>>From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from the cube and E T R. This is breaking analysis with Dave Valante. >>Making technology predictions in 2022 was tricky business, especially if you were projecting the performance of markets or identifying I P O prospects and making binary forecast on data AI and the macro spending climate and other related topics in enterprise tech 2022, of course was characterized by a seesaw economy where central banks were restructuring their balance sheets. The war on Ukraine fueled inflation supply chains were a mess. And the unintended consequences of of forced march to digital and the acceleration still being sorted out. Hello and welcome to this week's weekly on Cube Insights powered by E T R. In this breaking analysis, we continue our annual tradition of transparently grading last year's enterprise tech predictions. And you may or may not agree with our self grading system, but look, we're gonna give you the data and you can draw your own conclusions and tell you what, tell us what you think. >>All right, let's get right to it. So our first prediction was tech spending increases by 8% in 2022. And as we exited 2021 CIOs, they were optimistic about their digital transformation plans. You know, they rushed to make changes to their business and were eager to sharpen their focus and continue to iterate on their digital business models and plug the holes that they, the, in the learnings that they had. And so we predicted that 8% rise in enterprise tech spending, which looked pretty good until Ukraine and the Fed decided that, you know, had to rush and make up for lost time. We kind of nailed the momentum in the energy sector, but we can't give ourselves too much credit for that layup. And as of October, Gartner had it spending growing at just over 5%. I think it was 5.1%. So we're gonna take a C plus on this one and, and move on. >>Our next prediction was basically kind of a slow ground ball. The second base, if I have to be honest, but we felt it was important to highlight that security would remain front and center as the number one priority for organizations in 2022. As is our tradition, you know, we try to up the degree of difficulty by specifically identifying companies that are gonna benefit from these trends. So we highlighted some possible I P O candidates, which of course didn't pan out. S NQ was on our radar. The company had just had to do another raise and they recently took a valuation hit and it was a down round. They raised 196 million. So good chunk of cash, but, but not the i p O that we had predicted Aqua Securities focus on containers and cloud native. That was a trendy call and we thought maybe an M SS P or multiple managed security service providers like Arctic Wolf would I p o, but no way that was happening in the crummy market. >>Nonetheless, we think these types of companies, they're still faring well as the talent shortage in security remains really acute, particularly in the sort of mid-size and small businesses that often don't have a sock Lacework laid off 20% of its workforce in 2022. And CO C e o Dave Hatfield left the company. So that I p o didn't, didn't happen. It was probably too early for Lacework. Anyway, meanwhile you got Netscope, which we've cited as strong in the E T R data as particularly in the emerging technology survey. And then, you know, I lumia holding its own, you know, we never liked that 7 billion price tag that Okta paid for auth zero, but we loved the TAM expansion strategy to target developers beyond sort of Okta's enterprise strength. But we gotta take some points off of the failure thus far of, of Okta to really nail the integration and the go to market model with azero and build, you know, bring that into the, the, the core Okta. >>So the focus on endpoint security that was a winner in 2022 is CrowdStrike led that charge with others holding their own, not the least of which was Palo Alto Networks as it continued to expand beyond its core network security and firewall business, you know, through acquisition. So overall we're gonna give ourselves an A minus for this relatively easy call, but again, we had some specifics associated with it to make it a little tougher. And of course we're watching ve very closely this this coming year in 2023. The vendor consolidation trend. You know, according to a recent Palo Alto network survey with 1300 SecOps pros on average organizations have more than 30 tools to manage security tools. So this is a logical way to optimize cost consolidating vendors and consolidating redundant vendors. The E T R data shows that's clearly a trend that's on the upswing. >>Now moving on, a big theme of 2020 and 2021 of course was remote work and hybrid work and new ways to work and return to work. So we predicted in 2022 that hybrid work models would become the dominant protocol, which clearly is the case. We predicted that about 33% of the workforce would come back to the office in 2022 in September. The E T R data showed that figure was at 29%, but organizations expected that 32% would be in the office, you know, pretty much full-time by year end. That hasn't quite happened, but we were pretty close with the projection, so we're gonna take an A minus on this one. Now, supply chain disruption was another big theme that we felt would carry through 2022. And sure that sounds like another easy one, but as is our tradition, again we try to put some binary metrics around our predictions to put some meat in the bone, so to speak, and and allow us than you to say, okay, did it come true or not? >>So we had some data that we presented last year and supply chain issues impacting hardware spend. We said at the time, you can see this on the left hand side of this chart, the PC laptop demand would remain above pre covid levels, which would reverse a decade of year on year declines, which I think started in around 2011, 2012. Now, while demand is down this year pretty substantially relative to 2021, I D C has worldwide unit shipments for PCs at just over 300 million for 22. If you go back to 2019 and you're looking at around let's say 260 million units shipped globally, you know, roughly, so, you know, pretty good call there. Definitely much higher than pre covid levels. But so what you might be asking why the B, well, we projected that 30% of customers would replace security appliances with cloud-based services and that more than a third would replace their internal data center server and storage hardware with cloud services like 30 and 40% respectively. >>And we don't have explicit survey data on exactly these metrics, but anecdotally we see this happening in earnest. And we do have some data that we're showing here on cloud adoption from ET R'S October survey where the midpoint of workloads running in the cloud is around 34% and forecast, as you can see, to grow steadily over the next three years. So this, well look, this is not, we understand it's not a one-to-one correlation with our prediction, but it's a pretty good bet that we were right, but we gotta take some points off, we think for the lack of unequivocal proof. Cause again, we always strive to make our predictions in ways that can be measured as accurate or not. Is it binary? Did it happen, did it not? Kind of like an O K R and you know, we strive to provide data as proof and in this case it's a bit fuzzy. >>We have to admit that although we're pretty comfortable that the prediction was accurate. And look, when you make an hard forecast, sometimes you gotta pay the price. All right, next, we said in 2022 that the big four cloud players would generate 167 billion in IS and PaaS revenue combining for 38% market growth. And our current forecasts are shown here with a comparison to our January, 2022 figures. So coming into this year now where we are today, so currently we expect 162 billion in total revenue and a 33% growth rate. Still very healthy, but not on our mark. So we think a w s is gonna miss our predictions by about a billion dollars, not, you know, not bad for an 80 billion company. So they're not gonna hit that expectation though of getting really close to a hundred billion run rate. We thought they'd exit the year, you know, closer to, you know, 25 billion a quarter and we don't think they're gonna get there. >>Look, we pretty much nailed Azure even though our prediction W was was correct about g Google Cloud platform surpassing Alibaba, Alibaba, we way overestimated the performance of both of those companies. So we're gonna give ourselves a C plus here and we think, yeah, you might think it's a little bit harsh, we could argue for a B minus to the professor, but the misses on GCP and Alibaba we think warrant a a self penalty on this one. All right, let's move on to our prediction about Supercloud. We said it becomes a thing in 2022 and we think by many accounts it has, despite the naysayers, we're seeing clear evidence that the concept of a layer of value add that sits above and across clouds is taking shape. And on this slide we showed just some of the pickup in the industry. I mean one of the most interesting is CloudFlare, the biggest supercloud antagonist. >>Charles Fitzgerald even predicted that no vendor would ever use the term in their marketing. And that would be proof if that happened that Supercloud was a thing and he said it would never happen. Well CloudFlare has, and they launched their version of Supercloud at their developer week. Chris Miller of the register put out a Supercloud block diagram, something else that Charles Fitzgerald was, it was was pushing us for, which is rightly so, it was a good call on his part. And Chris Miller actually came up with one that's pretty good at David Linthicum also has produced a a a A block diagram, kind of similar, David uses the term metacloud and he uses the term supercloud kind of interchangeably to describe that trend. And so we we're aligned on that front. Brian Gracely has covered the concept on the popular cloud podcast. Berkeley launched the Sky computing initiative. >>You read through that white paper and many of the concepts highlighted in the Supercloud 3.0 community developed definition align with that. Walmart launched a platform with many of the supercloud salient attributes. So did Goldman Sachs, so did Capital One, so did nasdaq. So you know, sorry you can hate the term, but very clearly the evidence is gathering for the super cloud storm. We're gonna take an a plus on this one. Sorry, haters. Alright, let's talk about data mesh in our 21 predictions posts. We said that in the 2020s, 75% of large organizations are gonna re-architect their big data platforms. So kind of a decade long prediction. We don't like to do that always, but sometimes it's warranted. And because it was a longer term prediction, we, at the time