>>law from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back to Las Vegas. Lisa Martin with John Ferrier, The Cube at AWS Reinvent 19 Lots of buzz. You can probably hear a little bit of it behind us here. There's about 65,000 people projected to be at a W s reinvent this week. Wow, we're very excited to welcome a distinguished guest and a distinguished architect from Splunk. Back to the Q r didn't murder, do you? Welcome back. >>Thank you very much. Thanks for having me back. >>Great to have you here. So let's kind of talk about here. We are re invent lots of news, lots of stuff. Lots of buzz going on. What kind of the latest with Splunk and a del us. >>All right, so the latest Splunk is obviously acquired us significance. The deal closed in trouble, So we're very excited about that. Um on we really feel that it's a it's a manager off complementary technologies, which is what I want some of the things we probably we can discuss later We're also very excited because we got acquired. Then we were able to go to dot com where we, you know, introduce the combined companies together. But then, at a cubicle on recently, we made a couple of very interesting product announcement that we're excited about, which is way discussing lots of reinvent conference. The 1st 1 is we have a brand new kubernetes experience called the community's Navigator, which we feel is a far, far better way Thio understand and make sense of the community environment. As you know, it's taking getting a lot of traction as a technology. So we're very excited about that because it not only gives you the infrastructure of you, but it also gives it the operators view, which I think operas. We really appreciate it. Three other thing that we're also focusing on. Obviously, if Splunk acquired US logs is an important part of this equation way are doubling down on the ability to ingest logs and make metrics out of them. You know, one of the things we've always discussed is how metrics every lightweight and actionable think that you can put on dashboard. You could put a lot son on the ability. Doing just logs and make them into metrics gives you that capability on the log data. We had a very interesting announcement around AWS. Fire lands on so on where you would be able to take love data from Splunk or other sources, and they bring them in as metrics to the system. The 13 has to do with the growing traction off open source standards. So we were actually very excited to make some contributions in the open telemetry project that we can discuss also later. But the idea is we want to promote open standards on open source, especially in instrumentation in the monitoring. Really? So that's kind of what's new >>question that's here at Amazon this week in this points to your success is observe ability, jazz he's laying out. This is distributed cloud Senator Gravity public Cloud Edge Outpost, Native AWS, Outpost five G with Verizon Wavelength All points to a lot of things. Move around, move compute to the edge where the data is so it speaks of large scale people having a hard time of doing it themselves on observe abilities. Harder and harder to roll your own are managed multiple tools. What are you guys doing to solve that problem? And how do you shape that going forward? >>That's a great question. Like the thing that blows my mind every time I come to reinvent is just the sheer variety of new things that comes across on. People are adopting them. All of these, he mentioned a bunch of different service is that I've got a lot of traction, got a lot of users, so that's happening across the user base. And then the question on D A. Y is because it's no longer about just building a database or, you know, things that you can sort some data and make some credit. It's about building the solution. A good solution. Need to support all the system. The service is that the customer the engineers are using right, so just keeping up with the sheer pace of innovation. Keeping that system up today is extremely, extremely hard. And so I feel that in generous making, less and less sense for most companies to try to roll their own observe ability, they would rather choose good tools that can sort of empower them that can able to move faster and invest in the people and process is part of it, which is also very, very key because >>the downside of rolling your own doing it yourself sure, what are some of the consequences that might happen? >>So in general, the people, the reason people want to build a couple of reasons, right? So one is they might undervalue, like the capabilities that good of the ruling might provide you, they might be afraid of the cost, like observe ability was cheap or free. Most people probably wouldn't build it. Some of them still vote because they might be afraid of vendor locking. Vendor lock in is a problem, and you don't want to be locked into vendors. Right? And what I feel in the terms of the risks is like if you consider observe ability as a cost center and not as an enabler, then you probably gonna try to do D i Y. But I think the view to the right view to have is think of it is something that accelerates your innovation and some of the risks of the advice. If you don't build something that's really capable that can that can do all the border or something that a system. Should you're gonna get slowed down, your innovation is gonna get slowed down. Another very thing, common pattern that we see a lot is maintaining, maintaining that it is a lot of resource is and people to build and maintain such a system. It's easy to prototype something and get it going, But are you going to be able to maintain the head count higher and grow the team on a long term basis? Because it's not something you can suddenly decide? Oops. I made a mistake. Time for a change. >>But change is difficult in any aspect of life. Changed management is something that we talk about office. It's way easier said than done. One of the things Andy Jassy talked about this morning and alluded to this and John's exclusive interview with him the other day was that the transformation needs to start at the top. It needs to be an executive level, a senior level and an aggressive tops down push in your experience in the last couple of years, what are some of the things that you're seeing companies in terms of the senior leadership embracing a understanding where D I y is useful where it's not, but also pushing that I want Oh my God, guys pushing it down from the top. So folks understand why this type of change is fundamental to a business to be competitive, >>right? So in general lighting, the focus is all on, like innovating, faster moving faster, keeping customers happy. Fundamentally, that's what we're doing. You know, our CMO Tom Bueller likes to say that you know the business. The Internet moves at the speed of life, a speed of life, Israel time, right? And so outages, Any kind of issues. They really affect your brand. And that's something that we need to avoid, like the plague, right? And that's gonna wear again. Observe. Ability comes in because this is the thing that's gonna allow you to find out renting There are. But more importantly, even when you don't have outages, the confidence that teams get in making changes, whether it be configuration changes or coat, which is a setup because they have a good system backing them up, is very, very critical. Right now. You can go D i y. You can go with a vendor solution, potentially terrifying, especially you can build one, but I think from top down. The important thing is like you have to be very clear about what you want out of it. And what are those things that you want to accelerate or make better in your organization? If your goal is, I want faster innovation, more code pushes, more changes, less deception like I feel that message needs to be done so that engineers understand that from management perspective, there's full support for this on their empowering you again. Where the two comes from is less important. But I think having those goals very clear and having that culture set from the top is very critical. >>A lot of open source discussions were hearing it here, laying out multiple databases you got pie towards you got tensorflow in machine, learning side on more and more kubernetes again, that's all speaks to where the service measures air going in. Micro Service's There's a lot of talk around open instrumentation open telemetry. What's your take on this? What is what's going on there? Can you share your commentary on those two things? >>Yes, so injured, as you know, like from the beginning, where since in Olympics started, we always believed that instrumentation should be open standards based. There should not be propriety instrumentation. They should be vendor lock in. It was a little bit perhaps ahead of the time, and we started off, but you can see that trend really accelerating now. But at this point, because of the sheer variety of service is and so on, it's very, very hard to build proprietary everything that supports all the all the things out there. What we're seeing is more bottoms up, open source, open standards efforts. Right, And that is great because A for the guys who are doing d i y. Because they don't want vendor lock in open standards is great because you're not really locked into a vendor in your environment. What you're doing is using a different back end, whether it be you know, your