>> live from Las Vegas. It's the queue covering Inform Attica! World 2019. Brought to you by in from Attica. >> Welcome back, everyone to the cubes. Coverage of Infra Matic. A world here in Las Vegas. I'm your host, Rebecca Knight. I'm doing by two guests. For the segment we have Rick Tam Daniels. He is the VP. Strategic ecosystems and technology than from Attica. Welcome, Rick and Yoav. Enough! He is the VP product for Giga Space. Welcome >> to be here. >> So this is a fun segment. You are the winner of the infirm Attica World 2,019 Solution Expo Cloud and Innovation. I want to get to you in a second and hear all about Giga Space. But I want to start with you. Rick, talk a little bit about this award and about the genesis of it. Where did the idea come from? >> Yes, So one of the things we really wanted to do it in from Attica World this year is create address Some of the most important topics that the customers want to hear about. It's a cloud and I two of the hottest tops the industry every wants to know about it and We wanted to take a lot of our emerging partners there doing some very innovative things than from Attica technology and put them front center. So if you look at the Expo Hall floor right in the middle, we have this almost like an art gallery of all this cool innovation have going on around the inn from Attica. Technology on the idea was that we had attendees come in and actually review the solutions. They had to be really full demos for working demos. Andi could vote on the app. They could say what their favorites were, and the end result is happy announced. Giga Spaces are big winner. >> And so yeah, attendees would vote on the app and so get so big a space. Tell us about it. You're based in Israel. >> Yeah, so aren't is based in Israel or H Q is in New York. Basically, the biggest bass was we've been in the market for more than a decade, deployed like in the largest enterprise in the world. You like banks like Bank of America, like international. I ot like another electric largest airline, largest railway companies, and basically we provide the speed for the application and big data infer structures so they deploy, like real time use cases like fraud detection, economic pricing, predictive maintenance, all those different types of services that required the speed on the big data side. >> You're all about speed, >> all about spirit. If you need the speed, we're the provided for you. >> Well, that's that's very exciting. So talk a little bit about the conversations that you were having with some of the attendees. What kinds of questions were you getting? >> So I think a lot of customers, during customers of ours and informative are talking about the move from kind of historical analysis to more proactive, event driven analytics when you want to be able to instead of interact with the data you want today, one so and now you want to baby toe Dr Analytical on the moment as soon as it happened to provide it that burrito Theron your online processes and instead of kind of offline processes. So, for example, fraud detection, which is the most, is the example. You want to be able to 100 further analysis on on the payment of a soon as it happens and Emilie second level and not like a few seconds after the transaction was over. So it's again. We're talking about the speed. They're very to handle high or amount of data with related sub second response time. >> And how are you using in from Attica? >> Cool So well, We've been working lately with Informatica very tightly with both their product team, and there are in the team because Israel, India, the US, on integrating with some of their different products were basically we've built kind of what Gardner calls the digital integration hub. It's like the next Jan big data architecture, which provides you both. Informatica side that allows to ingest any type of data could be taxed logs, transaction payments, anything you have together with their medal, the meta data management and on top of it, using Giga spaces for the real Time analytics and the high performance in speed. >> So, Rick, I know that this was attendee chosen, so there's no rigging here, but I'd love to hear what your thoughts are in Giga Space in terms of the innovations that they're doing in these in these very important problems, like fraud detection and predictive maintenance, these air these air big problems. That company's heir really wrestling with. >> And I think what's exciting about the solution they had. It was a great business case, right? I think that really resonated. Attendees looking at Everyone can identify with Fraud Analytics. Everyone's unfortunately, probably on a victim of it, so they could see how it works. I think it also focuses on the aspect of a iva. How do operationalized a I? So is the whole model building piece of it, And Infra Matic has a strong player there as well. But now you say, Well, let's actually have the model we need to execute quickly. How do we do that? You know what the biggest spaces technology, but also combine it with the right historical context, right to make the right decisions. So they're really does hit on. How do you actually take a I and make it a real thing? >> And the other important part is the business case in what you were just saying in terms of if a if a customer is the victim of fraud here, she blames the institution, not the hacker on. And if there's a problem with with an airline maintenance problem, you blame the airline. Of course not the faulty problems that it was having. So so I think that that also really shows what what's in the future. What are you seeing? Kind of Mohr innovations that you want to add to the biggest space platform. So >> I think we're working to their lot about like Rick was mentioning about operationalize ing A. I so a lot of challenge today off moving from the research development training part of Day I or the machine anymore to move to production. Let's say you're a payment provider you have the more than you can detect fraud, but your ability for you to run it on millions of transactions a second in a sub lets a few millisecond level. That's the biggest challenge. And if you do it in there a few seconds after the transaction was over, then