in, in coming into 22 when we were evaluating our 21 predictions, we took a grade of incomplete because the sort of decade long or majority of the decade better part of the decade prediction. >>So last year, earlier this year, we said our number seven prediction was data mesh gains momentum in 22. But it's largely confined and narrow data problems with limited scope as you can see here with some of the key bullets. So there's a lot of discussion in the data community about data mesh and while there are an increasing number of examples, JP Morgan Chase, Intuit, H S P C, HelloFresh, and others that are completely rearchitecting parts of their data platform completely rearchitecting entire data platforms is non-trivial. There are organizational challenges, there're data, data ownership, debates, technical considerations, and in particular two of the four fundamental data mesh principles that the, the need for a self-service infrastructure and federated computational governance are challenging. Look, democratizing data and facilitating data sharing creates conflicts with regulatory requirements around data privacy. As such many organizations are being really selective with their data mesh implementations and hence our prediction of narrowing the scope of data mesh initiatives. >>I think that was right on J P M C is a good example of this, where you got a single group within a, within a division narrowly implementing the data mesh architecture. They're using a w s, they're using data lakes, they're using Amazon Glue, creating a catalog and a variety of other techniques to meet their objectives. They kind of automating data quality and it was pretty well thought out and interesting approach and I think it's gonna be made easier by some of the announcements that Amazon made at the recent, you know, reinvent, particularly trying to eliminate ET t l, better connections between Aurora and Redshift and, and, and better data sharing the data clean room. So a lot of that is gonna help. Of course, snowflake has been on this for a while now. Many other companies are facing, you know, limitations as we said here and this slide with their Hadoop data platforms. They need to do new, some new thinking around that to scale. HelloFresh is a really good example of this. Look, the bottom line is that organizations want to get more value from data and having a centralized, highly specialized teams that own the data problem, it's been a barrier and a blocker to success. The data mesh starts with organizational considerations as described in great detail by Ash Nair of Warner Brothers. So take a listen to this clip. >>Yeah, so when people think of Warner Brothers, you always think of like the movie studio, but we're more than that, right? I mean, you think of H B O, you think of t n t, you think of C N N. We have 30 plus brands in our portfolio and each have their own needs. So the, the idea of a data mesh really helps us because what we can do is we can federate access across the company so that, you know, CNN can work at their own pace. You know, when there's election season, they can ingest their own data and they don't have to, you know, bump up against, as an example, HBO if Game of Thrones is going on. >>So it's often the case that data mesh is in the eyes of the implementer. And while a company's implementation may not strictly adhere to Jamma Dani's vision of data mesh, and that's okay, the goal is to use data more effectively. And despite Gartner's attempts to deposition data mesh in favor of the somewhat confusing or frankly far more confusing data fabric concept that they stole from NetApp data mesh is taking hold in organizations globally today. So we're gonna take a B on this one. The prediction is shaping up the way we envision, but as we previously reported, it's gonna take some time. The better part of a decade in our view, new standards have to emerge to make this vision become reality and they'll come in the form of both open and de facto approaches. Okay, our eighth prediction last year focused on the face off between Snowflake and Databricks. >>And we realized this popular topic, and maybe one that's getting a little overplayed, but these are two companies that initially, you know, looked like they were shaping up as partners and they, by the way, they are still partnering in the field. But you go back a couple years ago, the idea of using an AW w s infrastructure, Databricks machine intelligence and applying that on top of Snowflake as a facile data warehouse, still very viable. But both of these companies, they have much larger ambitions. They got big total available markets to chase and large valuations that they have to justify. So what's happening is, as we've previously reported, each of these companies is moving toward the other firm's core domain and they're building out an ecosystem that'll be critical for their future. So as part of that effort, we said each is gonna become aggressive investors and maybe start doing some m and a and they have in various companies. >>And on this chart that we produced last year, we studied some of the companies that were targets and we've added some recent investments of both Snowflake and Databricks. As you can see, they've both, for example, invested in elation snowflake's, put money into Lacework, the Secur security firm, ThoughtSpot, which is trying to democratize data with ai. Collibra is a governance platform and you can see Databricks investments in data transformation with D B T labs, Matillion doing simplified business intelligence hunters. So that's, you know, they're security investment and so forth. So other than our thought that we'd see Databricks I p o last year, this prediction been pretty spot on. So we'll give ourselves an A on that one. Now observability has been a hot topic and we've been covering it for a while with our friends at E T R, particularly Eric Bradley. Our number nine prediction last year was basically that if you're not cloud native and observability, you are gonna be in big trouble. >>So everything guys gotta go cloud native. And that's clearly been the case. Splunk, the big player in the space has been transitioning to the cloud, hasn't always been pretty, as we reported, Datadog real momentum, the elk stack, that's open source model. You got new entrants that we've cited before, like observe, honeycomb, chaos search and others that we've, we've reported on, they're all born in the cloud. So we're gonna take another a on this one, admittedly, yeah, it's a re reasonably easy call, but you gotta have a few of those in the mix. Okay, our last prediction, our number 10 was around events. Something the cube knows a little bit about. We said that a new category of events would emerge as hybrid and that for the most part is happened. So that's gonna be the mainstay is what we said. That pure play virtual events are gonna give way to hi hybrid. >>And the narrative is that virtual only events are, you know, they're good for quick hits, but lousy replacements for in-person events. And you know that said, organizations of all shapes and sizes, they learn how to create better virtual content and support remote audiences during the pandemic. So when we set at pure play is gonna give way to hybrid, we said we, we i we implied or specific or specified that the physical event that v i p experience is going defined. That overall experience and those v i p events would create a little fomo, fear of, of missing out in a virtual component would overlay that serves an audience 10 x the size of the physical. We saw that really two really good examples. Red Hat Summit in Boston, small event, couple thousand people served tens of thousands, you know, online. Second was Google Cloud next v i p event in, in New York City. >>Everything else was, was, was, was virtual. You know, even examples of our prediction of metaverse like immersion have popped up and, and and, and you know, other companies are doing roadshow as we predicted like a lot of companies are doing it. You're seeing that as a major trend where organizations are going with their sales teams out into the regions and doing a little belly to belly action as opposed to the big giant event. That's a definitely a, a trend that we're seeing. So in reviewing this prediction, the grade we gave ourselves is, you know, maybe a bit unfair, it should be, you could argue for a higher grade, but the, but the organization still haven't figured it out. They have hybrid experiences but they generally do a really poor job of leveraging the afterglow and of event of an event. It still tends to be one and done, let's move on to the next event or the next city. >>Let the sales team pick up the pieces if they were paying attention. So because of that, we're only taking a B plus on this one. Okay, so that's the review of last year's predictions. You know, overall if you average out our grade on the 10 predictions that come out to a b plus, I dunno why we can't seem to get that elusive a, but we're gonna keep trying our friends at E T R and we are starting to look at the data for 2023 from the surveys and all the work that we've done on the cube and our, our analysis and we're gonna put together our predictions. We've had literally hundreds of inbounds from PR pros pitching us. We've got this huge thick folder that we've started to review with our yellow highlighter. And our plan is to review it this month, take a look at all the data, get some ideas from the inbounds and then the e t R of January surveys in the field. >>It's probably got a little over a thousand responses right now. You know, they'll get up to, you know, 1400 or so. And once we've digested all that, we're gonna go back and publish our predictions for 2023 sometime in January. So stay tuned for that. All right, we're gonna leave it there for today. You wanna thank Alex Myerson who's on production and he manages the podcast, Ken Schiffman as well out of our, our Boston studio. I gotta really heartfelt thank you to Kristen Martin and Cheryl Knight and their team. They helped get the word out on social and in our newsletters. Rob Ho is our editor in chief over at Silicon Angle who does some great editing for us. Thank you all. Remember all these podcasts are available or all these episodes are available is podcasts. Wherever you listen, just all you do Search Breaking analysis podcast, really getting some great traction there. Appreciate you guys subscribing. I published each week on wikibon.com, silicon angle.com or you can email me directly at david dot valante silicon angle.com or dm me Dante, or you can comment on my LinkedIn post. And please check out ETR AI for the very best survey data in the enterprise tech business. Some awesome stuff in there. This is Dante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.