own or would it be a vendor's? Some of the things that we're doing is we're actually very happy to see this acceleration, and we're actually helping make that more so. Way just contributed pretty significant open telemetry project, which, as you know, is a way to instrument your environment for traces and metrics and logs eventually and so we actually donated the signal if Ickes smart Asian, which is pretty wonderful because it's a survey that's an agent that's running on your instances on your host, discovers as nuisances pop up. So, you know, speaking of community is the perfect fit for that, and it will start monitoring them and sending you did up on by making it by donating it to open telemetry. Were hoping to sort of accelerate out of the goodness and so that you know, all customers all use it. Whether they're significant customers or not should be able to benefit from that. >>Is an open source the source code? Or is it open as >>it's open source? There's two aspects to it is open standards as well as open. Both of them are happening because through the Amish in acquisition, we're now actually a pretty cool part of the open telemetry effort. So we're not really helping find finalize the standards, but also donating actual source code and components. >>Take a minute to explain. Signal FX is evolution now that you're in Splunk, right? What's changed? What's still the same? What's how is it? Evolve, how a signal effects evolved because you guys were really early ahead of it. A lot of people, but a lot of market power, great customer base and tech. What's the impact of Splunk and signal FX? >>Yes. So you know there's this cliche which is one plus one equals three. It kinda almost feels true here because, like I really, every time I think about this acquisition, it just feels how complimentary these two companies were because we have metrics and traces. Blanc has the best loss platform. But one of the things that we lot of times don't understand is he also a bunch of other technology which is highly relevant to the observe ability, space. For example, the acquired A company called Phantom, which is into automation, which is right up our alley because I feel like after all this mess has died down a little bit on communities, automation is gonna be the next frontier. They're fantastic. Automation platform built the security automation tool called Mission Control based on that, and now we're looking at how we can bring that into observe ability. Another example is incident management, Broncos Victor Ups, which is again exactly right up our alley. So we feel that we can really build a portfolio of solutions that work really, really well, that's one aspect. The other aspect, as you mentioned, is just the market power. And the resource is that's behind us, which is wonderful. For example. They're quite our mission, which is a fantastic complimentary technology to us, and we're working very quickly to sort of integrate the two together. Similarly, is getting the introductions. Having the financial benefit of a Splunk behind us is wonderful to have. So I think it'll only accelerate our >>congratulations on a great venture. I know you guys stayed the course and rightfully so great payday. But great outcome with Splunk Win is a win win. Yes, I gotta ask you the entrepreneurial question because a lot of people are saying, Oh my God, Amazon sucking up all the auction out of the room, Large scale. Got red shifts taking over this. That's taking over that someone's eating someone. Okay, I don't believe that. I believe that there's still a lot of opportunity for entrepreneurs because of this Born in the cloud and reborn in the cloud a new next gen architectures are developing with EJ. What's your opinion on this? As a cloud of alls What's the dynamics? And entrepreneurs and people thinking about innovating and either pivoting or reimagine their business? How should they be thinking about how to win in the new model? What are some of the architectural things that could bet on? What's your expert opinion on that? >>That's a good question. So I have some thoughts on it. Everybody might area once, right? So I feel like move to cloud is just happening. It's happened. Everything is going to move to the cloud. So I think the fundamental technologies like the databases, etcetera, that cloud provided they're always gonna have an advantage because they're going to be able to run it in a more performance way. But the thing that they're doing us a great favour are entrepreneurs is they're making a lot of different service is available to us now. They're not always necessarily all working well together to solve a specific use case. So I feel that they're giving us a tool set, among other things, to combined together to provide solutions for the problems that users organizations are facing. Not necessarily the platform but but the solution, the vertical on top of it. I think there's a lot of opportunity there, as well as sort of just new types of technology you can. As an entrepreneur, you can still build technology that the cloud provider might find as valuable, and they might want to buy you there right when I use you. So there's always opportunity there. But I think they're so busy building that the substrate, this enormous amount of opportunities for further up north. That's kind of my opinion. >>That's great opinion. >>Last question for you on the parlay of opportunity and the career that you've had as cloud is evolving the next gen of the cloud to Toto that John's calling it, and data becomes the critical element that can fine business differentiation and competitive advantages. What are some of the next industries you really think our prime to completely transform? If they get it right, >>I think we're still stop. It is a whole lot of talk of machine learning. I think we're just scratching the surface. I think what's happened is at this point it has become accessible enough on viable enough to be applied to different places. So every day we see a new headline where basically similar techniques were applied to this use case or that this case, and it's amazing being health care, transportation, you name it like digital business. It's happening all the way on our side, on our side of the fence. I feel a Splunk or a signal effects. We want to see a lot of that happening on our side of the fence, because again, because of the complexity, wonder thing that we have discussed with John earlier is how we feel machine learning and artificial intelligence gonna help us operate more efficiently because humans are going to be able to not really rock the entire complexity of what's out there. So I feel there's a lot of assistance that it can provide. That's one area which I think is interesting, And I feel also that one of the things we discussed within Signal FX is his move towards automation automated everything because complex systems, they just need to run themselves At some point. Humans cannot really go and make all the decisions like my my mainframe, itjust kind offer it to tell you we're not really in the middle of it, right to some extent. Similarly, I feel there's not a lot of action gonna happen on Automated Cloud and automated opposite really automated everything. So I think that's another sort of big area that I see happening on one thing that I also like to say that I don't want to make predictions because, like the world is so different from 10 years ago to now, it just blows my mind. I don't know whether I would have been able to sort of think what's gonna happen. So I only wonder what the next five years they're gonna >>bring. Love that opponent. You're >>right. Even a few years ago today, mine are just thank you for joining John A B on today. We appreciate your time. >>Thank you very much >>for John Ferrier. I'm Lisa Martin. You're watching the Cube from Reinvent 19 and Vegas will be right back.

live from Orlando Florida it's the cube coverage conf 18 got to you by spunk welcome back to Splunk kampf 18 hashtag Splunk conf 18 you watching the cube the leader in live tech coverage we go out to the events we extract the signal from the noise I'm Dave Volante with my co-host Stu many men we love to talk to the customers too we've had seven out of ten of our interviews today have been with the customers Tony Alessandra was here as the chief architect at the co-operators group limited insurance company up in Canada leader in that field Tony thanks so much for coming on the yeah it's great to be here thanks for having me so we were talking off-camera about some of the innovation that's going on in Toronto and want to get to that innovation is actually in your long title yeah there's the time but tell us about your role as chief architect and then some of the other areas that you touch yes certainly so my primary role at the co-operators group is to serve as chief architect for the group of companies and so it's a fancy term to mean that I influence how we invest in technology and process for our strategy and for our operational imperatives I also have responsibility for information security within our organization so I have a great team led by a C so at the co-operators group and essentially our role is to to protect the data of our clients right we have a million unique clients across Canada that entrust us with a lot of personal and confidential data we have thousands of financial advisers throughout