>>from the Cube Studios in >>Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. Everybody welcome this special digital presentation where we're covering the topic of data ops and specifically how IBM is really operationalize ing and automating the data pipeline with data office. And with me is Interpol Bhandari, who is the global chief data officer at IBM and Paul. It's always great to see you. Thanks for coming on. >>My pleasure. >>So, you know the standard throwaway question from guys like me And you know what keeps the chief data officer up at night? Well, I know what's keeping you up that night. It's coverted 19. How you >>doing? It's keeping keeping all of us. >>Yeah, for sure. Um, So how are you guys making out as a leader I'm interested in, You know, how you have responded would whether it's communications. Obviously you're doing much more stuff you remotely You're not on airplanes. Certainly like you used to be. But But what was your first move when you actually realized this was going to require a shift? >>Well, I think one of the first things that I did wants to test the ability of my organization, You work remotely. This was well before the the recommendations came in from the government just so that we wanted to be sure that this is something that we could pull off if there were extreme circumstances where even everybody was. And so that was one of the first things we did along with that. I think another major activity that's being boxed off is even that we have created this Central Data and AI platform for idea using our hybrid, multi cloud approach. How could that the adaptive very, very quickly help them look over the city? But those were the two big items that my team and my embarked on and again, like I said, this is before there was any recommendations from the government or even internally, within IBM. Have any recommendations be? We decided that we wanted to run ahead and make sure that we were ready to ready to operate in that fashion. And I believe a lot of my colleagues did the same. Yeah, >>there's a there's a conversation going on right now just around productivity hits that people may be taking because they really weren't prepared it sounds like you're pretty comfortable with the productivity impact that you're achieving. >>Oh, I'm totally comfortable with the politics. I mean, in fact, I will tell you that while we've gone down this spot, we've realized that in some cases the productivity is actually going to be better when people are working from home and they're able to focus a lot more on the work, you know, And this could. This one's the gamut from the nature of the jaw, where you know somebody who basically needs to be in the front of the computer and is remotely taking care of operations. You know, if they don't have to come in, their productivity is going to go up Somebody like myself who had a long drive into work, you know, which I would use a phone calls, but that that entire time it can be used a lot more productivity, locked in a lot more productive manner. So there is. We realized that there's going to be some aspect of productivity that will actually be helped by the situation. Why did you are able to deliver the services that you deliver with the same level of quality and satisfaction that you want Now there were certain other aspect where you know the whole activity is going to be effective. So you know my team. There's a lot off white boarding that gets done there lots off informal conversations that spot creativity. But those things are much harder to replicate in a remote and large. So we've got a sense off. You know where we have to do some work? Well, things together. This is where we're actually going to be mobile. But all in all, they're very comfortable that we can pull this off. >>That's great. I want to stay on Cove it for a moment and in the context of just data and data ops, and you know why Now, obviously, with a crisis like this, it increases the imperative to really have your data act together. But I want to ask you both specifically as it relates to covert, why Data office is so important. And then just generally, why at this this point in time, >>So, I mean, you know, the journey we've been on. Thank you. You know, when I joined our data strategy centered around cloud data and ai, mainly because IBM business strategy was around that, and because there wasn't the notion off AI and Enterprise, right, there was everybody understood what AI means for the consumer. But for the enterprise, people don't really understand. Well, what a man. So our data strategy became one off, actually making IBM itself into an AI and and then using that as a showcase for our clients and customers who look a lot like us, you make them into AI. And in a nutshell, what that translated to was that one had two in few ai into the workflow off the key business processes off enterprise. So if you think about that workflow is very demanding, right, you have to be able to deliver. They did not insights on time just when it's needed. Otherwise, you can essentially slow down the whole workflow off a major process within an end. But to be able to pull all that off you need to have your own data works very, very streamlined so that a lot of it is automated and you're able to deliver those insights as the people who are involved in the work floor needed. So we've spent a lot of time while we were making IBM into any I enterprise and infusing AI into our key business processes into essentially a data ops pipeline that was very, very streamlined, which then allowed us to do very quickly adapt do the over 19 situation and I'll give you one specific example that will go to you know how one would someone would essentially leverage that capability that I just talked about to do this. So one of the key business processes that we have taken a map, it was our supply chain. You know, if you're a global company and our supply chain is critical, you have lots of suppliers, and they are all over the globe. And we have different types of products so that, you know, has a multiplication factors for each of those, you have additional suppliers and you have events. You have other events, you have calamities, you have political events. So we have to be able to very quickly understand the risks associated with any of those events with regard to our supply chain and make appropriate adjustments on the fly. So that was one off the key applications that we built on our central data. And as Paul about data ops pipeline. That meant we ingest the ingestion off those several 100 sources of data not to be blazingly fast and also refresh very, very quickly. Also, we have to then aggregate data from the outside from external sources that had to do with weather related events that had to do with political events. Social media feeds a separate I'm overly that on top off our map of interest with regard to our supply chain sites and also where they were supposed to deliver. We also leave them our capabilities here, track of those shipments as they flowed and have that data flow back as well so that we would know exactly where where things were. This is only possible because we had a streamline data ops capability and we have built this Central Data and AI platform for IBM. Now you flip over to the Coleman 19 situation when Corbyn 19 merged and we began to realize that this was going to be a significant significant pandemic. What we were able to do very quickly wants to overlay the over 19 incidents on top of our sites of interest, as well as pick up what was being reported about those sites of interests and provide that over to our business continuity. So this became an immediate exercise that we embark. But it wouldn't have been possible if you didn't have the foundation off the data office pipeline as well as that Central Data and AI platform even plays to help you do that very, very quickly and adapt. >>So what I really like about this story and something that I want to drill into is it Essentially, a lot of organizations have a really tough time operational izing ai, infusing it to use your word and the fact that you're doing it, um is really a good proof point that