>>from around the globe. It's the Cube with digital coverage of biz ops Manifesto unveiled. Brought to you by biz ops Coalition. Hey, welcome back your body, Jeffrey here with the Cube. Welcome back to our ongoing coverage of the busy ops manifesto unveiling its been in the works for a while. But today is the day that it actually kind of come out to the to the public. And we're excited to have a real industry luminary here to talk about what's going on, Why this is important and share his perspective. And we're happy to have from Cape Cod, I believe, is Tom Davenport. He is a distinguished author on professor at Babson College. We could go on. He's got a lot of great titles and and really illuminate airy in the area of big data and analytics. Thomas, great to see you. >>Thanks, Jeff. Happy to be here with you. Great. >>So let's just jump into it, you know, and getting ready for this. I came across your LinkedIn post. I think you did earlier this summer in June and right off the bat, the first sentence just grabbed my attention. I'm always interested in new attempts to address long term issues, Uh, in how technology works within businesses. Biz ops. What did you see in biz ops? That that kind of addresses one of these really big long term problems? >>Well, yeah. The long term problem is that we've had a poor connection between business people and I t people between business objectives and the i t. Solutions that address them. This has been going on, I think, since the beginning of information technology, and sadly, it hasn't gone away. And so busy ops is new attempt to deal with that issue with a, you know, a new framework. Eventually a broad set of solutions that increase the likelihood that will actually solve a business problem with a nightie capability. >>Right. You know, it's interesting to compare it with, like, Dev ops, which I think a lot of people are probably familiar with, which was, you know, built around a agile software development and the theory that we want to embrace change that that changes okay on. We wanna be able to iterate quickly and incorporate that, and that's been happening in the software world for for 20 plus years. What's taking so long to get that to the business side because the pace of change is change on the software side. You know, that's a strategic issue in terms of execution on the business side that they need now to change priorities. And, you know, there's no P R D S and M R. D s and big giant strategic plans that sit on the shelf for five years. That's just not the way business works anymore. Took a long time to get here. >>Yeah, it did. And, you know, there have been previous attempts to make a better connection between business and i t. There was the so called strategic alignment framework that a couple of friends of mine from Boston University developed, I think more than 20 years ago. But, you know, now we have better technology for creating that linkage. And the, you know, the idea of kind of ops oriented frameworks is pretty pervasive now. So I think it's, um you know, time for another serious attempt at it, right? >>And do you think doing it this way right with the bizarre coalition, you know, getting a collection of of kind of like minded individuals and companies together and actually even having a manifesto which were making this declarative statement of principles and values. You think that's what it takes to kind of drive this, you know, kind of beyond the experiment and actually, you know, get it done and really start to see some results in, in in production in the field. >>Well, you know, the manifesto approach worked for Karl Marx and communism. So maybe it'll work. Here is Well, now, I think certainly no one vendor organization can pull this off single handedly. It does require a number of organizations collaborating and working together. So I think a coalition is a good idea, and a manifesto is just a good way to kind of lay out. What you see is the key principles of the idea, and that makes it much easier for everybody. Toe I understand and act on. >>Yeah, I I think it's just it's really interesting having you know, having them written down on paper and having it just be so clearly articulated both in terms of the of the values as well as as the the principles and and the values, you know, business outcomes, matter, trust and collaboration, data driven decisions, which is the number three or four and then learn responded Pivot, It doesn't seem like those should have to be spelled out so clearly, but obviously it helps to have them there. You can stick them on the wall and kind of remember what your priorities are. But you're the data guy. You're the analytics guy. Uh, and a big piece of this is data analytics and moving to data driven decisions. And principle number seven says, you know, today's organizations generate more data than humans can process. And informed decisions can be augmented by machine learning and artificial intelligence right up your alley. You know, you've talked a number of times on kind of the many stages of analytics Onda how that's evolved over over time. You know, it is you think of analytics and machine learning driving decisions beyond supporting decisions, but actually starting to make decisions in machine time. What's that? What's that think for you? What does that make you? You know, start to think Wow, this is this is gonna be pretty significant. >>Yeah, well, you know, this has been a long term interest of mine. Um, the last generation of a I I was very interested in expert systems. And then e think more than 