lie from las vegas it's the cube covering discover 2016 las vegas brought to you by Hewlett Packard Enterprise now here's your host Jeff Frick hey Jeff Rick here with the cube we're in Las Vegas at the hpe discovered 2016 the first year that HP Enterprises has discovered in Vegas they flipped the switch before they went to a London last year so we're excited to be back a lot of changes a lot more green squares all over the place green frames so it's pretty exciting but you know obviously what's at the forefront of all this is data in big data what's happening with data so we're excited to get somebody from the trenches who's out working with customers first off crystal and obviously VP biz dev cube alumni been on all the time we'll see him in Boston how long Krista that show the end of August a little further and then ken Chris the director of data analytics for pwc welcome thank you nice to be here absolutely so welcome so data a lot of talk about data in kind of this this this change in data as it's kind of a liability back in the day like what am I going to do with all this stuff i'm going to sample to now I've got the data but that's not really enough you need to get the data to information you got to get the information to incite then you got to get the insight into actionable information so what are you seeing out in the real world with some of the customers that you work with so I think that a lot of what we're seeing with customers out there I mean I was walking through the floor earlier today and to see all the things that HP is doing with various technologies the people are partnering with very impressive but fundamentally at the end of the day a lot of those technologies are producing data and like you said clients and customers are trying to figure out how do i generate value from this how do I get it in the right hands of the people that can make decisions what am I seeing out in the industry today a lot of stuff particularly around customers personalization better service client experience we have the whole concept of CX which is that customer experience end-to-end don't just worry about you know how am I going to retain customers and prevent churn but also go up the the lifecycle and figure out how to attract more customers using data personalizing my service offerings improving my digital products things of that nature I'd love to get your perspective there's a lot of talk of you know there's never enough data scientists right how we're going to get enough data scientist but it takes me back to the day when there's never going to be enough chauffeur's this car thing is never going to take off I mean are you seeing the you know this kind of this vision of getting the data into the decision-makers hands getting it out of the hallowed halls of just the data science are you seeing that happening in the real world and what are some of the ways that that happened definitely I mean we've talked a long time about the concept of the data scientists being that individual that is like the unicorn it doesn't exist right so what we talk more about now is like pulling together those SWAT teams where you have someone that understands the data someone that understands the business problem someone that understands deep analytics spin teams like that up go out and find the answers yeah that's funny that you said that because we hear that a lot that data science is not an individual's it's a team sport you know you really have to bring a lot of people to bear and it's it's not just this this hallowed thing down a mahogany row at the very end it's actually getting that in you know and getting dirty with a lot of folks yeah that and I would also say another thing that's going to help with regards to the whole data scientist crunch is machine learning robotics things of that nature artificial intelligence I definitely think that that's something that people kid about as something that's far down the future but I think it's coming very quickly and something that customer sorry excuse me company should pay attention today so Chris you've been playing in the space forever you've seen a lot of transformation wonder if you could speak specifically to how the cloud has really impacted this whole kind of big data meme in this big data discussion because now suddenly it's a lot of people that have a lot of access to a lot of stuff that aren't necessarily connected to the VPN you know back at corporate headquarters that enable that to go out well it's allowed a lot of customers to iterate faster to try new things more quickly set them up take them down it's gotten business people involved one of the things can and I talked about in the session we just gave together was about how this is becoming more of a business discussion so our partnership with solution partners like PwC become more and more important because it's not always just IT people these days driving the data lakes it's now you're starting to see other sea level execs you know CFO the CMO starting to drive some of these initiatives and cloud-based solutions make those things more accessible so we're definitely seeing both quicker iteration and more business involvement the other thing we hear Kendall a lot about was back in the day right you had to sample you know you couldn't store all the data you couldn't process all the data yeah there was a lot of sampling going on right now that's that's changing you know you can store the data you can grab a lot more than you even think that you might need today but what you might need tomorrow and you can run big processes against big data sets that you couldn't do before you seen that kind of manifest itself in the market oh yeah all over the place i mean my specialty is within the entertainment media