I want to explore a little bit. So you're essentially there was a number of aspects of what you just described. There was the data quality piece with your data quality in theory, anyway, is going to go up with more data if you can handle it and the other was speed time to insight, so you can respond more quickly if it's talk about this Covic situation. If you're days behind for weeks behind, which is not uncommon, sometimes even worse, you just can't respond. I mean, the things change daily? Um, sometimes, Certainly within the day. Um, so is that right? That's kind of the the business outcome. An objective that you guys were after. >>Yes, you know, So Rama Common infuse ai into your business processes right over our chain. Um, don't come metric. That one focuses on is end to end cycle time. So you take that process the end to end process and you're trying to reduce the end to end cycle time by several factors, several orders of magnitude. And you know, there are some examples off things that we did. For instance, in my organ organization that has to do with the generation of metadata is data about data. And that's usually a very time consuming process. And we've reduced that by over 95%. By using AI, you actually help in the metadata generation itself. And that's applied now across the board for many different business processes that, you know IBM has. That's the same kind of principle that was you. You'll be able to do that so that foundation essentially enables you to go after that cycle time reduction right off the bat. So when you get to a situation like over 19 situation which demands urgent action. Your foundation is already geared to deliver on that. >>So I think actually, we might have a graphic. And then the second graphic, guys, if you bring up a 2nd 1 I think this is Interpol. What you're talking about here, that sort of 95% reduction. Ah, guys, if you could bring that up, would take a look at it. So, um, this is maybe not a cove. It use case? Yeah. Here it is. So that 95% reduction in the cycle time improvement in data quality. What we talked about this actually some productivity metrics, right? This is what you're talking about here in this metadata example. Correct? >>Yeah. Yes, the metadata. Right. It's so central to everything that one does with. I mean, it's basically data about data, and this is really the business metadata that you're talking about, which is once you have data in your data lake. If you don't have business metadata describing what that data is, then it's very hard for people who are trying to do things to determine whether they can, even whether they even have access to the right data. And typically this process is being done manually because somebody looks at the data that looks at the fields and describe it. And it could easily take months. And what we did was we essentially use a deep learning and natural language processing of road. Look at all the data that we've had historically over an idea, and we've automated metadata generation. So whether it was, you know, you were talking about the data relevant for 19 or for supply chain or far receivable process any one of our business processes. This is one of those fundamental steps that one must go through. You'll be able to get your data ready for action. And if you were able to take that cycle time for that step and reduce it by 95% you can imagine the acceleration. >>Yeah, and I like you were saying before you talk about the end to end concept, you're applying system thinking here, which is very, very important because, you know, a lot of a lot of clients that I talk to, they're so focused on one metric maybe optimizing one component of that end to end, but it's really the overall outcome that you're trying to achieve. You may sometimes, you know, be optimizing one piece, but not the whole. So that systems thinking is very, very important, isn't it? >>The systems thinking is extremely important overall, no matter you know where you're involved in the process off designing the system. But if you're the data guy, it's incredibly important because not only does that give you an insight into the cycle time reduction, but it also give clues U N into what standardization is necessary in the data so that you're able to support an eventual out. You know, a lot of people will go down the part of data governance and the creation of data standards, and you can easily boil the ocean trying to do that. But if you actually start with an end to end, view off your key processes and that by extension the outcomes associated with those processes as well as the user experience at the end of those processes and kind of then work backwards as one of the standards that you need for the data that's going to feed into all that, that's how you arrive at, you know, a viable practical data standards effort that you can essentially push forward so that there are multiple aspect when you take that end to end system view that helps the chief legal. >>One of the other tenants of data ops is really the ability across the organization for everybody to have visibility. Communications is very key. We've got another graphic that I want to show around the organizational, you know, in the right regime, and it's a complicated situation for a lot of people. But it's imperative, guys, if you bring up the first graphic, it's a heritage that organizations, you know, find bringing the right stakeholders and actually identify those individuals that are going to participate so that this full visibility everybody understands what their roles are. They're not in silos. So, guys, if you could show us that first graphic, that would be great. But talk about the organization and the right regime there. Interpol? >>Yes, yes, I believe you're going to know what you're going to show up is actually my organization, but I think it's yes, it's very, very illustrative what one has to set up. You'll be able to pull off the kind of impact that I thought So let's say we talked about that Central Data and AI platform that's driving the entire enterprise, and you're infusing AI into key business processes like the supply chain. Then create applications like the operational risk in size that we talked about that extended over. Do a fast emerging and changing situation like the over 19. You need an organization that obviously reflects the technical aspects of the right, so you have to have the data engineering on and AI on. You know, in my case, there's a lot of emphasis around deep learning because that's one of those skill set areas that's really quite rare, and it also very, very powerful. So uh huh you know, the major technology arms off that. There's also the governance on that I talked about. You have to produce the set off standards and implement them and enforce them so that you're able to make this into an impact. But then there's also there's a there's an adoption there. There's a There's a group that reports into me very, very, you know, Empowered Group, which essentially has to convince the rest of the organization to adopt. Yeah, yeah, but the key to their success has been in power in the sense that they're on power. You find like minded individuals in our key business processes. We're also empowered. And if they agree that just move forward and go and do it because you know, we've already provided the central capabilities by Central. I don't mean they're all in one location. You're completely global and you know it's it's It's a hybrid multi cloud set up, but it's a central in the sense that it's one source to come for for trusted data as well as the the expertise that you need from an AI standpoint to be able to move forward and deliver the business out. So when these business teams come together, be an option, that's where the magic happens. So that's another another aspect of the organization that's critical. And then we've also got, ah, Data Officer Council that I chair, and that has to do with no people who are the chief data officers off the individual business units that we have. And they're kind of my extended teams into the rest of the organization, and we levers that bolt from a adoption off the platform standpoint. But