10 years ago I wrote an article about automated decision making using, um, what was available then, which is rule based approaches. But, you know, this address is an issue that we've always had with analytics and ai. Um, you know, we tended Thio refer to those things as providing decision support. The problem is that if the decision maker didn't want their support, didn't want to use them in order to make a decision, they didn't provide any value. And so the nice thing about automating decisions with now contemporary ai tools is that we can ensure that data and analytics get brought into the decision without any possible disconnection. Now, I think humans still have something to add here, and we often will need to examine how that decision is being made and maybe even have the ability to override it. But in general, I think, at least for, you know, repetitive tactical decisions, um, involving a lot of data. We want most of those I think, to be at least, um, recommended, if not totally made by analgesic rhythm or an AI based system, and that I believe would add to the quality and the precision and the accuracy of decisions in in most organizations. >>You know, I think I think you just answered my next question before I before I asked it. You know, we had Dr Robert Gates on the former secretary of Defense on a few years back, and we were talking about machines and machines making decisions, and he said at that time, you know, the only weapon systems that actually had an automated trigger on it, We're on the North Korea and South Korea border. Everything else, as you said, had to go through some person before the final decision was made. And my question is, you know what are kind of the attributes of the decision that enable us to more easily automated? And then how do you see that kind of morphing over time both as the data to support that as well as our comfort level, Um, enables us to turn Maura Maura actual decisions over to the machine? >>Well, yeah, I suggested we need data and the data that we have to kind of train our models has to be high quality and current, and we need to know the outcomes of that data. You know, most machine learning models, at least in business, are supervised, and that means we need tohave labeled outcomes in the in the training data. But, you know, the pandemic that we're living through is a good illustration of the fact that the the data also have to be reflective of current reality. And, you know, one of the things that we're finding out quite frequently these days is that the data that we have do not reflect. You know what it's like to do business in it. Pandemic it. I wrote a little piece about this recently with Jeff Cam at Wake Forest University. We call it Data Science quarantined, and we interviewed somebody who said, You know, it's amazing what eight weeks of zeros will do to your demand forecast. We just don't really know what happens in a pandemic. Our models may be have to be put on the shelf for a little while and until we can develop some new ones or we can get some other guidelines into making decisions. So I think that's one of the key things with automated decision making. We have toe, make sure that the data from the past and you know, that's all we have, of course, is a good guide toe. You know what's happening in the present and and the future as far as we understand it. >>Yeah, I used to joke when we started this calendar year 2020 is finally the year that we know everything with the benefit of hindsight. But it turned out 2020 the year we found out we actually know nothing and everything way. But I wanna I wanna follow up on that because, you know, it did suddenly change everything, right? We got this light switch moment. Everybody's working from home now. We're many, many months into it, and it's going to continue for a while. I saw your interview with Bernard Marr and you had a really interesting comment that now we have to deal with this change. We don't have a lot of data and you talked about hold, fold or double down and and I can't think of, um or, you know, kind of appropriate metaphor for driving the value of the biz ops. When now your whole portfolio strategy, um, needs to really be questioned. And, you know, You have to be really well, executing on what you are holding, what you're folding and what you're doubling down with this completely new environment. >>Well, yeah, And I hope I did this in the interview. I would like to say that I came up with that term, but it actually came from a friend of mine who's a senior executive at gen. Packed. And I used it mostly to talk about AI and AI applications, but I think you could You could use it much more broadly to talk about your entire sort of portfolio of digital projects you need to think about. Well, um, given some constraints on resource is and a difficulty economy for a while. Which of our projects do we wanna keep going on Pretty much the way we were And which ones, um, are not that necessary anymore. You see a lot of that in a I because we had so many pilots, somebody for me, you know, we've got more pilots around here, then O'Hare airport in a I, um and then the the ones that involve double down there, even mawr Important to you, they are, you know, a lot of organizations have found this out in the pandemic on digital projects, it's more and more important for customers to be ableto interact with you, um, digitally. And so you certainly wouldn't want toe cancel those projects or put them on hold. So you double down on them, get them done faster and better. >>Another. Another thing that