the you know the last of the fraud or the wire was already happened. So again, the operation was part of taking your more than formula that sound flat from putting in production with the scale of the ingestion rate low latest c you know, scaling on pick events like Black Friday or Cyber Monday. That's the biggest challenges on the production systems. >> Now the speed is of the essence. Rick, this has been a successful experiment trying this. What are you hearing from attendees? Did they like it where they sort of How do we Dad? Does this work? What is this about? >> I think they're really enjoyed it. Every time I look, I went over to the zone. It was full of people having deep conversations, really getting into the technology and understanding. Because as I mentioned these air topics that I think everyone came here to the show to really learn more about How are they going to get where they're going There, Cloud journey where they're going to go in there, eh? I journey. It's a great feedback from attendees. Lot of active participation. So I'm going >> to do it. We're going to see it in >> your batter. It's gonna be great. >> So now that you're the winner, you're going to be up there on the main stage, getting some recognition. That's exciting. What? What are you going to take back? Teo, I know you're based in both Israel and New York. What? What? What does this mean for your company? >> So I think the next step is taking it to the business side. Right? We want to make sure that the joint offering and the joy in partnership moves to the next stage taking it to the next customer. We have some joint customer. We have some new prospect. Were a lot of late from the show here, sitting next to me, sitting side by side with the other partners of Info Matic. I like data breaks and slow flaked and clothes are so we have a lot of joint offering and solving real time like business and off the largest, most challenging enterprise we have, like, you know, largest banks, largest airlines, largest like railways companies. So I think the next step is moving, taking it from the exhibition to the field. >> Great. Well, this is terrific. Congratulations. Once again. Really exciting. Really happy for you. Thanks so much for coming on the show. Thank you. You have been watching the cubes live coverage of in from Attica, World 2019. I'm Rebecca night. Stay tuned

>> live from Las Vegas. It's the queue covering Inform Attica, World 2019. Brought to you by in from Attica. >> Welcome back, everyone to the cubes. Live coverage of infra Matic A world. I am your host, Rebecca Night, along with my co host, John Furrier. We are joined by sir Rushman, and he is the senior vice president and general manager. Master Data Management here it in from Attica. Thank you so much for coming on the show. >> Thank you. It's great to be back. >> Great to welcome a Cube alum. So a major theme of this conference is customer 3 60 It's about customers need for trusted accurate data as they embark on their own digital transformation initiatives. Can you just talk a little bit about what you're hearing, what you're hearing from customers, what their priorities are? >> Yeah, absolutely. You know, with MGM, the promise of MGM has always been creating a trusted, authoritative version ofthe any business critical entity on DH who are the most important business critical entities for any organization customers. So almost 80 to 90% off. You know, if our customers are talking about re inventing a new customer experience because some >> of the >> things that they've been telling us is that we've all learned, you know, in the past that bad customer experience means that, you know, we've all had those experiences. We goto hotel, we use a particular airline, we have bad experience and we say, Promise ourselves we'll never go back there again. So organizations have always for years now understood that there is a cost to not delivering a good enough customer experience. The big change that I'm hearing, at least over the last you know, you're also now and especially at this event, is that organizations have now been able to quantify what great customer experience can mean in terms ofthe a premium that they can charge for that products or services. Now that is a big shift. When you start thinking about saying if I'd deliver a better customer experience, I'm actually be able to charge 10 cents more for a cup of coffee. I can charge, you know, 20% more for an airline ticket that now has a direct impact on the top line >> and data drives. This obviously data's a key part of it. What's changed this last year, I mean a lot happened. We see on the regular tourist my one year anniversary of GDP are a lot of pressure around regulation. We see everyone sees Facebook and goes, Oh my God, maybe I don't want to follow that trap. Woman Enterprise pressure to develop sass like applications with data because we know what cloud native and born the Cloud looks like. We've seen companies come out of the woodwork from his fresh start and used data as part of the input with a IE application for great software. So now the enterprise I want to do that exactly. It's hard, >> it's hard. And I think you know, they're in a lot of organizations minds, you know, collective minds. This is cushion pulled because in order to deliver that best possible customer experience, they realize they need to gather more data about us, right? Every in every touch, point, every interaction. If you can gain that complete 3 60 view, it just means that you'd be able to deliver better possible experience. But now you're gathering more data about customers into your example about Facebook. Now means that we in our custodians off what was you know, an explosion of data than what we used to have before. And if you're moving those to the cloud, how do I make sure that I don't end up, you know, in the front page of The Wall Street Journal? You know, like some of the other organizations have. So there is great, you know, volumes of data being collected. But how do I manage it? Secure it government effectively so that we don't have those? >> Don't ask a question. I have been talking a lot about fake news and Facebook lately because, you know, we're digital Cuba's official distribution. 