also in terms of defining and enforcing standards. It helps them stupid. >>I want to come back over and talk a little bit about business resiliency people. I think it probably seen the news that IBM providing supercomputer resource is that the government to fight Corona virus. You've also just announced that that some some RTP folks, um, are helping first responders and non profits and providing capabilities for no charge, which is awesome. I mean, it's the kind of thing. Look, I'm sensitive companies like IBM. You know, you don't want to appear to be ambulance chasing in these times. However, IBM and other big tech companies you're in a position to help, and that's what you're doing here. So maybe you could talk a little bit about what you're doing in this regard. Um, and then we'll tie it up with just business resiliency and importance of data. >>Right? Right. So, you know, I explained that the operational risk insights application that we had, which we were using internally, we call that 19 even we're using. We're using it primarily to assess the risks to our supply chain from various events and then essentially react very, very quickly. Do those doodles events so you could manage the situation. Well, we realize that this is something that you know, several non government NGOs that they could essentially use. There's a stability because they have to manage many of these situations like natural disaster. And so we've given that same capability, do the NGOs to you and, uh, to help that, to help them streamline their planning. And there's thinking, by the same token, But you talked about over 19 that same capability with the moment 19 data over layed on double, essentially becomes a business continuity, planning and resilience. Because let's say I'm a supply chain offers right now. I can look at incidents off over night, and I can I know what my suppliers are and I can see the incidents and I can say, Oh, yes, no, this supplier and I can see that the incidences going up this is likely to be affected. Let me move ahead and stop making plans backup plans, just in case it reaches a crisis level. On the other hand, if you're somebody in revenue planning, you know, on the finance side and you know where you keep clients and customers are located again by having that information over laid that those sites, you can make your own judgments and you can make your own assessment to do that. So that's how it translates over into business continuity and resolute resilience planning. True, we are internally. No doing that now to every department. You know, that's something that we're actually providing them this capability because we build rapidly on what we have already done to be able to do that as we get inside into what each of those departments do with that data. Because, you know, once they see that data, once they overlay it with their sights of interest. And this is, you know, anybody and everybody in IBM, because no matter what department they're in, there are going to decide the interests that are going to be affected. And they haven't understanding what those sites of interest mean in the context off the planning that they're doing and so they'll be able to make judgments. But as we get a better understanding of that, we will automate those capabilities more and more for each of those specific areas. And now you're talking about the comprehensive approach and AI approach to business continuity and resilience planning in the context of a large IT organization like IBM, which obviously will be of great interest to our enterprise, clients and customers. >>Right? One of the things that we're researching now is trying to understand. You know, what about this? Prices is going to be permanent. Some things won't be, but we think many things will be. There's a lot of learnings. Do you think that organizations will rethink business resiliency in this context that they might sub optimize profitability, for example, to be more prepared crises like this with better business resiliency? And what role would data play in that? >>So, you know, it's a very good question and timely fashion, Dave. So I mean, clearly, people have understood that with regard to that's such a pandemic. Um, the first line of defense, right is is not going to be so much on the medicine side because the vaccine is not even available and will be available for a period of time. It has to go through. So the first line of defense is actually think part of being like approach, like we've seen play out across the world and then that in effect results in an impact on the business, right in the economic climate and on the business is there's an impact. I think people have realized this now they will honestly factor this in and do that in to how they do become. One of those things from this is that I'm talking about how this becomes a permanent. I think it's going to become one of those things that if you go responsible enterprise, you are going to be landing forward. You're going to know how to implement this, the on the second go round. So obviously you put those frameworks and structures in place and there will be a certain costs associated with them, and one could argue that that would eat into the profitability. On the other hand, what I would say is because these two points really that these are fast emerging fluid situations. You have to respond very, very quickly. You will end up laying out a foundation pretty much like we did, which enables you to really accelerate your pipeline, right? So the data ops pipelines we talked about, there's a lot of automation so that you can react very quickly, you know, data injection very, very rapidly that you're able to do that kind of thing, that meta data generation. That's the entire pipeline that you're talking about, that you're able to respond very quickly, bring in new data and then aggregated at the right levels, infuse it into the work flows on the delivery, do the right people at the right time. Well, you know that will become a must. But once you do that, you could argue that there's a cost associated with doing that. But we know that the cycle time reductions on things like that they can run, you know? I mean, I gave you the example of 95% 0 you know, on average, we see, like a 70% end to end cycle time where we've implemented the approach, and that's been pretty pervasive within IBM across the business. So that, in essence, then actually becomes a driver for profitability. So yes, it might. You know this might back people into doing that, but I would argue that that's probably something that's going to be very good long term for the enterprises and world, and they'll be able to leverage that in their in their business and I think that just the competitive director off having to do that will force everybody down that path. But I think it'll be eventually ago >>that end and cycle time. Compression is huge, and I like what you're saying because it's it's not just a reduction in the expected loss during of prices. There's other residual benefits to the organization. Interpol. Thanks so much for coming on the Cube and sharing this really interesting and deep case study. I know there's a lot more information out there, so really appreciate your done. >>My pleasure. >>Alright, take everybody. Thanks for watching. And this is Dave Volante for the Cube. And we will see you next time. Yeah, yeah, yeah.

