leader in this space. When you think about the strongest protection against cyberattacks, it's tape you can actually air gap your data, you move it off line completely. You put it on tape in the native safe. By the way, our tape business is growing like crazy because as data grows, you need somewhere to put it in. The best economics in the most safe place to store it is actually on tape. But what you see happening, the change is coming is really about adding Maur intelligence in the software because you need a certain amount of your data online. So how do you keep that data online and keep it safe? You have to be able to detect attacks, and you have to have software in your system that can actually protect the data in real time. So I think you're seeing a lot more intelligence. We'd call it a I driven data protection, And that's some of stuff we're working on our data protection portfolio. >> Sam. Wonder if you could help us unpack that a little bit because, you know, when we look at, you know, machine learning or a eye out there. You know, we've talked about intelligence and automation in the storage world for decades, but data is very much dispersed, and and I think part of it is people alone could not manage this environment that, you know, it's no longer something. I could just turn a key, unlock it and keep it in there. It's now, as you said, it's multi cloud. I've got sass applications and everywhere. So you know, where is that a I going to help in? What is IBM, you know, got available today to help >> write great great questions. So, first of all, the great thing about focusing on the data protection part of it is it is part of your whole data strategy. It needs to be, at least if it's not you have a problem, you're exposed with spectrum. Protect will actually show you which of your data is exposed and not being protected. Giving a whole list view of your environment. For example, in a V M where environment will show you all of your v EMS and show you which ones aren't protected. So, you know, and then what we do give me a real world. Examples. Since we understand what's happening at the data in real time, if we see something like the D duplication rate change, so you typically get a certain amount of data de duplicated and all this on that rate changes, something might be going on. So we'll notify the administrator. Let's say that all the sudden lots of data starts changing outside, the normal pattern will alerted Administrator and let them know that there might be some bad actors. So there's the types of things we can see in real time. And since we're part of all of the data because you have to back up your data, we have holistic view of the environment. >> Sam IBM has a long, long partnership with VM, where one of the things that really struck me leading up to the show and even in the keynote is the VM isn't necessarily what we're talking about anymore. I joked Veum, where's actually done some advertising at some shows where they put, like, container where and you look at all the acquisitions they've done put things together. You talked about cloud native pieces. So you know, where's the relationship that IBM has with the, um where where is that going? And how are you ready for that containerized micro service, multi cloud world that we're all heading towards? >> Yeah, that's a great question. And by the way, if you talk to customers, I would guess 80% plus of them will tell you that their biggest concern for their container environment is how to do data protection. And it's certainly immature compared to, ah, the ecosystems that have built up around VM where AH, however, there's a lot of focus on it were focusing on an IBM research is focusing on it, and we're building drivers that go underneath that actually do that data protection, and we'll be coming out with application aware data protection for containers over the next quarter in years to come. That's one of our big focus areas. Ah, and it has to be for both on premises on your private cloud. Also going into the public cloud. As you said, you need one holistic way of doing that. Pratt detection across >> both. How's the nature of of attacks changed in terms of of the intrusions that you're detecting now? How is that morphed as technology's advanced that I'm sure the the offense, if you will, has advanced a swell >> significantly? I mean, they become significantly more sophisticated, of course, on you see them everywhere and in fact, some of the more recent ones. I'm not going to name any names or even happening in the cloud, right? So you failed to properly deploy an application in the cloud. It's not the clouds fault, necessarily. It's how it's being used and you leave the back door open. And there's armies of people that are being paid a lot of money to find those, uh, those gaps and go after them. So it's near impossible to close all those gaps. So you need intelligence running underneath that can detect Aah these intrusions without proper awareness and protection. You know, some of these things can go six months to a year without being detected. So you gotta you gotta be more on top of the thing. >> And how exhausting is that? I mean, just in terms of of sheer, you know, brain power, if you will. But it's just the fact that you play defense all the time. You don't get the throat, the long ball yourself, right? You have to be on the safe guard. You have to be on the defensive. And I'm sure you'd like to be on the other side of the defense, everyone. So all right. A little offense, but you can't s o. How literally. How tiring is that to be on the defensive like that? >> When you talk to a C suite person in the company, this is what's keeping them up at night. They don't want to be the next one on the news, and it is daunting. Do I have an application out there with some kind of exposure? And they come to IBM because we have the experience dealing with it. We've got decades of experience dealing with security and, uh, and we have led the way, and a lot of the things you can do around data breaches and protecting your data. So So they come to us is ah, reliable partner that has the experience. There's a lot of startups out there that are entering the space. I don't think that they bring the same level of experience that we have to be able to detect and respond to those problems. >> Yeah. So, Sam, we talked about the show floor. There's a lot going on there. What? Your team doing a lot of the show. Maybe give us a little sneak peek. For those people that aren't here at the show is toe. You know what they're missing. If they if they didn't come to check out all that IBM is doing >> what we're doing so much exciting stuff. We've got a heavy focus on Sybers and leases we talked about in data protection. Ah, we're also doing a lot around cognitive and in a I and helping customers accelerate >> Ah ah, >> the insights that could get we helped create an end in data pipeline for your data. One of the big challenges for a I is bringing the data together a lot of copying of data and it slows it down. It also prevents. Ah, an enterprise from deploying, uh, the actual models in into production so they can gain insights in no time. We actually help streamline that data pipeline. Of course, we're doing a lot around Hybrid multi cloud is a company. Ah, the acquisition we recently made of Red out. We're bringing those pieces together and providing customers with the real way to manage there are modernizing manage their applications in a hybrid, multi cloud >> world data management. You know, that's a whole different slices it not that that people might be very focused in some respects on security and protection, but now you gotta manage all that stuff too. In a multi cloud environment and a hybrid environment, whole new levels of complexities, >> right? And in containers really start providing you with the ability to modernize your application deployed on premises or give you a consistent way to deploy it on the cloud. One of the things we do in our software defined storage portfolio is provide you one common management data plane that extends from on premises to the cloud. So you can really create data portability for your application as you modernize it, >> Sam. I mean, one of things I heard very loud and clear for the M. Where is, you know, we're gonna give you everything from where you are today to where you want to go. I think IBM got a little bit of legacy experience with doing those kind of solutions. >> That's right, Andi. We've been doing it for quite some time, and that's a big focus area for ours. I was joking that in the keynote this morning, a lot of it sounded very familiar to me. It's things that we've been talking about for a while. I'm excited about where the m where is going. I think it's very consistent with our strategy as a company, as an IBM company. >> Well, thanks for the time. Glad to have you here on the Cube. Good luck with the move to North Carolina guy. New York guy headed to Raleigh. So, uh, uh, you love it. The great city. Sam Warner joining us here on the Q back with more live from San Francisco. Right after this time out
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Brought to you by the M wear and its ecosystem partners. Good to see you still haven't singing along. but we sure wouldn't be Glad to have you here on the Cube way. You have to think about that and then you always hear about I walked through the expo floor and you could almost say, thing, but, you know, definitely is, You know, more hot in buzzy er than So I think you gotta have a full All they also deal with you talk about cyber resiliency and making sure that you have the best the change is coming is really about adding Maur intelligence in the software because you need a certain amount of your data online. So you know, And since we're part of all of the data because you have to back up your data, we have holistic view of the environment. So you know, where's the relationship that IBM has with the, And by the way, if you talk to customers, advanced that I'm sure the the offense, if you will, has advanced a swell I mean, they become significantly more sophisticated, of course, on you see them But it's just the fact that you play defense all the time. uh, and we have led the way, and a lot of the things you can do around a lot of the show. We've got a heavy focus on Sybers and leases we talked about in data the insights that could get we helped create an end in data pipeline for your data. people might be very focused in some respects on security and protection, but now you gotta manage all So you can really create data portability for your application as you modernize it, are today to where you want to go. I think it's very consistent Glad to have you here on the Cube.
