>> Live from San José, in the heart of Silicon Valley, it's theCUBE! Covering DataWorks Summit 2018. Brought to you by Hortonworks. (electro music) >> Welcome back to theCUBE's live coverage of DataWorks here in sunny San José, California. I'm your host, Rebecca Knight, along with my co-host, James Kobielus. We're joined by John Kreisa. He is the VP of marketing here at Hortonworks. Thanks so much for coming on the show. >> Thank you for having me. >> We've enjoyed watching you on the main stage, it's been a lot of fun. >> Thank you, it's been great. It's been great general sessions, some great talks. Talking about the technology, we've heard from some customers, some third parties, and most recently from Kevin Slavin from The Shed which is really amazing. >> So I really want to get into this event. You have 2,100 attendees from 23 different countries, 32 different industries. >> Yep. This started as a small, >> That's right. tiny little thing! >> Didn't Yahoo start it in 2008? >> It did, yeah. >> You changed names a few year ago, but it's still the same event, looming larger and larger. >> Yeah! >> It's been great, it's gone international as you've said. It's actually the 17th total event that we've done. >> Yeah. >> If you count the ones we've done in Europe and Asia. It's a global community around data, so it's no surprise. The growth has been phenomenal, the energy is great, the innovations that the community is talking about, the ecosystem is talking about, is really great. It just continues to evolve as an event, it continues to bring new ideas and share those ideas. >> What are you hearing from customers? What are they buzzing about? Every morning on the main stage, you do different polls that say, "how much are you using machine learning? What portion of your data are you moving to the cloud?" What are you learning? >> So it's interesting because we've done similar polls in our show in Berlin, and the results are very similar. We did the cloud poll pole and there's a lot of buzz around cloud. What we're hearing is there's a lot of companies that are thinking about, or are somewhere along their cloud journey. It's exactly what their overall plans are, and there's a lot of news about maybe cloud will eat everything, but if you look at the pole results, something like 75% of the attendees said they have cloud in their plans. Only about 12% said they're going to move everything to the cloud, so a lot of hybrid with cloud. It's how to figure out which work loads to run where, how to think about that strategy in terms of where to deploy the data, where to deploy the work loads and what that should look like and that's one of the main things that we're hearing and talking a lot about. >> We've been seeing that Wikiban and our recent update to the recent market forecast showed that public cloud will dominate increasingly in the coming decade, but hybrid cloud will be a long transition period for many or most enterprises who are still firmly rooted in on-premises employment, so forth and so on. Clearly, the bulk of your customers, both of your custom employments are on premise. >> They are. >> So you're working from a good starting point which means you've got what, 1,400 customers? >> That's right, thereabouts. >> Predominantly on premises, but many of them here at this show want to sustain their investment in a vendor that provides them with that flexibility as they decide they want to use Google or Microsoft or AWS or IBM for a particular workload that their existing investment to Hortonworks doesn't prevent them from facilitating. It moves that data and those workloads. >> That's right. The fact that we want to help them do that, a lot of our customers have, I'll call it a multi-cloud strategy. They want to be able to work with an Amazon or a Google or any of the other vendors in the space equally well and have the ability to move workloads around and that's one of the things that we can help them with. >> One of the things you also did yesterday on the main stage, was you talked about this conference in the greater context of the world and what's going on right now. This is happening against the backdrop of the World Cup, and you said that this is really emblematic of data because this is a game, a tournament that generates tons of data. >> A tremendous amount of data. >> It's showing how data can launch new business models, disrupt old ones. Where do you think we're at right now? For someone who's been in this industry for a long time, just lay the scene. >> I think we're still very much at the beginning. Even though the conference has been around for awhile, the technology has been. It's emerging so fast and just evolving so fast that we're still at the beginning of all the transformations. I've been listening to the customer presentations here and all of them are at some point along the journey. Many are really still starting. Even in some of the polls that we had today talked about the fact that they're very much at the beginning of their journey with things like streaming or some of the A.I. machine learning technologies. They're at various stages, so I believe we're really at the beginning of the transformation that we'll see. >> That reminds me of another detail of your product portfolio or your architecture streaming and edge deployments are also in the future for many of your customers who still primarily do analytics on data at rest. You made an investment in a number of