the company and so we have retail outlets throughout the entire geography of Canada and essentially we collect a lot of data and and with respect to policies for commercial businesses for private clients for subscribers etc and I also manage an innovation portfolio for the organization and so it's actually I'll work with our business stakeholders within the organization to figure out how we could accelerate new businesses accelerate new capabilities with the use of technology who's excited that's a big big big role that you have if I want to send the the regime you have for security say the seaso reports to you yes sir and there's a set CIO there right there is yeah so I report to the to the executive vice president and CIO of the co-operators group of companies and and my responsibility within the organization is to report back to our CIO on all the responsibilities that I talked to you about okay so this the C so technically reports up through the CIO and C so reports up through me into the CIO yeah which is that's a whole other interesting discussion maybe if we have time we could talk about that absolutely um so a lot of data I mean we think about insurance company regulated you got your claim systems which are critical you have your agent systems which are also critical different types of data both data on customers but when you talk about the data that you guys collect where's it come from what are you trying to do with with that data yes so so you know I'll start I'll start with the motive right the problem that we're trying to solve and so I'll say first and foremost we're an insurance company we offer assurance and protection to our clients right and so in the process of offering assurance and protection to our clients you know they entrust us with massive amounts of data like you know as we as we mentioned before but we'll also need to set a good example because a lot of the assurance some of the assurance that we offer to our clients is also cyber protection we offer cyber insurance to our clients we need to set a good example we need to demonstrate resilience right Splunk is a primary tool in our Arsenal where we're showing our clients that we have good resilience to be able to detect and respond to security threats when they happen that's part of our mandate right so our responsibility with respect to using Splunk is to collect data from all of our major systems within our organization we use Blonk to monitor we use Blanc to detect and we also use Splunk to respond when something is going on what is this is really interesting you're being proactive about from your you know from an actuarial standpoint you rate your risk you're being very proactive when many if not most insurance companies would do is say ok what what's the history yeah and are there any high-profile breaches and yeah as opposed to what you're doing like sounds like you're really inspecting what the policies and the procedures and the technology of your clients is I think you hit on an important point right and so the important point is that you know the the the art of actuarial science is to rely on a lot of history in the past you know to predict the risks of the future but the reality is that model is falling apart very quickly because there is very little history for cyber threats and the other aspect of it is its inconsistent its evolving and it's changing on a regular basis right and so that's why you use platforms like Splunk use platforms like spunk to detect new threats and to end to in sort of to advance new correlations what should we be concerned about which threats are relevant to us which ones can we ignore and unless you have good platforms to do correlation unless you have good automation you're gonna need a large army of people to chase things that may not be relevant to either you or your clients so Tony your industry usually has quite a bit of M&A as to kind of fund the growth that's going on curious how does Splunk in your data strategy fit into M&A type a quiz yeah yeah and so I think that's one of the biggest potential uses of Splunk for us right and so the way that insurance is evolving right now is insurance companies are all trying to figure out how they get involved in the loss prevention game right in the past it's all been about assurance right it's all been about protection and so when you think about the Internet of Things is one of the biggest untapped opportunities for insurance companies it's all about data right so smart homes smart buildings cars outfitted with telematics so it's every history you wearing wearable devices so in terms of health and you know a health insurance and life insurance protection etc all of this data is meaningful to offer value to clients beyond what we've been able to do in the past one of the things we've looked at I know the industry is looking at is well how do you value that data is that something your company's gotten into yeah absolutely and so you know part of what we need to figure out is how to model that data to give the right level of engagement to the customer so to create that two-way engagement with the customer right how am i doing how am i driving is the weather a threat for me in in the in the foreseeable future in terms of things that I need to protect is there a hailstorm coming you know should I should I you know have alerts and and and you know provide you know ask clients to move some of their valuables indoors I mean all of these are things that will increase that engagement with our clients because face it with insurance your clients engage with you two times a year right two major time policy renewal and if they're unfortunate enough to have a claim right we need to have a but we need to have a better game much more proactive game with them so you're in other ways a risk consultant with your your clients right yeah so describe that so you client comes to you says they're interested or you go to them they're interested in in in in a security you know insurance where does it start do you ask them you have Splunk do you advise them as to what are you going to look at their policies and procedures well how does it work so so I think you know Splunk is one of those valuable assets that enables the capability right insurance you know the game is becoming all about data having massive amounts of data and being able to use that data to help assess the risks for a client properly right because without having good data everything is a great guest these days I mean with climate change with cyber risks evolving with customers preferences changing data is going to be the meaningful difference in terms of understanding what risks a client has what the probability is and how to write a meaningful policy for them where they're engaged and they understand it well enough as well understand it well enough to prevent some of their losses and that's really the issue that we're trying to figure out how do we help clients understand their risks and then prevent losses prevent or minimize losses for them and and what role does Splunk play in that you you know your your your client are you a an advisor or you encourage your customers to use belong counters at all so we're talking about our future roadmap right now and this is what we're trying to figure out what's blanc this is where we see the strategic opportunities with blah right and so when we look at the co-operators the way that co-operators has been using Splunk in the past is for their security sim we were one of the very first large companies in Canada to put our security sim on Splunk we were the very first large company in Canada to put our sim in Splunk clout right and so we we you know we're very proud with being able to work with Splunk for for charting that course right for setting the example our next course is how do we leverage a platform as powerful as Splunk now to give value to our customers we're protecting our customers data assets and now it's about returning valuable insights back to the customers in terms of loss prevention that's our forward-thinking approach in terms of how we stay ahead in terms of leveraging this as a unique asset as a unique capability so your leader you've got street cred you can now extend that to your client base I mean for an insurance company risk you know chaos is just cash as I like to say it's opportunity for you guys and to the extent that you can help clients mitigate that risk to win-win it's essentially for them the reduction in expected loss it can actually hate to say this but could actually pay for the insurance which is let's take attractive it's a massive win and I think you know the other part you know that people need to think differently about is the way that people consume insurance will change dramatically as well in the next tenure so and so where you think now that you know your typical home and auto insurance you will buy an annual policy well the reality is that Home Sharing car sharing ride-sharing insurance will change to what we call episodic oh right and so essentially you'll be consuming insurance for an activity right and the only way that you'll be able to sort of drive that activity in a meaningful way is to have a lot of data on that activity right where are you driving how did you drive you know what what are the risks associated to when you're driving in the geography that you're driving where are you renting