came up in my research that that you quoted, um, was was from Jeff. Bezos is talking about the great bulk of what we do is quietly but meaning fleeing, improving core operations. You know, I think that is so core to this concept of not AI and machine learning and kind of the general sense, which which gets way too much buzz but really applied, applied to a specific problem. And that's where you start to see the value and, you know, the biz ops. Uh, manifesto is calling it out in this particular process, but I just love to get your perspective. As you know, you speak generally about this topic all the time, but how people should really be thinking about where the applications where I can apply this technology to get direct business value. >>Yeah, well, you know, even talking about automated decisions? Uh, the kind of once in a lifetime decisions, uh, the ones that a g laugh Li, the former CEO of Proctor and Gamble, used to call the big swing decisions. You only get a few of those, he said. In your tenure as CEO, those air probably not going to be the ones that you're automating in part because you don't have much data about them. You're only making them a few times, and in part because they really require that big picture thinking and the ability to kind of anticipate the future that the best human decision makers have. Um, but in general, I think where they I the projects that are working well are you know what I call the low hanging fruit ones? The some people even report to refer to it as boring A I so you know, sucking data out of a contract in order to compare it Thio bill of lading for what arrived at your supply chain. Companies can save or make a lot of money with that kind of comparison. It's not the most exciting thing, but a I, as you suggest, is really good at those narrow kinds of tasks. Um, it's not so good at the at the really big Moonshots like curing cancer or, you know, figuring out well, what's the best stock or bond under all circumstances or even autonomous vehicles. We made some great progress in that area, but everybody seems to agree that they're not going to be perfect for quite a while. And we really don't wanna be driving around on, um in that very much, unless they're, you know, good and all kinds of weather and with all kinds of pedestrian traffic. And you know that sort of thing, right? >>That's funny. Bring up contract management. I had a buddy years ago. They had a startup around contract management, and I'm like, and this was way before we had the compute power today and and cloud proliferation. I said, You know how How could you possibly built off around contract management? It's language. It's legalese. It's very specific. He's like Jeff. We just need to know where's the contract and when does it expire? And who's a signatory? And he built a business on those you know, very simple little facts that weren't being covered because their contracts from People's drawers and files and homes, and Lord only knows So it's really interesting, as you said, these kind of low hanging fruit opportunities where you could extract a lot of business value without trying to, you know, boil the ocean. >>Yeah, I mean, if you're Amazon, Jeff Bezos thinks it's important toe have some kind of billion dollar projects, and he even says it's important to have a billion dollar failure or two every year. But I think most organizations probably are better off being a little less aggressive and, you know, sticking to what a I has been doing for a long time, which is, you know, making smarter decisions based on based on data. >>Right? So, Tom, I want to shift gears one more time before before you let Ugo on on kind of a new topic for you, not really new, but you know, not not the vast majority of your publications. And that's the new way toe work, you know, as as the pandemic hit in mid March, right? And we had this light switch moment. Everybody had to work from home, and it was, you know, kind of crisis and get everybody set up well you know, Now we're five months, six months, seven months. A number of companies have said that people are not gonna be going back to work for a while. And so we're going to continue on this for a while, and then even when it's not what it is now, it's not gonna be what it was before. So, you know, I wonder and I know you, you tease. You're working on a a new book, you know, some of your thoughts on, you know, kind of this new way. Uh, toe work and and and the human factors in this new, this new kind of reality that we're kind of evolving into, I guess. >>Yeah, This was an interest of mine. I think back in the nineties, I wrote an article called Ah Co authored an article called Two Cheers for the Virtual Office. And, you know, it was just starting to emerge. Then some people were very excited about it. Some people were skeptical and we said to cheers rather than three cheers because clearly there's some shortcomings and, you know, I keep seeing these pop up. It's great that we can work from our homes. It's great that we can accomplish most of what we need to do with a digital interface. But you know, things like innovation and creativity and certainly a a good, um, happy social life kind of requires some face to face contact every now and then. And so you know, I think we'll go back to an environment where there is some of that. We'll have, um, time when people convene in one place so they can get to know each other face to face and learn from each other that way. And most of the time, I think it's a huge waste of people's time to commute into the office every day