technologies NiFi from streaming. There's something called MiNiFi that has been discussed here at this show as an enabler for streaming all the way out to edge devices. What I'm getting at is that's indicative of Arun Murthy, one of your co-founders, has made- it was a very good discussion for us analysts and also here at the show. That is one of many investments you're making is to prepare for a future that will set workloads that will be more predominant in the coming decade. One of the new things I've heard this week that I'd not heard in terms of emphasis from you guys is more of an emphasis on data warehousing as an important use case for HDP in your portfolios, specifically with HIVE. The HIVE 3.0 now in- HDP3.0. >> Yes. >> With the enhancements to HIVE to support more real time and low latency, but also there's ACID capabilities there. I'm hearing something- what you guys are doing is consistent with one of your competitors, Cloudera. They're going deeper into data warehousing too because they recognize they've got to got there like you do to be able to absorb more of your customers' workloads. I think that's important that you guys are making that investment. You're not just big data, you're all data and all data applications. Potentially, if your customers want to go there and engage you. >> Yes. >> I think that was a significant, subtle emphasis that me as an analyst noticed. >> Thank you. There were so many enhancements in 3.0 that were brought from the community that it was hard to talk about everything in depth, but you're right. The enhancements to HIVE in terms of performance have really enabled it to take on a greater set of workloads and inner activity that we know that our customers want. The advantage being that you have a common data layer in the back end and you can run all this different work. It might be data warehousing, high speed query workloads, but you can do it on that same data with Spark and data-science related workloads. Again, it's that common pool backend of the data lake and having that ability to do it with common security and governance. It's one of the benefits our customers are telling us they really appreciate. >> One of the things we've also heard this morning was talking about data analytics in terms of brand value and brand protection importantly. Fedex, exactly. Talking about, the speaker said, we've all seen these apology commercials. What do you think- is it damage control? What is the customer motivation here? >> Well a company can have billions of dollars of market cap wiped out by breeches in security, and we've seen it. This is not theoretical, these are actual occurrences that we've seen. Really, they're trying to protect the brand and the business and continue to be viable. They can get knocked back so far that it can take years to recover from the impact. They're looking at the security aspects of it, the governance of their data, the regulations of GVPR. These things you've mentioned have real financial impact on the businesses, and I think it's brand and the actual operations and finances of the businesses that can be impacted negatively. >> When you're thinking about Hortonworks's marketing messages going forward, how do you want to be described now, and then how do you want customers to think of you five or 10 years from now? >> I want them to think of us as a partner to help us with their data journey, on all aspects of their data journey, whether they're collecting data from the EDGE, you mentioned NiFi and things like that. Bringing that data back, processing it in motion, as well as processing it in rest, regardless of where that data lands. On premise, in the cloud, somewhere in between, the hybrid, multi-cloud strategy. We really want to be thought of as their partner in their data journey. That's really what we're doing. >> Even going forward, one of the things you were talking about earlier is the company's sort of saying, "we want to be boring. We want to help you do all the stuff-" >> There's a lot of money in boring. >> There's a lot of money, right! Exactly! As you said, a partner in their data journey. Is it "we'll do anything and everything"? Are you going to do niche stuff? >> That's a good question. Not everything. We are focused on the data layer. The movement of data, the process and storage, and truly the analytic applications that can be built on top of the platform. Right now we've stuck to our strategy. It's been very consistent since the beginning of the company in terms of taking these open source technologies, making them enterprise viable, developing an eco-system around it and fostering a community around it. That's been our strategy since before the company even started. We want to continue to do that and we will continue to do that. There's so much innovation happening in the community that we quickly bring that into the products and make sure that's available in a trusted, enterprise-tested platform. That's really one of the things we see our customers- over and over again they select us because we bring innovation to them quickly, in a safe and consumable way. >> Before we came on camera, I was telling Rebecca that Hortonworks has done a sensational job of continuing to align your product roadmaps with those of your leading partners. IBM, AWS, Microsoft. In many ways, your primary partners are not them, but the entire open source community. 