>>welcome back. And thanks for joining us for our second session. External data, your new leading indicators. We'll be hearing from industry leaders as they share best practices and challenges in leveraging external data. This panel will be a true conversation on the part of the possible. All right, let's get to >>it >>today. We're excited to be joined by thought spots. Chief Data Strategy Officer Cindy Housing Deloitte's chief data officer Manteo, the founder and CEO of Eagle Alfa. And it Kilduff and Snowflakes, VP of data marketplace and customer product strategy. Matt Glickman. Cindy. Without further ado, the floor is yours. >>Thank you, Mallory. And I am thrilled to have this brilliant team joining us from around the world. And they really bring each a very unique perspective. So I'm going to start from further away. Emmett, Welcome. Where you joining us from? >>Thanks for having us, Cindy. I'm joining from Dublin, Ireland, >>great. And and tell us a little bit about Eagle Alfa. What do you dio >>from a company's perspective? Think of Eagle Alfa as an aggregator off all the external data sets on a word I'll use a few times. Today is a big advantage we could bring companies is we have a data concierge service. There's so much data we can help identify the right data sets depending on the specific needs of the company. >>Yeah. And so, Emma, you know, people think I was a little I kind of shocked the industry. Going from gardener to a tech startup. Um, you have had a brave journey as well, Going from financial services to starting this company, really pioneering it with I think the most data sets of any of thes is that right? >>Yes, it was. It was a big jump to go from Morgan Stanley. Uh, leave the comforts of that environment Thio, PowerPoint deck and myself raising funding eight years ago s So it was a big jump on. We were very early in our market. It's in the last few years where there's been real momentum and adoption by various types of verticals. The hedge funds were first, maybe then private equity, but corporate sar are following quite quickly from behind. That will be the biggest users, in our view, by by a significant distance. >>Yeah, great. Thank um, it So we're going to go a little farther a field now, but back to the U. S. So, Juan, where you joining us from? >>Hey, Cindy. Thanks for having me. I'm joining you from Houston, Texas. >>Great. Used to be my home. Yeah, probably see Rice University back there. And you have a distinct perspective serving both Deloitte customers externally, but also internally. Can you tell us about that? >>Yeah, absolutely. So I serve as the Lord consultants, chief data officer, and as a professional service firm, I have the responsibility for overseeing our overall data agenda, which includes both the way we use data and insights to run and operate our own business, but also in how we develop data and insights services that we then take to market and how we serve our dealers and clients. >>Great. Thank you, Juan. And last but not least, Matt Glickman. Kind of in my own backyard in New York. Right, Matt? >>Correct. Joining I haven't been into the city and many months, but yes, um, based in New York. >>Okay. Great. And so, Matt, you and Emmett also, you know, brave pioneers in this space, and I'm remembering a conversation you and I shared when you were still a J. P. Morgan, I believe. And you're Goldman Sachs. Sorry. Sorry. Goldman. Can you Can you share that with us? >>Sure. I made the move back in 2015. Um, when everyone thought, you know, my wife, my wife included that I was crazy. I don't know if I would call it Comfortable was emitted, but particularly had been there for a long time on git suffered in some ways. A lot of the pains we're talking about today, given the number of data, says that the amount of of new data sets that are always demand for having run analytics teams at Goldman, seeing the pain and realizing that this pain was not unique to Goldman Sachs, it was being replicated everywhere across the industry, um, in a mind boggling way and and the fortuitous, um, luck to have one of snowflakes. Founders come to pitch snowflake to Goldman a little bit early. Um, they became a customer later, but a little bit early in 2014. And, you know, I realized that this was clearly, you know, the answer from first principles on bond. If I ever was going to leave, this was a problem. I was acutely aware of. And I also was aware of how much the man that was in financial services for a better solution and how the cloud could really solve this problem in particular the ability to not have to move data in and out of these organizations. And this was something that I saw the future of. Thank you, Andi, that this was, you know, sort of the pain that people just expected to pay. Um, this price if you need a data, there was method you had thio. You had to use you either ftp data in and out. You had data that was being, you know, dropped off and, you know, maybe in in in a new ways and cloud buckets or a P i s You have to suck all this data down and reconstruct it. And God forbid the formats change. It was, you know, a nightmare. And then having issues with data, you had a what you were seeing internally. You look nothing like what the data vendors were seeing because they want a completely different system, maybe model completely differently. Um, but this was just the way things were. Everyone had firewalls. Everyone had their own data centers. There was no other way on git was super costly. And you know this. I won't even share the the details of you know, the errors that would occur in the pain that would come from that, Um what I realized it was confirmed. What I saw it snowflake at the time was once everyone moves to run their actual workloads in this in the cloud right where you're now beyond your firewall, you'll have all this scale. But on top of that, you'll be able to point at data from these vendors were not there the traditional data vendors. Or, you know, this new wave of alternative data vendors, for example, like the ones that eagle out for brings together And bring these all these data sets together with your own internal data without moving it. Yeah, this was a fundamental shift of what you know, it's in some ways, it was a side effect of everyone moving to the cloud for costs and scale and elasticity. But as a side effect of that is what we talked about, You know it snowflake summit, you know, yesterday was this notion of a data cloud that would connect data between regions between cloud vendors between customers in a way where you could now reference data. Just like your reference websites today, I don't download CNN dot com. I point at it, and it points me to something else. I'm always seeing the latest version, obviously, and we can, you know, all collaborate on what I'm seeing on that website. That's the same thing that now can happen with data. So And I saw this as what was possible, and I distinctly asked the question, you know, the CEO of the time Is this possible? And not only was it possible it was a fundamental construct that was built into the way that snowflake was delivered. And then, lastly, this is what we learned. And I think this is what you know. M It also has been touting is that it's all great if data is out there and even if you lower that bar of access where data doesn't have to move, how do I know? Right? If I'm back to sitting at Goldman Sachs, how do I know what data is available to me now in this this you know, connected data network eso we released our data marketplace, which was a very different kind of marketplace than these of the past. Where for us, it was really like a global catalog that would elect a consumer data consumer. Noah data was available, but also level the playing field. Now we're now, you know, Eagle, Alfa, or even, you know, a new alternative data vendor build something in their in their basement can now publish that data set so that the world could see and consume and be aligned to, you know, snowflakes, core business, and not where we wouldn't have to be competing or having to take, um, any kind of custody of that data. So adding that catalog to this now ubiquitous access, um really changed the game and, you know, and then now I seem like a genius for making this move. But back then, like I said, we've seen I seem like instant. I was insane. >>Well, given, given that snowflake was the hottest aipo like ever, you were a genius. Uh, doing this, you know, six years in advance. E think we all agree on that, But, you know, a lot of this is still visionary. Um, you know, some of the most leading companies are already doing this. But one What? What is your take our Are you best in class customers still moving the data? Or is this like they're at least thinking about data monetization? What are you seeing from your perspective? >>Yeah, I mean, I did you know, the overall appreciation and understanding of you know, one. I got to get my house in order around my data, um, has something that has been, you know, understood and acted upon. Andi, I do agree that there is a shift now that says, you know, data silos alone aren't necessarily gonna bring me, you know, new and unique insights on dso enriching that with external third party data is absolutely, you know, sort of the the ship that we're seeing our customers undergo. Um, what I find extremely interesting in this space and what some of the most mature clients are doing is, you know, really taking advantage of these data marketplaces. But building data partnerships right there from what mutually exclusive, where there is a win win scenario for for you know, that organization and that could be, you know, retail customers or life science customers like with pandemic, right the way we saw companies that weren't naturally sharing information are now building these data partnership right that are going are going into mutually benefit, you know, all organizations that are sort of part of that value to Andi. I think that's the sort of really important criteria. And how we're seeing our clients that are extremely successful at this is that partnership has benefits on both sides of that equation, right? Both the data provider and then the consumer of that. And there has to be, you know, some way to ensure that both parties are are are learning right, gaining you insights to support, you know, whatever their business organization going on. >>Yeah, great one. So those data partnerships getting across the full value chain of sharing data and analytics Emmett, you work on both sides of the equation here, helping companies. Let's say let's say data providers maybe, like, you know, cast with human mobility monetize that. But then also people that are new to it. Where you seeing the top use cases? Well, >>interestingly, I agree with one of the supply side. One of the interesting trends is we're seeing a lot more data coming from large Corporates. Whether they're listed are private equity backed, as opposed to maybe data startups that are earning money just through data monetization. I think that's a great trend. I think that means a lot of the best. Data said it data is yet to come, um, in terms off the tough economy and how that's changed. I think the category that's had the most momentum and your references is Geo location data. It's that was the category at our conference in December 2000 and 12 that was pipped as the category to watch in 2019. On it didn't become that at all. Um, there were some regulatory concerns for certain types of geo data, but with with covert 19, it's Bean absolutely critical for governments, ministries of finance, central banks, municipalities, Thio crunch that data to understand what's happening in a real time basis. But from a company perspective, it's obviously critical as well. In terms of planning when customers might be back in the High Street on DSO, fourth traditionally consumer transaction data of all the 26 categories in our taxonomy has been the most popular. But Geo is definitely catching up your slide. Talked about being a tough economy. Just one point to contradict that for certain pockets of our clients, e commerce companies are having a field day, obviously, on they are very data driven and tech literate on day are they are really good client base for us because they're incredibly hungry, firm or data to help drive various, uh, decision making. >>Yeah, So fair enough. Some sectors of the economy e commerce, electron, ICS, healthcare are doing great. Others travel, hospitality, Um, super challenging. So I like your quote. The best is yet to come, >>but >>that's data sets is yet to come. And I do think the cloud is enabling that because we could get rid of some of the messy manual data flows that Matt you talked about, but nonetheless, Still, one of the hardest things is the data map. Things combining internal and external >>when >>you might not even have good master data. Common keys on your internal data. So any advice for this? Anyone who wants to take that? >>Sure I can. I can I can start. That's okay. I do think you know, one of the first problems is just a cataloging of the information that's out there. Um, you know, at least within our organization. When I took on this role, we were, you know, a large buyer of third party data. But our organization as a whole didn't necessarily have full visibility into what was being bought and for what purpose. And so having a catalog that