>> From the Amazon Meeting Center in downtown Seattle, it's theCUBE covering IMAGINE: A Better World, a Global Education Conference, sponsored by Amazon Web Services. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown Seattle at AWS IMAGINE Education. First year of the show, 900 registrants, 20 countries represented, really all the public sectors show, but this one's just focused on education as its own track. A lot of really interesting innovation going on, and as part of the keynote, we saw a really cool concept video about bringing Alexa into the class. The Echo Dot talking, and so, we're excited to have kind of the guy driving this whole project. He's David Hakanson, the CIO of Saint Louis University. First off, what a great keynote you had this morning. >> Thank you, thank you, and we're really excited to announce this today. So, today we announced that we are putting an Amazon Echo Dot in every single residence hall room. So, over 2,300 devices that will be in every room awaiting students for this fall. The device will be essentially their virtual assistant. They can ask questions specific to the university, through our custom skill, or any other question that's normally through the Alexa platform. >> So, the voice of God is talking above us, but that's okay. So, it was interesting when you were starting your presentation earlier today, I'm like, what are the applications going to be? I mean, what are these kids going to do with this? Like, we've got a Dot at home. We ask it to play music all the time, but you really did your homework on trying to think through what are the different use cases, what types of information are going to help the kids get their information a little bit faster, a little easier? >> That's right. We want this to be valuable for our students, and our students are active inside and outside of the classroom. Our university does over a million hours of community service a year, so we attract a very active student. We don't want them to be spending time searching for information. We want them to get that information immediately. Whether it's something simple, such as when is the library closed? Or, what channel is their favorite show going to be on? We want them to be able to get very fast access to information because right now, they have to search through web pages or calendars to find out what's going on on campus or other key information, and that takes time. >> Right. Well, it's funny because there's a lot of conversation about the educational experience, and really trying to develop an engaging experience for the kids in school, for the students, but the question is always, you know, how do you define engagement, what is engagement, and what are the actual things, the physical activities, that are going to drive this? And you guys, amazing stat. You said you went from concept to delivery in three months, and in that process, really explored a lot of interesting concepts. I wonder if you can add a little bit more color to that development process. >> Absolutely. It started with a six week pilot program, where we tested different virtual assistant technology to see what did the students really like, and they chose the Amazon Echo system. And once we made that decision, we were able to go from that concept to completion in three months, which was fantastic for us because we wanted to make sure we were ready for the fall semester. To do that, we worked very closely with AWS and the Alexa for Business team, as well as the partner, the skill development partner, called Empowered. We were able to use the partner ecosystem to allow us to move very quickly, and through that process engaging our students, engaging our stakeholders to make sure that the device was going to meet their needs, not just be something that looked good on their desk. >> Right. So was voice part of the initial design criteria, or did that come when you were looking at different type of interactive devices? Because clearly, the kids today are super adept on their phone, and they can text with their eyes closed with one finger tied behind their back. Voice is still relatively new. At least, maybe it's not as new as I think, so how did you get to the voice as the main UI for kind of this new, cutting edge information system? >> So, we started with voice saying we want a virtual assistant that's voice based because we see that as the future. So, if you're on your smart phone looking for information, you're still having to go to a website or to different data sources to get that, whereas asking a question is much faster, and getting that answer, it's a much faster transaction. So, we started with that saying how can we use voice technology to help our students be more productive, and then, engaged our students in that conversation, and they were very excited about that. >> Right. So, one of the really cool things about Alexa and the Dot is the programmability, which, obviously, you guys took advantage of. So, a little color on kind of how you chose what to program, but I think even more exciting is what kind of opportunities that opens up as an individual student, as a CS project in the class, and as you said, your university has a lot more going on than just incoming students. You've got graduate degrees, medical things going on, so I wonder if you can shed a little light on kind of how you developed what you have for the launch date, but you know, some of the future things that you see down the road. >> That really goes to the Alexa for Business foundation that we chose, and Alexa for Business was the differentiator for us. It was a key area because through that tool and ecosystem, we could manage the devices, and we could group the devices. So, we could group a learning community of engineers, of students studying engineering, and give them specialized skills or allow them to develop a skill and have that only on their devices, not on everyone else's devices. So, the ability to manage these allowed us to really focus on that educational experience, allow students to start creating skills, and then be able to manage and deploy them at scale. >> That's great. I can't wait to come back a year from now and hear kind of what happened. I'm sure there's going to be all kinds of cool surprises, tough surprises, you know, upsides and downsides 'cause you said they're getting installed this week and the kids are showing up in a couple weeks. >> That's correct, that's correct. (laughing) We're moving very quickly. >> Alright David. Well again, I'm going to give you the last word as you touched on it a little bit, but you know, how working with Amazon and AWS specifically you know, kind of impacted this project and how does that help you, you know deliver your objectives more efficiently and faster? >> Yeah, the only way we could have gone from concept to completion in three months was by working closely with AWS and the partner ecosystem. We could not have done this at any scale or efficient timeframe without them. They were a fantastic partner, helping us all the way from choosing the right partner to develop the skill to helping us on how do we get all these devices to work on our network, to how do we get all these devices working on our network and installed within a couple days, and so, from beginning to end AWS has been instrumental in our success to bring this new innovative technology to our students. >> Okay, well we might have to have a field trip out to Saint Louis and check it out. >> You're welcome to come. >> Alright, he's David, I'm Jeff. We're at AWS in downtown Seattle at AWS IMAGINE. Thanks for watching.

>> Narrator: Live from Las Vegas, it's The Cube! Covering Veritas Vision, 2017. Brought to you by Veritas. >> Welcome back to Las Vegas, everybody. This is the Cube, the leader in live tech coverage and we're here covering, wall-to-wall coverage of Veritas Vision 2017, hashtag: VtasVision. I'm Dave Vellante, with Stu Miniman. Lynn Lucas is here. She's the CMO of Veritas; welcome to The Cube. >> I am so excited to be on The Cube for the first time. Thank you for joining us. >> Well, thank you for having us. We're really excited to have you. We were talking off camera and this morning, in our open, about Richard Branson, the keynote. Very inspiring, so interesting, and then you got an opportunity to interview him and it was really substantive. So what was that like, what was it like meeting him, what was he like backstage? Share it with our audience. >> Absolutely. So, first, I, it really was an honor. The man has, when you do the research on him, the number of businesses he's created and disrupted is really amazing when you go back and look at it. The record industry, phone industry, airline industry. I mean, it goes on and on and he's still doing it. What I was most struck with, though, is that he's really humble and approachable. So we spent about 20 minutes with him in the backstage, and he was just a very genuine