and toe jump on airplanes. Thio, Thio give every little mhm, uh, sales call or give every little presentation. We just have to really narrow down. What are the circumstances, where face to face contact really matters and when can we get by with digital? You know, I think one of the things in my current work I'm finding is that even when you have a I based decision making, you really need a good platform in which that all takes place. So in addition to these virtual platforms, We need to develop platforms that kind of structure the workflow for us and tell us what we should be doing next and make automated decisions when necessary. And I think that ultimately is a big part of biz ops as well. It's not just the intelligence oven, a isis some, but it's the flow of work that kind of keeps things moving smoothly throughout your organization. Yeah, >>I think such such a huge opportunity as you just said, because I forget the stats on how often were interrupted with notifications between email text, slack asana, salesforce The list goes on on and on. So, you know, t put an AI layer between the person and all these systems that are begging for attention. And you've written a you know, a book on the attention economy, which is a whole nother topic will say for another day. You know, it really begs. It really begs for some assistance because, you know, you just can't get him picked, you know, every two minutes and really get quality work done. It's just not it's just not realistic. And you know what? I don't think that's the future that we're looking for. >>Great totally alright, >>Tom. Well, thank you so much for your time. Really enjoyed the conversation. I gotta dig into the library. It's very long song. I might started the attention economy. I haven't read that one in to me. I think that's the fascinating thing in which we're living. So thank you for your time. And, uh, great to see you. >>My pleasure, Jeff. Great to be here. >>All right, take care. Alright. He's Tom. I'm Jeff. You are watching the continuing coverage of the biz ops manifesto. Unveil. Thanks for watching. The Cube will see you next time.

>>live from Washington D. C. It's the Cube covering Bumi World 19 to Bide Movie. >>Hey, welcome back to the Cubes Coverage of Bumi World 19 from Washington D. C. I'm Lisa Martin with John Ferrier and John and I have a Cube alumni sitting with us. We have the chief product officer off. Del blew me. Steve would Steve, Welcome back. >>Thank you. It's great to be back. I could see again. John. Great must meet you >>back. Wise Enjoyed your keynote this morning, Man. There were so many nuggets and there I couldn't type faster. But one of my favorite things that you said is that no one is asking for less data. Slower? >>Yes, OK did I like kind of like saying because it frames things very clearly. It's just because it's clearly a prole. Every relates to him in the audience, but it was kind of amusing, so they've really got it immediately as I get that, that's a fair statement, so >>so like, and then you kind of took us the audience back. Thio 11 months ago at Bumi World 18. Some of the things that you guys said this is what we're going to be really focused on redefining the eye and I pass to be intelligent. Give her audience who wasn't able to see your keynote A little bit of that historical from 11 months ago. So what you guys are delivering today what the Bumi platform looks like today? >>Yeah, sure. So I mean, a lot of showed last Army, we kind of owe. Then we feel like we is like craters. The industry have to kind of try lead it. Where? Where is it going next? That's our big kind of duty, I guess. And so it's been taken over when we had the founder of booming attend, which was nice, but yes, so the big thing we should Last year was kind of the next generation, which is really a unified look and feel super easy to build applications that spend all of the portfolio and art in our that we offer our customers. We wanted to make it very collaborative, so users of business or business analysts or quick technical people can work together and use. Our platform is a collaboration space of the right controls in place. Eso stuff like that was really good to show that our new solutions. Overview. We've been definitely encouraging partners to put Maur intellectual property into our platform to excel, help accelerate their customers. Helping our customers just get people on board as quickly as possible. In fact, actually owned boarding employees on boarding was the solution we showed last year. >>That was fantastic. I couldn't believe how complex that was at Bumi. And when you guys said, We've got to change this huge improvements. >>Yeah, well, it was sort of a discovery that came up from one of our cells. Engineers got Andy Tiller did a fantastic job. He didn't enjoy his, um, his own boarding experience abuse me and then sort of building a solution. And we're like, we like we can actually do this way better on the platform. But what was amazing was that even for a company the size of Bumi, which is about 1000 people, we have, like, nearly 100 integration points and systems had to be coordinated to on board a single employee 100. Yeah, it's a lot, you know. So it became a really connectivity problem, actually, on >>boarding >>bits relatively easy. It's just, like connected all these systems. That's the hard bit. So yeah, we're excited to show that I think we got a kick out of seeing you together than we give progress on how we're moving that forward with various demos >>you don't want to ask you. Last year we asked the