>> 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