from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation you know for years marketers marketers have been pushing for more digital especially with their big conferences I heard forward-thinking CMO say the war will be won in digital but the sales teams love the belly-to-belly interaction so every year once or even sometimes more often big corporations have hosted gatherings of thousands or even tens of thousands of attendees these events were like rock concerts they had DJs in the hallway thumping music giant screens beautiful pitches highly produced videos thing a technical breakouts Food lines private dinners etc all come on it culminating in a customer appreciation event with a big-name band physical events are expensive but they generate tons of leads for the host companies and their partner ecosystems well then BOOM coronavirus hits and the marketing teams got what they wished for right overnight virtual events became a mandate if you don't have a solution you were in big trouble because your leads from these large events just dried up hello everyone this is Dave Allen day and welcome to this week's cube insights powered by ETR ETR is entering its quiet period and I won't be able to share any new data for a couple of weeks so rather than look back at the April survey in this breaking analysis we thought we'd take a pause and really talk about the virtual event landscape and just a few of the things that we've learned in the past 120 days now this isn't meant to be an exhaustive list but we do want to call out a few important items that we see is critical in this new digital world in the isolation economy every company scrambled they took one of three paths first companies either postpone their events to buy some time think like Dell technology world Google cloud next cube convey my MIT CBO event etc or to some companies flat-out canceled their events for the year until next year like snowflake and uipath forth number three they scrambled to deploy a virtual event and they went forward IBM think did this HPE discover Susac on AWS summits docker convey Monde a peggle world Vertica big data conference octane sa P sapphire and hundreds of others pushed forward so when this braking analysis I want to share some data from the cube what we've learned not only in the last hundred and twenty days but in ten years of doing events mostly physical and we want to share the new rules of events and event marketing and beyond so let's get right into it everyone knows events events have gone virtual and there are tons of people who could give you advice on approving your digital events including us and and I will in this segment but the first thing that everyone found out is they're going to attract far more people online with a free virtual event than they do with a paid physical event so removing time timing in the expensive travel dramatically increases the participation Tam the total available market here's a tweet from docker CEO Scott Johnson he says that he's looking forward to welcoming 50,000 people to his event this is based on registration data somewhere around 30,000 people logged into the live event so docker got 60% of the pre event registrants to actually log in which is outstanding but there's a lot more to this story I'll share some other stats that are worth mentioning by the way I got permission from docker to to share these numbers not surprising because the event was it was a huge success for such a small company in the end they got nearly 83,000 registrations and they continue to come in weeks after the event which was held in late May now marketers generally will cite 2 to 3 minutes as a respect-- respectable time on site for a web property docker logged in users averaged almost four and a half minutes on site that's the average the bell curve sauce superfans like this guy who was binge watching so this brings me to rule number one it's actually really easy to get people to sign up for free online events but it's not so easy to keep them there now I could talk all day about what docker did right and I'm gonna bring some examples in during this except this segment but the one thing docker did was they did a call for papers or a call for sessions and that's a lot of work but if you look at the docket on speaker list the content is all community driven not all but mostly community driven talker had to break some eggs and reject some folks but it also had a sponsor track so it gave folks another avenue to participate so big success for docker they definitely did it right which brings us to new rule number two attention is precious you got to create high-quality content and realize that you have much less time with participants than if they were in person now unfortunately the doctor docker example is a bit of an outlier it hasn't always been this pretty remember that scene in the social network the movie when a duardo pulled the funding on the servers just to get marks attention remember how Jesse Eisenberg the actor who played Zuckerberg reacted everybody else we don't crash ever if the server's are down for even a day our entire reputation is irreversibly destroyed the whole point well some of the big tech companies crashed their servers and they say there's no such thing as bad press but look at look what happened to s AP and s AP apologized publicly and its CEO told people that they made a mistake in outsourcing their event platform so this brings us to new rule number three don't crash now I come back to Dhaka Khan for a second here's a tweet from a developer who shared the network traffic profile of his network before and during docker con you can see no glitches I mean I don't mean to pick on sa P they