helps us internally navigate what data we have and how we're gonna use it was sort of step number one. Um, so I think that's absolutely important. Um, I would say if we could go from having that catalog, you know, created manually to more automated to me, that's sort of the next step in our evolution, because everyone is saying right, the ongoing, uh, you know, creation of new external data sets. It's only going to get richer on DSO. We wanna be able to take advantage of that, you know, at the at the pacing speed, that data is being created. So going from Emanuel catalog to anonymous >>data >>catalog, I think, is a key capability for us. But then you know, to your second point, Cindy is how doe I then connect that to our own internal data to drive greater greater insights and how we run our business or how we serve our customers. Andi, that one you know really is a It's a tricky is a tricky, uh, question because I think it just depends on what data we're looking toe leverage. You know, we have this concept just around. Not not all data is created equal. And when you think about governance and you think about the management of your master data, your internal nomenclature on how you define and run your business, you know that that entire ecosystem begins to get extremely massive and it gets very broad and very deep on DSO for us. You know, government and master data management is absolutely important. But we took a very sort of prioritized approach on which domains do we really need to get right that drive the greatest results for our organization on dso mapping those domains like client data or employee data to these external third party data sources across this catalog was really the the unlocked for us versus trying to create this, you know, massive connection between all the external data that we're, uh, leveraging as well as all of our own internal data eso for us. I think it was very. It was a very tailored, prioritized approach to connecting internal data to external data based on the domains that matter most to our business. >>So if the domains so customer important domain and maybe that's looking at things, um, you know, whether it's social media data or customer transactions, you prioritized first by that, Is that right? >>That's correct. That's correct. >>And so, then, Matt, I'm going to throw it back to you because snowflake is in a unique position. You actually get to see what are the most popular data sets is is that playing out what one described are you seeing that play out? >>I I'd say Watch this space. Like like you said. I mean this. We've you know, I think we start with the data club. We solve that that movement problem, which I think was really the barrier that you tended to not even have a chance to focus on this mapping problem. Um, this notion of concordance, I think this is where I see the big next momentum in this space is going to be a flurry of traditional and new startups who deliver this concordance or knowledge graph as a service where this is no longer a problem that I have to solve internal to my organization. The notion of mastering which is again when everyone has to do in every organization like they used to have to do with moving data into the organization goes away. And this becomes like, I find the best of breed for the different scopes of data that I have. And it's delivered to me as a, you know, as a cloud service that just takes my data. My internal data maps it to these 2nd and 3rd party data sets. Um, all delivered to me, you know, a service. >>Yeah, well, that would be brilliant concordance as a service or or clean clean master data as a service. Um, using augmented data prep would be brilliant. So let's hope we get there. Um, you know, so 2020 has been a wild ride for everyone. If I could ask each of you imagine what is the art of the possible or looking ahead to the next to your and that you are you already mentioned the best is yet to come. Can you want to drill down on that. What what part of the best is yet to come or what is your already two possible? >>Just just a brief comment on mapping. Just this week we published a white paper on mapping, which is available for for anyone on eagle alfa dot com. It's It's a massive challenge. It's very difficult to solve. Just with technology Onda people have tried to solve it and get a certain level of accuracy, but can't get to 100% which which, which, which makes it difficult to solve it. If if if there is a new service coming out against 100% I'm all ears and that there will be a massive step forward for the entire data industry, even if it comes in a few years time, let alone next year, I think going back to the comment on data Cindy. Yes, I think boards of companies are Mawr and Mawr. Viewing data as an asset as opposed to an expense are a cost center on bond. They are looking therefore to get their internal house in order, as one was saying, but also monetize the data they are sitting on lots of companies. They're sitting on potentially valuable data. It's not all valuable on a lot of cases. They think it's worth a lot more than it is being frank. But in some cases there is valuable data on bond. If monetized, it can drop to the bottom line on. So I think that bodes well right across the world. A lot of the best date is yet to come on. I think a lot of firms like Deloitte are very well positioned to help drive that adoption because they are the trusted advisor to a lot of these Corporates. Um, so that's one thing. I think, from a company perspective. It's still we're still at the first base. It's quite frustrating how slow a lot of companies are to move and adopt, and some of them are haven't hired CDO. Some of them don't have their internal house in order. I think that has to change next year. I think if we have this conference at this time next year, I would expect that would hopefully be close to the tipping point for Corporates to use external data. And the Malcolm Gladwell tipping point on the final point I make is I think, that will hopefully start to see multi department use as opposed to silos again. Parliaments and silos, hopefully will be more coordinated on the company's side. Data could be used by marketing by sales by r and D by strategy by finance holds external data. So it really, hopefully will be coordinated by this time next year. >>Yeah, Thank you. So, to your point, there recently was an article to about one of the airlines that their data actually has more value than the company itself now. So I know, I know. We're counting on, you know, integrators trusted advisers like Deloitte to help us get there. Uh, one what? What do you think? And if I can also drill down, you know, financial services was early toe all of this because they needed the early signals. And and we talk about, you know, is is external data now more valuable than internal? Because we need those early signals in just such a different economy. >>Yeah, I think you know, for me, it's it's the seamless integration of all these external data sources and and the signals that organizations need and how to bring those into, you know, the day to day operations of your organization, right? So how do you bring those into, You know, you're planning process. How do you bring that into your sales process on DSO? I think for me success or or where I see the that the use and adoption of this is it's got to get down to that level off of operations for organizations. For this to continue to move at the pace and deliver the value that you know, we're all describing. I think we're going to get there. But I think until organizations truly get down to that level of operations and how they're using this data, it'll sort of seem like a Bolton, right? So for me, I think it's all about Mawr, the seamless integration. And I think to what Matt mentioned just around services that could help connect external data with internal data. I'll take that one step beyond and say, How can we have the data connect itself? Eso I had references Thio, you know, automation and machine learning. Um, there's significant advances in terms of how we're seeing, you know, mapping to occur in a auto generated fashion. I think this specific space and again the connection between external and internal data is a prime example of where we need to disrupt that, you know, sort of traditional data pipeline on. Try to automate that as much as possible. And let's have the data, you know, connect itself because it then sort of supports. You know, the first concept which waas How do we make it more seamless and integrated into, you know, the business processes of the organization's >>Yeah, great ones. So you two are thinking those automated, more intelligent data pipelines will get us there faster. Matt, you already gave us one. Great, Uh, look ahead, Any more to add to >>it, I'll give you I'll give you two more. One is a bit controversial, but I'll throw that you anyway, um, going back to the point that one made about data partnerships What you were saying Cindy about, you know, the value. These companies, you know, tends to be somehow sometimes more about the data they have than the actual service they provide. I predict you're going to see a wave of mergers and acquisitions. Um, that it's solely about locking down access to data as opposed to having data open up. Um to the broader, you know, economy, if I can, whether that be a retailer or, you know, insurance company was thes prime data assets. Um, you know, they could try to monetize that themselves, But if someone could acquire them and get exclusive access that data, I think that's going to be a wave of, um, in a that is gonna be like, Well, we bought this for this amount of money because of their data assets s. So I think that's gonna be a big wave. And it'll be maybe under the guise of data partnerships. But it really be about, you know, get locking down exclusive access to valuable data as opposed to trying toe monetize it itself number one. And then lastly, you know. Now, did you have this kind of ubiquity of data in this interconnected data network? Well, we're starting to see, and I think going to see a big wave of is hyper personalization of applications where instead of having the application have the data itself Have me Matt at Snowflake. Bring my data graph to applications. Right? This decoupling of we always talk about how you get data out of these applications. It's sort of the reverse was saying Now I want to bring all of my data access that I have 1st, 2nd and 3rd party into my application. Instead of having to think about getting all the data out of these applications, I think about it how when you you know, using a workout app in the consumer space, right? I can connect my Spotify or connect my apple music into that app to personalize the experience and bring my music list to that. Imagine if I could do that, you know, in a in a CRM. Imagine I could do that in a risk management. Imagine I could do that in a marketing app where I can bring my entire data graph with me and personalize that experience for, you know, for given what I have. And I think again, you know, partners like thoughts. But I think in a unique position to help enable that capability, you know, for this next wave of of applications that really take advantage of this decoupling of data. But having data flow into the app tied to me as opposed to having the APP have to know about my data ahead of time, >>Yeah, yeah, So that is very forward thinking. So I'll end with a prediction and a best practice. I am predicting that the organizations that really leverage external data, new data sources, not just whether or what have you and modernize those data flows will outperform the organizations that don't. And as a best practice to getting there, I the CDOs that own this have at least visibility into everything they're purchasing can save millions of dollars in duplicate spend. So, Thio, get their three key takeaways. Identify the leading indicators and market signals The data you need Thio. Better identify that. Consolidate those purchases and please explore the data sets the range of data sets data providers that we have on the thought spot. Atlas Marketplace Mallory over to you. >>Wow. Thank you. That was incredible. Thank you. To all of our Panelists for being here and sharing that wisdom. We really appreciate it. For those of you at home, stay close by. Our third session is coming right up and we'll be joined by our partner AWS and get to see how you can leverage the full power of your data cloud complete with the demo. Make sure to tune in to see you >>then