26 open source projects in which Hortonworks represents and incorporated in your product portfolio in which you are a primary player and committer. You're a primary ingester of innovation from all the communities in which you operate. >> We do. >> That is your core business model. >> That's right. We both foster the innovation and we help drive the information ourselves with our engineers and architects. You're absolutely right, Jim. It's the ability to get that innovation, which is happening so fast in the community, into the product and companies need to innovate. Things are happening so fast. Moore's Law was mentioned multiple times on the main stage, you know, and how it's impacting different parts of the organization. It's not just the technology, but business models are evolving quickly. We heard a little bit about Trumble, and if you've seen Tim Leonard's talk that he gave around what they're doing in terms of logistics and the ability to go all the way out to the farmer and impact what's happening at the farm and tracking things down to the level of a tomato or an egg all the way back and just understand that. It's evolving business models. It's not just the tech but the evolution of business models. Rob talked about it yesterday. I think those are some of the things that are kind of key. >> Let me stay on that point really quick. Industrial internet like precision agriculture and everything it relates to, is increasingly relying on visual analysis, parts and eggs and whatever it might be. That is convolutional neural networks, that is A.I., it has to be trained, and it has to be trained increasingly in the cloud where the data lives. The data lives in H.D.P, clusters and whatnot. In many ways, no matter where the world goes in terms of industrial IoT, there will be massive cluster of HTFS and object storage driving it and also embedded A.I. models that have to follow a specific DevOps life cycle. You guys have a strong orientation in your portfolio towards that degree of real-time streaming, as it were, of tasks that go through the entire life cycle. From the preparing the data, to modeling, to training, to deploying it out, to Google or IBM or wherever else they want to go. So I'm thinking that you guys are in a good position for that as well. >> Yeah. >> I just wanted to ask you finally, what is the takeaway? We're talking about the attendees, talking about the community that you're cultivating here, theme, ideas, innovation, insight. What do you hope an attendee leaves with? >> I hope that the attendee leaves educated, understanding the technology and the impacts that it can have so that they will go back and change their business and continue to drive their data projects. The whole intent is really, and we even changed the format of the conference for more educational opportunities. For me, I want attendees to- a satisfied attendee would be one that learned about the things they came to learn so that they could go back to achieve the goals that they have when they get back. Whether it's business transformation, technology transformation, some combination of the two. To me, that's what I hope that everyone is taking away and that they want to come back next year when we're in Washington, D.C. and- >> My stomping ground. >> His hometown. >> Easy trip for you. They'll probably send you out here- (laughs) >> Yeah, that's right. >> Well John, it's always fun talking to you. Thank you so much. >> Thank you very much. >> We will have more from theCUBE's live coverage of DataWorks right after this. I'm Rebecca Knight for James Kobielus. (upbeat electro music)

>> Narrator: Live from Boston Massachusetts it's theCUBE covering ZertoCON 2018. Brought to you by Zerto. >> This is theCUBE, I'm Paul Gillin. We're here in Boston for ZertoCON and with me is Rob Strechay. He's the Senior Vice President of Product for Zerto and Rob, I understand here you have one of the big items of news is Zerto 7 is being announced. Tell us about what's new in Zerto 7. >> Yeah, so we're announcing Zerto 7, it'll be out in Q1 of 2019. We're real excited because really it's the first time that the IT Resiliance Platform that we've put out will also include in the convergence of backup, disaster recovery and cloud mobility all into one singular platform. We've been building upon this platform for years. People have come to know us for continuous data protection and our journal-based data protection. And now we're extending that over time to give people a better view and better resiliancy across near-term and the long-term. >> Alright now I think of back up as being kind of table stakes in the resiliance game, but the backup features are actually new for you in this release. Is that right? >> Absolutely. What we've done is enhance what we had. We had some backup features in there already. We already got used for recovering for things like ransom-ware used in our journal level file recovery where people can go back like a DVR, a few seconds before they got hit. Be able to pull the file, folder, or entire virtual machine back and pull that out like if you were using a backup. In fact, much quicker our customers tell us than Legacy Backup. But table stakes is having enhanced indexing and search capabilities across all of your different platforms. Having dedicated workflows that are integrated into the current recovery workflows. Things of that nature, that really are in Zerto 7 that would take us to the next level. >> Now backup is a fairly painful process for most IT Admins