they owned the problem and look s AP had a huge attention attendance at its digital event more than 200,000 people and over a million views so Wow you'll kill me with that problem but it underscores the importance of scaling and s AP you have to say was not alone there have been lots of fails from much smaller events here's an example that was really frustrating you try to log in at 7:59 but the event doesn't start until 8:00 sharp really come on back in 60 seconds and in another example there was a slide failure I mean many of these virtual events are glorified webinars so if you're going to rely on slide where make sure the slides will render its scale you maybe embed them into the video you know but at least this company had a back-up plan here's another example and I've redacted the email because I'm not here to throw anyone under the bus well you know kind of but but no reason to name names you know who they are but in this case an old legacy webinar platform failed and they had to move to WebEx and again at least there was a back-up plan so you know it's been tough in a lot of these cases here's a tweet from Jason Reed it kind of summed sums it up now what does he mean by vendors are not getting the job done not enough creativity well not only were platforms failing they weren't performing adequately but the virtual experience is leaving many users unenthused they're they're just one alt-tab away from something better if the virtual event fails to engage them so new rule number four is virtual events that look like webinars actually our webinar webinars I mean in fairness you know the industry had to pivot with no notice but this is why I always tell people start with the outcome that you want and work backwards that'll inform you as to the content strategy the new roles you need to assign and make no mistakes there are new rules you know there's no site inspection virtual and then you got to figure out what you want to use your experience to be there's a whole lot to figure out and this next next one is a bit of a throwaway because yeah it's so obvious and everyone talks about it but I want to bring it up because it's important because I'm amazed at how many virtual event speakers really haven't thought through their setup you can look good you know or at least less bad get those things called books and raise up the laptop figure out some better audio your better yet get a good kit send it to their home with a nice camera and a solid mic maybe you know a clearer IFB comms for the ear spend some money to look good just as you might go and buy a nice outfit even if you're a developer put on a clean t-shirt so rule number five don't cheap out on production value get your guests a good set up and coach them up it doesn't have to be over the top no just a bit thought out okay one of the biggest mistakes I've seen is event organisers they become enamored with a platform and the features of that platform that really don't support their objectives kind of feature creep or they have so many competing objectives and masters that they're serving that they lose sight of the user experience and then the event becomes a buffet of unused features rather than a buffet of engaging content now many have told me that Dave these virtual events are too long there's too much content now I don't necessarily agree I really think if you have something to say you should say it as long as you do it right and you keep people engaged so I want to talk a little bit about a to of the meteor events that we attended one was octane twenty20 hosted by octo the identity management security player and then IBM think 2020 they called it the the think digital event experience and they both had multi day events with lots of content they both organized sessions by topic and made it pretty easy to find stuff and all assessing sessions had a reasonably consistent look and feel to them which kind of helped the production value IBM had content organized and categorized which made things easy to find and they both had good search and with IBM you could go directly from the list of topics right into the videos which I really liked very easy and intuitive and as you can see here in this octane video they had a nice and very ambitious agenda that was really quite well organized and things were pretty easy to find as you can see with this crisp filtering on the left hand side and in really nice search but one of the things that has been frustrating with most of the events that I've watched is you can't get to the sessions directly from the agenda you got to go back out for some linear path and find the content and it's somewhat confusing so I want to come back to the docker count example because I think there were two things that I found interesting and useful with docker con you know this got George nailed it when he said this is how you display a virtual conference what's relevant about this picture is you have multiple simultaneous sessions running live and concurrently and you can pop in and out of them you can easily see the sessions and this tile and there's a red line this linear clock that's running in real time to show you where you are in the event agenda versus in a time of day so I felt like with docker that as a user user you're really connected to the event you come to the site and there's a hero video very easy to find the content and in fact you can't miss it it's not a sales pitch to get to the content and then I really liked what what George change was talking about in terms of the agenda and the tile layout you can see they ran simultaneous sessions and at one point up to seven at once and they gave their sponsors a track on the agenda which is very