>>from around the >>globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, >>Hi. We are the Cube live covering AWS reinvent 2020. I'm Lisa Martin, and I've got one of our cube alumni back with me. Mike Miller is here. General manager of A W s AI Devices at AWS. Mike, welcome back to the Cube. >>Hi, Lisa. Thank you so much for having me. It's really great to join you all again at this virtual reinvent. >>Yes, I think last year you were on set. We have always had to. That's at reinvent. And you you had the deep race, your car, and so we're obviously socially distance here. But talk to me about deepracer. What's going on? Some of the things that have gone on the last year that you're excited >>about. Yeah, I'd love to tell. Tell you a little bit about what's been happening. We've had a tremendous year. Obviously, Cove. It has restricted our ability to have our in person races. Eso we've really gone gone gangbusters with our virtual league. So we have monthly races for competitors that culminate in the championship. Um, at reinvent. So this year we've got over 100 competitors who have qualified and who are racing virtually with us this year at reinvent. They're participating in a series of knockout rounds that are being broadcast live on twitch over the next week. That will whittle the group down to AH Group of 32 which will have a Siris of single elimination brackets leading to eight finalists who will race Grand Prix style five laps, eight cars on the track at the same time and will crown the champion at the closing keynote on December 15th this year. >>Exciting? So you're bringing a reinforcement, learning together with with sports that so many of us have been missing during the pandemic. We talked to me a little bit about some of the things that air that you've improved with Deep Racer and some of the things that are coming next year. Yeah, >>absolutely so, First of all, Deep Racer not only has been interesting for individuals to participate in the league, but we continue to see great traction and adoption amongst big customers on dare, using Deep Racer for hands on learning for machine learning, and many of them are turning to Deep Racer to train their workforce in machine learning. So over 150 customers from the likes of Capital One Moody's, Accenture, DBS Bank, JPMorgan Chase, BMW and Toyota have held Deep Racer events for their workforces. And in fact, three of those customers Accenture, DBS Bank and J. P. Morgan Chase have each trained over 1000 employees in their organization because they're just super excited. And they find that deep racers away to drive that excitement and engagement across their customers. We even have Capital one expanded this to their families, so Capital One ran a deep raise. Their Kids Cup, a family friendly virtual competition this past year were over. 250 Children and 200 families got to get hands on with machine learning. >>So I envisioned some. You know, this being a big facilitator during the pandemic when there's been this massive shift to remote work has have you seen an uptick in it for companies that talking about training need to be ableto higher? Many, many more people remotely but also train them? Is deep Racer facilitator of that? Yeah, >>absolutely. Deep Racer has ah core component of the experience, which is all virtualized. So we have, ah, console and integration with other AWS services so that racers can participate using a three d racing simulator. They can actually see their car driving around a track in a three D world simulation. Um, we're also selling the physical devices. So you know, if participants want to get the one of those devices and translate what they've done in the virtual world to the real world, they can start doing that. And in fact, just this past year, we made our deep race or car available for purchase internationally through the Amazon Com website to help facilitate that. >>So how maney deep racers air out there? I'm just curious. >>Oh, thousands. Um, you know, And there what? What we've seen is some companies will purchase you, know them in bulk and use them for their internal leagues. Just like you know, JP Morgan Chase on DBS Bank. These folks have their own kind of tracks and racers that they'll use to facilitate both in person as well as the virtual racing. >>I'm curious with this shift to remote that we mentioned a minute ago. How are you seeing deepracer as a facilitator of engagement. You mentioned engagement. And that's one of the biggest challenges that so Maney teams develops. Processes have without being co located with each other deep Brister help with that. I mean, from an engagement perspective, I think >>so. What we've seen is that Deep Racer is just fun to get your hands on. And we really lower the learning curve for machine learning. And in particular, this branch called reinforcement Learning, which is where you train this agent through trial and error toe, learn how to do a new, complex task. Um, and what we've seen is that customers who have introduced Deep Racer, um, as an event for their employees have seen ah, very wide variety of employees. Skill sets, um, kind of get engaged. So you've got not just the hardcore deep data scientists or the M L engineers. You've got Web front end programmers. You even have some non technical folks who want to get their hands dirty. Onda learn about machine learning and Deep Racer really is a nice, gradual introduction to doing that. You can get engaged with it with very little kind of coding knowledge at all. >>So talk to me about some of the new services. And let's look at some specific use case customer use cases with each service. Yeah, >>absolutely. So just to set the context. You know, Amazon's got hundreds. A ws has hundreds of thousands of customers doing machine learning on AWS. No customers of all sizes are embedding machine learning into their no core business processes. And one of the things that we always do it Amazon is We're listening to customers. You know, 90 to 95% of our road maps are driven by customer feedback. And so, as we've been talking to these industrial manufacturing customers, they've been telling us, Hey, we've got data. We've got these processes that are happening in our industrial sites. Um, and we just need some help connecting the dots like, how do we really most effectively use machine learning to improve our processes in these industrial and manufacturing sites? And so we've come up with these five services. They're focused on industrial manufacturing customers, uh, two of the services air focused around, um, predictive maintenance and, uh, the other three services air focused on computer vision. Um, and so let's start with the predictive maintenance side. So we announced Amazon Monitor On and Amazon look out for equipment. So these services both enable predictive maintenance powered by machine learning in a way that doesn't require the customer to have any machine learning expertise. So Mono Tron is an end to end machine learning system with sensors, gateway and an ML service that can detect anomalies and predict when industrial equipment will require maintenance. I've actually got a couple examples here of the sensors in the gateway, so this is Amazon monitor on these little sensors. This little guy is a vibration and temperature sensor that's battery operated, and wireless connects to the gateway, which then transfers the data up to the M L Service in the cloud. And what happens is, um, the sensors can be connected to any rotating machinery like pump. Pour a fan or a compressor, and they will send data up to the machine learning cloud service, which will detect anomalies or sort of irregular kind of sensor readings and then alert via a mobile app. Just a tech or a maintenance technician at an industrial site to go have a look at their equipment and do some preventative maintenance. So um, it's super extreme line to end to end and easy for, you know, a company that has no machine learning expertise to take advantage of >>really helping them get on board quite quickly. Yeah, >>absolutely. It's simple tea set up. There's really very little configuration. It's just a matter of placing the sensors, pairing them up with the mobile app and you're off and running. >>Excellent. I like easy. So some of the other use cases? Yeah, absolutely. >>So So we've seen. So Amazon fulfillment centers actually have, um, enormous amounts of equipment you can imagine, you know, the size of an Amazon fulfillment center. 28 football fields, long miles of conveyor belts and Amazon fulfillment centers have started to use Amazon monitor on, uh, to monitor some of their conveyor belts. And we've got a filament center in Germany that has started using these 1000 sensors, and they've already been able to, you know, do predictive maintenance and prevent downtime, which is super costly, you know, for businesses, we've also got customers like Fender, you know, who makes guitars and amplifiers and musical equipment. Here in the US, they're adopting Amazon monitor on for their industrial machinery, um, to help prevent downtime, which again can cost them a great deal as they kind of hand manufacture these high end guitars. Then there's Amazon. Look out for equipment, which is one step further from Amazon monitor on Amazon. Look out for equipment. Um provides a way for customers to send their own sensor data to AWS in order to build and train a model that returns predictions for detecting abnormal equipment behavior. So here we have a customer, for example, like GP uh, E P s in South Korea, or I'm sorry, g S E P s in South Korea there in industrial conglomerate, and they've been collecting their own data. So they have their own sensors from industrial equipment for a decade. And they've been using just kind of rule basic rules based systems to try to gain insight into that data. Well, now they're using Amazon, look out for equipment to take all of their existing sensor data, have Amazon for equipment, automatically generate machine learning models on, then process the sensor data to know when they're abnormalities or when some predictive maintenance needs to occur. >>So you've got the capabilities of working with with customers and industry that that don't have any ML training to those that do have been using sensors. So really, everybody has an opportunity here to leverage this new Amazon technology, not only for predicted, but one of the things I'm hearing is contact list, being able to understand what's going on without having to have someone physically there unless there is an issue in contact. This is not one of the words of 2020 but I think it probably should be. >>Yeah, absolutely. And in fact, that that was some of the genesis of some of the next industrial services that we announced that are based on computer vision. What we saw on what we heard when talking to these customers is they have what we call human inspection processes or manual inspection processes that are required today for everything from, you know, monitoring you like workplace safety, too, you know, quality of goods coming off of a machinery line or monitoring their yard and sort of their, you know, truck entry and exit on their looking for computer vision toe automate a lot of these tasks. And so we just announced a couple new services that use computer vision to do that to automate these once previously manual inspection tasks. So let's start with a W A. W s Panorama uses computer vision toe improve those operations and workplace safety. AWS Panorama is, uh, comes in two flavors. There's an appliance, which is, ah, box like this. Um, it basically can go get installed on your network, and it will automatically discover and start processing the video feeds from existing cameras. So there's no additional capital expense to take a W s panorama and have it apply computer vision to the cameras that you've already got deployed, you know, So customers are are seeing that, um, you know, computer vision is valuable, but the reason they want to do this at the edge and put this computer vision on site is because sometimes they need to make very low Leighton see decisions where if you have, like a fast moving industrial process, you can use computer vision. But I don't really want to incur the cost of sending data to the cloud and back. I need to make a split second decision, so we need machine learning that happens on premise. Sometimes they don't want to stream high bandwidth video. Or they just don't have the bandwidth to get this video back to the cloud and sometimes their data governance or privacy restrictions that restrict the company's ability to send images or video from their site, um, off site to the cloud. And so this is why Panorama takes this machine learning and makes it happen right here on the edge for customers. So we've got customers like Cargill who uses or who is going to use Panorama to improve their yard management. They wanna use computer vision to detect the size of trucks that drive into their granaries and then automatically assign them to an appropriately sized loading dock. You've got a customer like Siemens Mobility who you know, works with municipalities on, you know, traffic on by other transport solutions. They're going to use AWS Panorama to take advantage of those existing kind of traffic cameras and build machine learning models that can, you know, improve congestion, allocate curbside space, optimize parking. We've also got retail customers. For instance, Parkland is a Canadian fuel station, um, and retailer, you know, like a little quick stop, and they want to use Panorama to do things like count the people coming in and out of their stores and do heat maps like, Where are people visiting my store so I can optimize retail promotions and product placement? >>That's fantastic. The number of use cases is just, I imagine if we had more time like you could keep going and going. But thank you so much for not only sharing what's going on with Deep Racer and the innovations, but also for show until even though we weren't in person at reinvent this year, Great to have you back on the Cube. Mike. We appreciate your time. Yeah, thanks, Lisa, for having me. I appreciate it for Mike Miller. I'm Lisa Martin. You're watching the cubes Live coverage of aws reinvent 2020.