10 years been doing it, putting out good payload with content. Great gets like yourself. But this really kind of too things. That's where I want to get your reaction to. There's the content payload. And then there's the infrastructure dynamics of network effect. So Facebook is an example where there was no regulation, I'll say they were incentive to actually get more data from the users, but she got content or data and then you got infrastructure kind of like dynamics. You guys are looking at an end to end. You got on premises to cloud that's it structure, and that's going to be powering the aye Aye, And the SAS data becomes the payload, right? So what? You're a zoo, a product management executive and someone thinking about the customer and talking to customers. How do you view that? What's the customers formula for success to take advantage of the best use of the content or data and digital while maximizing the opportunities around these new kinds of infrastructure scale and technology? >> Yeah, I think you know, they've come to the realization that data is not entirely sitting on premise animal, you know, in the in the in the old World, to get customer data, you go 23 applications of CR m nd R B and some kind of, you know, a couple of homegrown applications in on premise now for the same functionality. But that's wise of customer customer experience applications that whatever you call it, there's an app for it. And it happened to reside in the clouds. So now you have about 1,100 on average cloud applications that store components. So where do you where do you start bringing all of that content together? A lot of organizations have realized that, you know, do it in the cloud for two reasons because that's where the bulk of this data is being generated. That's where the bulk of this data is being consumed. But the other aspect of it is we're not no longer talking about hundreds of millions of records, but I just thought bringing in transaction data interaction later don't know billions of records, And where else can you scale with that? Much is other than the club s O. But at the same time, that is, there is a hybrid that is extremely important because those applications are sitting on premise are not going away. You know, they still serve up a lot of valuable customer data and continue to be frontline operation systems for a lot of the user. So a truly hybrid approach is being developed. I think that thought process is coming around where some domains live in the clouds. Some domains live on premise, but it's seamless experience across book. >> That's great insight I wanted Then follow up and ask you Okay, how did in from Attica fitted that because you guys want to provide that kind of horrors? Office scaleable data layer, depending on where the customer's needs are at any given time you got a pea Eye's out. There's things that Where do you guys How do you make that a reality? That statement you just made? >> Yeah. And the reality is eyes already being, you know, being lived today with a few of the few of our customers on it is that data layer that says, you know, we can, you know, bring data run work loads that are behind the firewall. We can do the same work, load in the cloud if that's where you want to scale the new workloads, but at the same time have a data layer that looks like one seamless bridge between the cloud and on premise. And that a number of different experiences that can, you know, help that we've invested in cloud, you know, designing and monitoring capabilities that allow view for a completely cloud like experience. But all of the data still decides on premise. It's still being managed and behind your firewalls, which is where a lot of the organizations are going as well, especially more conservative, more regulated organisations. >> One of things. I want to get your reaction to a swell, great great commentary, By the way, Great Insight is some success examples that might not be directly the inn from Attica, but kind of point to some of the patterns. Let's take slack, for instance, Great software. It's basically an IRC measures chat room with on the Web with great user experience. But the adoption really kicked in when they built integration points into other systems. So this seems to be a fundamental piece of informatics. Opportunity is, you kind of do this layer, but also integrating it. Because although you might have monitoring, I might want to use a better monitoring system. So So you're now thinking about immigration. How do you respond to that? What are you guys doing? Respected. Integration? What's What's the product touchpoints can He shared a commentary >> on Yeah, So you know, the openness off our entire data architecture and all of the solutions is something that we you know, I think they use the word Switzerland quite often. But what it also means is that you know, you are able to plug in a best of breed execution engine for a particular workload on a particular platform if you so desire. If you want to plug in a you know I am a model that happened to be developed on a specific let's say, an azure or a W You'd be ableto bring that in because the architecture's open completely FBI driven as a zoo mentioned. So we're able tto. Our customers have the flexibility to plug in, and we try to make that a little easier for them also, you know, as you might have seen some of the demos yesterday, we are providing recommendations and saying, You know, for this particular segment of your work, Lord, here are the choices that we recommend to you. And that's where Claire Gia, you know, comes in because it's very hard for users to keep up with all of the different possibilities. You know, our options that they might be having in that particular day, the landscape, and we can provide those recommendations to them. >> I want to ask about something you were saying earlier, and this is the company's heir using data to realize that they can charge a premium for a better customer experience. And that really requires a change in mindset from a gut driven decision making to a data driven decision making method and approach. How how are you seeing this? This mindset shift is it? Our company is still having a