easy to navigate but what I really like as well is when you click on a tile it takes you directly to the session video and you can see the chat which docker preserved in the PO event mode and you have this easy-to-follow agenda and again you can go directly to the session video and in the chat from the agenda so many paths to find the content I mean something so simple is navigating directly from the agenda to the session most events haven't done that they make you back out and then what I call this linear manner and then go forward and find the sessions that you want and then dive in now maybe they're trying to simulate walking to a session in a Las Vegas Convention Center because it takes about that long to figure out where most of these events in these sessions live so rule number six is make it easy to discover and consume content sounds so simple why is it not happening in most events okay I'm running out of time so I want to encapsulate a number of items in one idea that we talk about all the time at the cube I ran a little survey of the day and someone asked does it really make sense to cram educational content product content partner content customer content rally content and leadership content into the constrain confines of an arbitrary one or two-day window I thought that was an interesting comment now it doesn't necessarily mean shorten up the virtual event which a lot of people think should happen people complain that these things are too long well let me leave you with this it's actually not just about events what do I mean by that well you know how everyone says that all companies are software companies or every company is a SAS company well guess what we believe that every company is a media company in 2004 at the low point of its reputation Microsoft launched channel 9 it was named after the United Airlines channel 9 that lets you listen in to the pilots and their unfiltered conversations kind of cool Microsoft understood that having an authentic voice with which to communicate to developers and serve its community was a smart thing to do and that is the key point channel 9 is about community it's not about audience metrics or lead generation both important things but Microsoft they launched this site understanding the leverage it gets out of its community of developers and instead of treating them like leads they created a site to help developers learn so rule number seven is get your best media mojo on one of the biggest failures I see with physical events and it's clearly carrying over to digital is the failure to optimize the post-event opportunity and experience so just like physical events when the event is over I see companies and their employees they're so burnt out after a virtual event because they feel like they've just given birth and what do they do now after the event they take some time off they got to recharge and when they come back they're swamped and so they're on to the next project it might be another event it might be a webinar series or some regional summits or whatever now it's interesting it feels like all tech companies talk about these days is breaking down silos but most of these parent and child events are disconnected silos sure maybe the data around the events is consolidated into a marketing cloud maybe so that you can nurture leads okay that's fine but what about the community kovat has given us a great opportunity to reimagine how we serve communities and one thing I'm certain about is that physical events they're going to come back at some point in some form but when they do there's gonna be a stronger digital component attached to them hybrids will emerge and some will serve communities better than others and in our opinion the ones that do the best job in digital and serving their communities are gonna win the marketing Wars so ask yourself how are you serving your community are you serving the best way that you can is a lead conversion your number one metric that's okay there's nothing wrong with that but how are your content consumption metrics looking what are you measuring what does your Arc of content look like what's your content and an organic media strategy what does your media stack look like media stack you ask what do you mean Dave well you nailed physical and then you were forced to do virtual overnight eventually there's going to be a hybrid that emerges so there's physical at the bottom and then there's a virtual layer and then you get this hybrid layer at some point on top of that at the very top of the stack you got apps social media you got corporate content you got TV like channel 9 you have video library's website you have tools for agile media you got media production and distribution tooling remember customers will be entering from any one of these layers of that stack and they'll be looking to you for guidance inspiration learning vision product knowledge how to's etc and you'd be delivering that primarily through content so your media stack should be designed to serve your community events software yeah sure but it's much more than that we believe that this stack will emerge not as a monolithic beast but rather as a set of scalable cloud services and api's think of paths for media that you can skin yes of course but also one that you can control add value to integrate with other platforms and fit your business as your community demands and remember new roles are emerging as a result of this pandemic and the pivot to digital the things are different really mostly from from most physical events is that it's very important to think about these roles and one of the important roles is this designer or UX developer that can actually do some coding and API