person. Very concerned, as you and your listeners may have heard, in the keynote, about the impact of the hurricanes. Really committed to philanthropy now, and what I loved is that he really understood what Veritas is doing with data, and he was able to really quickly connect that with how it might help on important issues that he's concerned about, namely climate change, making communities part of businesses, and so forth. It was fantastic. >> Well, I thought he did a really good job, and you guys did a really good job, because he's like, wow, Richard Branson, big name. But why is he at Veritas Vision? And he came, he talked about his agenda, he talked about the hurricane, he connected it to data, to climate change, and he very, like I said off camera, in a non-self-promoting way, let us know very quietly that yeah, of course the fee that I'm getting here I'm donating to the cause, and you should donate too. Right, and it was just really, congratulations on such a good get. >> Well, we were thrilled to have him and really honored to have him, and I truly felt that he understands the importance technology is playing. He actually told us that they were without cell phone and any kind of internet connection right after the hurricane for about, I think what he said was about seven days, and he said it was a very weird, disconnected feeling, because it's become so prevalent in our lives, and then when they all left and got on his plane to go back to London to mobilize aid for the British Virgin Islands, he said that he looked back in the plane, and he said every single person is on their phone like this. And it's such an interesting and powerful tool though, for generating interest in, unfortunately, the very horrible events that have happened, and so the social media, the connectivity that we all experience and getting that word out, I think he really connected with what we do as technologists here, and he had a really fascinating conversation with us about his interest in flying cars, so he's seeing potential for flying cars in the next few years and as a way to perhaps help us reduce carbon emissions and he's excited about technology. So I think he had a lot of fun. >> And we should mention, I think, Bill Coleman and Veritas is matching contributions and then you have extended that through his non-profit? >> Correct, so Bill Coleman also is a great philanthropist like Richard is, and ever since he's arrived here at Veritas he's been very lean-forward with making sure that Veritas is giving back. It was part of the culture, but I really feel that Bill has augmented that, and so for these recent set of disasters, hurricane Harvey, hurricane Irma, Veritas has set up a funding, and then we are doing double matching, and what we did after the unfortunate hurricane Irma came through is Virgin Unite is donating to the BBI's. We've added that to the list of charities and double matching that, as well. >> So people can go to Virgin Unite and donate, or they can donate through your website as well? >> They should go to Virgin Unite and donate, they should go to the, there's also the American Red Cross in the Houston area and the Miami area that are doing donations. Donate, you know, direct through them. >> So please, take a moment, if you can. Donate often, you know, every little bit helps for sure. Okay, so let's get into it. Quite a show, second year of Veritas. It's the rebirth of Veritas, and Veritas, in our view, how do you feel, give us the sort of rundown on the show. >> Oh, I, ah, fantastic. The feedback from the customers, which is what I'm really most concerned about here has been, this year, last year was a great coming out, but this Veritas is much more innovative than we ever thought you could be. We heard the predictions around 360 Data Management last year, but wow, you've delivered. You've got a new set of exciting announcements around what we're doing to move to the cloud. Clearly, the partnership with Microsoft is a huge part of that. New innovations in SDS. And so we've seen a great rise in attendance this year, in terms of our customers, and we've had a fabulous new set of sponsors, which I'm just thrilled to have here. Microsoft, Google, Oracle, IBM, which I think shows the strength of what we're doing to help customers as they move to the cloud, and they really are transforming their datacenter environment. >> So, talk a little bit about digital, as a marketing pro. Every customer we talked to is going through, if you talk to the C-level, they're going through digital transformations; it's real. As a CMO, you're living in a digital transformation. What does it mean from a marketing perspective? How are you addressing, you know, these trends and taking advantage of them? >> It's crucial. I spend most of my time with my staff thinking about: how do we advance our own digital expertise and take advantage of the data that we too have. Really, CMOs are in command of so much data around customers, or should be in command of so much data around customers, in a good way, to provide more content that is directed at what their problems are. I think we've all experienced the uncomfortable feeling where maybe you Google something and suddenly you're getting ad after ad after ad from a company, and it might have been an accidental Google search, right? So we can use it for good in that way, understanding our customers. We're on a real digitization journey. It's a big word, but what it means for me in marketing at Veritas is really advancing and investing in our marketing infrastructure. One of the new things that we've just done is a complete underpinning reboot of Veritas.com, which the audience can see has gone live right here, for Vision. Making the site more personalized and more relevant to those that are visiting it. >> Yeah, Lynn, one of the things we've been digging into a little bit is you have a lot of existing customers with, you know, a very strong legacy. There's all these new trends, and you threw out lots of, you know, really interesting data. You know, the IOT with 269 times greater data than the datacenter, ah, how do you balance, kind of, helping customers, you know, get more out of what they have but bringing them along, showing them the vision, you know, helping them along that path to the future? Because, you know, change is difficult. >> It is, but you know, I have to say, and I think Mike Palmer said this as well, at one point, actually, when I've visited customers, I've been in, this year, I've been to Australia, I've been to France, been to Germany, London, Singapore, all over in the US, and talking to a lot of our existing customers, and what they're telling us is really that: we want your help in moving forward. So, we really embrace our existing customers. We're not in the business of trying to go around them. But they're our best advocates, and I think as a marketer, it's really key to understand that, is your existing customers are your best advocates. So we're helping them understand what we're doing for them today and also helping them learn how they can be advocates and heroes maybe to other parts of the business with some of these new technologies. >> Yeah, that's a great point. I'd love for you to expand on, you know, in IT it was always: up, the admin for my product is kind of where I'm selling, and how do I get up to the C-suite? Conversations we've been having this week, there's a lot of the, you know, cloud strategy, the GDPR, you know, digitization. It's, you know, the person who might have boughten that backup is pulling in other members of the team. Talk to us a little bit about, you know, the dynamics inside the company, where Veritas is having those conversations. >> Yeah, I think actually you brought up GDPR, and that's a perfect example. So GDPR is a regulation that is going to impact any company that is holding data about a European Union citizen, and it's an area that Veritas can really solve problems in, but we didn't know a lot of the legal and compliance buyers, which often are the ones making the purchase decisions in this case. We have been so thrilled to see that our existing advocates in the backup space have