hard time sort of giving up my guts, telling me to do this in particular, with relationship to the new thie acquisition you made in February of all site. >> Yes. You know, I think the good news is, you know, across the board line of business leaders, CEOs, even boards are now recognizing custom experience. Customer engagement happened to be top of mind, but there's also equally react. You know, a recognition that data is what is going to help, you know, make this a reality. But so that was one of the reasons why you went out and, you know, do this acquisitions also, because if you think about it, customer data is no longer just a handful of slowly changing attributes like a name and address and telephone number or social media handles that, you know, you could be used to contact us. But it's really about now. Thousands of interactions we might have on the websites Click stream data Web chat, you know, even calls into call centers. All of this and even what we're tweeting about a product or service online is all the interactions and touch points that need to be pulled in and the dogs have to be connected in order. Bill that customer profile. So we have to do the scale, and that's something that Alcide, you know, has been doing very well. But it's now become more about just connecting the dots. So we can say, Here is this customer and this is the all the different Touchpoints customers had all the different products of purchase from us over the last few months. Few years. But now can we derive some inside some intelligence? So if I'm connecting four pieces of information cannot in for a life event, can I detect that an insurance customers ready to retire? Can I detect that this family is actually shopping for a vacation to Hawaii? That's the first level off Dr Intelligence Insight that we can now offer with. Also, the next level is also about saying >> cannot be >> understanding. You know, some of these, you know, intent. Can we also understand how happy is this customer, you know, have been mentioning competitive product, which can allow us to infer that person probably going to go off and buy a competitors product. If this problem they're having with this device or product is not resolved, so turn scoring, sentiment scoring. And now the third level on top of that which I think is really the game changer, is now. Can we in for what the next best action or interaction should be based upon all these things? Can we even do things such as, as I left here, not too happy customer with a particular maybe laptop that I, you know, perches I called the call center can before as a call is coming through, can we in for what I'm calling about based upon all of the interactions have had over the recent past and direct that call to 11 to 11 3 Technician who specialized in the laptop model >> that I have >> in orderto make me continue to be a customer for life. >> One of the biggest challenge is happening in the in the technology industry is the skills gap. I want to hear your thoughts on it and also how they help my how concerned are you about finding qualified candidates for your roles? >> So, you know, I think being a globally, you know, global organization with R and D centers distributed around the world. I think one of the luxuries we have is we're able to look across not just, you know, way from Silicon Valley, you know? And you know, there is a definitely a huge competition for skills over there. I think one of the things that we've been able to do is locations like Toronto we were just talking about. That's where Alcide is based. Extremely cool technology that's come out, that that's, you know, really transforming organisations and their approach. The customers stood guard, doubling bangle or Chennai Hyderabad. So you know, we are tapping into centers that have lots of skilled, you know, folks on DH calling hedging our you know, our approach and looking at this globally. Yes, there's definitely going to be even more of a demand as a lot of technology changes go for these skills. But I think, you know, by spreading you know that skills and having complete developed R and D centers in each of those locations helps us mitigate the farm. >> What about kids in school, elementary school, high school, college or even people retraining? Is there a certain discipline? Stats, philosophy, ethics will you see data opportunities for folks that may or may not have been obvious or even in place. I mean, Berkeley just had their first graduating class of data science this year. I mean, that's that's so early. People wanna hone in. What's what do you see? Its success for people attaining certain certain skills. What do you recommend? >> So I think that is definitely a combination ofthe technical skills, whether it is the new a n M L applications. But I think that is also, you know, in the past, we would have said, Let's go on higher than someone who has done computer science You know, on is very deep in that topic. But look at the problems we're trying to solve with data on the application of the animal. They're all in service of a business outcome, some kind of a business on DH more, we find people who are able to bridge the gap between strong application off the newer technologies on a animal and also an understanding off the broader world. And the business, I think, is really the combination of skills is really what's going to be required to succeed. >> Excellent, great note to end on. Thank you so much, sir. Arrest for coming on the show. >> Thank you. Thanks. >> I'm Rebecca Knight for John Furrier. You are watching the Cube.