integration think of it as a DevOps for digital organizations that's emerging organizations like yours will want self-service and sometimes out-of-the-box functionality and features for sure no question but we believe that as a media producer you will want to customize your media experience for your community and this work will require new skills that you haven't really prioritized in the past what what do you think what's your vision as to how this will all play out and unfold do you buy that all companies must become media companies or at least media savvy not in the sense of Corp comms but really as an organic media producer tweet me at devonté or email me at David Galante at Silicon angle comm or comment on my LinkedIn post who would react next week with some data from et our survey sphere thanks for watching this wiki bond cube insights powered by ETR this is Dave Volante we'll see you next time [Music]

welcome back to the queue we are live at peer storage accelerate 2089 Lisa Martin with Dave Allen say we are here in San Francisco at the Bill Graham Civic Auditorium which is why we're sporting concert t-shirts through the WHO and the Quan Rocha [Music] I really view technology as being a three-legged store compute networking and storage and storage didn't keep up at the same time that data was exploding we spent a good chunk of time troubleshooting issues directly related to storage before whether it was storage creep where we had too much data versus of the capacity of the array or the input-output problems in terms of i/o latency those types of issues we don't see any of that anymore pure has always said we're gonna make flash cheaper than or as cheap as spinning disk and we're gonna drive performance and we're gonna differentiate from the market and we're gonna be first right now only about 1/2 of 1% of the data that companies have can even be analyzed because it's being kept in cold storage and at pure we believe in no cold storage you know it's all gonna be hot it's all got to be available able to be analyzed able to be mined and they talked about going all-in on shared accelerated storage it's gonna be multi cloud and so you wanted to provide an architecture a platform that removed the trade-offs of the bottlenecks while also being open and allowing customers to take advantage of container technologies and platform as-a-service technology was the CIO I would imagine you don't want to wake up every day and think about storage that's all without respect to our friends at pure storage should be self-driving infrastructure should be self-driving these are not things that you know in a boardroom people care about but they care about is how can they can change their business and have a competitive edge one of the things that really impresses me is their focus on sharing multiple workloads in one place we get a lot of virtual servers running on you know relatively small amount of storage we went from 40 you of old-school spinning disk lots of complexity and cabling administration down to 2/3 you m20 arrays they're more heat tolerant I have two power cables in each and two network cables so complexity is gone they're providing the pickaxes in the shovels and the basic tools but the real challenges of AI are where do I apply it how do i infuse it into applications how do I get ROI and then how do I actually have a data model where I can apply machine intelligence if you understand the way machine learning operates it has to practice on tens of thousands millions of samples it could take all year or it can take hours and what wanted to do is take minutes or hours those things will start to identify patterns and genomic sequences that humans aren't you know finding with their typical approaches our genomic platforms built up to the point where they have enough sequences in them to do that sort of analysis and you need you know big compute fast storage to do that you can add capacity and and upgrade your software and move to the next generation non-disruptive Lee why is this a big deal three decades you would have to actually shut down you know the storage array have planned downtime to do an upgrade so pure solve that problem with its evergreen model and its software capability every three years they swap out your controller as part of your support and maintenance agreement which is you know huge for us because we don't have a lot of money we have budget is very small for us it you have a green model was brilliant for us but simplicity was critical I can't just keep adding stuff to look after a new technology you need to look after itself no uplifts on pricing for nvme so everybody's gonna follow that the Evergreen model they can do these things and claim these things as we were first of course we know David for you were first to make the call but but pure was right there with you we've always wanted to be the pioneers you know we always wanted to be the innovators we always wanted to challenge convention the other piece that they've done really well is marketing and marketing is how companies differentiate today you've seen that sea of orange that's here it's a bit infectious people are become dedicated you know not to an entity they become it dedicated to a cause enabling so many 4,800 plus customers globally to really transform their businesses and that's one of the things that I think is cool about this event is not just the plethora of orange everywhere but the pride and the value of what they're delivering to their customers gratulations thank you we're just getting started and we really appreciate all the work you guys do so thanks for being here thanks so much David for joining me all day who to my awesome David thanks for joining us on the wrap we appreciate you watching the cube from pure storage accelerate 2018 I'm Lisa Martin for Dave and David thanks for watching [Music]