out your home what are the rooms to which client and so understanding all of those elements give us the best opportunity at giving you just in time insurance for the right risks surance as a service I love it personalized for me I mean the model generally item as a consumer is broken it's very bespoke my insurance company doesn't know who I am it's just to check a bunch of boxes off and they sent me another form every year and advised some new things and I don't even know what half the time they are that's exactly right right then the and the only way you're able to personalize is to have all of that data on an individual on a company on an event right so we give you insurance for you based on your needs based on your risks Tony we know there's a lot of AI happening up in the Toronto area yeah maybe our audience might not know tell them a little bit about that and how you're thinking about AI and what interest you have and what's Blanc's talking about when they talk about AI yeah you're absolutely right I mean there's a loop there's a massive amount of artificial intelligence activity in the Toronto Kitchener corridor within southern Ontario I would say it's early days for insurance in terms of how we leverage AI I think you know some of the early wins for us have been what we refer to as chat BOTS or virtual assistants right helping clients so this is basically speed and convenience for clients right clients need to know something very quickly very predictive short-tailed answers we're there for customers who choose to do that where it's going next is helping clients assess risk and predict outcomes associated to risks right and so there's a lot of different use cases that we're working there partnerships with startups partnerships with mainstream organizations like Splunk is an important partner for us in this area and of course academic institutions that are investing right this is all part of it for the sales channel for the risk channel for claims processing so imagine being able to submit a claim on a mobile device gathering all that data being able to correlate that data to say we've seen this before right based on the correlation here's your damages we could processes as quickly here's the experts you need to go to here's the restoration facilities that you'll engage those are massive opportunities for client service and for an ability for an insurance company to settle things quickly right we're talking about weather before it's obviously a changing dynamic has a change variable and maybe it's it's model Abel I don't know but but clearly weather incidents are on the rise have caught companies and probably insurance companies you know a little bit off guard you know climate change etc the boiling seas this we've heard yeah what do you guys what's your position on that how do you accommodate that and pass it on to your customers and well I think this is what we're well known for right and so first of all we're not gonna be able to control the weather but what we'd be able to do is prevent it from getting worse right and so when you'll hear the leadership within our organization talk especially our CEO our CEO is very passionate about building resilient communities and that starts with making sure that we're building communities in the right spots not in flood plains not in areas of high risk of forest fires or or other things that you could you know potentially prevent you know within a certain geography and so that's first and foremost right and so we're a leader in this space in Canada how do you become a leader in this area you collect data understand the geography understand the trends associated to the understand the future risks associated to those geographies based on weather trends and then lobby governments builders entrepreneurs everybody land development consortiums to say we need to build communities in better places we need to build more resilient communities and then thereafter it's making sure that you're leveraging data to be able to predict and minimize losses for clients in those areas right and that's what you'll use weather data for right who do I need to alert we have threats on the way what can we prevent how do we minimize these losses for Canadians I think the big risk that we all need to understand if the weather continues to change at the same pace are our you know people will not be able to afford the risks right and so the insurance will rise exponentially and and you know will we we won't have a sustainable model for the future so it's clear for you guys it's really all about the data one of the challenges that a lot of companies in your industry have is the data it's about the data for them to insurance companies you could argue our you know IT companies in many respects they develop products that are put together by technologists but a lot of the data is in silos yeah as Splunk allowed you to break down those silos and and is that yet part while you're a leader well like I could talk about what's where Splunk has been able to to offer us that that that ability is with security right and so we have data we have information security log data associated to our systems and our application everywhere on Prem our partner sites in our agency offices on different endpoint devices in the cloud with our different service providers so what Splunk has been able to do is us to be able to aggregate that data consume that data build valid use cases and to correlate that and raise proper alerts right that's our main priority right now is to build resilience with information security that knowledge will take us to these other areas that we want to do in offering now the value back to our clients right embed that value into our product offerings is our next logical step awesome Tony thanks very much for coming on the cube really appreciate it you're welcome it's good to meet you in the pleasure have the leaves changed in Toronto its Toronto by the way stew no tea it's coming it's coming fast Dave a lot a force to Minutemen thanks for watching we'll be right back after this short break you're watching the cube from Splunk Kampf 18 [Music]

[Music] [Applause] welcome back everybody traffic here with the cube we're in our Palo Alto studios having a cube conversation the madness of the fall conference season is just over the horizon but hasn't it yet so we're excited we get some time to bring people into the studio and we're excited to have a mini time cube alone but he's never been to the studio before it's Franco farm the CMOS Blanc Brian great to see you great to be here this is amazing I could say how you like the day love it it's awesome it's nice you don't have to set up the lights every time like we do it at all the various shows so what's going on it's Blanc give us give us an update just had the quarterly or the quarterly announcement came out a month or so ago I wasn't into that before you came in another rock and roll revenue growth you guys just seemed to be hitting it time and time and time again on fire things are going great it's Blanc we just you know huge rounds of customer success lots of new products and technology I think it's been a big focus for us how do we continue to drive the innovation engine for security and for IT and really transform how you know as the leader in Big Data how we help our customers right super fun and from the marketing side you know we're driving an enormous amount of transformation I think you see this happening for CMOS everywhere their businesses are changing you know I fundamentally believe that the marketing department is the market department going through the most transformation right now Ramos or under the most pressure to change and so there's so much going on and how we're thinking about digital first how we're thinking about being data-driven Splunk on Splunk in many ways how we're using our own technology by our business and community which I know you guys are super passionate about here right who ended no a community but your kind of reputation when you came in is you're a data guy you like to measure the data you like to you know see how things are working not like you're your dad's old marketing department where you just kind of throw it up and write 50 percent of that budget is wasted we're just not sure which 50 percent yeah that was a great excuse for a long time you know I we talk about kind of hashtag math camp is one of the things we talk about a lot how do we think about leveraging data in everything that we do how do we get data-driven insights how do we have data-driven instrumentation and ultimately how are we using that to drive the marketing department I think what we're seeing so many places is first the accountability required and marketing is changing right you can no longer say if a 50-percent works I don't know what half its what's working right now for our customers and I you know we see the need to leverage data and digitization across businesses being a key part of that but we also can't lose sight in many ways of the need for community and the emotional connection that brands have with customers and I think one of the things no see the t-shirt that's right energy like one of the things we're doing really uniquely beyond being amazing at delivering big data solutions for our customers is creating that community in that connection building that emotion and doing that in a way where