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Randy Arseneau & Steve Kenniston, IBM | CUBEConversation, August 2019
from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape all right buddy welcome to this cute conversation my name is Dave Ville on time or the co-host of the cube and we're gonna have a conversation to really try to explore does infrastructure matter you hear a lot today I've ever since I've been in this business I've heard Oh infrastructure is dead hardware is dead but we're gonna explore that premise and with me is Randy Arsenault and Steve Kenaston they're both global market development execs at IBM guys thanks for coming in and let's riff thanks for having us Dave so here's one do I want to start with the data we were just recently at the MIT chief data officer event 10 years ago that role didn't even exist now data is everything so I want to start off with you here this bro my data is the new oil and we've said you know what data actually is more valuable than oil oil I can put in my car I can put in my house but I can't put it in both data is it doesn't follow the laws of scarcity I can use the same data multiple times and I can copy it and I can find new value I can cut cost I can raise revenue so data in some respects is more valuable what do you think right yeah I would agree and I think it's also to your point kind of a renewable resource right so so data has the ability to be reused regularly to be repurposed so I would take it even further we've been talking a lot lately about this whole concept that data is really evolving into its own tier so if you think about a traditional infrastructure model where you've got sort of compute and network and applications and workloads and on the edge you've got various consumers and producers of that data the data itself has those pieces have evolved the data has been evolving as well it's becoming more complicated it's becoming certainly larger and more voluminous it's better instrumented it carries much more metadata it's typically more proximal with code and compute so the data itself is evolving into its own tier in a sense so we we believe that we want to treat data as a tier we want to manage it to wrap the services around it that enable it to reach its maximum potential in a sense so guys let's we want to make this interactive in a way and I'd love to give you my opinions as well as links are okay with that but but so I want to make an observation Steve if you take a look at the top five companies in terms of market cap in the US of Apple Google Facebook Amazon and of course Microsoft which is now over a trillion dollars they're all data companies they've surpassed the bank's the insurance companies the the Exxon Mobil's of the world as the most valuable companies in the world what are your thoughts on that why is that I think it's interesting but I think it goes back to your original statement about data being the new oil the and unlike oil Ray's said you can you can put it in house what you can't put it in your car you also when it's burnt it's gone right but with data you you have it around you generate more of it you keep using it and the more you use it and the more value you get out of it the more value the company gets out of it and so as those the reason why they continue to grow in value is because they continue to collect data they continue to leverage that data for intelligent purposes to make user experiences better their business better to be able to go faster to be able to new new things faster it's all part of part of this growth so data is one of the superpowers the other superpower of course is machine intelligence or what everybody talks about as AI you know it used to be that processing power doubling every 18 months was what drove innovation in the industry today it's a combination of data which we have a lot of it's AI and cloud for scaling we're going to talk about cloud but I want to spend a minute talking about AI when I first came into this business AI was all the rage but we didn't have the amount of data that we had today we don't we didn't have the processing power it was too expensive to store all this data that's all changed so now we have this emerging machine intelligence layer being used for a lot of different inks but it's sort of sitting on top of all these workloads that's being injected into databases and applications it's being used to detect fraud to sell us more stuff you know in real time to save lives and I'm going to talk about that but it's one of these superpowers that really needs new hardware architectures so I want to explore machine intelligence a little bit it really is a game changers it really is and and and tying back to the first point about sort of the the evolution of data and the importance of data things like machine learning and adaptive infrastructure and cognitive infrastructure have driven to your point are a hard requirement to adapt and improve the infrastructure upon which that lives and runs and operates and moves and breathes so we always had Hardware evolution or development or improvements and networks and the basic you know components of the infrastructure being driven again by advances in material science and silicon etc well now what's happening is the growth and importance and and Dynamis city of data is far outpacing the ability of the physical sciences to keep pace right that's a reality that we live in so therefore things like you know cognitive computing machine learning AI are kind of bridging the gap almost between the limitations we're bumping up against in physical infrastructure and the immense unlocked potential of data so that intermediary is really where this phenomenon of AI and machine learning and deep learning is happening and you're also correct in pointing out that it's it's everywhere I mean it's imbuing every single workload it's transforming every industry and a fairly blistering pace IBM's been front and center around artificial intelligence in cognitive computing since the beginning we have a really interesting perspective on it and I think we bring that to a lot of the solutions that we offer as well Ginni Rometty a couple years ago actually use the term incumbent disruptors and when I think of that I think about artificial intelligence and I think about companies like the ones I mentioned before that are very valuable they have data at their core most incumbents don't they have data all over the place you know they might have a bottling plant at the core of the manufacturing plant or some human process at the core so to close that gap artificial intelligence from the incumbents the appointees they're gonna buy that from companies like IBM they're gonna you know procure Watson or other AI tools and you know or maybe you know use open-source AI tools but they're gonna then figure out how to apply those to their business to do whatever fraud detection or recommendation engines or maybe even improve security and we're going to talk about this in detail but Steve this there's got to be new infrastructure behind that we can't run these new workloads on infrastructure that was designed 30 40 years ago exactly I mean I think I am truly fascinated by with this growth of data it's now getting more exponential and why we think about why is it getting more exponential it's getting more exponential because the ease at which you can actually now take advantage of that data it's going beyond the big financial services companies the big healthcare companies right we're moving further and further and further towards the edge where people like you and I and Randi and I have talked about the maker economy right I want to be able to go in and build something on my own and then deliver it to either as a service as a person a new application or as a service to my infrastructure team to go then turn it on and make something out of that that infrastructure it's got to come down in cost but all the things that you said before performance reliability speed to get there intelligence about data movement how do we get smarter about those things all of the underlying ways we used to think about how we managed protect secure that it all has evolved and it's continuing to evolve everybody talks about the journey the journey to cloud why does that matter it's not just the cloud it's also the the componentry underneath and it's gonna go much broader much bigger much faster well and I would just add just amplify what Steve said about this whole maker movement one of the other pressures that that's putting on corporate IT is it's driving essentially driving product development and innovation out to the end to the very edge to the end user level so you have all these very smart people who are developing these amazing new services and applications and workloads when it gets to the point where they believe it can add value to the business they then hand it off to IT who is tasked with figuring out how to implement it scale it protect it secured debt cetera that's really where I believe I um plays a key role or where we can play a key role add a lot of values we understand that process of taking that from inception to scale and implementation in a secure enterprise way and I want to come back to that so we talked about data as one of the superpowers an AI and the third one is cloud so again it used to be processor speed now it's data plus AI and cloud why is cloud important because cloud enables scale there's so much innovation going on in cloud but I want to talk about you know cloud one dot o versus cloud two dot o IBM talks about you know the new era of cloud so what was cloud one dot o it was largely lift and shift it was taking a lot of crap locations and putting him in the public cloud it was a lot of tests in dev a lot of startups who said hey I don't need to you know have IT I guess like the cube we have no ID so it's great for small companies a great way to experiment and fail fast and pay for you know buy the drink that was one dot o cloud to dot all to datos is emerging is different it's hybrid it's multi cloud it's massively distributed systems distributed data on Prem in many many clouds and it's a whole new way of looking at infrastructure and systems design so as Steve as you and I have talked about it's programmable so it's the API economy very low latency we're gonna talk more about what that means but that concept of shipping code to data wherever it lives and making that cloud experience across the entire infrastructure no matter whether it's on Prem or in cloud a B or C it's a complicated problem it really is and when you think about the fact that you know the big the big challenge we started to run into when we were talking about cloud one always shadow IT right so folks really wanted to be able to move faster and they were taking data and they were actually copying it to these different locations to be able to use it for them simply and easily well once you broke that mold you started getting away from the security and the corporate furnance that was required to make sure that the business was safe right it but it but it but following the rules slowed business down so this is why they continued to do it in cloud 2.0 I like the way you position this right is the fact that I no longer want to move data around moving data it within the infrastructure is the most expensive thing to do in the data center so if I can move code to where I need to be able to work on it to get my answers to do my AI to do my intelligent learning that all of a sudden brings a lot more value and a lot more speed and speed as time as money rate if I can get it done faster I get more valuable and then just you know people often talk about moving data but you're right on you the last thing you want to do is move data in just think about how long it takes to back up the first time you ever backed up your iPhone how long it took well and that's relatively small compared to all the data in a data center there's another subtext here from a standpoint of cloud 2.0 and it involves the edge the edge is a new thing and we have a belief inside of wiki bond and the cube that we talk about all the time that a lot of the inference is going to be done at the edge what does that mean it means you're going to have factory devices autonomous vehicles a medical device equipment that's going to have intelligence in there with new types of processors and we'll talk about that but a lot of the the inference is that conclusions were made real-time and and by the way these machines will be able to talk to each other so you'll have a machine to machine communication no humans need to be involved to actually make a decision as to where should I turn or you know what should be the next move on the factory floor so again a lot of the data is gonna stay in place now what does that mean for IBM you still have an opportunity to have data hubs that collect that data analyze it maybe push it up to the cloud develop models iterate and push it back down but the edge is a fundamentally new type of approach that we've really not seen before and it brings in a whole ton of new data yeah that's a great point and it's a market phenomenon that has moved and is very rapidly moving from smartphones to the enterprise right so right so your point is well-taken if you look in the fact is we talked earlier that compute is now proximal to the data as opposed to the other way around and the emergence of things like mesh networking and you know high bandwidth local communications peer-to-peer communications it's it's not only changing the physical infrastructure model and the and the best practices around how to implement that infrastructure it's also fundamentally changing the way you buy them the way you consume them the way you charge for them so it's it's that shift is changing and having a ripple effect across our industry in every sense whether it's from the financial perspective the operational perspective the time to market perspective it's also and we talked a lot about industry transformation and disruptors that show up you know in an industry who work being the most obvious example and just got an industry from the from the bare metal and recreate it they are able to do that because they've mastered this new environment where the data is king how you exploit that data cost-effectively repeatably efficiently is what differentiates you from the pack and allows you to create a brand new business model that that didn't exist prior so that's really where every other industry is going you talking about those those those big five companies in North America that are that are the top top companies now because of data I often think about rewind you know 25 years do you think Amazon when they built Amazon really thought they were going to be in the food service business that the video surveillance business the drone business all these other book business right maybe the book business right but but their architecture had to scale and change and evolve with where that's going all around the data because then they can use these data components and all these other places to get smarter bigger and grow faster and that's that's why they're one of the top five this is a really important point especially for the young people in the audience so it used to be that if you were in an industry if you were