>> Voiceover: From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hi, I'm Stu Miniman, and welcome to this announcement with VMware cloud on AWS update. Happy to welcome back to the program, Matt Morgan. He is the Vice President of global marketing with VMware cloud services. And welcome into the program Fred Wurden, he's the general manager of EC2 enterprise at Amazon Web Services. Thank you so much both for joining us. >> Good to see you Stu. >> Same, thanks Stu. >> Matt, and Fred, the VMware AWS partnership is one that has gotten a lot of attention. I know any time back in the day when we used to go to physical trade shows, I could know when there was a session talking about this because it was usually full and overflowing. When I've written about this topic or doing videos about it it definitely gets quite a lot of attention. So it's been over three years since the partnership was announced but still, when I talk to people, they don't necessarily really understand the depth of the integration and the work that gets done on both sides even though you get clear messages from both Andy Jassy and Pat Gelsinger about how important this is. Matt, maybe start with you and Fred would love your commentary as to this three year partnership and where we are today here in 2020. >> Absolutely, since the initial announcement of the VMware AWS relationships, we have actually built a very special cloud service. And today, we're actually deepening our partnership. In fact, today, VMware goes to market saying that AWS and only AWS is our preferred public cloud partner for all vSphere based workloads. VMware cloud on AWS is a jointly engineered service. Meaning, our product teams our r&d teams are all working together to deliver VMware enterprise class Software Defined data center solution to the AWS cloud. VMware Cloud foundation is the core technology that's behind our service. And it gives us the capability to deliver that same level of infrastructure familiarity and consistency that our customers use today, across every data center location, the edge and of course inside the public cloud. VMware cloud on AWS attracts an enormous amount of interest from customers. And these customers are in every vertical, whether you're speaking of healthcare, media and entertainment, transportation, financial services, manufacturing, energy, government, education, professional services, and of course technology. And together with AWS, we're bringing together services that are being used across the whole portfolio of cloud optionality. This includes cloud migration from whether you're talking about a single app or complete data center, disaster recovery, whether you're talking about replacing a legacy system or building new disaster recovery in the cloud. Data center extension building that hybrid cloud. And of course, modernizing applications which we classify under the term application modernization. >> Great, and Fred from the Amazon side. >> Yeah, the partnership is been fantastic over three years. And I can't express enough how hard it is to actually deliver a simple solution that customers are asking for from all levels of both organizations. And to do that it takes both AWS and VMware to deliver a solution that allows companies to leverage what they know today and extend that into the cloud. And leverage all of the benefits that we're going to go over and a rapid delivery of new features which they haven't had before ever. So it's fantastic a partnership. I love what we've been doing at all levels. And I say it's going to continue. The scale at which we're growing is fantastic. And with that, I'm happy to go over some of the announcements and why we're doing what we're doing which is all based on listening and what our customers want. >> Excellent. Well, Fred, hey, we're glad first of all, that it did not get called VMC on AWS SS. Because we have enough acronyms already in tech. Matt, VMware and AWS, of course, clear leadership in the marketplace. With three years, bring us inside as to you talked about all the verticals that were used, but where's the proof on the adoption of this technology? Love to hear a little bit about that. >> Yeah, absolutely. So we have customer examples across the verticals we spoke of, but it's the customer stories that are the real value demonstrator. Let's pick up a couple of those. IHS market, they were able to move 1000 plus workloads to the public cloud. And that story is kind of common in the world. But what's unique about this particular story is IHS market moved them in just six weeks. If you look at the cloud migration strategy in general, for someone to move that fast with that many workloads, it's unheard of. VMware empowers that because the operating setup that organizations have standardized in their data center is identical in the public cloud. So organizations can move workloads we see them move hundreds of workloads in a week from their data center up to the public cloud. In addition to that, we have customer examples like the Pennsylvania Lumberman's Mutual Insurance Company. They were able to demonstrate 20% cost savings by moving their disaster recovery systems to VMware cloud on AWS. And that was initial savings right off the rip. Other customers like William Hill, George St. PA, Stage Coast, PHS Mortgage, they're all demonstrating the significant value adds when people move over to the public cloud, but leverage that VMware cloud solution. >> And Fred obviously, AWS also plays across these environments. We would like to hear your side too. >> Yeah, a couple examples like S&P global ratings, they spin up a new application environment in a few hours instead of months. Let alone taking all the burden off of their supply chain and management of that. Like Matt said in terms of seeing cost savings. So agility and speed allows them to really focus on their applications and start to modernize and innovate in areas that really differentiate them. They've had 100% uptime for regulatory applications and a 50% improved disaster recovery time. Other customers have built out a disaster recovery plan and then actually spun to VMware cloud on AWS as their primary because they had better performance. So it's the whole range of options in terms of better performance, better TCL and economics and mostly agility on what they can do going forward with applications that may already be built on AWS as well with native services. >> Matt, you touched on some great customer examples, maybe maybe give us some, broad themes as to what are the key drivers as to why customers are adopting VMware cloud on AWS? >> Yeah, absolutely. As with any infrastructure conversation, total cost of ownership is a big piece of the equation. Organizations want to look at their footprint today. They want to look at their footprint next year, and then of course, many years out. So when you look at the public cloud, cloud economics are a big driver. VMware, of course adopts the whole concept of cloud economics whole full horse. Meaning that we give you the capability to recognize the advantages of an apex object model, the ability to have on demand services, the ability to have a managed IaaS, all of that is part and parcel to our service. But on top of that, there's unique capabilities that VMware cloud on AWS delivers that deliver unique economic value. The first is this concept of zero refactoring. Our customers tell us that this alone allows them to eliminate what they call is rework, sometimes called the rework tax. Which prevents organizations from moving applications to the cloud without reworking them, without working their data layer, re architecting how they run, they can move them because the operating layer is consistent. Another area of value that's unique to VMware cloud on AWS is the leverage of existing skill sets. Today's operators are trained on vCenter. They're trained on all the supporting infrastructure around VMware. All of that applies with VMware cloud on AWS. So the ability to translate those skills into a cloud skill set right off the bat is of enormous value. Of course flexibilities another big one, as organizations embrace what it being seen as composite applications, which are applications that span the data center, the public cloud out to the edge. The ability to move logic as needed to be able to have portability is something we deliver. Again, that's an economic value that we are able to provide. Now this has been quantified by third parties. There's been several major third parties, including Forrester, including IDC, that have published value added statements around the total economic impact of VMware cloud on AWS. In fact, just last year, there was a study that was commissioned by Forrester that demonstrated a 59% reoccurring savings in terms of infrastructure and operating savings, compared to an on premise implementation. When you look at migration that accelerates to 69% 'cause organizations can save almost 70% of moving applications by eliminating rework and refactoring. That's an IDC statistic. >> All right Matt. Maybe it would make sense to talk about just overall adoption of the solution. I believe you've got some stats you can share. >> So yeah, if you look at the adoption, we have delivered enormous growth over the last year of the service. Total number of hosts year over year are up 2.5x. Total number of running VMs year over year is actually larger at 3.5x. Which indicates that customers are not just adopting, but they're accelerating their adoption. We now have 21,000 plus number of hands on labs that have been consumed since July of 2019, a year ago. And there are now 300 plus validated technology partner solutions available. And on top of that, 530 channel partners with VMware cloud service competency are now registered and available to assist. These are tremendous statistics for 12 short months. >> Well, congratulations on to both VMware and AWS on that progress. Maybe talk a little bit about trends. Just briefly, if I look over the last three months we've talked about AWS and VMware customers. Obviously, with the global pandemic, there's been certain things that they've needed to rapidly do things like, VDI, end user computing, remote contact centers are something that they need to rapidly expand on. But, is there anything different or general trends that that you would both like to share? Matt, we'll once again, start with you and then Fred get your take on it. >> Yeah, there's a regional school district in the US that in light of COVID, needed to spin up 10,000 plus people working remotely. And by leveraging VMware cloud on AWS, they were able to conduct virtual classrooms in very short order by leveraging this broad scale infrastructure powered by VMware cloud on AWS. Over time, that provided flexibility and agility, but it also reduced their costs. They've been able to eliminate hardware replacement plans that were going to cost significant amount of money. In fact, they're showing and telling us that they're able to save 75% of those forecasted costs. But everything is really about business continuity today. Today's unfortunate economic environment where we're working through this pandemic, this global pandemic, IT organizations and businesses, they're embracing a tried and true understanding of what it means to move to the cloud. But they're embracing it in a more aggressive way because the supply chain has been disrupted. If you think about a traditional supply chain, where organizations have to receive machines, set up those machines, have them wired in have certain people on site to get those machines configured, move application. That's a lot of steps in the process, many of which have been totally disrupted during the pandemic. The idea of VMware cloud on AWS is that you replace an analog supply chain with a digital supply chain. We can now help organizations get new equipment, new capacity, new resources up and running instantly. They don't have to worry about all the steps that were previously required that have been disrupted in a pandemic. The cloud provides that operating environment that maps one for one to the realities of today's world. And they're also able to understand that looking forward, that that setup enables them to be more future ready. Ready for