we can connect the dots from you know the relationship that we're building customer success and ultimately you know super happy and satisfied right customers and we've seen that we've been going to sponge-like compact who is my first cube gig in 2012 oh my god back at the Aria knows that the cosmos is the Cosmo so you guys have you know a super vibrant community really passionate and engaged and I don't know if it's by smart planning or circumstance or you know a little bit of both but you know kind of your play in the security market as the security market has just exploded yeah and using machine data which oh by the way has something to do with IOT and IOT so you know you guys are really well positioned sitting on all that machine generator you think about the roots around IT first right how do we help IT professionals find out what's going wrong with their systems and fix them as fast as possible they can really focus on customer outcomes taking those same patterns to security which you rightly acknowledge on fire super important board level issues and now we think about businesses going through digital evolution but they're iteratively trying to add more and more digital components you see it in the marketing department right we have better access to data so we can become more digital and as we see our customers evolve the patterns that were successful in IT and security now work in other parts of the business a great example this is a customer sample Yelp wait in Bay Area I don't know if for you if it's not on Yelp and I'm not looking at a review I can't eat there because it's too much risk but the they they were working through how did they improve the quality of the experiences customers have a food delivery it's not a mighty thing this so it's not security but it's how do you take their data and begin to investigate the root causes of issues right how do you then monitor and detect changes in those patterns and how do you automate and analyze the resolution with the end goal of very clearly having bet warmer food for customers right so it's been an amazing experience for them and if amazing outcomes and all of that is as more and more data explodes across the business you see Splunk adding value in every department so I'd love to get your take something we talk a lot about on the cube and you've been in the business for a long time before spunk as well and that's you know before data was really a liability it was expensive to gather it was expensive to store you had to buy a bunch of boxes and stick it in a data center and usually bought like 75% more than you needed in case you had a bump so it was really kind of a liability now obviously as you said data is a huge asset some would say the oil etc it's an asset but it's not measured on the balance sheet it's still not measuring on the balance sheet today so when you see some crazy valuations for a lot of companies say at Facebook or Google it's really a reflection of a multiple of the value of their data not necessarily just a multiple of the value their revenue or their earnings so as you work with your customers and as you measure kind of ROI on return of an investment say the Yelp investment it's a very different measure of ROI if the date if the investment on the data side is to drive better outcomes it's to drive more revenue is to drive maybe new product development innovation and yet again it's not really measured as an asset so how does that kind of play into how people decide to do projects how they measure the success of projects when it's it's not the cost center of it and that's the transformation that's happening right right digital is happening everywhere which really means data is happening everywhere and it's not just the structured data that we're used to it's all the unstructured data though data that people were unaware necessarily had enormous amounts of value certainly not balance sheet value but any value right right I think the world has realized in every department that that data has value and so those decisions on where to have projects if you will stems from that understanding and then the best way to evaluate it is what our customers doing right we're working with dahmer automotive company and their challenges were how do they secure you know their automotive systems their their plant systems and they had out there in the old world that was disconnected it was offline and as more and more of that becomes digital it's way easier to sort of take advantage of software like Splunk and apply it to those use cases and start to realize the value and the value at the end of the day comes from I'm solving a set of problems I'm more secure I'm happier customers I'm delivering better process I have faster time to resolution with my systems recovery and in marketing if you think about it from the CMO lens which could be you know it's really important we can start to tune you know our investments and the campaigns that we're running and the messages that we're using for the audience and it's particularly important in b2b marketing where you have a lot of data I put its longer sales cycles and I don't know you know I believe it's the CMO in many ways and the marketing department works for sales but it's our responsibility to drive the demand to help our business right but at the same time it's critical that we don't lose sight of that creates having that community that is so important to the loyalty that happens over time with brick right and that's another just such an interesting point right is back in the day you know the brand's controlled the messaging the brands controlled the information the brand's controlled the content that's no longer the case anymore by the time somebody inquires to you or participates in a campaign or shows a better spunk event or or goes to the website they've probably done some homework they've probably talked to their peers they've probably done some investigation on online and I know and I go online to investigate stuff I'm looking at the other people talking about the products that I'm interested not necessarily the company's product so it's a really different challenge from a CMO perspective to engage enable and help those people be your advocates while at the same time you don't really have this quite as control the message as you used to have back well hey that's actually I think a great thing right most customers are doing more due diligence on their own and I think there's there's research you can see research from others that say something to the effect of 60 or 70 percent of the decision-making process is occurring before they even engage the brand right and so once you recognize that how you tie all these things together becomes super important so I'll go back to community I don't want to over harp on it but that's the only way that you can effectively manage the unknown unknowns in that first 70% how do you get your customer advocates to tell their stories the value they're getting how do you make sure that the content that you think is relevant to the industry is out there you're contributing to it how do you in your just think about what you guys are doing right how do you distribute the value chain of content creation to more valuable individuals that then can tie back to organizations and how do you tie it the stories that we tell right right so I want to I want to test another hypothesis bite because again you're smart guys and we talk about a lot here which is really kind of classic old-school have a big number with some small conversion rate and that's your yield yep versus having a relatively small but targeted number with a much higher conversion rate because these are actually the people that care versus more of a kind of broadcasting yeah strategy are you seeing some of that are you trying to execute I think that's critical in the future of all marketing right the broad reach stuff is expensive it's really hard to measure the impact and yeah if you can do 10 million here and 50 basis points you'll get to some outcome but the world is pivoting to vary outcome driven right how many transactions that I Drive what's the value of those transactions or more importantly how successful were my customers that we care at Splunk deeply about getting the software adopting the software getting value from the software and so that has nothing to do with big broad you know hit a hundred million people right it's hit the right ten thousand people right pull them through a customer journey that starts with their research phase ultimately puts them through the adoption phase an incredibly successful way and that Tunes everything you're in best your philosophy what you reward because they think in the the older school model there was this belief that more is better right just do more what you're a successful company so what are you gonna do just do more more and more and more and more and more and you get these linear growth patterns on more and eventually that stops working because something else breaks and you realize that more wasn't actually doing anything it just felt good in the moment it was just more it was just more and it kept people busy and it was great it was great in those sense and so that's why measurement that's why being able to take your data and get value from your data and listen to your data is so critical in every department and marketing more than anyone