in health care or you were in financial services or you were in manufacturing you were in that business for life every industry had its own stack the sales the marketing the R&D everything was wired to that industry and that industry domain expertise was really not portable across businesses because of data and because of digital transformations companies like Amazon can get into content they can get into music they can get it to financial services they can get into healthcare they can get into grocery it's all about that data model being portable across those industries it's a very powerful concept that you and I mean IBM owns the weather company right so I mean there's a million examples of traditional businesses that have developed ways to either enter new markets or expand their footprint in existing markets by leveraging new sources of data so you think about a retailer or a wholesale distributor they have to very accurately or as accurately as possible forecast demand for goods and make sure logistically the goods are in the right place at the right time well there are million factors that go into that there's whether there's population density there's local cultural phenomena there's all sorts of things that have to be taken into consideration previously that would be near impossible to do now you can sit down again as an individual maker I can sit down at my desk and I can craft a model that consumes data from five readily available public api's or data sets to enhance my forecast and I can then create that model execute it and give it to two of my IT guy to go scale-out okay so I want to start getting into the infrastructure conversation again remember the premise of this conversation it doesn't read for structure matter we want to we want to explore that oh I start at the high level with with with cloud multi-cloud specifically we said cloud 2.0 is about hybrid multi cloud I'm gonna make a statements of you guys chime in my my assertion is that multi cloud has largely been a symptom of multi-vendor shadow IT different developers different workloads different lines of business saying hey we want to we want to do stuff in the cloud this happened so many times in the IT business all and then I was gonna govern it how is this gonna be secure who's got access control on and on and on what about compliance what about security then they throw it over to IT and they say hey help us fix this and so itea said look we need a strategy around multi cloud it's horses for courses maybe we go for cloud a for our collaboration software cloud B for the cognitive stuff cloud C for the you know cheap and deep storage different workloads for different clouds but there's got to be a strategy around that so I think that's kind of point number one and I T is being asked to kind of clean up this stuff but the future today the clouds are loosely coupled there may be a network that connects them but there's there's not a really good way to take data or rather to take code ship it to data wherever it lives and have it be a consistent well you were talking about an enterprise data plane that's emerging and that's kind of really where the opportunity is and then you maybe move into the control plane and the management piece of it and then bring in the edge but envision this mesh of clouds if you will whether it's on pram or in the public cloud or some kind of hybrid where you can take metadata and code ship it to wherever the data is leave it there much smaller you know ship five megabytes of code to a petabyte of data as opposed to waiting three months to try to ship you know petabytes to over the network it's not going to work so that's kind of the the spectrum of multi cloud loosely coupled today going to this you know tightly coupled mesh your guys thoughts on that yeah that's that's a great point and and I would add to it or expand that even further to say that it's also driving behavioral fundamental behavioral and organizational challenges within a lot of organizations and large enterprises cloud and this multi cloud proliferation that you spoke about one of the other things that's done that we talked about but probably not enough is it's almost created this inversion situation where in the past you'd have the business saying to IT I need this I need this supply chain application I need this vendor relationship database I need this order processing system now with the emergence of this cloud and and how easy it is to consume and how cost-effective it is now you've got the IT guys and the engineers and the designers and the architects and the data scientists pushing ideas to the business hey we can expand our footprint and our reach dramatically if we do this so you've get this much more bi-directional conversation happening now which frankly a lot of traditional companies are still working their way through which is why you don't see you know 100% cloud adoption but it drives those very productive full-duplex conversations at a level that we've never seen before I mean we encounter clients every day who are having these discussions are sitting down across the table and IT is not just doesn't just have a seat at the table they are often driving the go-to-market strategy so that's a really interesting transformation that we see as well in addition to the technology so there are some amazing things happening Steve underneath the covers and the plumbing and infrastructure and look at we think infrastructure matters that's kind of why we're here we're infrastructure guys but I want to make a point so for decades this industry is marked to the cadence of Moore's law the idea that you can double processing speeds every 18 months disk drive processors disk drives you know they followed that curve you could plot it out the last ten years that started to attenuate so what happened is chip companies would start putting more cores on to the real estate well they're running out of real estate now so now what's happening is we've seen this emergence of alternative processors largely came from mobile now you have arm doing a lot of offload processing a lot of the storage processing that's getting offloaded those are ARM processors in video with GPUs powering a lot of a lot of a is yours even seeing FPGAs they're simple they're easy them to spin up Asics you know making a big comeback so you've seen these alternative processes processors powering things underneath where the x86 is and and of course they're still running applications on x86 so that's one sort of big thing big change in infrastructure to support this distributed systems the other is flash we saw flash basically take out spinning disk for all high-speed applications we're seeing the elimination of scuzzy which is a protocol that sits in between the the the disk you know and the rest of the network that's that's going away you're hearing things like nvme and rocky and PCIe basically allowing stores to directly talk to the so now a vision envision this multi-cloud system where you want to ship metadata and code anywhere these high speed capabilities interconnects low latency protocols are what sets that up so there's technology underneath this and obviously IBM is you know an inventor of a lot of this stuff that is really gonna power this next generation of workloads your comments yeah I think I think all that 100% true and I think the one component that we're fading a little bit about it even in the infrastructure is the infrastructure software right there's hardware we talked a lot talked about a lot of hardware component that are definitely evolving to get us better stronger faster more secure more reliable and that sort of thing and then there's also infrastructure software so not just the application databases or that sort of thing but but software to manage all this and I think in a hybrid multi cloud world you know you've got these multiple clauses for all practical purposes there's no way around it right marketing gets more value out of the Google analytic tools and Google's cloud and developers get more value out of using the tools in AWS they're gonna continue to use that at the end of the day I as a business though need to be able to extract the value from all of those things in order to make different business decisions to be able to move faster and surface my clients better there's hardware that's gonna help me accomplish that and then there are software things about managing that whole consetta component tree so that I can maximize the value across that entire stack and that stack is multiple clouds plus the internal clouds external clouds everything yeah so it's great point and you're seeing clear examples of companies investing in custom hardware you see you know Google has its own ship Amazon its own ship IBM's got you know power 9 on and on but none of this stuff works if you can't manage it so we talked before about programmable infrastructure we talked about the data plane and the control plane that software that's going to allow us to actually manage these multiple clouds as at least a quasi single entity you know something like a logical entity certainly within workload classes and in Nirvana across the entire you know network well and and the principal or the principle drivers of that evolution of course is containerization right so the containerization phenomenon and and you know obviously with our acquisition of red hat we're now very keenly aware and acutely plugged into the whole containerization phenomenon which is great we're you're seeing that becoming almost the I can't think of us a good metaphor but you're seeing containerization become the vernacular that's being spoken in multiple different types of reference architectures and use case environments that are vastly different in their characteristics whether they're high throughput low latency whether they're large volume whether they're edge specific whether they're more you know consolidated or hub-and-spoke models containerization is becoming the standard by which those architectures are being developed and with which they're being deployed so we think we're very well-positioned working with that emerging trend and that rapidly developing trend to instrument it in a way that makes it easier to deploy easier to instrument easier to develop so that's key and I want to sort of focus now on the relevance of IBM one side one thing that we understand because that that whole container is Asian think back to your original point Dave about moving data being very expensive and the fact that the fact that you want to move code out to the data now with containers microservices all of that stuff gets a lot easier development becomes a lot faster and you're actually pushing the speed of business faster well and the other key point is we talked about moving code you know to the data as you move the code to the data and run applications anywhere wherever the data is using containers the kubernetes etc you don't have to test it it's gonna run you know assuming you have the standard infrastructure in place to do that and the software to manage it that's huge because that means business agility it means better quality and speed alright let's talk about IBM the world is complex this stuff is not trivial the the more clouds we have the more edge we have the more data we have the more complex against IBM happens to be very good at complex three components of the innovation cocktail data AI and cloud IBM your customers have a lot of data you guys are good with data it's very strong analytics business artificial intelligence machine intelligence you've invested a lot in Watson that's a key component business and cloud you have a cloud it's not designed to compete not knock heads and the race to zero with with the cheap and deep you know storage clouds it's designed to really run workloads and applications but you've got all three ingredients as well you're going hard after the multi cloud world for you guys you've got infrastructure underneath you got hardware and software to manage that infrastructure all the modern stuff that we've talked about that's what's going to power the customers digital transformations and we'll talk about that in a moment but maybe you could expand on that in terms of IBM's relevance sure so so again using the kind of maker the maker economy metaphor bridging from that you know individual level of innovation and creativity and development to a broadly distributed you know globally available work loader or information source of some kind the process of that bridge is about scale and reach how do you scale it so that it runs effectively optimally is easily managed Hall looks and feels the same falls under the common umbrella of services and then how do you get it to as many endpoints as possible whether it's individuals or entities or agencies or whatever scale and reach iBM is all about scale and reach I mean that's kind of our stock and trade we we are able to take solutions from small kind of departmental level or kind of skunkworks level and make them large secure repeatable easily managed services and and make them as turnkey as possible our services organizations been doing it for decades exceptionally well our product portfolio supports that you talk about Watson and kind of the cognitive computing story we've been a thought leader in this space for decades I mean we didn't just arrive on the scene two years ago when machine learning and deep learning and IO ste started to become prominent and say this sounds interesting we're gonna plant our flag here we've been there we've been there for a long time so you know I kind of from an infrastructure perspective I kind of like to use the analogy that you know we are technology ethos is built on AI it's built on cognitive computing and and sort of adaptive computing every one of our portfolio products is imbued with that same capability so we use it internally we're kind of built from AI for AI so maybe that's the answer to this question of it so what do you say that somebody says well you know I want to buy you know my flash storage from pure AI one of my bi database from Oracle I want to buy my you know Intel servers from Dell you know whatever I want to I want to I want control and and and I gotta go build it myself why should I work with IBM do you do you get that a lot and how do you respond to that Steve I think I think this whole new data economy has opened up a lot of places for data to be stored anywhere I think at the end of the day it really comes down to management and one of the things that I was thinking about as you guys were we're conversing is the enterprise class or Enterprise need for things like security and protection that sort of thing that rounds out the software stack in our portfolio one of the things we can bring to the table is sure you can go by piece parts and component reform from different people that you want right and in that whole notion around fail-fast sure you can get some new things that might be a little bit faster that might be might be here first but one of the things that IBM takes a lot of pride was a lot of qual a lot of pride into is is the quality of their their delivery of both hardware and software right so so to me even though the infrastructure does matter quite a bit the question is is is how much into what degree so when you look at our core clients the