from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape digital transformation is the operative watchword today but what does it mean from a cxos standpoint and how do you take those perspectives and bring them into an organization to affect its strategy and turn that strategy into action hi everybody this is Dave Allen say welcome to this cube conversations of CXO perspectives I'm here with Paul Lewis who's CTO of Americas from Hitachi ventaja Paul thanks for coming down from Toronto thanks very much I appreciate always great to be in Boston okay let's start with you in your background you're a CIO by trade been with Hitachi and now Hitachi Bonterra for a few years but tell us about your background yeah so I've been here about five years running the office of the CTO which is a highly vertical based organization prior to that I was a CIO CTO of a financial services organization for about 17 years operating technology sort of being a practitioner of what it means to create applications and operate IT and implement projects and worry about you know the blinking lights in a data centre so it's a very different world being on the manufacturer side but getting to see different verticals different industries and applying that it's been intellectually appealing so something I want to come back to exceed you were CIO and CTO which is not uncommon but often times that you know CIO is you know more in a strategy or a pure business role you had both so we'll come back to that when we talk about you know organizational issues but let's start with digital transformation as I said at the top it's the buzz word you go to every conference digital transformation you must you you must not get eaten by your competitors you must be the disrupter etc etc but what does digital transfer transformation mean to you as a CTO CIO from a customer's perspective so I see it much more as being having a customer perspective when you look at your business strategy so in as much as people say sort of customer 360 or you're taking a customer centric approach it's not really that it's it's saying how do I look at my business and evaluate it from the customers point of view so you know the three aspects of digital transformation is operational efficiency new business models and of course the new customer experience so operational efficiency says you if I'm doing a whole bunch of things or to deliver value a product or service but the only thing the customer sees is what's on the shelf and what's available to purchase then everything I do behind the scenes logistics is up for grabs maybe I do it's not an azimuth amia what's on the shelf so maybe somebody else can do it make that efficiency in terms of new business models if all my competitors especially those new digital disruptors have a new way of engaging with the client and the payment maybe it's a credit card versus cash you know capital versus op X maybe I need to diversify my portfolio to be equivalent to that to find customers that I'm currently not getting and then finally new customer experiences this is the customer point of view to say the customer wants to buy from you in a certain way so you better start to sell your products and service in the way to which they want to buy just because your products on the Shelf and the customer wants to buy from you online means you have to also be online and if your customer wants to buy from your competitor your product should be at your competitor right so you've got to think about how the customer buys not just how you sell so all that sort of business strategy so we could poke that a little bit so in a positive way so when you go back to pre-internet days the brand's had all the power right the retail companies knew what the pricing was you know the the the spreads in the stock market were really large we had Nasdaq on last week at Pentaho world all we talked about is how they're becoming basically a technology company to sell their services to others if they are transforming digitally so my my point and question to you is isn't a lot of digital transformation about how you use data to compete and actually maybe regain some of that you know market power or or or at least catch up to where the consumers are cuz the consumers today have all the advantage don't they well data certainly is a value producer versus sort of a side effect that it used to be but it is fair that the consumers have much more buying power than they have before and that's that's in many ways because of those disruptors those disruptors are creating new options for consumers and option and now consumers have that choice in fact the cut the consumerization as a whole as changing how consumers even perceive companies right so if I can download an app and if I don't like it an hour I can delete that up and download they can also choose your product in the same way they're gonna buy your product they don't like it they're gonna throw it away and buy somebody else's product they now have the ultimate choice to do anything they wish buy from anybody they want to locally or globally the globalization concept is changing the way you need to distribute your products and services to yes so the power actually in influence has gone to the consumer and it's only data that you can produce and you can consume externally that'll give you that insight to determine where I need to put my puck right where I need to hockey analogy where I need to ensure that I need to have my product and service and available before the customer wants it or