 Live from the MGM Grand Hotel in Las Vegas. Extracting the signal from the noise. It's theCUBE, covering splunk.com 2015. Brought to you by Splunk. Now, here are your hosts, John Furrier and Jeff Ricks. Okay, welcome back everyone. We are live in Las Vegas at the MGM for splunks.com for 2015. This is theCUBE, our fourth year of coverage to SiliconANGLE's flagship program. We go out to the events, they extract the signal from the noise. I'm John Furrier, the founder of SiliconANGLE. I'm showing my, it goes Jeff Frick, GM of theCUBE. Our next guest is Jeff Chansey, managing director of Centure Technology. Welcome to theCUBE. Thank you, thank you, happy to be here. So you're the guy who has to make it all happen. When the C-levels say, hey, we got to get the big data, we got to get the security figured out, we got to have cloud security. You guys get called in, you kind of do kind of put it all together. I guess you could say that. Yeah, I don't know if we're simplifying it, but in the end of the day, this disruption, opportunity. What are the top line conversations you're involved with right now? Is it cloud security? And what are some of those conversations like? Well, the particular area that I work in is within our Accenture Technology application services business. So really our systems integration, our application outsourcing, application development and maintenance. And one of the things that I've been spending the last year or so doing is looking at how can we do application services different in the marketplace? So, I don't know that I would phrase it as an area of disruption for the question you just asked me, but I think it's an area that's right for some sort of disruption because if you follow the trends in the marketplace, application services has kind of devalued in the marketplace over time. And I think the market's really, really right for something new and different. Hence why I'm here at the Splug.com today. So what are some of the tooling involved? Is there some innovation going on? Maybe not disruption, because people don't want the disruption. But operationally, there's some things in place. It's not like, it's a green field. There's some value change that of being reconfigured possibly, but big data is changing a lot of the IT ops. Absolutely. Where are you seeing that action happening? You know, Accenture were a $30 billion company and we're in all the industry verticals around the world. We're in all the major industry groups and we have a lot of clients around the world and we're really sitting on a lot of our clients and our clients are sitting on a lot of information, a lot of data, especially a lot of operational data. So if you look at it, where Splunk kind of fits in, sitting on machine data, structured data, unstructured data and the vast majority of our clients, our Accenture clients, the vast majority of customers around the world just actually have no idea what they're sitting on, how to make sense of it or how to get any value out of it. And so one of the things I say in the marketplace that I'd like Accenture to do, powered by Splunk, if you will, is basically bring the back, bring the back to the front. So I call it bringing the back to the front. So traditionally, operational information and operational data is viewed as, oh, those are for the support people. Yeah, back off as well. Oh, the file system is full. There's log files to do triage, but actually there's a lot of very, very valuable business data sitting in all that information. And if you can just mine that data and bring that back to the front, you can really bring a lot of value out of it. And DevOps trend in cloud has brought the developers close to the action, the front lines. And I want to ask on that point, because that's a great, great point. I want to drill down on that. So Analytics is a big killer app, getting the insights out of the data, but now you're traversing development, operations, and lines of business, right? It's kind of all kind of coming together. So how does a company operate, become silo-agnostic? Because analytics has to be silo-agnostic, but yet all the silos are all, you know, I mean, data-driven is a great bumper sticker. Hey, let's be data-driven, but you got to bust down the silos. So one, do you agree with that? Absolutely. What are you seeing out there for this? How do people become silo-agnostic for analytics and how do you intersect development ops in line to business? I mean, it's a very good question that you're asking, and it's one of the things that I'm helping to spearhead within Accenture, within Accenture Technology, is how do you bring agile, agile methodologies, sprint-type development, dev ops, so bringing the back to the front, bring the analytics, and bring that all together. So in a lot of application delivery that happens today, not in all cases, but in a lot of cases, the operability, the analytics, the intelligent applications, developing those in that manner, sometimes can be an afterthought. So what we want to do is we want to make that a forethought. We want to deliver instrumented, operable, intelligent, smart applications through dev ops and agile methodologies upfront. Instead of trying to bring it on, you know, bring it after the fact, which is what happens in a lot of today's environment. You made an interesting comment. You said that you thought that the app services devalued these days, did I hear that accurately? Because it seems like apps are now running everything. They kind of apps and app development and agile development are