global 2,000 right they want to fail fast they want to fail fast securely they want to fail fast and make sure they're protected they want to fail fast and make sure they're not accidentally giving away the keys to the kingdom at the end of the day a lot of the large vendor a lot of the large clients that we have need to be able to protect their are their IP their brain trust there but also need the flexibility to be creative and create new applications that gain new customer bases so the way I the way I look at it and when I talk to clients and when I talk to folks is is we want to give you them that while also making sure they're they're protected you know that said I would just add that that and 100% accurate depiction the data economy is really changing the way not only infrastructure is deployed and designed but the way it can be I mean it's opening up possibilities that didn't exist and there's new ones cropping up every day to your point if you want to go kind of best to breed or you want to have a solution that includes multi vendor solutions that's okay I mean the whole idea of using again for instance containerization thinking about kubernetes and docker for instance as a as a protocol standard or a platform standard across heterogeneous hardware that's fine like like we will still support that environment we believe there are significant additive advantages to to looking at IBM as a full solution or a full stack solution provider and our largest you know most mission critical application clients are doing that so we think we can tell a pretty compelling story and I would just finally add that we also often see situations where in the journey from the kind of maker to the largely deployed enterprise class workload there's a lot of pitfalls along the way and there's companies that will occasionally you know bump into one of them and come back six months later and say ok we encountered some scalability issues some security issues let's talk about how we can develop a new architecture that solves those problems without sacrificing any of our advanced capabilities all right let's talk about what this means for customers so everybody talks about digital transformation and digital business so what's the difference in a business in the digital business it's how they use data in order to leverage data to become one of those incumbent disruptors using Ginny's term you've got to have a modern infrastructure if you want to build this multi cloud you know connection point enterprise data pipeline to use your term Randy you've got to have modern infrastructure to do that that's low latency that allows me to ship data to code that allows me to run applet anywhere leave the data in place including the edge and really close that gap between those top five data you know value companies and yourselves now the other piece of that is you don't want to waste a lot of time and money managing infrastructure you've got to have intelligence infrastructure you've got to use modern infrastructure and you've got to redeploy those labor assets toward a higher value more productive for the company activities so we all know IT labor is a chop point and we spend more on IT labor managing Leung's provisioning servers tuning databases all that stuff that's gotta change in order for you to fund digital transformations so that to me is the big takeaway as to what it means for customer and we talked about that sorry what we talked about that all the time and specifically in the context of the enterprise data pipeline and within that pipeline kind of the newer generation machine learning deep learning cognitive workload phases the data scientists who are involved at various stages along the process are obviously kind of scarce resources they're very expensive so you can't afford for them to be burning cycles and managing environments you know spinning up VMs and moving data around and creating working sets and enriching metadata that they that's not the best use of their time so we've developed a portfolio of solutions specifically designed to optimize them as a resource as a very valuable resource so I would vehemently agree with your premise we talked about the rise of the infrastructure developer right so at the end of the day I'm glad you brought this topic up because it's not just customers it's personas Pete IBM talks to different personas within our client base or our prospect base about why is this infrastructure important to to them and one of the core components is skill if you have when we talk about this rise of the infrastructure developer what we mean is I need to be able to build composable intelligent programmatic infrastructure that I as IT can set up not have to worry about a lot of risk about it break have to do in a lot of troubleshooting but turn the keys over to the users now let them use the infrastructure in such a way that helps them get their job done better faster stronger but still keeps the business protected so don't make copies into production and screw stuff up there but if I want to make a copy of the data feel free go ahead and put it in a place that's safe and secure and it won't it won't get stolen and it also won't bring down the enterprise's is trying to do its business very key key components - we talked about I infused data protection and I infused storage at the end of the day it's what is an AI infused data center right it needs to be an intelligent data center and I don't have to spend a lot of time doing it the new IT person doesn't want to be troubleshooting all day long they want to be in looking at things like arm and vme what's that going to do for my business to make me more competitive that's where IT wants to be focused yeah and it's also we just to kind of again build on this this whole idea we haven't talked a lot about it but there's obviously a cost element to all this right I mean you know the enterprise's are still very cost-conscious and they're still trying to manage budgets and and they don't have an unlimited amount of capital resources so things like the ability to do fractional consumption so by you know pay paper drink right buy small bits of infrastructure and deploy them as you need and also to Steve's point and this is really Steve's kind of area of expertise and where he's a leader is kind of data efficiency you you also can't afford to have copy sprawl excessive data movement poor production schemes slow recovery times and recall times you've got a as especially as data volumes are ramping you know geometrically the efficiency piece and the cost piece is absolutely relevant and that's another one of the things that often gets lost in translation between kind of the maker level and the deployment level so I wanted to do a little thought exercise for those of you think that this is all you know bromide and des cloud 2.0 is also about we're moving from a world of cloud services to one where you have this mesh which is ubiquitous of of digital services you talked about intelligence Steve you know the intelligent data center so all these all these digital services what am I talking about AI blockchain 3d printing autonomous vehicles edge computing quantum RPA and all the other things on the Gartner hype cycle you'll be able to procure these as services they're part of this mesh so here's the thought exercise when do you think that owning and driving your own vehicle is no longer gonna be the norm right interesting thesis question like why do you ask the question well because these are some of the disruptions so the questions are designed to get you thinking about the potential disruptions you know is it possible that our children's children aren't gonna be driving their own car it's because it's a it's a cultural change when I was 16 year olds like I couldn't wait but you started to see a shifted quasi autonomous vehicles it's all sort of the rage personally I don't think they're quite ready yet but it's on the horizon okay I'll give you another one when will machines be able to make better diagnosis than doctors actually both of those are so so let's let's hit on autonomous and self-driving vehicles first I agree they're not there yet I will say that we have a pretty thriving business practice and competency around working with a das providers and and there's an interesting perception that a das autonomous driving projects are like there's okay there's ten of them around the world right maybe there's ten metal level hey das projects around the world what people often don't see is there is a gigantic ecosystem building around a das all the data sourcing all the telemetry all the hardware all the network support all the services I mean building around this is phenomenal it's growing at a had a ridiculous rate so we're very hooked into that we see tremendous growth opportunities there if I had to guess I would say within 10 to 12 years there will be functionally capable viable autonomous vehicles not everywhere but they will be you will be able as a consumer to purchase one yeah that's good okay and so that's good I agree that's a the time line is not you know within the next three to five years all right how about retail stores will well retail stores largely disappeared we're we're rainy I was just someplace the other day and I said there used to be a brick-and-mortar there and we were walking through the Cambridge Tseng Galleria and now the third floor there's no more stores right there's gonna be all offices they've shrunken down to just two floors of stores and I highly believe that it's because you know the brick you know the the retailers online are doing so well I mean think about it used to be tricky and how do you get in and and and I need the Walmart minute I go cuz I go get with Amazon and that became very difficult look at places like bombas or Casper or all the luggage plate all this little individual boutique selling online selling quickly never having to have to open up a store speed of deployment speed of product I mean it's it's it's phenomenal yeah and and frankly if if Amazon could and and they're investing billions of dollars and they're trying to solve the last mile problem if Amazon could figure out a way to deliver ninety five percent of their product catalog Prime within four to six hours brick-and-mortar stores would literally disappear within a month and I think that's a factual statement okay give me another one will banks lose control traditional banks lose control of the payment systems you can Moselle you see that banks are smart they're buying up you know fin tech companies but right these are entrenched yeah that's another one that's another one with an interesting philosophical element to it because people and some of its generational right like our parents generation would be horrified by the thought of taking a picture of a check or using blockchain or some kind of a FinTech coin or any kind of yeah exactly so Bitcoin might I do my dad ask you're not according I do I don't bit going to so we're gonna we're waiting it out though it's fine by the way I just wanted to mention that we don't hang out in the mall that's actually right across from our office I want to just add that to the previous comment so there is a philosophical piece of it they're like our generation we're fairly comfortable now because we've grown up in a sense with these technologies being adopted our children the concept of going to a bank for them will be foreign I mean it will make it all have no context for the content for the the the process of going to speak face to face to another human it just say it won't exist well will will automation whether its robotic process automation and other automation 3d printing will that begin to swing the pendulum back to onshore manufacturing maybe tariffs will help to but again the idea that machine intelligence increasingly will disrupt businesses there's no industry that's safe from disruption because of the data context that we talked about before Randy and I put together a you know IBM loves to use were big words of transformation agile and as a sales rep you're in the field and you're trying to think about okay what does that mean what does that mean for me to explain to my customer so he put together this whole thing about what his transformation mean to one of them was the taxi service right in the another one was retail so and not almost was fencers I mean you're hitting on on all the core things right but this transformation I mean it goes so deep and so wide when you think about exactly what Randy said before about uber just transforming just the taxi business retailers and taxis now and hotel chains and that's where the thing that know your customer they're getting all of that from data data that I'm putting it not that they're doing work to extract out of me that I'm putting in so that autonomous vehicle comes to pick up Steve Kenaston it knows that Steve likes iced coffee on his way to work gives me a coupon on a screen I hit the button it automatically stops at Starbucks for me and it pre-ordered it for me you're talking about that whole ecosystem wrapped around just autonomous vehicles and data now it's it's unbeliev we're not far off from the Minority Report era of like Anthem fuck advertising targeted at an individual in real time I mean that's gonna happen it's almost there now I mean you just use point you will get if I walk into Starbucks my phone says hey why don't you use some points while you're here Randy you know so so that's happening at facial recognition I mean that's all it's all coming together so and again underneath all this is infrastructure so infrastructure clearly matters if you don't have the infrastructure to power these new workloads you're drugged yeah and I would just add and I think we're all in agreement on that and and from from my perspective from an IBM perspective through my eyes I would say we're increasingly being viewed as kind of an arms dealer and that's a probably a horrible analogy but we're being used we're being viewed as a supplier to the providers of those services right so we provide the raw materials and the machinery and the tooling that enables those innovators to create those new services and do it quickly securely reliably repeatably at a at a reasonable cost right so it's it's a step back from direct engagement with consumer with with customers and clients and and architects but that's where our whole industry is going right we are increasingly more abstracted from the end consumer we're dealing with the sort of assembly we're dealing with the assemblers you know they take the pieces and assemble them and deliver the services so we're not as often doing the assembly as we are providing the raw materials guys great conversation I think we set a record tends to be like that so thank you very much for no problem yeah this is great thank you so much for watching everybody we'll see you next time you're watching the cube
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Survey Data Shows Momentum for IBM Red Hat But Questions Remain