though, what is Zerto doing to make that simpler? >> Yeah, I think the great thing is we have over 6,000 customers already that utilize us and trust us for data protection on a daily basis. We're extending those workflows to say okay, I need a weekly, a monthly, a quarterly, or a daily even and I want to keep that for a certain amount of time. Right now they would see maybe one day to 30 days back in what we call our Journal. And now we're extending that so they see the points in time beyond that and helps to simplify those workflows for those customers. Because, really the complexity comes from I have a media server, I have single points of failure, I have to worry about did I get that backup or not. The journal technology we have actually alleviates that. Plus, we've been doing this at scale for many years with many thousands of customers and we know that that's been one of the pain points for our customers around backup too. We didn't take this lightly to go further into this market. We thought that, really, the market was ripe for convergence of these products. >> Alright, now go one layer deeper on journaling. I mean that's a technology that's been around for a long time, but really not so much in the backup space. What are you doing that's different with your approach to journaling? >> Yeah, so we actually brought this out back in 2011, so we've been doing it for about seven years now. And we took a different approach to disaster recovery. Allows for a lot more granular recovery in seconds. So you have recovery point objectives that are very near and then you get quicker recovery time objectives, as well. So, a lot of this journaling technology was how do you have the right order fidelity of all of these systems as an application? Now doing that and saying okay I want to take a point in time and I want to keep it as my gold copy for three months because I have a business or a corporate mandate that says this is the retention periods that I have. Really brings together what we've been doing in journaling for years as we went from being the first to put out a hypervisor-based replication and journaling system. Then we took it to what they call the DR as a surface market when we took customers to public cloud in 2014 and back from public cloud in 2016 and now we really have any-to-any technology across those different platforms all using that same underlying journaling technology. But it does it in different ways in clouds versus say VMware's hypervisor. >> Now how do you coordinate the complexity of that environment? You've got customers who have some backup on prims, some backup in the cloud that maybe have multiple clouds. How do you coordinate all that backup? >> Yeah, I think it's been really one of the things we've been working on for some amount of time already. So they're starting to see the fruits of our labor about how you have a distributed, scalable system that automatically does that. So, we're not just a replication engine or just a journaling system, we actually embed the orchestration in automation into the system. That way it's wrapped in. It's kind of like having an engine and having the steering wheel at the same time. Then we wrap a nav system, which is our analytics product, around that to give people guidance on how to utilize it. So, to your point, we try to make it easy. In fact one of our pillars is it better be simple, like real simple, otherwise we don't ship it. >> There are a lot of vendors in the various aspects backup, DR market, how is Zerto differentiating itself? >> Yeah, I think that we're not doing backup. We're doing a completely different way of taking this. Backup has been done typically either with agents or with snapshot technology. Maybe you go back four hours in time if you get hit with ransom-ware. Because we already have and can see that data, in the journal, seconds of granularity. So say somebody's loading a database on a Friday night and doing an ETL into the database, of a terabyte of data. We'll see that terabyte go in and all those changes happen. You could actually utilize the journal after you've actually done the load so you can take a pre and a post copy of that. So I have before I made the changes and after I made the changes which really helps customers in a unique way. >> You get into some very large file sizes, I would imagine, when you're doing that many copies of data How do you manage the volumes? >> Yeah, we have some technology inside the product that is space efficient, uses things such as compression and other types of technology. For doing the backup and in Zerto 7 for long-term retention or secondary storage we're partnering with people like HPE and their StoreOnce product set. We have other partners of ours like Exit Grid here and their NFS enabled secondary storage. Plus we'll use some of the typical S3, SMB, as well as cloud-based as targets because we think that they have some of that built-in hardware and built-in technology that really does a better job of doing the compaction. We're not trying to be a purpose built appliance for everybody, we look at being a software company and leveraging those really good secondary storage devices and clouds as the targets. >> One of the themes of the conference we heard John Morency of Gartner talking about this morning was resilience and really moving beyond backup and disaster recovery to business resilience. How well are your customers taking to that message? >> It's amazing, I