kind of front and center and now everything is kind of catching up to support that agile app development. Yeah, the point I made is around, you know, a bit of a commoditization of application operations. So more of your production support. Not necessarily your high value premium functionality development. And so in your production support, your application operations, there's been a bit of devaluation, commoditization that's gone on over time. Now, that's going to continue to happen regardless, but there are new generation applications, new generation platforms such as Splunk, that can help change the game and change the value perception of what you can get out of your operational and your machine data. Yeah, I saw a great example as a movie. The human face of big data that sponsored by EMC and SAP is great show, but they were talking about premies in neonatal care and they have all these monitors on them, their heart rate, their temperature, et cetera, et cetera. But the nurses would only come in and monitor it once an hour. And so that this exhaust off these systems that were already in place was just going basically onto the floor. And then they find out that there's little anomalies and heartbeats when infections first start to come that if they'd been monitoring the thing the whole time, if your point to operational data has some really important valuable information that nobody was paying any attention to. It's amazing. That's right. And it's costing lives. And I think what you're getting onto is another very related and relevant topic around predictive analytics and machine learning. Again, this is a place where Splunk has a platform plays. So if you can recognize, even in a medical environment with premies, for example, you can recognize the key trends, the key correlations, the key patterns in the monitoring and operational data that tell you 90% of the time, when you see this pattern, you're going to end up having a serious event happen in an hour and half an hour. If you can grab that information, codify that information, and apply machine learning, then you might actually be able to predict and prevent the instance before it happens, rather than just waiting for the, what do they call them, code blues to happen. So are there early wins that you've seen with your customers where you can demonstrate the value, the undeveloped, unexplored value in this operational data that here to before they just ignored? Absolutely. So right now, the initiative that I'm driving, we're in 30 of our top application services customers as we speak. So we're leveraging Splunk as a platform to help power how we bring better value for money in a differentiated, more valuable service to our customers because as you know Accenture is a professional services company, clients are our business. And so we're already able to demonstrate with some of these technologies, bringing them to the, let's say the back office, again bringing them back to the front, showing them what I call the art of the possible with data and information and insights into that information that they didn't even know existed. So for example, being able to detect real time with a platform like Splunk, what customers that are on online applications are doing in real time. And then understanding the behaviors of those customers, correlating those and developing those patterns through machine learning as well. And then saying, I think it's probably 90% chance if I do a preemptive marketing, whether it's a pop up on their mobile phone or an outbound call from a call center representative to do an upsell marketing call, maybe I know that 90% of the time when I target these customers that are exhibiting these behaviors real time, I'm going to actually seize the upsell. We've already prevented, we've already shown that in the market. Jeff, thanks for sharing the insight on theCUBE, really appreciate it, but I want to get one final question for you to share in the end of the segment is, share with the folks that are watching, what's the color of the show? What's the vibe? What's going on here? Because a lot of sessions are packed. Not a lot of people are tweeting because there's so much learning going on. There's good biz dev, there's partners here. What's the vibe of the show? What's, share some insight into what's going on on the ground here? Yeah, what I can say when the kickoff session happened yesterday morning, it was absolutely electrifying. That's the way I would put it. Very exciting, you know, kind of get the goose bumps, get the sense of the energy in the air. You know, I have not been to one of these before, but hopefully I get to come to a bunch of them thereafter. I mean, Splunk is just really a high energy, you know, forward thinking company, and they have really put on a great show here. It's very exciting, very electric, is how I would classify it. The culture is phenomenal. If we'd been here four years covering the event, I like the culture, because they act like a startup, but they're one of the big boys now. They're a public company, they got growth pains, they got to grow faster, Wall Street's trading their stock. You know, I mean, this is like the big leagues for them. It's the big leagues, but again, like you said, they're acting like a startup, which is very exciting, and hopefully it stays that way. There's no reason why it shouldn't. Yeah, and I think that's all the top executives drive that. So it all comes from the top. We're here live at Splunk.com, this is theCUBE, we'll be right back with more for this short break.