>>live from Las Vegas. It's the Cube covering. Inform Attica World 2018 Not you. Buy. Inform Attica. >>Welcome back and run. Live here in Las Vegas at the Venetian Cubes coverage of In From Attica, World 2018. I'm John for the coast to queue with by host the next two days. Peter Barrister, head of research for Wicked Bonds with an Angle and the Cube. Our next two guests from Deloitte. Leo Cabrera, who's senior manager. And Rajeev Krishna, who's the specialist leader on the engineering side. CDO side guys, Thanks for joining us. Thank you, John. Thank you, Lloyd. The leader in a lot of areas, absolutely doing a lot of cutting edge stuff from c'mon, the Blockchain crypto side tax side also in the I t side. You guys have been in a great top customers here in data in from Atticus, leading the charge, looking good with the trends. But the cloud is here. Cloud scale ecosystems developing. How do you guys see in from Attica? Evolving. Going forward, Mostly great messaging. But they still got customers out there that have sold stuff. They want to bring in cloud native new data. What's what's the prospects were in from Attica. >>Foreign Formica, Saudi lawyer. We have this nuanced article data advantage and basically would consider the inflection point between what we call in just 3.0, industry for point. And it's basically now we want to get value out of the data and our data advantage strategy Focus on three pillars. They have engineering wilderness and enable men for as Informatica Isa great component and a great supporter in each of these areas. Right, So, through these study we offer video service is we offer data governance. Studio chief did offer sheet state all of it. Yeah, on. And we partner with Informatica to profile the data to understand what will be the points in which we can find value over the data on off course with the new enterprise catalog to tool to do better governance for our clients. >>I want to get under the hood. I see the catalog is getting a lot of great reviews. Some people think that this is the next big wave in data management, similar to what we've seen in other ways like well, what? Relational databases and every way that comes on cap this catalogue New kind of catalogs emerging. What's your view on this? Is it away? Visit like recycled catalog, is it? >>So get a cataloguing and data. Curation has bean going on for decades, right? But it's never gained traction on, and it's never given Klein's the value because it was so manual takes tons of effort to get it right, right. So what inform Attica is done, which is absolute breakthrough? This embed a i into their enterprise data can log into which kind of accelerates the whole data. Cataloging on basically gives them gives climbs. The value in terms of cutting down on there are packed in terms of how many people, how many data students you need to put together >>So they modernize that. Basically, they exactly all the manual stuff put automation around and put some software to find around at machine learning. Is that kind of the secret to their success? >>Absolutely. And Down Delight has been partnering with Informatica for quite a while. In fact, we are one of the few companies that have a seat on the product advice report s o what we see from the marketplace we cannot feed into in from Attica to say, Hey, here's what you need to build into your products, right? So we be doing that with their MDM solution. For example, we have what we have. Articles indium, elevate. So we build machine learning into their MP and platform and offer. That's a solution similarly, and for America has built the clear platform into their E. D. C s. Oh, that's absolutely driving Valley for clients. And we have a lot of clients that are already leveraging >>a lot of risk and platforms tools, right? I see a lot of data stuff out there that's like like a feature, not a platform, that these guys got a platform, right? So But now the world's changing the cloud. How do you guys take that data advantage program or go to a CDO and saying, Look, you gotta think differently around the data, protect you explain your view on that. >>For us, data is now the center of everything, right? So any business who want to remain competitive in the future needs to get into entire end twin management of the data, getting the value of off data and also understanding what is the data coming from and what is the day they're going to write off course is studded with all the regulations. And now GDP are coming on Friday. It is a big, you know, pusher for companies to realize that over. If >>you have a big party on Friday, a big party or is this what you Katie was a big part. Nothing happened. So you're never mean GDP. Are you guys have a lot going on there? I mean, this is the center of the conversation. >>Yeah. I mean, we do have a lot of clients who need to be compliant on GDP are on informatica is one of the tools that have already pre established the policies, so you can quickly determine where is the data that GPR is gonna be monitoring and looking for compliance on So rather than doing it from a scratch, right? So it takes a lot of it >>for Let's build on this a little bit. So when we talk about different as John was saying, different generations of data management technology, we're coming out of a generation was focused on extract, transform and load where every single application or every single new analytics application wasn't you identify the source is uniquely you build extractions unique. You'd build transformations, you build load scripts. Uniquely all that stuff was done uniquely. Now what we're saying is catalog allows us to think to move into a re use world. We've been reusing code fragments and gets and all these other things for years. In many respects, what we're talking about is the ability to bring a reuse orientation inside the enterprise to data. Have I got that right? You got it >>right. Two minutes. But the most important parties how to get value out of that, right? Because they did >>manage to get value out of using >>it more exactly And understanding, You know, how can improve your operations or you know, the bottom line, or reduce the risk that you have in your data, which is basically CPR is about, >>and one other Salin point is on very scene for America bringing values their completeness of mission. Right. So when you talk about gdp are you need different aspects, right? You need your data integration. Whether it be through cloud around. Promise you need get a governor on top of what you're cataloging, right? You need security data security. Right? So it all comes together in the hole in dramatic solutions. And I think that's very see value is supposed to like pocket pockets >>of guys. I gotta ask you a question. We've seen many ways. I think it's a big way this whole date away. But you guys, you have a term called industry four point. Oh, is