been bringing us into conversations and in Europe, what we've done so successfully now is actually bring the two groups together in roundtables and have our current customers bring us into conversations with legal and compliance. And it's creating, for them, stronger connections within the business, and that makes them more relevant to their bosses and those other lines of business, and there's a lot of proactive or positive feedback around that, that I think is what marketers and sales should be thinking about. It's not about how to go around, it's about how do I bring you with me. >> So, as you go around the world, I wonder if, again, another marketing, marketing to me, is very challenging; you've got a hard job. Marketers, I don't have the marketing DNA. But you want to maintain your relevance. You're a 30-plus year old company. Take something like GDPR. How do you think about the content that you serve up your audience? You can scare 'em to death, you know? That's what a lot of people are doing. You can educate them, but it's kind of deep and wonky. How are you thinking about that transfer of knowledge, you know, for the benefit of customers and obviously, ultimately, for the benefit of Veritas? >> So the way I think about that is B to H. Business to Human. So at the end of the day, you know, we talk about B to B marketing or B to C marketing. It's B to H, now, and what I mean by that is: at the end of the day, we're all human, individuals, we have a lot coming at us, as you've pointed out, with information and data, so what we've done is definitely not a scare tactic. Yes, GDPR is coming. But I think that in marketing, my philosophy is: let's work on how we can help you in the positive. I don't believe in the fear, uncertainty and doubt. And what we've done is approach it as we would hope to be approached, which is: let's give you some practical information simply, in amounts that you can absorb. And let's face it, I think Josie was the one that said this, our attention span is about that of a goldfish. I can't remember if it was plus or minus one second. And so, what we've actually gotten great feedback on is that we've broken the GDPR regulation down into very simple parts, and we've said: hey, here are the five parts. Here's how we're relevant and can help you. And we've done that in pieces that are as simple as a one-page infographic. We can obviously go a lot more complex, but at the beginning, when you're researching a topic, you're not looking for the 40-page white paper anymore. You're looking for what we call "snackable" pieces of content that get you interested. >> Yeah, that was good. I remember that infographic from the session yesterday. It was sort of, you know, discover and then four other steps and then, you know, made it sound simple. Even though we know it's more complicated, but at least it allows a customer to frame it. Okay, I think I can now get my arms around these. I understand there's a lot of depth beneath each of them, but it helps me at least begin to clock it. Another topic we want to talk about is women in tech. We had a great conversation with Alicia Johnson from Accenture about WAVE, which is Women and Veritas Empowered. Right? Talk about, again, the relevance of those programs generally and I want to ask you some follow-up questions. >> Sure, so I'm a big believer in those types of programs. We want to sponsor those here and bring together our own Veritas female engineering community, but also our customers that are here. I think that while we would all like it to be a world where we were at a neutral, bias-free, we're not quite there yet. And I think programs that bring people together, whether it's gender or any other dimension, are important to get people to connect in a community, share with each other, learn from each other, and so, I do hope one day for my daughter, who's 11, perhaps that this is a non-topic, but until it isn't, I think the power of sharing is important, and so I'm really pleased to have WAVE. It's our second year having WAVE. It was a bigger program with Accenture sponsoring it. And we look forward to continuing to do that. Veritas also will have a big presence at the Anita Borg Institute, which is coming up next month, as well. >> Yeah, and The Cube will be there, of course. It'll be our, what, fourth year there, Stu? So it's a big show for us and we're obviously big supporters of the topic; we tend to talk about it a lot. And I think, you know, Lynn, your point is right. Hopefully by the time our daughters are grown up, we won't be talking about it, but I think it's important to talk about now. >> Lynn: It is. >> And one of the things that Accenture laid out is that, by 2025, their objective is to have 50 percent, you know, women on staff, and I think it was 25 percent women in leadership positions. I was impressed and struck, and I wonder if you can comment as a C-level executive, struck by the emphasis on P&L management, which, you know, tends to be a man's world. But, thoughts on that and you, as a C-level executive, you know, women in that position? >> Yeah, and again, it's one of these things where I'll have to say it's a little both uncomfortable, but obviously I feel that it is still important to talk about because I wish we were at a place where we didn't have to. I'm really proud of Veritas, because we have myself and Michelle Vanderhar on Bill's staff. So Bill has been a promoter of having diversity on his own direct staff, and I think that top down approach is super important in Silicon Valley and any business that there's real support for that. And Michelle Vanderhar is our chief council, which has, in many cases, not been a position where you would have seen a lady leading that. So we work on that at Veritas, and I personally believe it and I think Mr. Branson said that, as well, in his keynote as well this morning. When we have diversity, we have a breadth of ideas that makes it just a better place to work, and frankly, I think, leads to better innovation in whatever field that you're in. >> Lynn, last question I wanted to ask you, the tagline of the conference is: the truth in information. So much gets talked about, you know, what's real news? You know, what's fake? What do you want people, as the takeaway for Veritas and the show? The truth in information is our rallying cry, and you're right, I think it couldn't be more timely. We're not here to take a particular political stance, but what we find is in the business world, the companies are struggling with: where do I find what's really relevant? Let me give you a story. I was in France earlier this year, sitting with a CIO of one of the very largest oil and gas companies in France. Happens to be a lady who was formerly the chief data officer and she'd moved from that position into the CIO position. And when we talk about the truth in information, the example that she gave us which was so striking is that they've been doing the scans of the Earth, and actually the streets of Paris, for 50, 60 years, to understand the infrastructure, what they may have, and so forth, and at this point, with all of that data, they literally are having a hard time understanding what, out of all of these pieces of information, these topographical scans that they have, is relevant anymore. And this is the same story that I've heard in pharmaceutical companies that are doing drug tests. This is the same story that you would hear in, frankly, media companies that are doing filming, and are trying and all of this is digitized. So, when we talk about that with our customers, it really resonates, is that with so much coming at us, it's hard, in business as well as it is in our consumer lives, to really know: what do I have that's relevant? And I think the opportunity Veritas has is to help customers with a single data management platform, start to get a handle on that and be able to be much more efficient and productive. >> Alright, Lynn Lucas, we have to leave it there. Thanks so much for coming on The Cube. We really appreciate it. >> Thank you! I really enjoyed my first time. I can't wait to be back on again, and hope to have you guys here next year, Vision 2018. >> We'd love to be here. Alright, bringing you the truth, from Veritas Vision, this is The Cube. We'll be right back. (uptempo musical theme)