whatever comes next to deliver what the business needs. >> Yeah, there's a number of reasons that you just touched on Matt, that are examples that we can bring out on that elasticity. For example, Penny Mac, anytime there are changes in the market, for example, on either both for VDI or just on processing of loans. When the pandemic hit, a lot of people actually paused on both looking and or changing their patterns. And this solution has been fantastic for either scaling up or scaling down both ways. And they can do it very quickly. They can do it within a number of a variety of means whether it's a single VM, or it's moving an entire migration into VMware cloud on AWS. So great results there. The case studies speak for themselves. There's a lot of examples that we have up on both of our sites. We'd really be good to take a look at those in detail if you're interested, it's fun to see. Helps a lot of people out. >> If I could follow up with you on something here. I want to talk about I go to the cloud, often that movement is step one, how do I take advantage of modernization, whether that be for my application standpoint, or leveraging new services? I wonder you can give me the AWS side there? And, Matt would love to hear how VMware is helping customers along this journey too. >> Well, the first is we want to meet people they're at with their knowledge set and their skill set. And this is a fantastic part. Customers can move quickly with the domain knowledge that they've go. We can assist in translating and making sure that the environment and the STDC is set up in a way that is tailored to what their needs are. Whether it's an extension, or if it's a complete migration of step one. But step two really is once they're leveraging VMware cloud on AWS is they have a lot of needs in terms of their CICD, their development tools, or samples and applications around automation. And we can take and help them with that. That content is already posted on our developer tool site and our developer center for this solution. It really assists them in learning about how to leverage the elasticity and the security and the networking capabilities that allow them to go in and then use all the rest of the rich AWS services as well. So, if you look at some of the things that are coming out for example, VMware Transit Connect. Which allows, a layer three solution to be built on top of our AWS transit gateway so that we can interconnect multiple VPCs in an environment that may be running either software as a solution on AWS or a native application that was built with managed services, completely in sync and in harmony, with VMware cloud on AWS. So that's what's happening at a rapid pace. It allows people to bite off the chunks that they want to modernize and reuse tools that are either familiar with them, and or automation improvements that we've got between code tools across the board. So it's great to see the work that they're doing >> Great, and Matt on the modernization piece. >> Yeah, so our surveys tell us that customers want to modernize their existing applications. But those same customers don't want to start over. So this is an important value proposition that we deliver in partnership with AWS. Organizations can take a business process application, they can migrate it to the cloud, they can extend and reach that application with AWS services. They can extend and reach that applications with additional machine learning capabilities, they can extend it with containerized extensions. They can support a broader modern agenda without having to start over. And I think that that is a value proposition that resonates with everyone, because people often need must leverage what they already have built with what the baseline is for the business itself. In addition to this, composite applications are now becoming the norm. With data and processing being more CO located, end to end Applications often consist of processing and data for certain tasks to be either pushed out to the edge or remain on premises in the data center in addition to the cloud. That value proposition of VMware delivering a hybrid cloud with consistent infrastructure and operations enables those composite applications to be built and deployed in a highly efficient way, which is a big piece to the modernization story. In addition to this with tons of Kubernetes grid as a customer managed option, organizations can run those containerized components right on top of our service, all of which integrates very cleanly with a whole library of services that AWS offers. End to end, you have all the optionality you need plus the speed of migration and capabilities once you get up to the public cloud. >> All right, let's get into the new pieces of the partnership here. Matt, first of all, when I think about VMware cloud on AWS, the customers that I've mostly spoken to over the last couple of years have tended to be some of the larger enterprises. I've heard you're alluding towards some capabilities to the small and medium business. I know I'm looking forward to talking to PLM insurance, one of the companies that are leveraging this solution as part of this announcement. What's new and the impact that this will have on the addressable market that VMware cloud can hit for AWS? >> Yeah, so with this announcement, VMware cloud on AWS, we're extending it to offer three new capabilities. Three new announcements of capabilities. The first one is all about what you just spoke of. Which is about extending the VMware cloud on AWS value proposition to more customers. So currently, customers can spin up production clusters with three hosts are, of course much more than that. But three hosts was kind of the entry level for a production cluster. What we're announcing is the ability to create production clusters with all the capable abilities that go into what we define as a production cluster with just two hosts. That means customers will be able to deploy production environments with two hosts in a cluster, dramatically reducing their costs. In fact, the traditional costs will come down by 33%. So this is all about providing the full capabilities of VMware cloud on AWS, but to be able to do it at a smaller investment envelope. So in addition to this, we're rolling out enhancements to VMware cloud director offering it as a service. VMware cloud director now will deliver multi tenancy to VMware cloud on AWS specifically designed for MSPs. As you know VMware partner ecosystem is filled with managed service providers. We have a mean enormous collection of these that add value on top of VMware cloud on AWS. Here by using VMware vcloud director service, they can deliver multi tenancy to their customers. And this is designed specifically to serve the needs of small to medium sized enterprises. These capabilities enable MSPs to serve those needs and it will be available initially in North America. And this will give them the opportunity to say, hey, if you want to get started on VMware cloud on AWS, we can give you bite sized pools designed specifically for what you need. And this is a very asset light pay as you grow model, which aligns specifically to that market. >> It's fascinating to watch Matt, I think, not that many years ago, if I had attended VMworld and talked to the MSPs. And they talk how deeply they appreciate the VMware partnership and that cloud company was the enemy. And, today AWS and VMware partnering with them, helping to make sure that in this hybrid world that they play a role to help get to the enterprise. Fred, anytime we go to reinvent, new announcements usually come to a huge fanfare, even something like a new bare metal instance. Last year it was the I3en metal instance. People get pretty excited. Help us understand you know what this really means, what advantages it has? Are there any limitations? What should we know about the capabilities AWS has now available to the VMware cloud? >> Well, first off, thanks Stu, I3en is really exciting that we're launching. It will meet the need of storage intensive workloads. And it'll do it far better than what we've had before. It takes advantage of all the learnings and the investments that we put into instances across the board for AWS such as Nitro. If you have, high random IO access, such as needed for relational database or workloads that have additional security that we have baked in, it's going to meet those needs. Compared to I3 metal, it has more memory, more usable, high performance storage and additional security. The example of a yield compared to I3 is about a 22% performance improvement and value. We're delivering four times the raw storage for about 2.2 times the cost. So in essence, you're getting raw storage at half the cost of an I3. So customers are excited. it's one of many instances that we will launch in the future for VMware cloud on AWS. And that's one of the advantages, is people can instantly take advantage of these innovations that we have. Just like we've done across all of the other instance families to meet workloads that customers are talking to us about that they want to run on this platform. >> Excellent, well, we really look forward. I know we're going to have a deep dive with Colbert to go into a little bit under the hood. And as I mentioned, got one of your joint customers PLM Insurance to understand their use case and how they're doing it. Matt and Fred, if you could just give us final takeaway, VMware cloud on AWS, Matt, and then Fred. >> Well, first off, thank you Stu for this opportunity to speak. I always enjoy spending time with you and certainly with Fred. We're just super excited and thrilled about our partnership. VMware couldn't be happier with our partnership with AWS from engineering to marketing, customer experience. Our teams are working together hand in glove to ensure success for our customers. VMware cloud on AWS is a truly unique service. Customers can continue business operations with minimal disruption in case of any uncertain event, they can migrate their workloads fast in a very cost effective manner with minimal risk. And we're really all about helping large enterprises as well as small and medium businesses accelerate their cloud migration and modernization journey. In fact, if you look across the board, we have seen enormous uptake. And now with these new offerings that we talked about, especially the two hosts production cluster, and VMware cloud Director service, we believe we're going to be more attractive to more organizations of various sizes. We're excited about the road ahead. >> And Fred. >> Customers are excited about this road, I would add. One, thank you guys for having us on. It's great to tell this story. The feedback has been phenomenal . The growth in the adoption and what we're seeing in terms of the use cases across the board is much stronger than we could have imagined. So it's really great to see this work that is hard to do to really merge the best of VMware and the best of AWS in a true deep partnership. And that takes work at all layers, whether it's a commerce system integration, or if it's the instance engineering and roadmap work across the board or networking. And customer support across the board for solutions that run on this platform. Both of us are joined to make sure customers are satisfied regardless of what it takes. That's something that no one else has. And it is unique. And it's a long term commitment that we have with each other to do the right thing for the solution. 'Cause we can't do it individually. This is something that truly only a joint partnership as strong as this is, and has gotten stronger can deliver. So we're super excited about it. I think you're going to continue to see the pace of innovation on what we're delivering increase. And so, with that, it's been great to work with VMware on this. It's really fun. >> Well, thank you, Fred. Thank you, Matt. Yeah, congratulation to your team. And of course, love hearing the customer stories and feedback. >> Thank you Stu. >> All right. Be sure to check out the other interviews as part of this announcement and check out theCUBE.net of course, we're covering VMware and AWS deeply including their shows whether they are in person or virtual. I'm Stu Miniman and thank you for watching theCUBE.

