 Okay, back here inside theCUBE live in New York City. I'm John Furrier with Dave Vellante. This is theCUBE, our flagship program where we go out to the events, in some cases, create events, Big Data New York City is our first event and we're excited to have Bruno back on theCUBE. But we're here in Big Data Week in New York City. Big Data New York City is really about covering Hadoop World and Stratoconference and all the activity going around. I'm actually writing a blog post kind of right now. It's open in my browser, Dave, and it's talking about how it's changed in four years. And Bruno, welcome back to theCUBE in a new role. So tell us first about the new role. Welcome back. Thank you. Chief Marketing Officer, get promoted. You keep on getting promoted. Come on, every time. Thanks for having me. Yeah, no, it's a very cool, interesting company. And I think the stuff that motivates me is to go after big problems. So Alpine Diddle Labs is a company that focuses on advanced analytics on Hadoop and Big Data. And we essentially go after a market that I think the advanced analytics market really hasn't progressed over the last 30 years. And I get like incumbents that build software in the 80s that has worked well and has generated a lot of revenue for them, but unfortunately has limited the access to advanced analytics for people across the organization. And so that's what we're about. We're about making advanced analytics accessible by having access to it on the web, having access to it without having to script your way through it. You can drag and drop and start building complex math using simple tools. And we ran all of that on Hadoop. We send instructions to your data source and your data environment. So you don't have to also deal with issues like data extractor, moving data around so you can analyze it. So talk about the show here, obviously. It's packed out. It's a sell out again. This is just gonna get bigger and bigger. But talk about the dynamics involved in the industry. I mean, Dave and I just talked about this, our fourth Hadoop world. And now Strasco in the game. So it's been the confluence of business, means to products and technology. What's your take so far? So I mean, it's been quite amazing. And I will say for me, New York is probably the flagship one. You know, I mean, I think you have the Santa Clara one. I think New York is a really great indication of what's going on with customers in financial services, healthcare, manufacturing. They kind of all come here. And what I'm seeing, I mean, today I was with Cloudera and I was looking at what they were doing and they really starting to now get a sense of it's about the business. The business is now getting it. It's the line of business. They've invested in this data platform and environment. Now we need to go to the line of business and provide solutions for this data platform. So how this translates for us. Of course we have churn prediction, product recommendation models and so forth that really help the business analysts, the data scientists to do something with the data. I think now customers are ready to do that. And so really I think 2014 is going to be the year of big data applications. And I think they're really gonna explode. And this is great timing because I think everybody's planning for that. Talk about the Alpine situation where you're at now. What attracted you to go there? I mean, you had a hot company where you were at before. I mean, they're breaking the physics. We just see some stories here. Just put a little post up here. C-Sense breaks the rules of physics. You were there. You obviously did a great job for those guys. Was it a case of just another great opportunity for you? Share some of the insights of the switch. Yeah, I had a ton of fun at Cicense. Cicense is a company that's on fire and it's gonna explode. Yeah, I like you. You said today they're breaking the laws of physics. So there's a lot of innovation, great technology. In the case of Alpine, what I saw is, first of all, the technology is just insane in terms of how it's helping customers. I mean, when I interviewed with them, I talked to their customers and their board members and it was clear to me that there was very, very strong technology and a space that really hasn't been disturbed. I think if you look at what I've done at Cicense, it was very disruptive in the end memory world. Alpine is disruptive in the advanced analytics world. And I think if you look at the evolution of the space, that is going to be the next hot thing. Advanced analytics on Hadoop, on Big Data is a barrier that we really haven't broken through. And that's what motivated me. There's really nothing wrong with Cicense. It's a very exciting company. I'm still in touch with my friends there and I'll do everything I can to help them. At the same time, Alpine was just one of those opportunities where I could see the market opportunities. Software is very solid. The company needed a marketer and so that was a great match. Interesting collection of investors as well at Alpine Data, in addition to others, but including EMC and Stanford. Yeah, yeah. And so it's a company that's really rooted in the Silicon Valley and in one of our, so we have Sierra Ventures or Mission Ventures at Sierra. We have Tim Guleri who you might know sold this company for $3.2 billion to Epiphany. So we are really surrounded by people with big brains, lots of experience. And the team is really based on data science. I mean, wait, the first week that I got there, I'll just give you the story, is this guy called Will, Will Ford, and is one of the really smartest data scientists I've met and very outgoing and so forth. And I said, you know what? We should do a show every week with you because you have so much knowledge. So we created this Wednesday with Will. So every Wednesday at 9 a.m. we do Wednesday with Will. He just opens his laptop and he says, what do you want to do? Customer retention modeling? I'll do it. We have this culture where we just have so many people inside the company building the products that just want to share the knowledge and it's really nice to be working in an environment like that. Does he do horse racing? He does not do that, but if I can put you in touch. But it's actually kind of funny. So we've done it, I just joined the company, right? So we've done it maybe three or four times now and we were showing up at a customer meeting and he became this very famous data scientist. Like somebody said, wait, you're the Will from Wednesday with Will, Will? And so I think it's really cool to work in an environment like that. So what are you going on across the street? We're right here at the Warwick Stratoconf and Hadoop World is going on at the Hilton just directly across the street. What do you got going there? So we've got lots going on actually. I'm very