and communications business so when you talk about the cable companies and phone companies out there digesting set-top box data data coming off of phones if you go into the world where you know people Internet of Things sensor data just that you know we call it data to lose where where where it's just coming in Fast and Furious and the folks that are responsible for maintaining protecting and serving that data up are challenged more and more today and there's a lot of business pressure because people that use you know apps on their phone don't understand why can't I do the same thing with data that I know that we have to makes it make it insightful and actionable and allow me to do my job right but then kind of the dark side of that is if you have too much data you know our argues are you swimming in data that's not necessarily an indication of the change that you're trying to impact or you know it's not an indicator of something that you can take action so how are people kind of filtering through to get the right data to the right people at the right time yeah I mean Chris mentioned this and one of his previous answers but the attack that we take and that we stress with our clients is to take a business capabilities driven approach so when you think about the guy in the field that's responsible for sales or the person in the call center that's responsible for customer service taking the viewpoint of how what data do they need how do they need it served up how do they need it parsed and when do they need it that is the key to the approach to figuring out how do i find the signals through the noise what data is really worthwhile and do i really need to protect and make sure it gets served up versus this stuff i can keep versus this stuff i really don't need right and of course the other big trend is is an actual word spark summit we had another crew up there is this whole move to real time right and streaming data and not not you know grabbing capturing reviewing and looking back but watching it in real time and taking action while it's dreaming totally changing the business yeah fascinating and big data are used you know you use that car analogy before and if you heard Meg in the keynote say I think every driverless car is going to create three library of congress's worth of in fourth of data so and obviously it's very important right so you want to aggregate the data about what's going on with if you're running a fleet of cars but obviously you also have to know what's going on in the car and that's that's about as real time as it gets so and so these things are complementary big data and fascinator highly complementary and we're seeing a lot more activity out at the edge and obviously we made some announcements here both in terms of partners and some of our initiatives at HB around that here so Ken last question video we hear over and over and over the videos and increasing proportion of the total traffic on the Internet nobody ever thought that people would hang out on their phones and watch Game of Thrones or an NFL game or go warriors and you're in the media comes or the cube that's right well we knew they would watch a cute Chris um they're only 18 minutes but that's a huge huge stressor on resources a huge stress Iran on capacity storage networking and yet the customers want it right the expectation is going to be there it's going to look good so how is that impacting the guys on the back end that are responsible for delivering a good experience but they also have pricing pressure and they've got a ton of demands on their resources yeah yeah it's funny that you bring that up I walked into my house last week and hell-bent on having some good family time with my wife and kids and the TV was on and all of them had multiple devices actually iPads and iPhones that they were and everything was sucking off the internet which was kind of amusing to me but that's exactly your point and a lot of the companies that we're working with in the communications industry specifically their main goal and focuses to make sure that the pipes are big enough that they're utilized properly to make sure people have the best experience possible so utilizing the technology not only capture the data but really deep analytics to pinpoint where are my peaks and troughs and utilization and usage going to be how do i divert and make sure the right resources are available again also that can provide the best customer experience just can't over provision it like bananas oh yeah but it's expensive so you don't want those pipes of the empty either that's the thing you want to have enough capacity but you don't want / build that so it's it's an analytics challenge this analytics challenge and it's I always think of the old AT&T ma belle you know problem on Mother's Day everybody calls mom on mother's day back in the day you had to build the pipe to support mother's day even though most people aren't calling or not on Mother's Day well can Chris thanks for stopping by can give you last word we're looking forward to in the next six months as you know see some of the exciting things your customers are working on yeah i mean the technological advances are really great i will say that customers especially business consumers of the data getting very much more smarter much more savvy er so the demands on the folks serving up that data storing that data and protecting that data are going to be you know more and more crucial but it's it's just great business to be a part of it's great to see it's great to see the technology and some of the stuff that you guys are doing so we're proud to be part of it and happy to be here thanks for stopping by Ken Chris crystal and I'm Jeff Rick you're watching the cube we'll see you next time