else now has that data so you can be targeted I mean if I can tell you if I only touched five people and those five people became incredibly successful customers that's an amazing marketing campaign right with huge success yeah versus I ran a commercial during the Super Bowl and I touched you know 240 million people but no one bought any software you might feel good about that right but it isn't necessary driving the outcomes and the results and then b2b that's so critical yeah and obviously we're huge believers of that and also on the community side as well because you know we want to get peers you know your buyers peers talking about their experience with the product is very very different than reading your marketing brochure or those types of things so it's such a critical component I mean just with the Yelp example that's a pure concept that applies exactly the same to enterprise software community like community is critically but digital is the trend that's driving all the change right that gives you access to data which forces accountability into new parts of the organization that never really had it before no more excuses and now you have this incredibly new community driven model which never used to be important but actually to me is the lifeblood of the long-term investment that marketers are making right right the other thing that you guys have done a good job kind of growing with the times if you will and that's customers want choice and they want buying choice right so you guys have obviously adopted cloud you have more subscription type of opportunity so what if you could speak to you know from a marketer point of view you have to kind of repackage things you've got to look for funny arbitrage opportunity I kind of screwed things up in the market your channel partner conflict you have to kind of manage all these things but but the reality is people want to buy the way they want to buy and you have to give them the options that they expect to be there and I think that's really the big change is the expectation is there that you have those different types no one's successful in isolation any more any belief that one vendor and one product is the solution to all ills is policy and so you know there's two views there one is what are you doing from a technology innovation perspective and that's for us very clearly focused on making sure Splunk and all the software you already have work better together the sum of the parts should be greater right right and then from a marketing perspective it's recognizing you know how you can go to market how you can sell with all the partner in the ecosystem right this isn't a competitive conversation it's how do we make customers successful and so Splunk and salesforce is better because I can look at my Salesforce data I can use Splunk I can drive my organization that's what we're doing inside the house and we see customers starting to do it right Splunk in Hadoop it's not about the Hadoop ecosystem per se being separate those that that data Lake coupled with our software is a better solution and so it's Punk with all these different technologies together being more effective is critical right and it's exactly what you said customers have what they have they've made the investments that they've made they have great reasons for all those things and I want to augment their success with ourself right right it's such an exciting time to be to be in marketing especially in the movie space so give the last word Brian for we cut out here Spong kampf 2019 is good what are you just knock off 18 18 is coming up so what can we expect how many people what what should people be making sure they get registered and get them glad it's not 2019 yet yes I have like 15 months and so we're not starting the planning on that we are calm 18 it's our amazing user conference you are there in 2012 we're gonna have almost 10,000 people there it's in Orlando Florida October 1st to October 4th it's it's really it's an amazing experience it really focused on celebrating our amazing user community now demonstrating all the way innovations and then bringing them together to share share ideas which i think is really for me as someone who's only been a spunk for almost two years so exciting every one of our customers is using our software at Splunk in innovative ways and what we're seeing more and more is it's expanding outside of just IT insecurity and so as our customers talk to each other share ideas share use cases we see the lightbulb moments the aha moments if you will going off and that part is incredible right well we'll be there again so yeah we're looking forward to it all right Brian well thanks for taking a few minutes out of your day on a Friday to it to stop by thanks for having me it's awesome a pleasure he's brian i'm jeff you're watching the cube we're in palo alto studios thanks for watching see you next time [Music] you

Las Vegas expensing the signal from the noise it's the kue covering you interconnect 2016 brought to you by IBM now your host John hurry and Dave vellante okay welcome back everyone we are live here in Las Vegas this is silicon angles the cube our flagship program when we go out to the events and extract the signal annoys we are at IBM interconnect 2016 it's our fifth year now doing all the IV meds now interconnecting out the cloud show I'm John furrier with my coach Dave vellante our next guest is Eric Herzog vice president of storage and software-defined at IBM welcome back you belong great to see you great thank you very much always loved helping guys out of the cube thank you very much for including us pleasure we are very cognitive today we get cognition going on the cube we have all kinds of real-time we've got api's and notifications or and we're going to stract some insight and predictive and prescriptive analytics from you right first what's going on with storage and software obviously storage right now you're seeing huge change Dell buying EMC which you know a lot about emc IBM buys the weather company two contrasting strategies but Stewart still it's the center of the value proposition we also heard Robert de Blanc say on stage today cheap compute he didn't say cheap storage storage visited it did he didn't say so long about cheap storage okay I stand corrected but you talk about a commoditization of resource still valuable I always said what's wrong with cheap compute want more of it I want more and more compute so storage does he changing the software values their last time we spoke about that what's the update in context to cloud what's the storage equation was a storage angle well for us there's a huge value proposition when both the cognitive side and in the cloud infrastructure side obviously with the tumultuous change in storage both from just where the world is going we believe that you ride the wave a flash and software-defined and that is our mantra as you know one of the industry analyst firms who tracks the numbers we were number one in flash capacity shift and number one in flash units last year are all flash and we've been number one several years in row and software-defined storage so while the storage envelope is changing if you open up that envelope we're writing the change inside that omelet which is flash software to find converged infrastructure with our pure power product and also with our partnership with Cisco on the verses stack that's two years in a row for flash leadership right yes charge same thing with software to bunt well the good thing is well the other guy leads in revenue we believe in a fair price for an outstanding award-winning product line on the software value now the cell where that fits in we had multiple guests on today we had you know Jamie Thomas former GM and storage now thinking a more systems view its horizontally composable infrastructure now our dead loss infrastructure as code how does that change the equation certainly we want storage but now you've got software driving the change where's the wisdom value points there well when you look at the software-defined infrastructure the magic fairy dust is in the software so we can work with our own hardware we can work with our competitors hardware over 300 different raise from our competitors are completely compatible with our software to find solutions for storage and we can use with white box if one of our channel partners our end users would rather have a white box storage bear hard drives from seagate OWD and some some flash and just a wrapper of metal we are software provides the value add for integration into hybrid cloud configurations in the cognitive configurations into the oceans of data and big data and into analytic environments all powered by software-defined storage ok so you've been on less than a year now all right you came on last summer right yes mid year so what nine months roughly yes inland what are the big learnings that you've encountered and then we'll start from there and then we're going to get into result are you going to transfer yeah I think the big learning is the world is evolving and a lot of the customer base hasn't gotten there yet so we're going to take them on that journey with flash software-defined converged infrastructure so we're going to lead that charge we're going to ride the wave not fight the wave sometimes iBM has fought the wave we've changed that in the storage world so we're going