>> Male Announcer: Live from Las Vegas, it's theCUBE, covering Veritas Vision 2017. Brought to you by Veritas. >> Welcome back to The Aria in Las Vegas, everybody. This is theCUBE, the leader in live tech coverage. My name is Dave Vellante. I'm here With Stu Miniman. Alicia Johnson is here. She's the managing director at Accenture Operations, and we're going to have a conversation about diversity, women in tech. Alicia, thanks so much for coming on theCUBE. Appreciate it. >> Delighted to be here today. Thank you. >> Yeah, we're thrilled because we saw some action on Twitter, we saw the WAVE activity going on, we said, "Hey, we got to get some of these folks on theCUBE," so really appreciate you taking the time here. Let's start with your role at Accenture, and then we'll get into WAVE and what that's all about. >> Fantastic. So thank you for having me today, and I'm delighted to represent the Accenture and Veritas partnership and be able to speak at WAVE last evening. Within Accenture, we put a high priority on inclusion and diversity. One of the things that we've come out and publicly announced is that we want a 50% women workforce by 2025. We've been doing research over the last three years, and Accenture is publicly committed to growing that percentage of our women managing directors to at least 25% by 2020, so we really focus on retaining, attaining, and advancing women, and sponsoring them in that pursuit for gender balance. >> So that's an amazing statistic. I mean, I think the average in the tech industry is 17%. Is that about right? >> About that, yeah. And a lot of the fundraising these days actually goes to venture capital men-run firms, and so we're really interested in helping set that gender paradigm as well so that more VC money goes out toward women and women investments and women VCs. >> Well, it's interesting. I mean, we've done some work in this area at siliconANGLE, and we've funded some fellowships to study this problem, and two of the places that were egregious offenders, Silicon Valley and Cambridge, Massachusetts, but you have to get it out there and talk about it, right? But so, when you say 50% by 2025, that's a goal? Is that a strict, people would use the term quota? Let's have that discussion. What does that all mean? >> It's a commitment that we're making, and one of the ways that within Accenture we really feel that we can hold to that commitment is making some changes internally and also being very transparent. So we have set that transparency goal across not only sponsoring women in P&L goals, but coming forward and making that commitment to transparency by publicly making the announcement. So the company has already set these clear, published, measurable targets to grow the number of women. We publish our workforce demographics, and we do this across many countries, including U.S., Canada, South Africa, Japan, India, and also our Asian countries. We also launch initiatives that are very focused on high-demand, short-supply, high-performing women in technical architect roles, and so what we do is we not only collaborate with the teams across our business and government, but we look at the programs that we have internally, and we set metrics internally as well about hiring and promoting, and so we're really committed to this through the transparency, so answering your question directly, it is not only a goal that we're after, but we are on a clear transaction path to make that happen, and hopefully we can make it happen sooner. >> Yeah, so, many events have some piece at the conference. THey'll have a panel, they'll have breakfast. We actually at theCUBE covered many Women in Tech events. Here at the Veritas Vision, they have it the Women At Vision Empowered, or WAVE Program, which there's a workshop, there's networking, there's some other things, maybe. Walk us through a little bit of it. There was the panel last night. What's the breadth of the experience here at the show? >> The experience yesterday was very much about empowering women in technology. We went through some discussions around not only gender balance, but also how to empower women and support women in your careers. We also talked about women in technology, other groups that we can align to. We also talked about some of the gender balance conversations that you often don't get to have when you're not meeting, and we encourage men to also join us in these WAVE events, but really, it's about professionally and successfully being fulfilled in your career. Within Accenture, we actually created what we call a B operations program to foster, really, this inclusive culture, and I think that the WAVE event is also looking toward fostering this inclusive culture. The people are really at the center of everything that we do, and so having a culture that's really respectful of women, their careers, their personal goals, and the culture that focuses on work-life choices, that's really very important, because those aspirations, we encourage you to become who you really can be. Some of our Accenture operations and B operations goals are focused around being limitless, driving business outcomes, being relevant, being part of others' successes and failures because you learn through growing with success and failure, be caring, and then really be yourself. Be authentic, and bringing that to the WAVE conference and that empowering diversity initiative is really key to the success of that event. We do hope next year that we'll have an opportunity to have the event actually more during the conference so that we can really get more attendants and drive much more passion and invigoration to the event, but we really believe that the opportunity above all is to get the initiative out there, start talking about it, and really make a difference. >> So let's have a conversation about the why. We can all agree it's the right thing to do, but let's have a business case conversation. What's the business benefit of inclusion? >> Well, obviously, we all come from different backgrounds and different walks of life, and bringing those experiences to the business, it's been proven time and again with all of the factors that you can look at that women make different choices, and women can be different types of role models, and in business, you actually are more successful as an organization by having women lead oftentimes in a scenario where sometimes men have been typically the leaders, and so creating more women role models will change the dynamic of the business, and as a diverse culture, you probably watched the Emmys last night. Diversity and inclusion was a hot topic, so we're changing the world as we're going through and changing technology, and this is an area that we can control, and I think that it's time for us to take control and make that difference, and really going after, really going after the fact of the matter is why wouldn't we already be there, right? And if we can make a difference to really be effective, be good communicators, be authentic, be inspiring, why wouldn't we want women bringing that to the table? >> Yeah, we were having a conversation on theCUBE a couple weeks ago, and you bring up the P&L manager, and it was interesting to talk about some of the stereotypes. I wonder if you could comment as a woman. P&L managers tend to be leaders, and somebody did an analysis of performance reviews, and the adjectives for the male leaders tended to be assertive, great leader, and the adjectives for the female leaders tended to be things like abrasive, okay? But both high-performing individuals. As a woman, I mean, I'm sure you've experienced that in your career, and your colleagues have, as well. I wonder if you could comment on that. Are things changing, and where do you want to see it all go? >> Sure. That's a really great topic, and yes, I mean, in the work world you often see if a woman is assertive, she's referred to in a negative tone, and oftentimes you'll find women, the higher power they are in organizations, they're not looked