think that when I go out and talk to our customer CIOs and VPs of Infrastructure or even just to Sys Admins, they're looking for resiliancy. They're looking for a single product that can bring together backup, disaster recovery and that cloud mobility. I think, you heard one of our customers up on stage with Morency, Jamie from Takata, that really has embraced that. They're actually, kind of, I would say pushing the cutting edge of seven different cloud providers and utilizing us as that platform. >> Paul: By design seven different cloud providers. >> Yeah, by design and part of that is if you look at GVPR and all the different regulations across the world they have to deal with, it's easier for them. But they know that they utilizes us as an IT Resilience platform that enables them to go those different places. >> You mentioned ransom-ware earlier, have you seen the growth of ransom-ware continue or is that now slowing down finally being displaced by crypto-mining and some other. >> I think that it's always there. I think that it flares up from time to time. And it's not a, as Ziv, our CEO and Founder, said yesterday, it's not if you're going to get hit by ransom-ware, it's when. And I think that being resilient and having a resiliency in depth type of approach really is important for that as well. >> So, in the time that we've got left talk about the future. What's the road map for Zerto going forward the next couple of years? >> Yeah, so this year we're laying out the IT Resilience platform, building it out and continuing to build upon what we've done as we see and where we see a lot of our customers going. Containers are a big thing and we see that infusion of containers in our customer base is growing rapidly. So we'll be looking at some new approaches to that. And we think we're uniquely positioned based on our underlying technology to take advantage of that. Cloud-born apps are a big one, as well. But because we're already in the cloud working with Azure as one of our key partners and Amazon, as well, we get to see how these all come together. And we have a unique seat at the table for going forward. >> Rob, I can't let you go without asking you to stand up please and show the camera the official Zerto colors. If anyone is walking the walk here it's Rob Strechay wearing pants of the official Zerto color. Where do you find pants of that color? >> You can find them, the great thing is being in Massachusetts there's a lot of different companies that make Nantucket Red, which is not really Nantucket Red, it's more like a Fire Engine Red, but these in particular I had made for me for this conference this week, so. >> I figure you can find anything in the Boston area. >> Absolutely. >> Rob Strechay, thank you very much for joining us. >> Rob: Much appreciate it, thanks for having me on. >> I'm Paul Gillin, this is theCUBE. (tech music)

>> Announcer: Live from downtown San Francisco, it's theCUBE, covering IBM Chief Data Officers Strategy Summit 2018, brought to you by IBM. >> We're back in San Francisco, everybody. This is theCUBE, the leader in live tech coverage, and we're here covering exclusive coverage of IBM's Chief Data Officer Strategy Summit. This is the summit, as I said, they book in at each coast, San Francisco and Boston. Intimate, a lot of senior practitioners, chief data officers, data folks, people who love data. Caitlyn Halferty is back. She's the Client Engagement Executive and the Chief Data Officer office at IBM. Great. And, Allen Crane, Vice President at USAA. >> Thank you. >> Good to see you. Thanks for coming on. All right. >> Thanks for having us. >> You're welcome. Well, good day today, as I said, a very intimate crowd. You're here as a sort of defacto CDO, learning, sharing, connecting with peers. Set up your role, Allen. Tell us about that. >> At USA, we've got a distributed data and analytics organization where we have centralized functions in our hub, and then each of the lines of business have their own data offices. I happen to have responsibility for all the different ways that our members interact with us, so about 100 million phone calls a year, about a couple billion internet and digital sessions a year, most of that is on mobile, and always lookin' at the ways that we can give back time to our membership, as well as our customer service reps, who we call our member service reps, so that they can serve our members better. The faster and more predictive we can be with being able to understand our members better and prompt our MSRs with the right information to serve them, then the more they can get on to the actual value of that conversation. >> A lot of data. So, one of the things that Inderpal talked about the very first time I met him, in Boston, he talked about the Five Pillars, and the first one was you have to understand as a CDO, how your organization gets value out of data. You said that could be direct monetization or, I guess, increased revenue, cut costs. That's value. >> Right. >> That's right. >> That's the starting point. >> Right. >> So, how did you start? >> Well, actually, it was the internal monetization. So, first off, I want to say USA never sells any of our member data, so we don't think of monetization in that framework, but we do think of it terms of how do we give something that's even more precious than money back to our company and to our members and the MSRs? And, that is really that gift of time. By removing friction from the