even perceived to want it versus sort of waiting behind the scenes so the big difference between let's say being digital versus non digital is the data yeah but what does that mean to a CTO and a CIO so okay data that's the big difference not what I would say let's take it from the top so if the CEO now is focused on creating more value quicker they probably hire a chief digital officer that's focused on those three pillars if the organization is not that big they might have the CIO perform that function that means the CIO is less about order-taking and more about value creation the only way they're gonna be of value creators if they move from an application centric world of IT to a data centric world of IT and I use an analogy of applications infrastructure and applications I'm gonna go through that way yeah so here's your more about there's the difference between infrastructure applications and data if I look at infrastructure at lasts let's say three to five years I might be able to sweat it out any longer but if I do I'm gonna have performance scalability availability problems if I add more infrastructure to infrastructure it's gonna cost me more money I need more space I need more power and more rack right same kind of true on the application side if I that the last maybe seven to nine years maybe sweated out any longer I have seen performance of scalability problems if I add more applications to applications I have modernization as simplification and rationalization problems and it's not the number of applications that matter it's that I have the same function point recreated across five to ten different applications and five different 10 teams worrying about it same cost issue and and and data quality issue absolutely but data is in fact the opposite to that data is valuable to me from the point that I created the point that I deleted if I ever delete it in fact seeing data change over time is more valuable than seeing it static in its initial State if I add more data to data the bigger potential pot of gold I have and the Nuggets that I can find the more precise my algorithms become the more insightful I'll be able to create from a client's perspective for a firm product or transaction perspective in fact it is the value creator for IT versus the side effect that it's always been so if you remove the centricity from the CIO form application which is red green yellow projects to data being the value creator you start to be a major player in the digital transformation organization instead of sort of being the order taker project so there was a lot of things you said in there that made a lot of sense to me let me start with sort of the infrastructure that a lot of CIOs have spend have to spend their time keeping the lights on and that's not a value producing activity we can agree there were in still are many CIOs that sir were application-centric as you were saying and they would add a lot of value through those applications they have you know sharp application development team they could differentiate through those applications but increasingly when I talk to CIOs you see more sass coming into play and they're trying to avoid custom modifications so when I ask them well how do you differentiate the differentiation is the data the data and the IP that we build around that data the way that data helps us monetize whether it's directly or indirectly is our new differentiator but that's a big shift isn't it it's a large shift because they're they're completely application centric all their projects are about versioning of applications all their infrastructures creating highly available for applications so the big shift is say how do I create an organization that's data centric as a whole how to create a chief data officer and that data officer is elevated to be the peer of in many ways the VP of application the VP of M their organization has all the data centric responsibilities they have storage and protection and governance and analytics and stewardship they are the measured by the value they produce for the organization whether that's operational efficiency or revenue versus the projects to which they deliver on and that way the output of IT is not just projects it's not just spend but it's in fact revenue or profit let's talk about the organizational roles I said I wanted to come back to that and I do I you know you know the jokes CI o stands for career is over I was interviewing John haladki who was the CIO of Beth Israel Hospital a while back at MIT one of the shows we do and he was not optimistic about the role of the CIO Easter Day could disappear and the conversation it was a CDO conference chief data officer conference the conversation was well CIOs need to pick a path and you've got some experience here they either have to become CTOs or they have to become chief data officer x' now that was maybe two years ago I think the narrative has changed a little bit and people have calmed down about that but you've seen this these roles emerge chief data officer chief digital officer we just talked about how digital equals data so I actually see those two roles as you know more closely you know aligned or not depending on on the user but and the CIOs role I think you know and becoming more clear as as a business and strategy person but I wonder if you could weigh in as a former CI o-- / CTO current CTO you talk to a lot of customers how do you see organizations you know what's the right regime right regimes not the right that's not the proper term but what's the regime's that you see emerging I think the big shift determining what those organization roles are from standardization to verse2 diversification so it's less