>> From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE! (upbeat electronic music) Now, here's your host, Dave Vellante. >> Hi, everybody, this is Dave Vellante, and I want to share with you some recent survey data that talks to the IBM acquisition of Red Hat, which closed today. It's always really valuable to go out, talk to practitioners, see what they're doing, and it's a hard thing to do. It's very expensive to get this type of survey data. A lot of times, it's very much out of date. You might remember. Some of you might remember a company called the InfoPro. Its founder and CEO was Ken Male, and he raised some money from Gideon Gartner, and he had this awesome survey panel. Well, somehow it failed. Well, friends of mine at ETR, Enterprise Technology Research, have basically created a modern version of the InfoPro. It's the InfoPro on steroids with a modern interface and data science behind it. They've now been at this for 10 years. They built a panel of 4,500 users, practitioners that they can go to, a lot of C level folks, a lot of VP level and then some doers down at the engineering level, and they go out and periodically survey these folks, and one of the surveys they did back in October was what do you think of the IBM-Red Hat acquisition? And then they've periodically gone out and talked to customers of both Red Hat and IBM or both to get a sense of the sentiment. So given that the acquisition closed today, we wanted to share some of that data with you, and our friends at ETR shared with us some of their drill down data with us, and we're going to share it with you. So first of all, I want to summarize something that they said. Back in October, they said, "We view this acquisition as less of an attempt "by IBM to climb into the cloud game, cloud relevance, "but rather a strategic opportunity "to reboot IBM's early 1990s IT services business strategy." I couldn't agree with that more. I've said all along this is a services play connecting OpenShift from Red Hat into the what Ginni Rometty talks about as the 80% of the install base that is still on prem with the workloads at the backend of mission critical systems that need to be modernized. That's IBM's opportunity. That's why this is a front end loaded cashflow deal 'cause IBM can immediately start doing business through it services organization and generate cash. They went on to say, ETR said, "Here, IBM could position itself "as the de facto IT services partner "for Fortune 100 to Global 2000 organizations "and their digital transformations. "Therefore, in theory, this could reinvigorate "the global services business for IBM "and their overlapping customer bases "could alow IBM to recapture and accelerate a great deal "of service revenues that they have lost "over the past few years." Again, I couldn't agree more. It's less about a cloud play. It is definitely about a multi-cloud play, which is how IBM's positioning this, but services de-risks this entire acquisition in my opinion even though it's very large, 34 billion. Okay, I'm show you some data. So pull up this slide. So what ETR does is they'll go out. So this is a survey of right after the acquisition of about 132 Global 2000 practitioners across a bunch of different industries, energy, utilities, financial services, government, healthcare, IT, telco, retail consumers, so a nice cross section of industries and largely in North America but a healthy cross section of AMIA and APAC. And again, these are large enterprises. So what this slide shows is conditioned responses, which I love conditioned responses. It sort of forces people to answer which of the following best describes. But this says, "Given IBM's intent to acquire Red Hat, "do you believe your organization will be more likely "to use this new combination "or less likely in your digital transformation?" You can see here on the left hand side, the green, 23% positive, on the right hand side, 13% negative. So, the data doesn't necessarily support ETR's original conclusions and my belief that this all about services momentum because most IT people are going to wait and see. So you can see the fat middle there is 64%. Basically you're saying, "Yeah, we're going to wait and see. "This really doesn't change anything." But nonetheless, you see a meaningfully more positive sentiment than negative sentiment. The bottom half of this slide shows, the question is, "Do you believe that this acquisition "makes or will make IBM a legitimate competitor "in the cloud wars between AWS and Microsoft Azure?" You can see on the left hand side, it says 45% positive. Very few say, all the way on the left hand side, a very legitimate player in the cloud on par with AWS and Azure. I don't believe that's the case. But a majority said, "IBM is surely better off "with Red Hat than without Red Hat in the context of cloud." Again, I would agree with that. While I think this is largely a services play, it's also, as Stu Miniman pointed out in an earlier video with me, a cloud play. And you can see it's still 38% is negative on the right hand side. 15% absolutely not, IBM is far behind AWS and Azure in cloud. I would tend to agree with that, but IBM is different. They're trying to bring together its entire software portfolio so it has a competitive approach. It's not trying to take Azure and AWS head on. So you see 38% negative, 45% positive. Now, what the survey didn't do is really didn't talk to multi-cloud. This, to me, puts IBM at the forefront of multi-cloud, right in there with VMware. You got IBM-Red Hat, Google with Anthos, Cisco coming at it from a network perspective and, of course, Microsoft leveraging its large estate of software. So, maybe next time we can poke at the multi-cloud. Now, that survey was done of about over 150, about 157 in the Global 2000. Sorry, I apologize. That was was 137. The next chart that I'm going to show you is a sentiment chart that took a pulse periodically, which was 157 IT practitioners, C level executives, VPs and IT practitioners. And what this chart shows essentially is the spending intentions for Red Hat over time. Now, the green bars are really about the adoption rates, and you can see they fluctuate, and it's kind of the percentage on left hand side and time is on the horizontal axis. The red is the replacement. We're going to replace. We're not going to buy. We're going to replace. In the middle is that fat middle, we're going to stay flat. So the yellow line is essentially what ETR calls market share. It's really an indication of mind share in my opinion. And then the blue line is spending intentions net score. So what does that mean? What that means is they basically take the gray, which is staying the same, they subtract out the red, which is we're doing less, and they add in the we're going to do more. So what does this data show? Let's focus on the blue line. So you can see, you know, slightly declining, and then pretty significantly declining last summer, maybe that's 'cause people spend less in the summer, and then really dropping coming into the announcement of the acquisition in October of 2018, IBM announced the $34 billion acquisition of Red Hat. Look at the spike post announcement. The sentiment went way up. You have a meaningful jump. Now, you see a little dip in the April survey, and again, that might've been just an attenuation of the enthusiasm. Now, July is going on right now, so that's why it's phased out, but we'll come back and check that data later. So, and then you can see this sort of similar trend with what they call market share, which, to me, is, again, really mind share and kind of sentiment. You can see the significant uptick in momentum coming out of the announcement. So people are generally pretty enthusiastic. Again, remember, these are customers of IBM, customers of Red Hat and customer of both. Now, let's see what the practitioners said. Let's go to some of the open endeds. What I love about ETR is they actually don't just do the hardcore data, they actually ask people open ended questions. So let's put this slide up and share with you some of the drill down statements that I thought were quite relevant. The first one is right on. "Assuming IBM does not try to increase subscription costs "for RHEL," Red Hat Enterprise Linux, "then its organizational issues over sales "and support should go away. "This should fix an issue where enterprises "were moving away from RHEL to lower cost alternatives "with significant movement to other vendors. "This plus IBM's purchase of SoftLayer and deployment "of CloudFoundry will make it harder "for Fortune 1000 companies to move away from IBM." So a lot implied things in there. The first thing I want to mention is IBM has a nasty habit when it buys companies, particularly software companies, to raise prices. You certainly saw this with SPSS. You saw this with other smaller acquisitions like Ustream. Cognos customers complained about that. IBM buys software companies with large install bases. It's got a lock in spec. It'll raise prices. It works because financially it's clearly worked for IBM, but it sometimes ticks off customers. So IBM has said it's going to keep Red Hat separate. Let's see what it does from a pricing standpoint. The next comment here is kind of interesting. "IBM has been trying hard to "transition to cloud-service model. "However, its transition has not been successful "even in the private-cloud domain." So basically these guys are saying something that I've just said is that IBM's cloud strategy essentially failed to meet its expectations. That's why it has to go out and spend $34 billion with Red Hat. While it's certainly transformed IBM in some respects, IBM's still largely a services company, not as competitive as cloud as it would've liked. So this guys says, "let alone in this fiercely competitive "public cloud domain." They're not number one. "One of the reasons, probably the most important one, "is IBM itself does not have a cloudOS product. "So, acquiring Red Hat will give IBM "some competitive advantage going forward." Interesting comments. Let's take a look at some of the other ones here. I think this is right on, too. "I don't think IBM's goal is to challenge AWS "or Azure directly." 100% agree. That's why they got rid of the low end intel business because it's not trying to be in the commodity businesses. They cannot compete with AWS and Azure in terms of the cost structure of cloud infrastructure. No way. "It's more to go after hybrid multi-cloud." Ginni Rometty said today at the announcement, "We're the only hybrid multi-cloud, opensource vendor out there. Now, the third piece of that opensource I think is less important than competing in hybrid and multi-cloud. Clearly Red hat gives IMB a better position to do this with CoreOS, CentOS. And so is it worth 34 billion? This individual thinks it is. So it's a vice president of a financial insurance organization, again, IBM's strong house. So you can here some of the other comments here. "For customers doing significant business "with IBM Global Services teams." Again, outsourcing, it's a 10-plus billion dollar opportunity for IBM to monetize over the next five years, in my opinion. "This acquisition could help IBM "drive some of those customers "toward a multi-cloud strategy "that also includes IBM's cloud." Yes, it's a very much of a play that will integrate services, Red Hat, Linux, OpenShift, and of course, IBM's cloud, sprinkle in a little Watson, throw in some hardware that IBM has a captive channel so the storage guys and the server guys can sell their hardware in there if the customer doesn't care. So it's a big integrated services play. "Positioning Red Hat, and empowering them "across legacy IBM silos, will determine if this works." Again, couldn't agree more. These are very insightful comments. This is a largely a services and an integration play. Hybrid cloud, multi-cloud is complex. IBM loves complexity. IBM's services organization is number one in the industry. Red Hat gives it an ingredient that it didn't have before other than as a partner. IBM now owns that intellectual property and can really go hard and lean in to that services opportunity. Okay, so thanks to our friends at Enterprise Technology Research for sharing that data, and thank you for watching theCUBE. This is Dave Vellante signing off for now. Talk to you soon. (upbeat electronic music)
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Breaking Analysis: IBM Completes $34B Red Hat Acquisition
from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape hi everybody Dave Volante here with Stu minumum we have some breaking analysis we're gonna break down the acquisition of IBM Red Hat by IBM was announced today that it closed Stu was originally announced in October a 34 billion dollar acquisition so not a surprise surprise that it closed a little bit earlier than people thought people would thinkin you know well into the second half closed in July they got through all the all the issues in Europe what does this mean in your view to the industry yeah so Dave we did a lot of analysis when the deal was announced absolutely the the cloud and the ripples of change that are happening because of cloud are the impetus for this and you know the the question we've been having for years Dave is you know how many companies can stay kind of independent in you know their swimlane to what they're doing or are we going to see more massive consolidations we're not that far off of the 67 billion dollar acquisition of Dell buying EMC to go heavily into the enterprise market and of course there are cloud implications what happened there and you know we're watching the growth of cloud what's happening in the developer world you know we've watched Red Hat for a long time and you know Red Hat has a nice position in the world and it carved themselves out a nice role into what has been emerging as hybrid and multi cloud and in my opinion that's you know the number one reason why arvind and the IBM team you know when to take that 20-year partnership and turn it into you know now just part of the IBM portfolio Arvind Krishna executive at IBM a longtime player there so the the the deal is so you talked about Dells acquisition we've talked a lot about the VMware model keeping the company separate and of course Red Hat is not going to be a separately traded public company it is going to be a distinct unit inside of IBM's cloud and cognitive software group as I understand it is that right so the question is will it be reported separately or is it going to be oh we're gonna throw everything into our cloud number yeah so Dave this is where all of us that have watched and known IBM you know for our entire careers because they've been around over a hundred years on ask what's going to happen so from a reporting structure Jim Whitehurst reports to Ginny from a Wall Street standpoint it sounds like it's gonna be just thrown into the cloud piece you know Dave isn't it that the the the standard practice today that you throw lots of stuff in there so we can't figure out what your cloud business really is I mean let's look at Oracle or even Microsoft and what they had you know Amazon's probably the only one that clearly differentiates you know this is revenue that we all understand is cloud and can you know touch and feel it so sure I IBM you know you've got all of the the piece that used to be soft layer it's now the IBM cloud piece there are lots of software pieces in that mix the cloud and cognitive is a big umbrella and you know Red Hat adds a few billion dollars worth of revenue into that stream so IBM's assumptions here juni talks a lot about chapter two chapter one was a lot of front-end