chief operating officer and the CEO Bumi what their investment priorities were going into the next year. And they said Number one was product. So that was a key thing. First and foremost go to market and then customer equation. But a product has been a big focus. That continues to be. What >>is >>the problem? Does it mean product when your chief product officer, what do you overseeing? Talk about What is the product? What is the platform And is there a difference? >>Yeah, I mean, so we we talk about the problem because we're in the product group, but we definitely see it as a platform. The investment in product is great. It means I get to spend lots of money like about my new converse. I won't try to show them, but way, but yeah, I mean, the investment partners being that we know that as we get Maur is this is this economy keeps building of integration and connective iti wanna continue to hold our leadership. We need to invest in product to make it easier. The expectations of our users is that they get a really premium experience when they're on board it onto the platform. We have to make sure we keep up to date with all of that effort. So a lot of what we talked about, it's how one is that we break our product up into discreet service is to allow us to move faster from an engineering perspective. And there's a lot of stuff that goes on there to think about ourselves as a platform to make sure we're fully extensible on. Then providing Maura Maura service is that people can build on our platform. So a lot of that investment just driving those >>activity. Rick was on yesterday talking about the big bets they made early on that are paying off. One of them was Aussie Cloud. On seeing that as you look at the architecture of this kind of new era of clobbering cloud to point, are we calling it? There's new requirements. It's the glue layers being built out. You need data to be accessible on addressable and available in real time, and you have multiple systems to talk to hence the integration you guys are doing. But this new mega trends happening is event driven architectures, which you guys talk about. There's a P I's just going from rest ful to state. And so you have micro service is here. So these air new dynamics Can >>you take >>a minute displaying like what all this means And what is event driven infrastructure? >>Yeah, a venture of architecture. But yeah, that's well, that's what we've been calling it. But yeah, I mean, it's basically that we're going to models where we're responding in real time to things that are happening out there on that revolt that involves a whole new level of scale. But, you know, we're also getting to things like streaming soas. Data come comes in, it's coming in, not in these packets, but it's constantly being fed to you, sir, constantly having to process it. You know, before in the integration space, it was like what? You'd set up a schedule you'd say, move that data at midnight from there to there and then it got faster and booming, provided real time, which was a request response that you send it personally, require a response back. But now it's like we're not going to just send it to you as a discreet thing. We're going to send it to you constantly, so event driven architectures. But how do you handle this continuous influx of data? And it's not getting any less. So how do you kind of manage this? We're being pulled in. Both ends were being pulled. There's never been more data that you never wanted to have faster. So it's like, How do you manage that? So for Bhumi, you know, that's why we're investing so heavily. >>Used to be in the old days when things were slower, events were like a trigger in a network management software alarm notification. Now they're happening. All the time is more and more events and paying attention to what events becomes a non human thing. Yeah, it's a software thing. Is that kind of where this is going? >>Yeah, well, I >>mean, we've been thinking >>a lot about that, like we sort of feel it. One is that we're gonna grow up from being on iPods to more of a data management vendor. We think that, like where the data manager in the future will come from an I pass, that we will be managing your data across like all of these systems from the catalogue and preparation to the, you know, actually integration and surfacing it up in real time and all that kind of streaming side. So I know it's Ah yeah, it's an evolving field for sure. >>One final point on this topic of product AP eyes have been great. They really made the market. Going back to the original Web service is in early two thousands to cloud. Where does a P I go? A A p I to dot or whatever you call it. What's the next Gen Place for AP? Eyes? >>Well, so it's interesting course. So we >>have >>a slightly different view of a pie management. That may be the typical AP management space, which is one thing to declare openly. But I think I >>want to >>go with that. Were right in the sense that cause I would think that because I'm a product, >>it's a good thing for a product. I don't think so Go >>and we're more than a little opinionated. So >>it is here, >>but yeah. Is that like sure. I mean, with a p I You need a gateway you need for the proxy ap eyes. Wherever they may be, wherever they may be developed. Other you build him and Bumi or you code them yourself when you told him, Manage those and throttle and scale and add policies and, you know, have developers registered to use them and monitor their usage and cut them off and have quotas. All that kind of that is old, fantastically good stuff. You