what is industry but the Deloitte term. But what is that? What is industry four point? Oh, me. Can you define that? >>You wanna take that door? >>Yeah, sure. So we've seen, you know, revolutions in terms off technology and data on. We've seen people going from kind of the industrial revolution to the dark. Amira, What? Three terms in the street? Four point off where data is annoying, right? So data is an acid that needs to be completely leverage. Not just you look a reactively and retrospectively like How did we do? Right? And not even just for predictive analytics. We've seen that for a few years now. It's also about using data to drive. This is value, right? So are there new ways to monetize data? Are there new ways to leverage data and grow your business? Right? So that's what Industry four. No, no is about. >>That's awesome. Well, we got a lot of things going on here. Thanks for coming on. The Cube had a couple of questions. Got a lot of dishes going on. That preparing for the big opening of the Solutions Expo Hall. We're in the middle of all the action. You're out in the open, accused. What we do. We go out in the open final question, eyes around the CDO. Who should the chief date officer report to the C I O board? What >>do you >>guys seeing? Because the CDO now picking a strategic role if Davis the new oil. That data is the fourth wave of innovation that we've seen over centuries. What does that mean? For the chief Data Officer? More power? Why'd you report to the C i o? Why is the CEO reported the Chief Data officer? What's your take? >>Traditionally our clients in the past, where the mandate for the studios were more in the data governess, right? As of today, it is going more into enablement the data, right? So more than Analytics case. Still, service is so well seen clients going from the studio moving from under the CEO in tow, the CEO and into the CMO in some cases, more about marketing. However, at the lawyer, our proposition is that companies should do a big shift and funded the new data function as a totally new vertical next to H. R next to finance right, which have his own funding and the CDO being the leader of that function, reporting directly to the CEO or >>enablement side CEO handling much of three things engineering, governance and enablement correct. So the CEO will handle Engineering Dept. Which not just its engineering, full stack developers, possibly our cloud native developers. Governance could come into policy, normal stuff. We've seen enablement more tooling, democratization of things. >>Yeah, yeah, >>yeah. I mean, what we've been seeing right in the real world, Liss, you have, for example, finance transformation that CIA full heads, right? So there's a lot of traction at that point to kind of bring the company together. But then that soon fizzles out. Sometimes you have, ah, the CMO bringing on and marketing campaign and, you know, analytics initiative, right? There's a lot of traction. Then it fizzes out. So you need somebody at the chief data officer of the C suite level to maintain that traction that moment, Um, in order freed value. >>But it seems the key issue is someone who is focused on data as an asset generating competitive returns on data as an asset because and the reason why it could be the CEO, it could be somebody else. Historically, an i t. The asset was the hardware on the argument here is that the asset is no longer the hardware now the data data. So whoever whatever you call it, someone and a group who's focused on generating returns out of data, >>Yes. But it has to have that executive level and that new talent mortal that we're proposing right where everybody knows a little bit of data in a sense. >>And the other thing is that I mean, think about this role that's dedicated to creating value of data, right? So you can understand you know how you create value in one function. Take it to the other function and tell them Hey, here's have helped finance right, get more value and then use the same thing marketing our sales. So it's also the cross pollination of ideas across different functions in an organization. S O n roll like that is helpful in terms of >>just to say, the data could very well become the next shared service's organization. That's because you don't want your salespeople to be great with data and your marketing people to be lousy with data. >>Correct. You're totally right on that. That's what we're proposing, right? So data being another vertical in entire business, >>the Lloyd bring all the action here on the Q. With all the data they're sharing here to you. It's the Cuban John for With Peter Burst, more live cover. Stay with us. We're here in Las Vegas. Live for in from Attica, World 2018 day. One of two days of wall to wall comes here out in the open. Bringing you all the data is Thank you. Stay with us.

>>live from San Francisco. It's the Q covering in dramatic. A World 2017 brought to you by Inform Attica. Welcome >>back, everyone. We live here in San Francisco at the Mosconi West with In From Attica. World 2017. This is Cubes Exclusive coverage. I'm John Furry with the Cube and Peter Barris with vicky bond dot com General manager we have on research. Our next guest is Tracy Ring, specialist leader at Deloitte Consulting in the trenches. Put it all together. Welcome to the Cube. Thanks for joining us today. Appreciate it. >>Thank you for having me. I'm excited to be here. >>So your specialist, But in the system global system, integrated world, that means you basically globally look at the solutions. And And what's interesting is why I'm excited. Conversation with you is that, you know, point solutions can come and go. But now we're in this compose herbal world of cloud data, etcetera, where ah, holistic view has to be looked at. So what? I want to get your thoughts on in from Attica and what you guys are doing because we've heard it's the heartbeat. But yet there's also a hygiene issue. So you got this heart surgeon and the hygienist, and you have all kinds of specialty rolls of and data. It's pretty broad, but yet supercritical. How do you look at the holistic big picture? >>Absolutely. I mean, we're seeing the view of ecosystems being so much more important. Were so Maney