about single provider single process single implementation having a single set of IT services for all the potential workloads and more like what does the business and specific the line of business require and then how am I going to support that so it's now I'm going to have internal services I'm gonna have a private cloud I'm gonna use public cloud offerings I'm gonna have managed services I'm gonna go to third-party offerings I'm going to use a bunch of sass I'm going to consume a lot of cloud versions of ERP type products and that's the complexity of my environment and if that's the complexity of my environment that's the complexity and change of the shift of the roles the CIO now has to be less about project delivery in other words creating applications and more about managing an ecosystem of diverse deployments they have to manage relationships with public clouds they have to manage and create business offerings with the CFO and the CEO and the chief corporate officer in terms of creating new acquisitions or mergers right the CTO is focused on creating a highly secure framework of delivery so that not only the IT shop can deliver on value but all that shadow IT that's happening outs external to greet create a platform and a secure platform for them to deliver because the reality is of every hundred dollars of the CIO has there's $250 out in the business so why don't you make it 350 million it's $350 IT budget instead of 101 you do that by providing platforms and so therefore the CIO is part of the business leader versus being the IT leader the CTO is looking at platforms and therefore the chief data officer becomes the value producer they're the one focused almost entirely on creating revenue or creating so much efficiency in the organization that the profit margins dramatically increase so now business perspective business perspective business perspective and everything underlying is ecosystem it's not everything that I built it's things that I consume externally Wow okay so again a lot of things you said in there that make some sense that I want to better understand so the chief data officer as you described it sort of job one for her or him is to is understand how to essentially make money with data right all right and and again I don't want to say go sell your data because that's not always the answer but you're saying draw you can drive efficiencies and that the simplest form you can cut cost you can increase revenue or you can make better decisions right that's the whole champion in Channel your concept you can have a better understanding of your clients or your products and more importantly have a better understanding of clients - which currently don't purchase your products right how do I look at internal information and compared to external data to say oh how are those other consumers that are going to other my other disruptors what are they purchasing and why can't I produce something that's like or at least competitive in that world so you started off this conversation with three things operational efficiency new business models and the customer experience so there's certainly the chief data officer as you just mentioned can affect operational efficiency ways to cut cost you know through data and I guess they touch new business models as well hey if we're gonna monetize our data directly or a partner or bring in other data and you know did we talk about Nasdaq before that's a completely new before even working with the finance office to say if I were to make changes to my business here would be the net financial effect right okay now the customer experience is that the domain of the chief digital officer really more in that customer facing still still a combination but I would agree that the chief digital officer focusing on creating to matching the selling experience with the buy experience and that might be new mobile interfaces this might be creating omni-channel experiences or expanding upon that to say how do we ensure that we have an integrated channel experience it's not just that they can bribe you know a shoe and the website a shoe in a store it's that they can go online look at the shoes go to the store have those shoes be brought down automatically as soon as I walked in and then choose whether I buy it now take it home buy it online have it delivered to my house before I get home or it's $5 cheaper five stores down right so that experience will be chief digital officer but all of that requires data one can't deliver on all that unless they have a a deep understanding of their products a deep understanding of how the transactions the deep understanding how clients buy all of that experience data based whether it's mobile or human created or business data all combined together in fact that's actually a great jump into the sort of the IOT world the machine or the physical world where I now need to appreciate data that's happening the store in the kiosk and all of that experience data needs to be brought back and combined with the financial data to really appreciate with the transition of that digital experience money so those those roles do really span you know your three areas I can see just thinking here and hearing you speak the chief digital officer might go to the chief data officer and say hey I need this data so I can create a customer experience that gives us competitive advantage and I need that data to be accessible of high quality I maybe need you pulling some other data points exact I need real-time I need a blended I need it integrated with my ERP make it so exactly exactly that can't be too hard and then then that involves the CIO to actually provide the infrastructure and whatever SAS or