to be a leader we're are a leader in flash we're leader and software-defined are converged infrastructure particularly with Cisco had an incredible year last year you know for our first year we had over 250 customers over 400 units sold and while there are others who are bigger in our first year that was one of the best first years in the converging instructor of any vendor and that's the power of our software to find portfolio our flash portfolio and the things we deliver from a storage perspective that helps customers they convert either the software-defined infrastructure or converged infrastructure so that case so that sort of answers the question as to how you're going to deal with immediate it's not unique you got old stuff that's declining you got new stuff that's growing like crazy but still not big enough to offset the decline of the old stuff you got currency headwinds but the there's light at the end of the tunnel in terms of that transformation to those newer architectures is that fair yes absolutely last year if you look whether it was in the channel with our award from computer reseller news as the best enterprise storage provider in the world and that was in the fall of 2015 so when you look at the channel and what they're looking for from their provider unlike the guys in hopkinton in Austin who are merging they didn't win that IBM one that so great solution for our Channel Partner base we've won awards for software-defined for all flash we did very well in the hybrid or a category last year with several product of the Year awards so again yes we have an older installed base one of our big goals this year is to refresh that installed base with software-defined with all flash with a comprehensive family of hybrid raise to make sure that people understand this is where the market is going this is where you need to go to drive cognitive value hybrid cloud value quite honestly it's all about applications workloads and use cases and even though I've done storage for 31 years let's face it most CEOs can't stand storage have to put it in the language that they understand which is software value-add and how it can enhance their ability to meet the business SLA s that the CIO is under pressure from the VP of Operations the VP of Marketing the finance side and of course ultimately the CEO so in this business I've been in the business maybe not 31 years but maybe 35 okay so the product portfolio is very very important one of the criticisms I've had of IBM over the years has been just not enough product innovation coming out great R&D but doesn't hit the pipeline so when you came to see us in Boston you showed us a little you know glimpse of the roadmap and it's very clear that's accelerating I wonder if you could talk about that what can you share with our audience sure we've done it we've done a couple things first of all we have the flash religion we acquired a flash company get started but so did several of our competitors in addition to spending money on that acquisition we've invested over a billion dollars in engineering resources on the flash site software-defined we're spending a billion dollars in that as you know we recently bought the award-winning and market-leading object storage technology with clever safe and we spent money on that so IBM is putting its money where its mouth is its focus is on storage and how storage enhances hybrid clouds cognitive big data analytics and you know deals with these oceans of data that our customers are facing and how do you manage that and how do you make the data more valuable and more productive to the business because that's what about it's not about storage it's about the management that data to optimize our customers business and how we can deliver that with effective cost so clever save was mentioned in the keynote in context to LeBlanc's reference to the digital transport transit of you know new stream the video stuff interesting how he plugged in clever see how it is that relate I mean honestly I know it's a recent acquisition is it's just the objects towards an unstructured data why is clever stay plugged into that kind of portfolio of those four companies you mentioned around you know is when you develop that type of technology you end up with incredible amounts of data and an object store is designed to handle exabytes of capacity and exabytes of information it doesn't necessarily have to be fast for example video surveillance data and all kinds of other data may be hot for a while and one of the values of clever say for example is on our spectrum scale product which is our scale out network attached storage actually will automatically cheer too clever safe we're in a public beta right now our spectrum protect product we've also talked about is going to support clever safe either as an source so you could back it up but more importantly as a target so you could take gobs of data and back it up into a clever safe repository when you've got oceans of data and people are generating exabytes and exabytes of data what you can get with clever safe on premises or in a cloud configuration allows you to handle this extensive data growth cost-effectively and in an easy to manage and configure way about the end where relationship with storage obviously there in an announcement today with IBM EMC recently had an announcement with VMware and VX rail rom and the big debate was I see his hybrid cloud was deposition using their software stack to be a glue and into the hybrid cloud journey but one of the comments that we made note of that we captured on the prowl chat was from Keith Townsend one of our members of our community he wrote it took Netflix seven years to move to the public cloud meaning everything all flash they had one of the first all flesh implementations that Amazon ever rolled out what does that mean for the average VMware customer in this case IBM customer from a product perspective so you got you know your relationship VMware you have this notion of hybrid cloud right it took Netflix seven years there in the cutting edge what does that mean for the average customer this whole notion of using software in storage plugging the hybrid cloud it took them seven years was it 70 years for an average company well you've got to remember that that started a while ago and the move to the hybrid cloud is just accelerated dramatically so our spectrum scale product our spectrum accelerate product our spectrum protect product all are designed for hybrid cloud configurations right this minute they're easy to employ they're easy to use they're all available in softlayer they're also filled with other cloud providers spectrum protect as close to a hundred different msps and csps who provide backup and archive services with award-winning spectrum protect so our specialist families and I've different than it was seven years ago today actually its accelerated easy-to-deploy it's easy to use you have a wide choice of msps and csps to use whether it's soft layer or other providers in the industry and our software-defined storage supports all of that vendor base regardless of whether it's IBM SoftLayer or other cloud providers as well well you could argue to Netflix did it at a time when it was early days right it was near the Pioneer they were they were final trees hack and you know right they're the ones with the arrows in motion tracking chaos monkeys everywhere so so Tommy you guys okay all right sorry John I want to talk about the state of the industry it's a lot of interesting stuff going on even in the business for four decades you understand some of the trends you've seen a lot of the ebb and the flow how would you describe where we're at right now seems like an uncertain time so storage is incredibly tumultuous right now one of the good things about storage it's constantly filled with innovation as you know from my past I've done seven startups thank God five have been acquired so I can wear a Hawaiian shirt they're expensive these days ISA why insurance so every five six years you have a wave of startups of the storage business that's not common in most other segments of the IT market space but in storage it is so you have a constant wave of startups that happens on a normal basis and we're in one of those phases right now at the same time you have massive change in the Tier one vendor base EMC and Dell emerging HP splits into two network appliance which had been an incredibly great company it's fast has now missed their numbers almost eight quarters in Rowan just last week announced they're laying off 1500 people so the world is changing dramatically also the applications workloads and use cases are changing dramatically so you've gone to a cognitive ear you don't have cereal management of data you now have parallel management of data you don't want databases that react or let's say a data warehouse it takes 30 hours to run a report you want the report to run in one so if you will real-time cognitive data availability and ability to analyze that data and that is dramatically changing what startups are out how successful they'll be how the tier 1 vendors are reacting you know for example one of the great things about IBM is we are focused on flash which is the fastest grain storage systems market and software to find which was one of the fastest growing storage software markets and we're leaders in both market spaces so when you