know, there's lots of understeer doing a lot of that. We're adding Maur Mork capabilities there. But for us, a p I is really about AP enabling absolutely everything like we're in this world where you got refrigerators, two autonomous vehicles to cloud infrastructure to pivotal to all these different environments. And you have to have a tool that how do you How do you manage a P I across this incredibly disparate landscape of tools, technologies, things, infrastructure and it's one thing to say. OK, we could manage a P eyes and you install our software. Well, that's not good enough because, you know, with our customer like Jack in the box. They have 2200 plus retail locations. Nice have joked in my keynote that it's like painting Golden Gate Bridge. If you had to upgrade your gateway every time there was enough grade needed. It's like pain the Golden Gate Bridge to get to the end and you start all over again. That's 2200 plus retail locations. You know, I work for Dow. Ultimately is the holy owner of our business. He put five billion P seas on the planet. What if you had a gateway on five billion peces like, How do you manage that from a single control plane in the cloud? And that's what we're after. How do you do that huge scale AP enabling literally everything. >>And this was kind of under the concept of run anywhere that waas Yes, >>yes, yeah, and that was because we wanted to emphasize that it was about running Ap eyes and a pen, enabling things wherever they may be. That's why we put it under the run anywhere Banner. >>What's the biggest thing that you guys have done this year from last movie world that you're proud of? In terms of product or technology or something that could be of some obscure something prominent. What do you do? You proud of? What's the big thing? >>Yeah, well, for a point of perspective, it would be the AP I side for sure, because that was that was a big lift. There was a lot of work involved. We kind of moved ourselves forward very, very quickly in our capabilities on a p I with Gateway portal proxy, you know, literally within the span of just over a year. So that was Ah, big left. But I would, you know, because I also run engineering. So I feel like I need to, like, geek out a little bit. I mean, one of my proud things is, actually, we started wrestling and wrangling that 30 terabytes plus of metadata and starting to see what's in there. And like, anything in data science, you know, you're kind of like looking at weaken start. We started seeing all sorts of cool new things. Now I'm not gonna talk about it the inside side, But you start to see new things. We start to see ways that that meditated can be applied. So we built the infrastructure It's huge scale, massive scale they might have meditated, were ingesting and then analyzing eyes helping us, you know, improve productivity across the platforms. We talk a lot about being more efficient, more effective, so you'll see more of that in the pub. >>Can you clear up the just the commentary around the definition around single tenant instance? And when customers do multi tenant, because the benefit of the single tenants what the main core value proposition with the data, the unification of data? That's awesome. But there's also potential opportunities with customs. Might want have a roll run through things. So you have flexibility. Is that true? Is that the definite Take us through what the difference when, when multi tenant kicks in and what's >>well, so on our platform multi tendencies s. So if you think about the build experience when you're your dragon dropping, pointing, clicking, building your work flows or your processes for managing your data, you do that in the cloud, and then you can decide where you wanna put that. So where is that actually gonna be executed? And you can put it in our cloud, which is our multi tenant cloud, and then you. Could we manage it all for you? And that's fantastic. You can point or manage. Cloud service is if you have very specific requirements, usually around security, Sometimes around hyper scale. Well may put you in a manage cloud service environment. But then, if you have very sensitive data, you may want to run that workload and then stole our little run time. Adam, you know behind your firewall so we never see the data. So it's super sensitive. We don't see it. We >>see how >>it's running and we manage it. We have grade that that infrastructure for you, but we never see your data, so it kind of gives you the best of both worlds. You could be a cloud first, cloud only vendor, and you can be a traditional on perimeter. You could be a hybrid of both >>is not a requirement. The product. It's a customer choice. >>It's a total customer choice. I think that's pretty cool. Yeah, and I think actually we're one of the few that does it the way we've been doing for a long time. And it's hard, by the way, because it's like maintaining that compatibility For 10 plus years, is quite difficult to make sure everything works every time. We have, like 9000 >>customers and 80 plus countries. But on the the 30 plus terabytes of anonymous metadata, you are very clear this morning and saying that it's just the metadata that's not the actual have any any, you know, private information from any of our customers. But in terms of leveraging that data for those insights where some of the things that from last spoon me world to this one, that that access to all that data has what some are. Some of the announcements, maybe that came out today that you guys looked at saying, It's these are some of the nuggets that