systems that sort of the growth was everybody thought everything was going into the cloud that's really not the way it is 80% of the workloads are still on Prem and in Chapter two was all about you know connecting those to any cloud multi-cloud heard her words the IBM cloud or the Amazon Google or Microsoft cloud etc etc she made the statement that that we are the only hybrid multi-cloud open source company okay I guess that's true does it matter that they're the only hybrid multi-cloud open source company and are they yeah so I mean Dave anytime a vendor tries to paint themselves as the number one or you know leader in the space it's you know that's how they're defining it that's not how customers think of it customers you know don't think is much about whether it's multi cloud or hybrid cloud they're doing cloud and they're working with you know more than one supplier it is very rare that you find somebody I'm all-in and then you dig in oh yeah wait I'm using office 365 and Salesforce and oh wait there was that cool new thing that Google announced that somebody off on the sides doing so we understand that today it's a multi cloud world tomorrow to be a multi cloud we're absolutely open source is growing you know at great leaps and bounds Red Hat is you know the you know best example we've had of that that trend something I've been watching for the last 20 years and you know it is impressive to see it but you know even when you talk to customers of you know most customers are not you know flag-waving I must do everything open-source you know that they have a little bit more nuanced view of it sure lots of companies are participating in contributing to open source but you know I've yet to talk to too many companies that were like well when I'm making this decision you know this is absolutely what it is am i concerned about my overall costs and I'm concerned about transparency am i concerned about you know security and how fast I can get things resolved and by the way open-source can help with a lot of those things that's what they need to think about but look IBM you know had a longtime partnership with Red Hat Red Hat has a strong position in the marketplace but they're not the only ones there you know you mentioned VMware Dave VMware cross has a strong play across multi cloud environments you know we see Red Hat at all of the cloud shows you see yeah IBM at many of the cloud shows but you've got Cisco out there with their play it is still you know this this chapter - if you agree with Ginny's terminology we are relatively early in that but you know IBM I believe is strengthened in their positioning I don't think it radically changes the landscape just because you know Red Hat is still going to stay you know working with the Amazons and Microsoft and Google's and and and other players out there so it doesn't dramatically change the landscape it just consolidates two players that already worked closely let me ask a question so I mean was clearly positioning this as a cloud play you know generally and you know in a multi cloud specifically is this a cloud play okay um so I'll say yes but Dave so absolutely the future and where the growth for Red Hat and where IBM and for this thirty four billion dollars to be successful the tip of the spear is open shift and therefore you know how does that new cloud native multi cloud environment you know where do they play but at its core you know red heads still Linux Red Hat Enterprise Linux you know is it stills you know that is the primary driver of revenue and Linux isn't going away as a matter of fact Linux is growing Microsoft you know just revealed that there are more Linux workloads sitting in Azure than there are windows we already knew that there were you know strong Linux out there and Microsoft is embrace Linux we saw Satya Nadella at Red Hat summit and you know we've seen that proliferation of linux out there so linux is still you know growing in it where it's being used out there and in the cloud you know linux is what most people are using so the reason why I think this acquisition is interesting Jim Whitehurst today said publicly that it was a great deal that IBM was getting but then he couched he said of course it's a great deal for our shareholders too so and Ginni chimed in and said yes it was a fair deal okay fine 34 billion you know we'll see the reason why I think IBM likes this deal and IBM you know generally has been been good over in history with acquisitions you know clearly some mega acquisitions like PwC which was transformative me we have time to talk about that Cognos and some of the other software acquisitions done quite well not a hundred percent but the reason why I think IBM likes this deal is because it's a good cash flow deal so I think in many ways and they don't talk about this because it's not sexy marketing but iBM is a services company over 60% of the company's revenue comes from professional services IBM loves complexity because they can bring in services throw the big blue blanket around you and do a lot of integration work and the reason is that I think this is an interesting acquisition from from a financial standpoint and Ginny says this all the time this is not about cost synergies this is about revenue opportunities when you try to put everything in the cloud you always run into the back-end systems and her point is that those back-end systems need to be modernized how do you modernize those back-end systems openshift it's not trivial to do that you need services and so iBM has a large install base probably by my estimate you know certainly tens of billions of dollars of opportunity there to modernize back-end systems using Red Hat technology and that means that it's a front-loaded deal from a cash flow standpoint that they will find automatically revenue Cyn to plug in to IBM's captive install base what are your thoughts yeah Dave III think that your analysis is spot-on so RedHat has been one of these most consistent you know revenue companies out there you steadily when they went from a billion dollars to now they're right around three billion dollars they had the March to five billion dollars they had a couple of minor blips in their quarterly earnings but if you plug in that IBM services organization you really have the opportunity to supercharge this is not the opportunity is to have that that huge IBM services organization really helped you know grow those engagements do more openshift you know get more Linux help ansible you know really become the standard for you know automation in the modern workplace the challenge is that too many IBM people get involved because the the thing that everybody's a little worried about is IBM's done well with a lot of those acquisitions but they don't leave them stand alone even you know VMware for many years was a standalone company today VMware in Dell they're one company they're in lockstep from a management standpoint and they're working closely together what differentiates RedHat is you know iBM has groups that are much larger than RedHat that do some of the same things but RedHat with their open-source mission and and where they're driving things and the innovation they drive they move a little bit faster than IBM traditionally does so can will the Red Hat brand the Red Hat people and Red Hat still stay independent enough so that they can till you know hop on that next wave you know they they jumped early into kubernetes and that was the wave that really helped them drive for what they're doing the open shift you know even Dave you know Red Hat ahead bought core OS which was a smaller company moving even faster than Red Hat and while they've done a really good job of integrating those people absolutely from what I've heard it is slowed things down a little bit just because Red Hat compared to core OS was a much bigger company and of course IBM is a be a myth compared to Red Hat so will they throw these groups together and you know who will be making the decisions and can they you know maintain that that culture and that growth mindset well the point is structure we bring up VMware a lot as the model and of course when EMC bought VMware for paltry six hundred million six thirty five million dollars it folded it in and then spun it back out which was the right move certainly allowed the ecosystem to blossom I don't think IBM is gonna take that same approach blue wash is the term they'll probably blue wash that now cuz no Dave they said iBM has said they will not blue eyes there's no purple red stay separate absolutely there's concerns you know so to get those revenue synergies there's there's you're gonna have to plug into IBM systems and that requires some some work and IBM generally good at that so we'll see we'll keep our eyes on that it's but but I would predict that IBM is not going to do a VMware like well it's going to be some kind of hybrid Dave one of the other things is you talked about so Jim Whitehurst you know executive respective had him on the cube a lot he's reporting to Ginny you know the question is is this Ginny's last big move and who replaces her yeah let's talk about succession planning so a lot of a lot of rumors that Whitehurst is is next he's 52 years old I've said I don't I don't think they would do that but but let's talk about it first of all just you know Jim white her side sort of interviewed him the number of times but but you know I'm quite well you think even watch the job so you know I talked with Jim a little bit at red hat summit you know he kind of makes light of it he said you know knowing IBM the way we all know IBM IBM has always taken somebody from inside to do that he feels that he has a strong mission still to drive Red Hat he is super passionate about Red Hat he wrote a book book about the open source culture and is still driving that so I think from everything I see from him that's still the job that he loves and wants to do and you know it's a very different challenge to run IBM I'm not saying he would turn it down if that was the direction that it went if it went down to it but I did not see him angling and positioning like that would be where he wants to go well and of course you know Jim is from North Carolina he's got that kind of southern folksy demeanor you know comes across as the so the nicest guy in the room he's also the smartest guy in the room but oh we'll see we'll see what happens there I've said that I think Martin Schroder is going to be the next CEO of IBM Martin Schroder did three years of combat duty as the CFO in in what was a tough time for IBM to be a CFO they were going through those big transitions talking about you know they had to had to do the the SoftLayer acquisition they had to put together those strategic initiatives and so he's has he has CFO chops so he understands finance deeply he ran you know when IBM's big services business he's now responsible for IBM's revenue generation he's a spokesperson you know in many ways for the company he's like the prototypical choice he would not be surprising at all to see IBM plug him right in a little bit of history as you know still him a bit of a history historian of the industry have been around for a while John Akers back in the early 1990s when IBM's mainframe business was was tanking and the whole company was was tanking and it was at the risk of actually believe it or not running out of money they were gonna split up the company because the industry was breaking apart Intel and microprocessors Microsoft and software C gated disk drives you know Oracle and databases and to be more competitive from a product standpoint they were gonna split the company up into pieces Gerstner came in and said no way Gerson it was you know CEO of American Express said no that's not how customers want to buy he bought PwC for a song compared to what Carly Fiorina at HP a Carly Fiorina at HP wanted to pay I think 15 billion for it I want to say IBM paid five billion or maybe even less for PwC it completely transformed the company it transformed IBM into a services company and that's where what IBM is today they don't like when you say that but that's where the revenue was coming from what that did now and they also started to buy software companies IBM was restricted from getting into applications for years and years and years because of the DOJ because they owned the mainframe they had a monopoly while Microsoft and Intel changed all that IBM started to buy software companies and bought lots of them so they became a services company with a collection of software assets and the main mainframe and you know the power they have a storage business and you know Finance I'd be a global finance business etc etc so my my point is I'm not sure Jim Whitehurst would want to run that you know it's it's kind of messy now what you need run that is somebody who really understands finance knows how to turn the knobs and that's why I think you know Martin Schroeder is actually an excellent pick for that to keep the cash flow going to keep the dividend going to keep the stock buybacks going it's still in my view not a growth play I think there's certainly near-term growth that can be had by modernizing applications but I don't look at IBM as a growth company I look at IBM as a portfolio company that throws off a lot of cash and if and when the market stops rewarding growth and profit list growth a company like IBM will become more favorable to investors yeah and the question at the end of the day is after spending thirty four billion dollars for red hat does IBM help weather the storm of what is happening with the phenomenal growth of AWS the changes happening in Microsoft build more of a relationship than they've already had with Google and help position themselves for this next wave of IT there's IBM helped create a lot of the waves that you know happen in IT well the pure play cloud players are in it for the long game you know you know Amazon's philosophy is give tools to builders and allow them to disrupt the you know traditional old guard whether it's old guard technology companies or old guard industry players and you've seen the stat of how many Fortune 1000 companies or you know have gone out of business in the last 20 or 30 years or whatever it is that's going to continue and Amazon and and certainly Google and Microsoft want to support that disruption by providing cloud tooling and put the data in the hands of people that allows them to create new business models now that doesn't mean everybody's gonna throw up there mainframes it's it's not gonna happen it's certainly not gonna happen overnight and probably will never happen but I just don't see how IBM becomes a growth company in that scenario the growth is going to be continue to be with the cloud well but Dave we had seen IBM I'd say struggle a little bit when it comes to the the developers these days and the Red Hat acquisition is definitely going to be a boon to them in this space because Red Hat all about the developers that that's what you know that their customers are so you know that that's such a huge community that they've already tapped into so Ginny has said this hybrid multi-cloud is a chapter two with a trillion dollar opportunity so who else is going after that trillion dollar opportunity let's let's lay it out there who are the multi cloud players VMware obviously IBM Red Hat with open shift