 Live from the campus of MIT in Cambridge, Massachusetts, it's theCUBE, covering the MIT Chief Data Officer and the Information Quality Symposium. Now, here are your hosts, Stu Miniman and Paul Gillan. Welcome, this is theCUBE, day two of the MIT CDO Information Quality Conference here in Cambridge, Massachusetts. I'm Paul Gillan with Stu Miniman. We'll be here wall to wall today, coverage with interviews with some great guests we have coming on today, beginning with Tom Davenport, who right now is finishing up his keynote presentation on the subject of data 4.0, what the future will look like, a data-driven and machine-learning driven future will look like, how robots may take large swaths of the workforce out of the picture, kind of an alarmist view, but also ultimately a positive one, we'll wanna talk to him about that. We are gonna hear from several CDOs today. We have three CDOs coming on, in fact, immediately after we speak to Tom, and just a bunch of other interesting guests we'll have on the program. Stu, yesterday was all about, there was a lot of talk about governance, a lot of talk about the role of the CDO. Any takeaways that you took from those discussions now that you had a night to sleep on it? Yeah, well, you mentioned that Tom Davenport's given his keynote, and he's an excellent speaker, really excited to have him on the program. One of the things he talked about is having that balance of what he called offense and defense, and governance really falls into kind of the defensive piece of it, but we need to look at the offense, so companies that are helping to create new business models with their data, companies that are making or saving big amounts of money, we had the DOD talked about saving, it wasn't it like $6 trillion? So it was well, it was $6 billion from one pilot and we'll see, but give or take a billion dollars here, it's all, we'll end up paying for it at the end of this. Edward Dirksen said that, a billion here, a billion there, eventually it adds up to real money. Exactly, but Tom Davenport, it was really interesting. The other thing is kind of the role of analytics and big data, and Tom said he originally talked about three errors of analytics, and he's changed it to four errors of data, so as we kind of get a broader view and look back, it's not necessarily about analytics or definitely not any specific tool, but it's about data and data usage itself, which really resonated with me. We always say in the tech industry, we always get super excited about the next big tool, but it's more what we heard from the people that are creating the CDO Institute, which is we need to have understanding on the methodology that we're using, I need to understand how I do it and train it so that as the technology tools change, I can stay up with it and keep my job and keep policies in place that go above and beyond any specific technology. And Davenport says we're in the age of data 3.0, which is a very messy time, that we are basically taking, there's so much data now to process that we can no longer handle it centrally, we need to take that process and move it out into the business, and make everyone essentially a data analyst. As happened when mainframes gave way to PCs, as happened when telephone operators gave way to self dial, we have to teach people how to use tools that are foreign to them. And that's why it's so messy right now, there's not only this organizational disruption of having to disperse all this technology, but also just keeping up with all the new technologies flooding in. Yeah. We had a point about Hadoop has become a problem in many companies because there are so many Hadoop instances popping up that no one can keep track of them. There is no governance, if you will, there is no control and really no guidance over how to use these clusters appropriately. Yeah, so much, every new technology, right? You get who owns it, we get that sprawl. We had, on the infrastructure side, there was server sprawl and then there was virtual machine sprawl. People have, how much cloud am I using that I don't think of it? So right, but the positive factor that Tom gave is if we can get to that next, the Ford Hadoop piece, that's when automation should get more involved. That's where you said robots, it can hopefully help out. So if we can work man and machine together, which really reminds me of what Andy McAfee and Eric Brunyomson from the MIT Sloan School talk about, it's racing with the machine. So it's not just machines are gonna take over our jobs, it's we're going to need to work closely with them because it's been found from a research standpoint that it's when I can pair both the knowledge and the creativity of the person with that robots and the automation together that I can beat robots or people by themselves. But there's gonna be a messy time before that, before we reach that next stage, as happens whenever there is a disruption, as happened when the Industrial Revolution occurred. Yeah, I'm really waiting for the time that we don't have a messy time in IT. I don't expect it to happen in my lifetime. Well, it'll keep us employed at least. We do have four CDOs on the program today. And I think that's one of the things about this conference that really is special. This is our fourth year at the event. The quality of speakers, the quality of attendees at this event is really like few other conferences I've attended. We get people from the White House, from the Department of Defense. We had a CDO, the Department of Transportation on the program yesterday. And it's a very informal, sort of honest, open exchange of ideas. One reason I enjoy this conference. Yeah, I tell you, I always, they call this a symposium, right? It's not a conference. And the ones I've liked, right, you get 100 to 200 people. And the people up on stage are often people that had been attendees in the previous years. And many of the people in the audience could be up on stage themselves. So I've gone to some small innovation conferences where it's the same you have the coffee house of ideas that just happened in the hallway. And the quality of the guest is there. I said we're a little self-selecting. We probably don't have the data 1.0 people here that haven't started to look at CDOs because they're coming to this event. So these are people that are open to trying new things. These are the people that are going out there and breaking glass and sharing those ideas. So it's been exciting. And yeah, we just grabbed some of the attendees here. We put them on the cube. We've had some really good content people that. And an event that is dominated by the attendees too, not by the vendors. There are exhibitors upstairs but it's a very low-key hands-off approach they take. So looking forward to a great day. We will be back in just a moment when Tom Davenport gets free. We'll bring him down here and then we'll have him on the cube. So this is the cube.