system, we've been able to reduce calls per member, through digitization activities, and reduced transfers and reduced misdirects by over 10% every year. We're doing work with AI and machine learning to be able to better anticipate what the member is calling about, so that we can get them to the right place at the right time to the right set member service representatives. And, so all these things have resulted in, not just time savings but, obviously, that translates directly to bottom line savings, but at the end of the day, it's about increasing that member service level, increasing your responsiveness, increasing the speed that you're answering the phone, and ultimately increasing that member satisfaction. >> Yeah, customer satisfaction, lowers churn rates, that's a form of monetization, >> Absolutely. >> so it's hard dollars to the CFO, right? >> Absolutely, yeah. >> All right, let's talk about the role of the CDO. This is something that we touched on earlier. >> Yes. >> We're bringing it home here. >> Yes. >> Last segment. Where are we at with the role of the CDO? It was sort of isolated for years in regulated industries, >> Correct. >> permeated to mainstream organizations. >> Correct. >> Many of those mainstream organizations can move faster, 'cause their not regulated, so have we sort of reached parody between the regulated and the unregulated, and what do you discern there in terms of patterns and states of innovation? >> Sure. I think when we kicked off these summits in 2014, many of our CDOs came from CIO type organizations, defensive posture, you know, king of the data warehouse that we joke about, and now annuls reports of that time were saying maybe 20% of large organizations were investing in the CDO or similar individual responsible for enterprise data, and now we see analysts reports coming out to say upwards of 85, even 90%, of organizations are investing in someone responsible for that role of the CDO type. In my opening remarks this morning, I polled the room to say who's here for the first time. It was interesting, 69, 70% of attendees were joining us for the first time, and I went back, okay, who's been here last year, year before, and I said who was here from the beginning, 2014 with us, and Allen is one of the individuals who's been with us. And, as much as the topics have changed and the role has grown and the purview and scope of responsibilities, some topics have remained, our attendees tell us, they're still important, top-of-mind, and data monetization is one of those. So, we always have a panel on data monetization, and we've had some good discussions recently, that the idea of it's just the external resell, or something to do with selling data externally is one view, but really driving that internal value, and the ways you drive out those efficiencies is another perspective on it. So, fortunate to have Allen here. >> Well, we've been able to, for that very reason, we've been able to grow our team from about six or seven people five years ago to well over a hundred people, that's focused on how we inefficiency out of the system. That mere 10%, when your call-per-member reduction, when you're taking 30 million calls in the bank, you know, that's real dollars, three million calls out of the system that you can monetize like that. So, it's real value that the company sees in us, and I think that, in a sense, is really how you want to be growing in a data organization, because people see value in you, are willing to give you more, and then you start getting into those interesting conversations, if I gave you more people, could you get me more results? >> Let's talk about digital transformation and how it relates to all this. Presumably, you've got a top down initiative, the CEO says, he or she says, okay, this is important. We got to do it. Boom, there's the North Star. Let's go. What's the right regime that you're seeing? Obviously, you've got to have the executive buy-in, you've got the Chief Data Officer, you have the Chief Digital Officer, the Chief Operating Officer, the CFO's always going to be there, making sure things are on track. How are you seeing that whole thing shake out, at least in your organization? >> Well, one thing that we've been seeing is digital digitization or the digital transformation is not about just going only digital. It's how does all this work together. It can't just be an additive function, where you're still taking just as many calls and so forth, but it's got to be something that that experience online has got to do something that's transformative in your organization. So, we really look at the member all the way through that whole ecosystem, and not just through the digital lens. And, that's really where teams like ours have really been able to stitch together the member experience across all their channels that they're interacting with us, whether that's the marketing channels or the digital channels or the call channel, so that we can better understand that experience. But, it's certainly a complementary one. It can't just be an additive one. >> I wonder if we could talk about complacency, in terms of digital transformation. I talk to a lot of companies and there's discussion about digital, but you talk to a lot of people who say, well, we're doing fine. Maybe not in our industry. Insurance is one that hasn't been highly disruptive, financial services, things like aerospace. I'll be retired by the time this all, I mean, that's