upon as being friendly individuals, and I think that that's a cultural dynamic that goes back to probably maternal instinct, that you're trained to think, oh, well, we don't see empowered women as wildly successful, and that's something that we need to change as a culture. You mentioned you have a daughter, so seeing your daughter in an empowered position is going to be something that you want as a father. And then being able to proactively build upon why we look at males in a position of power as being someone who is assertive, but if the woman says the same thing, she's maybe looked at in a negative connotation, these are the questions we need to start asking, right, and is there a reason for that? There shouldn't be a reason for that. Equally intelligent, equally able to succeed. And so assertive and powerful is that gender balance, and that's really what we should start questioning in business, and it will make us better as large organizations, as individuals, and as fathers in going after what we want our children and the rest of our society to achieve. >> Yeah, and you certainly see some high-profile examples of women in leadership positions. Obviously, Accenture, IBM, Hewlett-Packard, Enterprise, and some others, but you also see on the masthead, if you will, it's like, man, man, man, man, oh, Head of HR, woman, and so a lot of the P&L managers, it's interesting. That's the first time specifically the P&L management. Why the P&L management? Why that emphasis? Maybe you could share with us. >> Well, within Accenture, one of the things that we can do is actually measure the goals that help us advance internally, and so we sponsored the company's most senior women to advance in P&L roles. We've been doing this for the last six years, and approximately 80% of the women in our global executive leadership program have been promoted and significantly expanded their areas of responsibility, and I think that we looked at the goals we could take within Accenture and really make examples of those goals. We also, the commitment to transparency, which I talked about a bit ago, that's really setting and measuring publicly and holding ourselves accountable, right, to those goals and measurable targets that we can grow to. We publish that, and we also challenge other organizations to come out and publish their workforce demographics, and I think before Accenture did that, there wasn't a lot of companies that were maybe as eager to come out and publish that workplace demographic, and so we're looking to make a change. We really want to launch initiatives within our organization that we can control, and ensuring that we can collaborate and create that gender balance in the workforce is key. One other area that I want to talk briefly about is within Accenture Operations, so just in my realm of Accenture. I did mention that we finished our fiscal year 2017 with 45.9% women, really setting the bar across Accenture. One of the things that I want to mention is what we're doing to sponsor and retain women in our local programs within Accenture and their careers, and we focus on staying true to passion, which I talked about with our B operations initiative. We also introduced a flexible work option, which is really focused on our teams in India. They allow the women to fit work and school around their nursery hours, and that's one of the other reasons that you find often women not staying in the workforce is because they make the choice between family and working and the working hours, and then within Accenture, we focus on hosting our International Women's Day, very similar to the WAVE event, and we would be delighted for you guys to join us this year at the upcoming event in March. And then we also sponsor what's called a woman stream, which is internally, to our 400+ thousand employees, at major events, we're able to promote women in cloud, we're able to promote WAVE events, we're able to promote our women in IT initiatives, and on a grassroots level, we'll go out and sponsor programs that are around Girls Who Code and get involved in NPower and other initiatives which bring people into the technical workforce, be it women or men, families, looking at how can we empower and help grow our society including all inclusion and diversity. >> Alicia, how about compensation? I feel like, actually, ironically, one of the best things that happened for women was when Satya Nadella put his foot in his mouth a couple of years ago at the Grace Hopper Conference. Since then, you've seen a much heightened awareness of compensation levels. Many companies have come out and said okay, we're going to, it should be transparent. States' Attorneys General have come out with strong advocates, in some cases laws mandating equal compensation. Maybe you could make some comments there, and what specifically is Accenture doing? >> Accenture is actually looking at the salaries of MDs and down through the food chain. We weigh what the percentage of men are paid versus the percentage of women, highest percentage-earning, and we also do adjustments based on that. I do find it interesting you had mentioned that the comments were made. Yes, that's true, and it's a very common fact that women make $0.49 on the dollar for what a man makes, and I can tell you, I don't believe that I'm only worth $0.49 on the dollar. It's really important for us to bring about these initiatives. You also hear people make excuses that maybe women aren't as good at negotiating, or maybe we don't go out and ask for the same balance, but it makes me say, well, why should women go out and have to ask for the same treatment, equal treatment? So I don't think it comes down to that. We all have to fight for what we want. We all have to go after how successful we want to be, and I think empowering and collaborating and really being authentic in that pursuit is really key, so yeah, good point. >> Well, and I think it's a bit self-fulfilling. Because women have historically been paid less than men, certainly in our industry, their expectations are perhaps lower, so that when they switch a job, if they're offered something lower, they're more apt to take it, and the hiring person says, "Okay, fine, that's good," so the only way out of it is if companies proactively adjust, and understandably, that can't happen overnight because there's economic realities, but it can and it feels like it's beginning to happen, slowly, maybe not as fast as you'd like. >> Yeah, and I would love to see women and girls getting more involved in tech. I watched a bit of a program last evening, actually, that referred to around in 4th grade, we start giving boys toys to work with and we start giving girls dolls to play with and different things like that. We can change that. Starting from the basic skills that you aspire for your children, you can start on paradigm, you can start with teaching others about technology. Women might always say it's not super sexy to be a technical architect, but I might disagree, with my background as a CIO. So I think it's really talking about the inclusion culture, getting more people interested in it from the beginning, and bringing more women with the opportunity to really fulfill that gender equality, and whether we promote them, within Accenture, you had asked me about the P&L case, that's something we can control as an organization, so each organization I would challenge to look at the ways that you can balance gender equality, and within Veritas, obviously, there's a very strong WAVE program that's being driven and Accenture's delighted to partner with and support, and that's a commitment to being a champion for change. >> Well, congratulations on being a champion for change and all the progress you're making at Accenture. Very impressive story, so thanks for coming on theCUBE and sharing it. >> Thank you very much. I'm delighted to be here today, and thank you for allowing me the opportunity to speak with you gentlemen. >> It's our pleasure. All right, keep it right there, everybody. Stu and I will be back with our next guest. It's theCUBE. We're live from Veritas Vision 2017. We'll be right back. (intelligent electronic theme)