open up the envelope of what's inside storage it's a slow growth market three to four percent per year is all it's growing but certain segments are growing rapidly and IBM focuses on those rapid growth segments now but the cloud piece right so you make you guys are talking about clever safe before I was thought that was a cloud acquisition which it was in part right but it's also something that falls into the storage portfolio right and that's because clever safe can be configured in a number of different ways on-premises only cloud only or hybrid configuration we can have an on-premises clever safe configuration talking to a cloud-based configuration so again part of IBM strategy to make sure that from a storage perspective all of our software to find infrastructure and what we acquired with clever safe are designed for hybrid cloud configurations or private cloud configurations or public again our spectrum family is used by hundreds of public cloud service writers to deliver a backup service for example a spectrum protect so the reason my question was this very clearly in effect on that you talked about three percent or whatever you know the the latest numbers are it's flat Marcus gases and flat is flat but the cloud market of course is growing like that from a smaller base but it's clearly having an impact on demand is that a fair statement yeah I think what's happening when you look at it from a storage perspective where you're really having the biggest impact on cloud is in the lower end in the entry space yes the capacity is growing exponentially but whether it's the department level of a giant at global fortune 500 whether it's Herzog's bar and grill or a midsize company when they need a small array a lot of times are going to a public cloud configuration so that low end of the market is shrinking at the same time when you do software-defined if you're one of the tier 1 vendors the storage could come from off-the-shelf hard drives so the values in the software but that also delivers a revenue hit to the vendor base and Ashley when you think about how would you get incredible performance five or six years ago you would have bought an array that was five to eight million dollars best case if not closer to 10 you'd be lucky if you could get 200,000 I ops maybe you could get five milliseconds latency today at an average sale place of 300,000 dollars we can deliver over a million I ops and sub hundred micro center and latency so you don't need to buy your big iron at five eight 10 million you can do it with something for three hundred thousand dollars huge the bottleneck John okay I mean this is back to our kena brian.krall from Apple was on stage another great company leaders in the delivering great value but he made a comment I want to get your reaction to because I know it's a phone analogy but I want to bring into storage if the values and the software and all flash is the bet you guys are making the numbers are impressive in terms of performance in terms of I ops throughput and and cost per puss per megabyte he said you got to get closer to the hardware to write your native apps and he's referring to the iphone software app using Swift and xcode to the hardware so in storage look different how does the software piece take advantage of the hardware and is that built-in is an obstacle the customer because we're seeing this notion of okay take care of it take advantage of the hardware so what was how do you reconcile the we've done some very strong things there so let's take for example our spectrum virtualized software spectrum virtualize allows enterprise class data services across heterogeneous storage environments hours our competitors and anything that's white box over 300 arrays we have taken the spectrum virtualized platform and integrate it into our v nine thousand flash systems all-flash array into our mid tier storwize v7000 and our mid tier storwize v5000 which we just launched last week three new configurations we also have the sand volume controller but what we've done is integrate that spectrum virtualized software which rides a virtual back end of all storage not just our own provides a single way to replicate a single way to snapshot transparent block migration on the fly and integrate that right into flash systems and storwize as a software comes as a hard annick Stauffer comes with it exactly it's built into the size of Jeff managed as a code or estructuras code like an apple programa billion native app to the iphone what does that develop or doing with you guys is it through that software layer or how they could be right i mean the key thing when you look from a DevOps perspective they want to quickly be able to provision storage okay and with things like all the spectrum family and with the gooeys we've implemented into our store wise our XIV and all of our storage products it's very easy to deploy storage you can do it in minutes so whether the DevOps guy does or where the deadlock flight calls the storage guy the bottom line is they can get the storage up and running in a virtual environment a containerized environment in a matter of minutes and from a DevOps perspective that's what they want so we're able to meet the needs of the DevOps guy but also the traditional storage vendor as well don't get one last question for me for the henna we've run out of time they might have one more but I want to get your take on this because it's really been an interesting industry chess game with VCE and VMware and EMC doing the hyper converged x4 star calling it this hyper conversion without Cisco right this is because no longer you mentioned you in partnership with Cisco so VCC and bx rails was talked about last week what's going on with VCE is it still going to be around you see you're taking multiple forms is the increased breadth of solution is going to be multi-vendor what's your in it what you're taking on so you were at IBM cell you have relationship with cisco has that how does that what a customer's deal and what does the customer do because they're like okay who do I so I think there's a couple things that customers to look at first of all there's going to be a transformation VCE as it was originally constructed a partnership with cisco EMC and VMware will not exist after the acquisition this is my theory what will happen this distinctive sorry Cisco is go in there's no luck involved so all happen is those Cisco servers will be transitioned now and dell servers will be tradition did it's exactly what's going to happen so cisco is aware of this and cisco has been engaging with other partners like i mentioned the vs. tak had the best first year of any converged infrastructure in the history within its first year why well in the middle of last year what happened Dell an EMC an announced a merger so a lot of the business partners a lot of the end users there's cause for concern and EMC is already taken Cisco out of a number of configurations and there's a number of things for an end-user to think about one look at the development budgets what was the EMC development budget what's the dell development budget and substantially lower EMC did an outstanding job of acquiring startups with the debt load that's been written about publicly not just in the storage fresh but really in the financial press will be able to afford to buy a bunch of cool startups like EMC used to do the old days hard to say an EMC well I thought of stata domain was a great acquisition for uniting isilon same thing will they be able to continue to do that and like IBM EMC has a pretty good reputation for support and service that's not really reputation of the guys in Austin their reputation is cost-effective rapid delivery not necessarily the best important service the enterprise side people looking for that enterprise-class important service so those the questions that a customer needs to ask at the end user level where a channel partner use a civ as this merger goes for how's it going to impact the roadmap for the future the development expense my support capability those are things that have different models in those two companies so being should see how it pans out unfortunately we're out of time because we could do a whole cube second just on that area thanks for coming by give you the last word what does the digital transformation for the customer of IBM the buyer when they talked to you in the elevator and they say hey what's the storage angle on this digital treasure where the stores fit into my digital transformation what's the what's the bumper sticker what's the value proposition well the key thing digital transformation is a different sort of data it's been data for years and years and years data has to sit on storage the better the storage is your better the digital environment is the faster it is things like flash systems or our spectrum scale for cognitive the better that date is going to be so the digital era is powered by storage underneath it's like the foundation of a home good foundation great home good foundation great digital data great foundation the cube day one here more foundational coverage tomorrow the cube conversation will continue tomorrow day two we had more interviews today but tomorrow a lot of big names the biggest names in tech most powerful people here IBM interconnect is the cube we right back with more coverage here on day ones wrap up after the short break