true, right? And, probably accurate. So, are you seeing a sense of complacency or are you seeing a sense of urgency, or a mix or both? What are you seeing, Caitlyn? >> Well, it's interesting, and people may not be aware, but I'm constantly polling our attendees to ask what are top-of-mind topics, what are you struggling with, where are you seeing successes, and digital was one that came up for this particular session, which is why tomorrow's keynote, we have our Chief Digital Officer giving the morning keynote, to show how our data office and digital office are partnering to drive transformation internally. So, at least for our perspective, in the internal side of it, we have a priority initiative, a cognitive sales advisor, and it's essentially intended to bring in disparate part of customer data, obtained through many different channels, all the ways that they engage with us, online and other, and then, deliver it through sales advisor app that empowers our digital sellers to better meet their revenue targets and impact, and develop more of a quality client relationship and improve that customer experience. So, internally, at least, it's been interesting to see one of our strongest partnerships, in terms of business unit, has been our data and digital office. They say, look, the quality of the data is at the core, you then enable our digital sellers, and our clients benefit, for a better client experience. >> Well, about a year ago, we absolutely changed the organization to align the data office with the digital office, so that reports to our executive counsel level, so their peers, that reporting to the same organization, to ensure that those strategies are connected. >> Yeah, so as Caitlyn was saying, this Chief Data Officer kind of emerged from a defensive posture of compliance, governance, data quality. The Chief Digital Officer, kind of new, oftentimes associated with marketing, more of an external, perhaps, facing role, not always. And then, the CIO, we'll say, well, wait a minute, data is the CIO's job, but, of course, the CIO, she's too busy trying to keep the lights on and make everything work. So, where does the technology organization fit? >> Well, all that's together, so when we brought all those things together at the organizational level, digital, data, and technology were all together, and even design. So, you guys are all peers, reporting into the executive committee, essentially, is that right? Yes, our data, technology, and design, and digital office are all peers reporting to the same executive level. And then, one of the other pillars that Inderpal talks about is the relationship with the line of business. So, how is that connective tissue created? Well, being on the side that is responsible for how all of our members interact, my organization touches every product, every line of business, every channel that our members are interacting with, so our data is actually shared across the organization, so right now, really my focus is to make sure that that data is as accessible as it can be across our enterprise partners, it's as democratized as it can be, it's as high as quality. And then, things that we're doing around machine learning and AI, can be enabled and plugged into from all those different lines of business. >> What does success look like in your organization? How do you know you're doing well? I mean, obviously, dropping money to the bottom line, but how are you guys measuring yourselves and setting objectives? What's your North Star? >> I think success, for me, is when you're doing a good job, to the point that people say that question, could you do more if I gave you more? That, to me, is the ultimate validation. It's how we grew as an organization. You know, we don't have to play that justification game When people are already coming to the table saying, You're doing great work. How can you do more great work? >> So, what's next for these summits? Are you doing Boston again in the fall? Is that right? Are you planning >> We are, we are, >> on doing that? >> and you know, fall of last year, we released the blueprint, and the intent was to say, hey, here's the reflection of our 18 months, internal journey, as well as all our client interactions and their feedback, and we said, we're coming back in the spring and we're showing you the detail of how we really built out these internal platforms. So, we released our hybrid on-prem Cloud showcase today, which was great, and to the level of specificity that shows that the product solutions, what we're using, the Flash Storage, some of the AI components of machine learning models. >> The cognitive systems component? >> Exactly. And then, our vision, to your question to the fall, is coming back with the public Cloud showcases. So, we're already internally doing work on our public Cloud, in particular respect to our backup, some of our very sensitive client data, as well as some initial deep learning models, so those are the three pieces we're doing in public Cloud internally, and just as we made the commitment to come back and unveil and show those detail, we want to come back in the fall and show a variety of public Cloud showcases where we're doing this work. And then, hopefully, we'll continue to partner and say, hey, here's how we're doing it. We'd love to see how you're doing it. Let's share some best practices, accelerate, build these capabilities. And, I'll say to your business benefit question, what we've