is in there Google with anthos Cisco is coming at it from a network perspective so they have coming at it from their position of strength even though you know you know they're relatively new entrants well ever everybody wants to be the new management layer in this multi cloud environment what VMware had done is had you know vCenter became you know the console for everyone as they were consolidating all of their silos and when I go to a multi cloud environment right where do I live you know Microsoft has a strong play there that's the other you know VMware IBM Red Hat anthos Google Mentos Cisco and Microsoft yeah and of course the one that while they won't say that they are multi cloud you can't talk about multi cloud without talking about Amazon because Amazon is a piece of everyone's cloud environment we were seeing what they're doing with outpost there so they are the kind of Spectre looming over this entire multi-cloud discuss yeah right on I think you got to put Amazon into that mix they will be an entrance into this multi cloud play and it's not gonna be a winner-take-all deal I could say cisco is coming at it from a position of networking strength Microsoft has its software estate and it's gonna do very well there IBM Red Hat coming at it from a standpoint of modernizing applications and there's a services could play and services component there and VMware of course coming at it from the the infrastructure operating system I don't see Oracle as interested in that market there may be some smaller players like turbo anomic you know who probably get gobbled up by one of these guys that we just mentioned but that really is the landscape and this is you know five six companies a trillion dollars there's plenty to go around all right Stu final thoughts on on the the Red Hat news the IBM news that they've finalized the Red Hat acquisition yes so you know what you want to look for is you know first of all you know what's happening organizationally you know if open shift is the primary you know the the tip of the sphere what we're talking about here for this you know cloud native multi-cloud world you know what does you know the IBM Cloud messaging looked like they're gonna have an analyst event here in a couple of weeks that you know that they've invited all the analysts to going into what does that cloud portfolio looks like how do they sort through all of the kubernetes options that they've had today do they try to elevate IBM cloud to be a stronger player or will they let Red Hat continue to play across all of the cloud environments that they have so you know organization and product positioning of the two things that I'm looking at the most Tom Siebel said publicly yesterday that IBM is a great company national international treasure but they miss cloud and they missed a I I wouldn't agree totally they didn't miss cloud they were late to cloud they had to buy software they're in cloud just like Oracle's in cloud not as competitive as the AWS cloud but they're they've got a cloud yeah HP doesn't have a cloud Dell doesn't have a cloud these these two companies that I just mentioned do AI yeah they're not sound of generalized AI like what Google and Amazon and Facebook and Microsoft are doing IBM's trying to solve you know big chewy problems iBM is a services company as they said so you know Watson you see a lot of negative stories about Watson but Watson requires a lot of services to make it work and it's as they say solving different problems so they're a player in AI multi cloud is new and this move the acquisition of red hat yes thirty four billion dollars expensive it's not gonna be pretty on the balance sheet but they get good cash flow so they'll deal with that over time it puts them right in the mix as a leader in multi cloud so thanks to for breaking down the the acquisition and thank you for watching this is Dave Volante what's do min and then we'll see you next time
**Summary and Sentiment Analysis are not been shown because of improper transcript**
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theCUBE Insights | IBM CDO Summit 2019
>> Live from San Francisco, California, it's theCUBE covering the IBM Chief Data Officer Summit. Brought to you by IBM. >> Hi everybody, welcome back to theCUBE's coverage of the IBM Chief Data Officer Event. We're here at Fisherman's Wharf in San Francisco at the Centric Hyatt Hotel. This is the 10th anniversary of IBM's Chief Data Officer Summits. In the recent years, anyway, they do one in San Francisco and one in Boston each year, and theCUBE has covered a number of them. I think this is our eighth CDO conference. I'm Dave Vellante, and theCUBE, we like to go out, especially to events like this that are intimate, there's about 140 chief data officers here. We've had the chief data officer from AstraZeneca on, even though he doesn't take that title. We've got a panel coming up later on in the day. And I want to talk about the evolution of that role. The chief data officer emerged out of kind of a wonky, back-office role. It was all about 10, 12 years ago, data quality, master data management, governance, compliance. And as the whole big data meme came into focus and people were realizing that data is the new source of competitive advantage, that data was going to be a source of innovation, what happened was that role emerged, that CDO, chief data officer role, emerged out of the back office and came right to the front and center. And the chief data officer really started to better understand and help companies understand how to monetize the data. Now monetization of data could mean more revenue. It could mean cutting costs. It could mean lowering risk. It could mean, in a hospital situation, saving lives, sort of broad definition of monetization. But it was really understanding how data contributed to value, and then finding ways to operationalize that to speed up time to value, to lower cost, to lower risk. And that required a lot of things. It required new skill sets, new training. It required a partnership with the lines of business. It required new technologies like artificial intelligence, which have just only recently come into a point where it's gone mainstream. Of course, when I started in the business several years ago, AI was the hot topic, but you didn't have the compute power. You didn't have the data, you didn't have the cloud. So we see the new innovation engine, not as Moore's Law, the doubling of transistors every 18 months, doubling of performance. Really no, we see the new innovation cocktail as data as the substrate, applying machine intelligence to that data, and then scaling it with the cloud. And through that cloud model, being able to attract startups and innovation. I come back to the chief data officer here, and IBM Chief Data Officer Summit, that's really where the chief data officer comes in. Now, the role in the organization is fuzzy. If you ask people what's a chief data officer, you'll get 20 different answers. Many answers are focused on compliance, particularly in what emerged, again, in those regulated industries: financial service, healthcare, and government. Those are the first to have chief data officers. But now CDOs have gone mainstream. So what we're seeing here from IBM is the broadening of that role and that definition and those responsibilities. Confusing things is the chief digital officer or the chief analytics officer. Those are roles that have also emerged, so there's a lot of overlap and a lot of fuzziness. To whom should the chief data officer report? Many say it should not be the CIO. Many say they should be peers. Many say the CIO's responsibility is similar to the chief data officer, getting value out of data, although I would argue that's never really been the case. The role of the CIO has largely been to make sure that the technology infrastructure works and that applications are delivered with high availability, with great performance, and are able to be developed in an agile manner. That's sort of a more recent sort of phenomenon that's come forth. And the chief digital officer is really around the company's face. What does that company's brand look like? What does that company's go-to-market look like? What does the customer see? Whereas the chief data officer's really been around the data strategy, what the sort of framework should be around compliance and governance, and, again, monetization. Not that they're responsible for the monetization, but they responsible for setting that framework and then communicating it across the company, accelerating the skill sets and the training of existing staff and complementing with new staff and really driving that framework throughout the organization in partnership with the chief digital officer, the chief analytics officer, and the chief information officer. That's how I see it anyway. Martin Schroeder, the senior vice president of IBM, came on today with Inderpal Bhandari, who is the chief data officer of IBM, the global chief data officer. Martin Schroeder used to be the CFO at IBM. He talked a lot, kind of borrowing from Ginni Rometty's themes in previous conferences, chapter one of digital which he called random acts of digital, and chapter two is how to take this mainstream. IBM makes a big deal out of the fact that it doesn't appropriate your data, particularly your personal data, to sell ads. IBM's obviously in the B2B business, so that's IBM's little back-ended shot at Google and Facebook and Amazon who obviously appropriate our data to sell ads or sell goods. IBM doesn't do that. I'm interested in IBM's opinion on big tech. There's a lot of conversations now. Elizabeth Warren wants to break up big tech. IBM was under the watchful eye of the DOJ 25 years ago, 30 years ago. IBM essentially had a monopoly in the business, and the DOJ wanted to make sure that IBM wasn't using that monopoly to hurt consumers and competitors. Now what IBM did, the DOJ ruled that IBM had to separate its applications business, actually couldn't be in the applications business. Another ruling was that they had to publish the interfaces to IBM mainframes so that competitors could actually build plug-compatible products. That was the world back then. It was all about peripherals plugging into mainframes and sort of applications being developed. So the DOJ took away IBM's power. Fast forward 30 years, now we're hearing Google, Amazon, and Facebook coming under fire from politicians. Should they break up those companies? Now those companies are probably the three leaders in AI. IBM might debate that. I think generally, at theCUBE and SiliconANGLE, we believe that those three companies are leading the charge in AI, along with China Inc: Alibaba, Tencent, Baidu, et cetera, and the Chinese government. So here's the question. What would happen if you broke up big tech? I would surmise that if you break up big tech, those little techs that you break up, Amazon Web Services, WhatsApp, Instagram, those little techs would get bigger. Now, however, the government is implying that it wants to break those up because those entities have access to our data. Google's got access to all the search data. If you start splitting them up, that'll make it harder for them to leverage that data. I would argue those small techs would get bigger, number one. Number two, I would argue if you're worried about China, which clearly you're seeing President Trump is worried about China, placing tariffs on China, playing hardball with China, which is not necessarily a bad thing. In fact, I think it's a good thing because China has been accused, and we all know, of taking IP, stealing IP essentially, and really not putting in those IP protections. So, okay, playing hardball to try to get a quid pro quo on IP protections is a good thing. Not good for trade long term. I'd like to see those trade barriers go away, but if it's a negotiation tactic, okay. I can live with it. However, going after the three AI leaders, Amazon, Facebook, and Google, and trying to take them down or break them up, actually, if you're a nationalist, could be a bad thing. Why would you want to handcuff the AI leaders? Third point is unless they're breaking the law. So I think that should be the decision point. Are those three companies, and others, using monopoly power to thwart competition? I would argue that Microsoft actually did use its monopoly power back in the '80s and '90s, in particular in the '90s, when it put Netscape out of business, it put Lotus out of business, it put WordPerfect out of business, it put Novell out of the business. Now, maybe those are strong words, but in fact, Microsoft's bundling, its pricing practices, caught those companies off guard. Remember, Jim Barksdale, the CEO of Netscape, said we don't need the browser. He was wrong. Microsoft killed Netscape by bundling Internet Explorer into its operating system. So the DOJ stepped in, some would argue too late, and put handcuffs on Microsoft so they couldn't use that monopoly power. And I would argue that you saw from that two things. One, granted, Microsoft was overly focused on Windows. That was kind of their raison d'etre, and they missed a lot of other opportunities. But the DOJ definitely slowed them down, and I think appropriately. And if out of that myopic focus on Windows, and to a certain extent, the Department of Justice and the government, the FTC as well, you saw the emergence of internet companies. Now, Microsoft did a major pivot to the internet. They didn't do a major pivot to the cloud until Satya Nadella came in, and now Microsoft is one of those other big tech companies that is under the watchful eye. But I think Microsoft went through that and perhaps learned its lesson. We'll see what happens with Facebook, Google, and Amazon. Facebook, in particular, seems to be conflicted right now. Should we take down a video that has somewhat fake news implications or is a deep hack? Or should we just dial down? We saw this recently with Facebook. They dialed down the promotion. So you almost see Facebook trying to have its cake and eat it too, which personally, I don't think that's the right approach. I think Facebook either has to say damn the torpedoes. It's open content, we're going to promote it. Or do the right thing and take those videos down, those fake news videos. It can't have it both ways. So Facebook seems to be somewhat conflicted. They are probably under the most scrutiny now, as well as Google, who's being accused, anyway, certainly we've seen this in the EU, of promoting its own ads over its competitors' ads. So people are going to be watching that. And, of course, Amazon just having too much power. Having too much power is not necessarily an indication of abusing monopoly power, but you know the government is watching. So that bears watching. theCUBE is going to be covering that. We'll be here all day, covering the IBM CDO event. I'm Dave Vallente, you're watching theCUBE. #IBMCDO, DM us or Tweet us @theCUBE. I'm @Dvallente, keep it right there. We'll be right back right after this short break. (upbeat music)
SUMMARY :
Brought to you by IBM. Those are the first to
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Inderpal Bhandari & Martin Schroeter, IBM | IBM CDO Summit 2019
