Announcer: Live from Las Vegas It's the Cube. Covering IBM Think 2018, brought to you by IBM. >> Hello everyone, I'm John Furrier. We are here in the Cube at IBM Think 2018. Great conversations here in the Mandalay Bay in Las Vegas for IMB Think, which is six shows wrapped into one, all combined into a big tent event.
Good call by IBM, great branding. Our next guest is Rob Thomas. Cube alumni, general manager of IBM Analytics. Great to see you. >> John, great to see you https://casinoslots.sg/online-casino-bonuses. Thanks for being here. >> We love having you on, Cube alumni many times. I mean, you've seen the journey. I can remember when I talked to you, it was almost five, four or five years ago. Data, Hadoop, big data analytics, data lakes evolved significantly now where Jenny's major keynote speech has data at the center of the value proposition. I mean, we've said that before. >> Yes, we have. >> The data is the center of the value proposition. >> Every company is finally waking up. >> And then I had coined the term "the innovation sandwich." Blockchain on one side of the data, and you got AI on the other side, it's actually software. This is super important with multi-cloud. You've got multiple perspectives. You've got regions all around the world, GDPR, which everyone's been talking about, you guys have been doing lately, but the bigger question is: the technical stacks are changing. 30 years of stacks evolving, technology under the hood is changing, but the business models are also changing. This puts data as the number one conversation. That's your division. Your keynote here, what are you guys talking about? Are you hitting that note as well? >> So, number one is, think of this ladder to AI. We've talked about that before. Every client's on a journey towards AI, and there's a set of building blocks everybody needs to get there. We used the phrase once before, "There's no AI without IA," meaning if you want to get to that end point, you have to have the right information architecture. We're going to focus a lot on that. We've got a new product we've released called IBM Cloud Private for Data, which takes all of the assembly out of the data process. A really elegant solution to see all your enterprise data. That's going to be the focus for me this week. >> I want to get into that, but I also heard Scott, your VP of marketing now, talk about bad data can cripple you. So, I want to explain what that actually means. Because it's always been dirty data, it's been kind of a data science word, data warehouse word, clean data, you know, data cleanliness, but if you're going to use AI as a real strategic thing, you need high quality data. >> You do. >> John: Your thoughts? >> Think backwards from the shiny object, 'cause everybody loves the shiny object, which is some type of AI outcome, customer centricity, making you feel like a celebrity. There's two things that have to happen before that, or really three. One is you need some type of inferencing, a model layer where you're actually automating a lot of the predictive process. Before that, you need to actually understand what the data is. That's the data governance, the data integration. And before that, you need to actually have access to the data, meaning know where it's stored.
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Edward B. ChambersWriter, novelist, fender owner and The Paper Guide author doing book reviews. Working at the fulcrum of modernism and futurism to craft delightful book experiences. I'm fueled by poems, classics and mexican vine. ArchivesCategories |