technology disruptors. I mean, three years ago, we weren't even hearing about Kafka, and Duke was really new, and and so I think demystifying, simplifying, helping customers understand the art of the possible what can be done? What are leading practice organizations doing and then really making it real? How do you so this complex story together, how do you best leverage and get your investment out of technologies like in from Attica in their complimentary tools >>is interesting. IBM has Watson in from Attica. Has Claire ASAP has Leonardo s A P has Einstein. >>It would be >>great to get them all together >>and have dinner, right? So I mean, but this speaks >>well, You got Alexa and Amazon and Google. I mean, this is an interface issues you're talking about. Ah, cognitive. A real time new user interface and machine interface into data that is completely out of the possible. It's what's happening in the world is changing. Developers is changing. Practitioners, architects. Everyone's impacted your reaction to all this. >>You know, I think it's probably the most exciting time that we've seen in so long, and I think you so well articulated all of the players that air there. I think when you add in I, O. T. And Device Management, you know it's really an exciting time. And I think it's really driving some amazing things with regard to how organizations are literally transforming themselves. And in both our clients as well as the ecosystem of technologies, companies air are literally shifting their entire business model. It's it's very exciting. >>So one of the things that the typified system integrator types behavior like to elect a lawyer big consulting firm was big application. Let's deploy the big application for accounting for finance for HR whatever. Also culminating in New York, which was the Grand pa of everything. Right now we're talking about analytics where we have to focus on the outcome's not just a big package for a function, but really a complex, ideally strategic differentiating outcome. Yeah, typically using a whole bunch of smaller tools that have to be bought together similar. What John was talking about as a specialist who looks at these tools take us through kind of a new thought process, outcome, capability to tool in the entire journey to get there. >>Absolutely. I think one of the things that delight does that is really, really unique is having conversations that start with art of the possible, what could be done? What are leading practice organizations doing Help me set a strategy? Yeah, and I think the real answer is there's less about sort of benchmarking what everyone else is doing and more about >>really, You got it, You got >>it. It's really about revolutionizing, you know, and and going into a new angle of what is truly, truly possible. And I think, ah, lot of the things that were sort of table stakes and in the way that we would look at success totally turned on its head. And we're looking at organizations monetizing their data and, you know, creating new business ventures because of the insights that they're deriving and a lot of times will use. Delight has an insight studio and a greenhouse, and a couple of really highly collaborative spaces that we take clients to. Ah, well, you know, plan 123 day workshops, depending on how difficult of problem they're trying to solve and help them charter road map. And take that road map, which is in many cases, business oriented business results driven and help them so in and layer in the technologies that are gonna make that reality possible. What's >>the opportunities for cognitive? I mean, you guys talk a lot of Deloitte about a Friday different things, but specifically there's some key opportunity around. Call the cognitive or you guys call the cognitive. IBM also used that word cognition, but really a I artificial augmented intelligence are signs of a new kind of opportunity landscape. Whether you see for customer opportunities out there, >>absolutely, we talk a lot about what we consider the inside driven advantage. And that's really about using all of the tools in the toolkit to make that insight driven, data driven, better decisions around what organizations conduce. Oh, and kind of. It is a huge component of that, you know, it's we've been hearing stories for years about companies sort of predicting the next best offer and you know, we're seeing this move so much further, removing into robotics process automation. You know, the space is getting, I think, even more complex. But I think what's interesting is when we talk to organizations about, you know, they're not hiring tons of people to go out and do data integration through wonderful organizations. Confirm Attica. That's really been solved. So companies were able to both take their technical resource is and shift them into solving Maur difficult problems, hairier technology opportunities and use that to help shape their business. >>That's like compose abilities. So in dramatic, a world's got a set of solutions and technologies. Some sass ified someone fram. But here it is. But you're deluded you. That's just one element to your mix of things composed for clients. You mention those three years opportunities. Digital transformation is kind of the categorical wave >>Iran, but the end of >>the day it's business transformation. You mentioned changing the business model. >>How do >>customers take advantage of those business opportunities in whether it's robotics or industrial i ot or insights and analytics? What What is the customer impact and how did they get those business benefits? >>Yeah, I mean, I think again like I said, a lot of times it starts with, you know, what is their goal? What do they want to be known for in the marketplace and that value branding of Of what is it that they see themselves differentiating amongst their competitors and using a pretty solid process and rigorous approach to that strategy? Tea set? You know, what are the pillars to achieve? That is, I think, a big piece of it. I think the other component is we see a lot of organizations sort of challenging themselves to do more. And we'll have organizations say I believe that I can doom or what? What could I do? And I think that's interesting that >>we'll just fall upon that because Pete and I were talking earlier before we came on about what gets customers excited when the iPad came out. That was the first kind of visual of >>I gotta have my analytics on the dashboard. Let's start. I >>call the dashboard wave now with bots and aye aye. You're seeing another reaction. >>Yeah, I gotta have that. Automated. Do you see it the same way? And how does that >>translate to the custom when they see these this eye candy and the visualization stuff. How does that impact your world and the impact of the customer? Your customer? >>Absolutely. I mean, we used to live in a world where if I needed to have my data extracted, I would, you know, submit a request. And it was this very long, lengthy process. And, you know, when you think about the robotic single and and process automation, you know, automated data pools are are there. And I think the interesting part is is that it's not about just cost out of i t. It's not about, you know, getting off of on premise hardware. It's about driving better customer satisfaction, driving better business outcomes. You know, the implications. I think whether you're in life sciences or you're in retail, you can touch your customer in a way that is. You know what I would say? Sort of delighting them versus just giving them what they asked for. >>So I wanna I wanna test of theory on you and see how live and see how this seals lines up with thinking and where you see your customers going. So we have this notion that wicked bond, our research of what we call systems of agency. And by that we mean effectively that historically we did we create systems that recorded action big t p e r p. More recently, as you said, we're now creating systems that suggest action predictive analytics, those types of things. And now we're moving in the world were actually going to have systems that take action. Yeah, where authority and data have to move together so that the system is acting as an agent on behalf of the brand now in from Attica has done some really interesting things here with some of their new tooling, some of the metadata tooling to ensure that that type of meeting can move with the data. So if you think about where Deloitte and customers are going, are they starting to move into this new realm where we're building systems, take action on behalf of the brand and what does that mean for the types of tooling? But we're gonna have to find for customers so they can make it, you >>know? I mean, this morning we were delighted to hear the latest announcement around how metadata is really such a core component, and and I think of it is metadata is in many cases where most organizations do see the monetization of their data payoff. Right? We're not only do I have highest golden record like we talked about 10 years ago, I have data lineage. I have data traceability. I have the whole entire story. So it's really much more cost justified. Uh, you know, hearing the announcement today of Claire, and you know how we now have the Aye Aye of our clairvoyance is really exciting. And, you know, I I don't know that we're completely there. And I think we'll continue to innovate as in from Attica. Always does. But we certainly are a whole lot closer. And I would say, you know, your concept is you know, certainly we're all going to the park for >>good. My final question. Let's get your thoughts on because you have a global perspective. You work with the ecosystem partners. You heard all the stories. You've heard all the raps and all the Kool Aid injectors from the different suppliers. But there's two things going on that that's interesting. One is we're kind of going back to the end to end solution. Absolutely. I'm seeing five g with Intel Smart cities I ot So everyone wants to get back to that end to an accountability with data and packets moving. All that could step with applications over the top. But yet there's not one single vendor owning it, so it's kind of a multi vendor world, yet it's gotta be in tow end and bulletproof secure. I mean, >>that's your world. It's not derailed. I mean, you got to be busy, your reaction to that. And what's that? What's that >>mean to the industry? And how should customers? I'd look at that Say okay, Want to get some stability? I want great SL ways, but I want a flexibility for compose ability I want and empower my app developers Dr Top Line Revenue. This is the Holy Grail. We're kind of in the wheelhouse right now. >>Yeah, 100%. I think it's a very exciting time and the like, I said, the fabric of what organizations need to sew together two really achieve their analytic insights and, uh, you know, leveraging their data. I think data is just becoming more and more important, and it's a phenomenal place toe to be in both for where I sit on the consulting side helping all of our customers and certainly where globally we're seeing our client's going >>and your and your message to the client is what we got your back on. This >>has to look, that's what you guys do. You sew it together. It's got to be more than that. It's got ideas for you could see. I think it's a >>lot. I think it's that it's not just about bolting in a technology or 10 technologies. It's about solving the most difficulty technology problems with, you know, with data helping. >>You gotta be savvy to, as they say in the swim lanes of the different firms and got to bring your expertise to the table with some of your own tech. >>Absolutely. And and I think for us we never sort of a ra missed that there is a huge business, and if you if you don't take the business aspect of it, what business problem are we solving? What value are regenerating? How are we ultimately impacting our customers customers, you know? Then you know you're sort of missing the what we consider the most important piece of the pie. >>Tracey Ring with the Lloyd. Great to have you on. Thanks for your insight. Very insightful. That all the data's right there. We're gonna make sense of it here in the Cube. Thanks for sharing, Dee Lloyd. Really put it all together. Composing the future Cloud Data Mobile. It's all here. Social is the que bringing all the live action from San Francisco. I'm John for Peter Burst more after this short break.