were able to pull out because we have the access to this musing. Maybe it's a I or what not gonna give you >>some examples in one was the the suggested filters. And it was a simple thing. I did sort of like that joke of It's one small step for Bhumi customers, but a giant leap for booming engineering. But because we rebuild a whole bunch of infrastructure to dio but suggested filters just making it easier to query information of various systems. And it is cool because it literally is looking your system, comparing it with other customers systems based on how you've configured in this case Attilio environment and then working out actually, based on what people are doing. This is kind of what the filter might look like for you, which is very, very personalized to the user. Based on intelligence. We have more That's on the bill tight. We have more on the deployment side because you can show you, actually hey, few of built in a p. I do want to deploy it out, too. A raspberry pie will. Actually, you probably want to configure the AP. I like this where you may find you see some issues here, and that's not static information that's evolving from the metadata. We can see the performance of your systems against the Oxy. All right, In that environment, I do it a bit like this. Or if you deploy to say, I Jules, we might make recommendations based on that process of that, a p I or that data quality hub that you wantto excess just make your systems run like this. So it's kind of predicting how you deployed >>I was about to say, Are you helping customers get predicted with us? >>Yes. And there's lots we can do there. I mean, like, so we'll do Maura. Maura. But we can automatically optimize your deployment. So if it's in our cloud, that that'll happens automatically. So helps us, too. But for customers, it's also making just go. Okay, we'll deploy it. And then the leverage that community to so see what works best. The most successful deployment, the most successful architecture and the way you've deployed it is was what you'll be matched with. And then the same with the run time. With monitoring, we can start to look at things and see will. Well, not slowing down a little bit. Actually, it's Linden the string error. A little bit, actually, based on what we've seen before, that system may be about to fall over, so you might want to get all not before completely does what it's gonna do. >>Well, we got you here. I want to get your definition of cloud two point. Oh, on We've been riffing on this. Been more of a takeoff on Web two point. Oh, because cloud one daughter was anything Amazon you know storage. Compute some networking, but it's Amazon that working. But you scale up start ups will go there. It's beautiful thing, but now it's enterprise. Start to embrace cloud with hybrid on premises and deal with all these hard problems and challenges. Crazy opportunity. An operating model for on premises Cloud Club one Dato Amazon. Really easy to work with. Scales are beautiful. Cloud to point is different. I got things to deal with. Observe, abilities, a hot thing you got kubernetes containers you got. How would you define what cloud? Two pointers for Enterprise? >>We'll think because we're all about the data cloud 2.0, is really like for us. Ah, data problem. I mean, it's just like E think before I mean, I was part of cells force for a while. Is this whole idea of like earlier data in the cloud will manageable for you. But when you're getting into the kind of environments were seeing, say, there's just too much data like you, it's not feasible. I mean, give you an example. Bumi itself. We moved our infrastructure customers was transplanted customers from Rackspace to eight of us Last year it was a big engineering lift to do. You can imagine moving 9000 plus customers over on our cloud Ah, design surface that but so we did that, but actually to move the data, it was so much it was actually faster to put the disk drives in the back of a van. No mobile moving over snowball using the wheel network, you know, the engine motor e one and then put the hard drives in. And then we did our sink to bring them back up so that we have the same data in both locations. And that's just an example of the kind of customer data that customers are routinely struggling with. And cloud wasn't set up for that. But that's becoming day to day now, so you need a highly distributed architecture. It was probably why we announced the Adam Fabric, which is really a fabric of connectivity, as much as is a fabric of data, so we don't need to move your data around. You can leave it where it is. We can do some analysis on it as part of an end to end >>Program Cube alumni that I was on the cube a couple weeks ago, he said. Data is the new software, data and software. What's your reaction to that when you hear that? >>To some extent, >>I think that's a CZ, A bit of a business process geek. I think you know this process around data for sure. But But I do think I've heard similar things with, like, actually, applications come and go. Business processes come and go, but the data remains so I think maybe in some respects, your date is the new software Could be a term I I could buy into a Well, >>Steve, it's been great having you on the Cube with John and me sharing all of the things that you guys have done in the last 11 months. I can't wait to see how everything becomes a P. I enabled. Still, next Bumi World, you gotta come back. Yeah, All right. Our pleasure for John Ferrier. I'm Lisa Martin. You're watching the Cube from Bhumi World 19. Thanks for watching