found is once we've built that platform, we call it, internally, a one IBM architecture, out our platform, we can then drive critical initiatives for the enterprise. So, for us, GVPR, you know, we own delivery of GVPR readiness across the IBM corporation, working with senior executives in all of our lines of business, to make sure we get there. But, now we've got the responsibility to drive out initiatives like that cross business unit, to your question on the partnerships. >> The evolution of this event seems to be, well, it's got a lot of evangelism early on, and now it's really practical, sort of sharing, like you say, the blueprint, how to apply it, a lot of people asking questions, you know, there's different levels of maturity. Now, you guys back tomorrow? You got to panel, you guys are doing a panel on data monetization? >> We're doing a panel on data monetization tomorrow. >> Okay, and then, you've got Bob Lord and Inderpal talking about that, so perfect juxtaposition and teamwork of those two major roles. >> And, this is the first time we've really showcased the data/digital partnership and connection, so I'm excited, want to appeal to the developer viewpoint of this. So, I think it'll be a great conversation about data at the core, driving digital transformation. And then, as you said, our data monetization panel, both external efforts, as well as a lot of the internal value that we're all driving, so I think that'll be a great session tomorrow. >> Well, and it's important, 'cause there's a lot of confusing, and still is a lot of confusion about those roles, and you made the point early today, is look, there's a big organizational issue you have to deal with, particularly around data silos, MyData. I presume you guys are attacking that challenge? >> Absolutely. >> Still, it's still a-- >> It's an ongoing-- >> Oh, absolutely. >> I think we're getting a lot better at it, but you've got to lean in, because if it's not internal, it's some of the external challenges around. Now we're picking Cloud vendors and so forth. Ten years ago, we had our own silos and our own warehouses, if we had a warehouse, and then, we were kind of moving into our own silos in our own databases, and then as we democratized that, we solved the one problem, but now our data's so big and compute needs are so large that we have no choice but to get more external into Cloud. So, you have to lean in, because everything is changing at such a rapid rate. >> And, it requires leadership. >> Yep. >> Absolutely. >> The whole digital data really requires excellent leadership, vision. IBM's catalyzing a lot of that conversation, so congratulations on getting this going. Last thoughts. >> Oh, I would just say, we were joking that 2014, the first couple of summits, small group, maybe 20-30 participants figuring out how to best organize from a structural perspective, you set up the office, what sort of outcomes, metrics, are we going to measure against, and those things, I think, will continue to be topics of discussion, but now we see we've got about 500 data leaders that are tracking our journey and that are involved and engaged with us. We've done a lot in North America, we're starting to do more outside the geographies, as well, which is great to see. So, I just have to say I think it's interesting to see the topics that continue to be of interest, the governance, the data monetization, and then, the new areas around AI, machine learning, data science, >> data science >> the empowering developers, the DevOps delivery, how we're going to deliver that type of training. So, it's been really exciting to see the community grow and all the best practices leveraged, and look forward to continuing to do more of that this year as well. >> Well, you obviously get a lot of value out of these events. You were here at the first one, you're here today. So, 2018. Your thoughts? >> I think the first one, we were all trying to figure out who we are, what's our role, and it varied from I'm a individual contributor, data evangelist in the organization to I'm king of the warehouse thing. >> Right. >> And, largely, from that defensive standpoint. I think, today, you see a lot more people that are leaning in, leading data science teams, leading the future of where the organizations are going to be going. This is really where the center of a lot of organizations are starting to pivot and look, and see, where is the future, and how does data become the leading edge of where the organization is going, so it's pretty cool to be a part of a community like this that's evolving that way, but then also being able to have that at a local level within your own organization. >> Well, another big take-away for me is the USAA example shows that this can pay for itself when you grow your own organization from a handful of people to a hundred plus individuals, driving value, so it makes it easier to justify, when you can demonstrate a business case. Well, guys, thanks very much for helping me wrap here. >> Absolutely. >> I appreciate you having us here. >> Thank you. >> It's been a great event. Always a pleasure, hopefully, we'll see you in the fall. >> Sounds good. Thank you so much. >> All right, thanks, everybody, for watching. We're out. This is theCUBE from IBM CDO Summit. Check out theCUBE.net for all of the videos, siliconangle.com for all the news summaries of this event, and wikibon.com for all the research. We'll see you next time. (techy music)