(electronica) >> Live, from San Francisco, California it's theCube. Covering the IBM Chief Data Officer Summit. Brought to you by IBM. >> We're back at Fisherman's Wharf covering the IBM Chief Data Officer event, the 10th anniversary. You're watching theCube, the leader in live tech coverage. Just off the keynotes, Martin Schroeter is here as the Senior Vice President of IBM Global Markets responsible for revenue, profit, IBM's brand, just a few important things. Martin, welcome to theCube. >> They're important, they're important. >> Inderpal Bhandari, Cube alum, Global Chief Data Officer at IBM. Good to see you again. >> Good to see you Dave, >> So you guys, just off the keynotes, Martin, you talked a lot about disruption, things like digital trade that we're going to get into, digital transformation. What are you hearing when you talk to clients? You spent a lot of time as the CFO. >> I did. >> Now you're spending a lot of time with clients. What are they telling you about disruption and digital transformation? >> Yeah, you know the interesting thing Dave, is the first thing every CEO starts with now is that "I run a technology company." And it doesn't matter if they're writing code or manufacturing corrugated cardboard boxes, every CEO believes they are running a technology company. Now interestingly, maybe we could've predicted this already five or six years ago because we run a CEO survey, we run a CFO, we run surveys of the C-suite. And already about five years ago, technology was number one on the CEO's list of what's going to change their company in the next 3-5 years. It led. The CFO lagged, the CMO lagged, everyone else. Like, CEO saw it first. So CEOs now believe they are running technology businesses, and when you run a technology business, that means you have to fundamentally change the way you work, how you work, who does the work, and how you're finding and reaching and engaging with your clients. So when we talk, we shorthand of digitizing the enterprise. Or, what does it mean to become a digitally enable enterprise? It really is about how to use today's technology embedded into your workflows to make sure you don't get disintermediated from your clients? And you're bringing them value at every step, every touchpoint of their journey. >> So that brings up a point. Every CEO I talk to is trying to get "digital right." And that comes back to the data. Now you're of course, biased on that. But what are your thoughts on a digital business? Is digital businesses all about how they use data and leverage data? What does it mean to get "digital right" in your view? >> So data has to be the starting point. You actually do see examples of companies that'll start out on a digital transformation, or a technology transformation, and then eventually back into the data transformation. So in a sense, you've got to have the digital piece of it, which is really the experience that users have of the products of the company, as well as the technology, which is kind of the backend engines that are running. But also the workflow, and being able to infuse AI into workflows. And then data, because everything really rides on the data being in good enough shape to be able to pull all this off. So eventually people realize that really it's not just a digital transformation or technology transformation, but it is a data transformation to begin with. >> And you guys have talked a lot at this event, at least this pre-event, I've talked to people about operationalizing AI, that's a big part of your responsibilities. How do you feel about where you're at? I mean, it's a journey I know. You're never done. But feel like you're making some good progress there? Internally at IBM specifically. >> Yes, internally at IBM. Very good progress. Because our whole goal is to infuse AI into every major business process, and touch every IBM. So that's the whole goal of what we've been doing for the last few years. And we're already at the stage where our central AI and data platform for this year, over 100,000 active users will be making use of it on a regular basis. So we think we're pretty far along in terms of our transformation. And the whole goal behind this summit and the previous summits as you know, Dave, has been to use that as a showcase for our clients and customers so that they can replicate that journey as well. >> So we heard Ginni Rometty two IBM thinks ago talk about incumbent disruptors, which resonates, 'cause IBM's an incumbent disruptor. You talked about Chapter One being random acts of digital. and then Chapter Two is sort of how to take that mainstream. So what do you see as the next wave, Martin? >> Well as Inderpal said, and if I use us as an example. Now, we are using AI heavily. We have an advantage, right? We have this thing called IBM Research, one of the most prolific Inventors of Things still leads the world. You know we still lead the world in patents so have the benefit. For our our clients, however, we have to help them down that journey. And the clients today are on a journey of finding the right hybrid cloud solution that gives them bridges sort of "I have this data. "The incumbency advantage of having data," along with "Where are the tools and "where is the compute power that I need to take advantage of the data." So they're on that journey at the same time they're on the journey as Inderpal said, of embedding it into their workflows. So for IBM, the company that's always lived sort of at the intersection of technology and business, that's what we're helping our clients to do today. Helping them take their incumbent advantage of data, having data, helping them co-create. We're working with them to co-create solutions that they can deploy and then helping them to put that into work, into production, if you will, in their environments and in their workflows. >> So one of the things you stressed today, two of the things. You've talked about transparency, and open digital trade. I want to get into the latter, but talk about what's important in Chapter Two. Just, what are those ingredients of success? You've talked about things like free flow of data, prevent data localization, mandates, and protect algorithms and source codes. You also made another statement which is very powerful "IBM is never giving up its source code to our government, and we'd leave the country first." >> We wouldn't give up our source code. >> So what are some of those success factors that we need to be thinking about in that context? >> If we look at IBM. IBM today runs, you know 87% of the world's credit card transactions, right? IBM today runs the world's banking systems, we run the airline reservation systems, we run the supply chains of the world. Hearts and lungs, right? If I just shorthand all of that, hearts and lungs. The reason our clients allow us to do that is because they trust us at the very core. If they didn't trust us with our data they wouldn't give it to us. If they didn't trust us to run the process correctly, they wouldn't give it to us. So when we say trust, it happens at a very base level of "who do you really trust to run you're data?" And importantly, who is someone else going to trust with your data, with your systems? Any bank can maybe figure out, you know, how to run a little bit of a process. But you need scale, that's where we come in. So big banks need us. And secondly, you need someone you can trust that can get into the global banking system, because the system has to trust you as well. So they trust us at a very base level. That's why we still run the hearts and lungs of the enterprise world. >> Yeah, and you also made the point, you're not talking about necessarily personal data, that's not your business. But when you talked about the free flow of data, there are governments of many, western governments who are sort of putting in this mandate of not being able to persist data out of the country. But then you gave an example of "If you're trying to track a bag at baggage claim, you actually want that free flow of data." So what are those conversations like? >> So first I do think we have to distinguish between the kinds of data that should frow freely and the kinds of data that should absolutely, personal information is not what we're talking about, right? But the supply chains of the world work on data, the banking system works on data, right? So when we talk about the data that has to flow freely, it's all the data that doesn't have a good reason for it to stay local. Citizen's data, healthcare data, might have to stay, because they're protecting their citizen's privacy. That's the issue I think, that most governments are on. So we have disaggregate the data discussion, the free flow of data from the privacy issues, which are very important. >> Is there a gray area there between the personal information and the type of data that Martin's talking about? Or is it pretty clear cut in your view? >> No, I think this is obviously got to play itself out. But I'll give you one example. So, the whole use of a blockchain potentially helps you address and find the right balance between privacy of sensitive data, versus actually the free flow of data. >> Right. >> Right? So for instance, you could have an encryption or a hashtag. Or hash, sorry. Not a hashtag. A hash, say, off the person's name whose luggage is lost. And you could pass that information through, and then on the other side, it's decrypted, and then you're able to make sure that, you know, essentially you're able to satisfy the client, the customer. And so there's flow of data, there's no issue with regard to exposure. Because only the rightful parties are able to use it. So these things are, in a sense, the technologies that we're talking about, that Martin talked about with the blockchain, and so forth. They are in place to be able to really revolutionize and transform digital trade. But there are other factors as well. Martin touched on a bunch of those in the keynote with regard to, you know, the imbalances, some of the protectionism that comes in, and so on and so forth. Which all that stuff has to be played through. >> So much to talk about, so little time. So digital trade, let's get into that a little bit. What is that and why is it so important? >> So if you look at the economic throughput in the digital economy, the size of the GDP if you will, of what travels around the world in the way data flows, it's greater than the traded goods flow. So this is a very important discussion. Over the last 10 years, you know, out of the 100% of jobs that were created, 80% or so had a digital component to it. Which means that the next set of jobs that we're creating, they require digital skills. So we need a set of skills that will enable a workforce. And we need a regulatory environment that's cooperative, that's supportive. So in the regulatory environment, as we said before, we think data should flow freely unless there's a reason for it not to flow. And I think there will be some really good reasons why certain data should not flow.. But data should flow freely, except for certain reasons that are important. We need to make sure we don't create a series of mandates that force someone to store data here. If you want to be in business in a country, the country shouldn't say "Well if you want to business here "you have to store all your data here." It tends to be done on the auspice of a security concern, but we know enough about security that doesn't help. It's a false sense of security. So data has to flow freely. Don't make someone store it there just because it may be moving through or it's being processed in your country. And then thirdly, we have to protect the source code that companies are using. We cannot force, no country should force, a company to give up their source code. People will leave, they just won't do business there. >> That's just not about intellectual property issue there, right? >> It's huge intellectual property issue, that's exactly right. >> So the public policy framework then, is really free flow of data where it makes sense. No mandates unless it makes sense, and- >> And protection of IP. >> Protection of IP. >> That's right. >> Okay, good. >> It's a pretty simple structure. And based on my discussions I think most sort of aligned with that. And we're encouraged. I'm encouraged by what I see in TPP, it has that. What I see in Europe, it has that. What I see in USMCA it has that. So all three of those very good, but they're three separate things. We need to bring it all together to have one. >> So it was a good example. GDDPR maybe as a framework that seems to be seeping its way into other areas. >> So GDPR is an important discussion, but that's the privacy discussion wrapped around a broader trade issue. But privacy is important. GDPR does a good job on it, but we have a broader trade issue of data. >> Inderpal give me the final word, it's kind of your show. >> Well, you know. So I was just going to say Dave, I think one way to think about it is you have to have the free flow of data. And maybe the way to think about it is certain data you do need controls on. And it's more of the form in which the data flows that you restrict. As opposed to letting the data flow at all. >> What do you mean? >> So the hash example that I gave you. It's okay for the hash to go across, that way you're not exposing the data itself. So those technologies are all there. It's much more the regulatory frameworks that Martin's talking about, that they've got to be there in place so that we are not impeding the progress. That's going to be inevitable when you do have the free flow of data. >> So in that instance, the hash example that you gave. It's the parties that are adjudicating, the machines are adjudicating. Unless the parties want to expose that data it won't be exposed. >> It won't happen, they won't be exposed. >> All right. Inderpal, Martin, I know you got to run. Thanks so much for coming out. >> Thank you. Thanks for the talk. >> Thank you >> You're welcome. All right. Keep it right there everybody, we'll be back with our next guest from IBMCDO Summit in San Francisco. You're watching theCube. (electronica)
SUMMARY :
Brought to you by IBM. as the Senior Vice President of IBM Global Markets Good to see you again. So you guys, just off the keynotes, What are they telling you about disruption the way you work, how you work, who does the work, And that comes back to the data. So data has to be the starting point. And you guys have talked a lot at this event, and the previous summits as you know, Dave, So what do you see as the next wave, Martin? So for IBM, the company that's always lived So one of the things you stressed today, because the system has to trust you as well. But when you talked about the free flow of data, and the kinds of data that should absolutely, So, the whole use of a blockchain Because only the rightful parties are able to use it. So much to talk about, so little time. So in the regulatory environment, as we said before, It's huge intellectual property issue, So the public policy framework then, We need to bring it all together to have one. GDDPR maybe as a framework that seems to be seeping its way but that's the privacy discussion And it's more of the form in which the data flows So the hash example that I gave you. So in that instance, the hash example that you gave. Inderpal, Martin, I know you got to run. Thanks for the talk. Keep it right there everybody,
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