internal execution but find a means to solve the problem and it's not gonna always be built it's likely gonna be consumed it's likely gonna be buy it's likely gonna be partner and so that's part of that historically it was the application kind of tail wagging the dog now it's the data that was really sort of the driver of the bus which is why you really need what we referred to as a data strategy for digital transformation creating a set of services or capabilities that are focused much more on data than IT like we're used to saying IT services make sure you have computer and storage and networking available to you but now it's saying you know what you have business data let's make sure you have services like store and manage and govern you have human sets of data that's blend and correlate and match and then you have machine data well that's much more about grid and point and and IOT related correlations and need to bring all that together as a series of data servers to which IT provides to the chief digital officer okay you talked about the edge before how do you see I mean we're seeing the pendulum now swing back from centralized you know cloud sort of decentralized this notion of edge to cloud is probably not gonna happen it's gonna be some stuff in between but how do you see let's follow the data how do you see in Itachi and Hitachi event ARRA has obviously a perspective on this you guys are an industrial you know giant how what's Itachi ventajas perspective on how the edge will evolve generally but specifically how the data model and the data flow will change so we see an Enterprise Information model has having sort of four legs to this table right and that one should keep data where it is because sometimes it's physically impossible to move data from where it was created to where it needs to be for analytics a train is example and we produce you know a high speed train that could be four or five seven terabytes per day well that's almost physically impossible to move to a server to be able to deal with right and when you look at larger machines like nuclear power plants and well treatment centers all of a sudden it's almost impossible so this four legs are you know you still need an enterprise data warehouse you still need a means to collect your business data and produce your thousands of Mis reports they actually run the business that is a ten million dollar machine - what you've created you then need a you need a content store an object store because you have all this human unstructured data - which in fairness a good portion of what might be dark a good portion of it like your twenty seven versions of your PowerPoint simply won't have any production nuggets of gold right but you still have lots of voice and video records and unstructured files that that could contain nuggets then you have your your Big Data Lake where you want to put your information that you want to do perform an analytics on right.you it's it's you don't want to worry about the data model you don't want to worry about how you're structuring the information until you actually do analytics on it and then finally the edge keeping data where it is have a federated distributed model and only when I want to do and perform specific analytics do I go collect that information bring it to the core perform the analytics produce visualization result we kind of refer to this as a as a data refinement mechanism where I'm searching for the appropriate information using those mathematical statistical algorithms in order to create you know visualizations that we can blend right back into the original sources so a lot of data will be created at the edge and and it'll stay at the edge and in fact a lot of data probably won't be even be persisted at the edge it'll be may be acted on thrown away and you'll save what you need to save is that exactly and you and you could say that there's going to be data that's at the edge that persist or not you'll might have data which might be referred to as the fog where you will collect it at the CEO or at the PIO right and you one or the pop and you want to be able to perform analytics with a little bit more compute you might bring some of that data centrally because you want to combine and blend with other information and then you might actually put it into the cloud because you want to combine other organizational related data and do very complex highly mathematical problem sets so we almost see it from sort of edge to outcome where there's edge processing fog processing core processing and then cloud processing okay so let's unpack that a little bit in the time we have remaining so you got the at least the three maybe even a four maybe it's a three in a three a tier model edge that that second tier gateway right aggregation point where you're doing some analytics and then the third tier and I guess maybe the fourth tier let's call it your own cloud private cloud or maybe the public cloud where you're doing the heavy modeling right and the training of the models and then maybe your ship in the model back down that's forever because it's now modifying the machine potentially or the machines understanding of data and then you're collecting new data based on that new algorithm to which you're now pushing out all right we don't have time but that just whole totally changes the whole security paradigm as well absolutely no had well Paul thanks very much for for coming on the cube and having this cube conversation really excellent work that you're doing congratulations and keep it up thank you very much you're welcome all right thanks for watching everybody this is Dave Volante and this is cube conversations we'll see you next time