happy with what's going on with Alpine and Strata. First of all, we have our booth. So it's booth number 52. We're doing lots of cool stuff. We're announcing Alpine 3.0, which is the version of our product that features web-based, Scriplis and directly on Hadoop in cluster analytics. So that's one. We also have an Ignite talk tonight about why women make better data scientists. Our chief product officer is gonna do that and that should be pretty funny. We also are part of the startup showcase competition. We're one of the 12 companies, I think, that was selected by the advisors to show up there. So my team is out there doing that right now and then we have customer meetings. We have Barclays and Havas and Scala, which are companies using our software today talking to the press and customers and other prospects. We've got lots and lots of things going on. You won the startup showcase last year. We saw since last year, yeah. Yeah, yeah. Awesome. So hopefully it can happen again. We're, yeah, good luck with that. So we're stoked. We have Hilary Mason coming on, I think, tomorrow. Yeah. Former head data scientist at Bitly right now. Now Hilary doesn't like talking about women in technology, so don't bring that up to her. So why? I didn't know that. I'm sure she gets, well, when we entered you the first time, we went deep and we didn't have to go there. She demonstrated why she's in technology, she's awesome. So why do women make better data scientists? Well, so there's a few things. So it's a subject that's very close to our chief product officer's heart where he had this experience, his PhD from Berkeley, he had this experience of this lady that was supposed to get a tenure and a job at the faculty and she was disqualified because one of the people making the decision noticed that she went to women's college. And it turns out that if you scratch under the surface that women's college was the place where Margaret Thatcher and Gandhi went to. And so he feels like there's a lot of prejudice in this profession. Now, when you scratch and you look at the data, it turns out there's a lot more women than any other field in IT involved in data science. And if you look at salary, they actually end up making more money than men. And so really when it comes to data science, according to the data, woman is the future of the men here. And so we're trying to do this funny talk. We've brought that up pretty much every year, Dave, here in theCUBE. So that's something that we're watching. And we're just talking earlier about the data scientist number estimated about 200,000 data scientists in the world, about 2 million analysts. And that that analyst population will be data scientists. So tools to make that easier will be not just men. It's going to be a variety of. Yeah. I mean, that has to be the way we expend, right? We can create more people just like the data scientists that are typical here. I think what we see for customer sites, it's probably one data scientist, about 100 business analysts. So the opportunity in the business analyst realm is huge. And we know that there is frustration in these business analysts that are being told by data scientists that they shouldn't put their hands on this complicated math thing. Well, it turns out I think in the past, we've devised software that has created the silos. And so I think we've got to go out and fix that now. OK, well, I want to ask you to wrap up, because we've got Dave. Dave and I really got to brainstorm and want to wrap up. And then we've got the Red Sox game, of course. We went on to take away from that. And I know nothing about baseball, so. Well, it's about 45 minutes until the first pitch. We'll keep an eye on the time. What's your perspective of what's going to be at the show? What are you expecting here? You get the inside baseball. You guys are involved in the event. You're inside the ropes there. What are you expecting this week here? Well, so I think what's going on is you've got the big guys, right? You've got the Cloudera. You've got the distro guys that are bound to make announces that I think are driving the rest of the ecosystem to think about what do we want to do next. So that's what I'm going to look for is what's happening on the distro side and what's happening on the application side. On the application side, I haven't been too surprised. But like I was saying earlier, I think 2014 is the year for that. And so I would expect that some companies are going to make some announcement. I mean, I think I talked about mine. But I think that's where we're going to shift now. If you go to Santa Clara and look forward, I think we're going to start talking less about the data infrastructure and more about the apps. Dave, your take on this? Well, you know, that's interesting because Mike Olson, you know, it's a couple of years ago now and Hadoop World made that prediction. So this is the year of the app. And, you know, one has to ask, where are all the big data apps? So, you know, I think eventually, when we keep saying that, as I've said it as well, Jeff Kelly predicted it two years ago, 2012 was a year of big data apps. So I think if we keep predicting it, it's going to happen. It has to happen, right? It's taken a while because the infrastructure needs to get built out. It needs to get steady. It needs to get enterprise ready. You need other tool sets and robustness of an ecosystem. It's starting to happen. There's no question about it. And it seems that people are going with the data platform and they're experimenting. So they're doing some discovery. You know, I think what's happening now, they got to the maturity of going after the killer app. Analytics is the killer app of big data. We just need to start seeing more and more of those use cases out there. Yeah. And you know, everybody talks about the skill sets gap. Well, it's been a couple of years now. People are bringing in those skills, training people. People are, you know, humans are autodidactic in a way too. They can teach themselves. And so I think you're seeing a lot of self-learning going on in the community. So let's say 2014 is the year of the big data apps. Yeah, I hope so. Okay, Bruno, thanks for coming inside theCUBE. This is theCUBE. We'll write back. Dave and I will wrap up day one. We've got two more days of live coverage, wall to wall. And of course, Tuesday night, we're going to be offering commemorative CUBE shot classes for our big data party. Again, we go out to the events. In some cases, create our own events. So tomorrow night, happy hour apart from six to eight in New York City, the Warwick Hotel. If you're a CUBE alumni, you just walk right in. We'll know who you are. You have free pass, no problem. And get the commemorative shot classes. So we'll see you tomorrow. We'll write back with a wrap up after this short break. Thank you.