>>live from Atlanta, Georgia. It's the Q covering Answerable Fest 2019. Brought to you by >>Red Hat. >>Okay, welcome back. It runs two cubes. Live coverage of Ansel Fest here in Atlanta, Georgia. I'm John for a host of the Cube with stewed Minutemen. Analysts were looking angle. The Cube are next to guest Tom Anderson and most product owner. Red Hat is part of the sensible platform automation properly announced. And Richard Henshaw, product manager. Guys, welcome to the Cube Way had all the execs on yesterday and some customers all pretty jazzed up about this year, mainly around just the timing of how automation is really hitting the scene and some of the scale that's going on. You guys had big news with the answerable automation platform. New addition to the portfolio. What's the feedback? >>So far, I think the feedback has been super positive. We have customers have come to us. A lot of the last little one said, Hey, we're maturing. We're moving along the automation maturity curve, right, and we have multiple teams coming to us and saying, Hey, can you help us connect this other team? We've had a lot of success doing cloud provisioning or doing network automation were doing security automation. What have you and they're coming to us and saying, Help us give us kind of the story if you will, to be able to connect these other teams in our organization. And so that way I kind of feel the pole for this thing to move from a tool that automates this or that. This task for that task. Too much more of a platform center. >>It seems to be scaling out in terms of what automation is touching these days. And look at the numbers six million plus activations on get Hub versus other projects. So activities high in the community. But this seems to be much more broader. Scope now. Bring more things together. What's the rationale behind? What's the reasoning? What's the strategy? But the main thing is, >>automation is got to that point where it's becoming the skill set that we do. So it was always the focus. You know, I'm a database administrator. I'm assists out, man. I'm a middle where I'm a nap deaf on those people, then would do task inside their job. But now we're going to the point off, actually, anybody that can see apiece. Technology can automate piece technology in the clouds have shown This is the way to go forward with the things what we had. We bring that not just in places where it's being created from scratch, a new How do you bring that into what's existing? Because a lot of our customers have 20 or 30 years like a heritage in the I T estate. How do you do with all of that? You can't just rebuild everything into new as well. So you gotta be ableto automate across both of those areas and try and keep. You know, we say it's administrative efficiency versus organization effectiveness. Now how do I get to the point of the organization? Could be effective, supposed just doing things that make my job easier. And that's what we're gonna bring with applying automation capability that anybody can take advantage of. >>Richard. I actually felt the keynote demo this morning did a nice job of that line that they set it up with is this is this is tools that that all the various roles and teams just get it, and it's not the old traditional okay, I do my piece and set it up and then throw it over the wall. There was that, you know? Oh, I've got the notification and then some feedback loops and, you know, we huddled for something and it gets done rather fast, not magic. It's still when I get a certain piece done. Okay, I need to wait for it's actually be up and running, but you know, you're getting everybody into really a enterprise collaboration, almost with the tool driving those activities together >>on that. And that's why yesterday said that focus on collaboration is the great thing. All teams need to do that to be more successful because you get Maur inclusivity, Maurin puts. But organizations also need to coordinate what activities they're doing because they have rules, regulations, structures and standards they have to apply. Make sure that those people can do things in a way that's guided for them so that they're they're effective at what they're trying to do. >>Okay, I think I'm going to explain what's in the platform first because an engine and tower and there, what else is in there, what's new? What's what our customers is going to see. That's new. That's different >>it's the new components are automation Hope Collections, which is a technology inside answer ball itself. On also Automation Analytics and the casing is that engine and terrorist of the beating heart of the platform. But it's about building the body around the outside. So automation is about discover abilities like, What can we find out? What automation can I do that I'm allowed to do? Um, and let six is about the post activity. So I've automated all these things. I've done all this work well, How did it go? Who did what, who did? How much of what? How well did it work? How much did it failed? Succeeds and then, once you build on that, you don't start to expand out into other areas. So what? KP eyes, How much of what I do is automated versus no automated? You can start to instigate other aspects of business change, then Gamification amongst teams. Who's the Who's the boat? The closest motive here into the strategy input source toe How? >>Find out what's working right, essentially and sharing mechanism to for other groups in terms of knowing what's happening >>and how is my platform performing which areas are performing well, which airs might not be performing well. And then, as we move down the road, kind of how my performing against my peers are other organizations that are automating using the ants will automation platform doing? And am I keeping up on my doing better? That kind of stuff. >>So, Tom, there's a robust community as we was talking about. Their platform feels like it builds on yet to change the dynamic a little bit. When you talk about the automation hub and collections, you've already got a long list of the ecosystem vendors that are participating here. Bring us two through a little bit. What led Thio. You know all these announcements and where you expect, you know, how would this change the dynamics of >>the body? And maybe we'll split up that question. I'll talk a little bit about partners because it's both partners and customers in community here that's been driving us this way. I'll talk a little bit about partners and Rich talk about the customer piece here, which is partners have been traditionally distributing their content there. Ansel automation content through our engine capability. So our engine release cycle, or cadence, has been sort of the limiting factor to how fast they can get content out to their users and what what the collections does is part of the platforms allows us to separate those things. Rich talked about it yesterday in his keynote, having that stable platform. But you having yet having content be able to read fast. And our partners love that idea because they can content. They can develop content, create content, get into their users hands faster. So partners like at five and Microsoft you've seen on stage here are both huge contributors. And they've been part of the pole for us to get to the platform >>from a customer perspective. And the thing I love most about doing this job with the gas of customers is because I was a customer on Guy was danceable customer, and then I came over to this side on Dhe. I now go and see customers. I see what they've done, and I know what that's what I want to do. Or that's what I was trying to do. And she started to see those what people wanted to achieve, and I was said yesterday it is moving away from should I automate. How would we automate Maura? What should I automate? And so we'll start to see how customers are building their capabilities. And there's no there's many different ways people do. This is about different customers, >>you know. What's interesting is you guys have such a great success formula first. Well, congratulations. It's great to see how this is turning into such a wider market, because is not just the niche configuration management. More automation become with cloud to point a whole new wider category. So congratulations. The formula we see with success is good product, community customers adopting and then ecosystem that seems to be the successful former in these kinds of growth growth waves you guys experiencing? What is the partnering with you mentioned? S five Microsoft? Because that, to me, is gonna be a tipping point in a tel sign for you guys because you got the community. You got the customers that check check ecosystem. What's the partner angle? How do they involve? Take us through that. What's going on? They're >>so you're absolutely so you know, kind of platform velocity will be driven by partner adoption and how many things customers can automate on that platform or through that platform and for us I mean, the example was in the demo this morning where they went to the automation hub and they pulled down the F five collection, plugged it into a workflow, and they were automating. What are partners? Experience through their customers is Look, if I'm a customer, I have a multi cloud environment or hybrid cloud environment. I've got automation from AWS. I've got azure automation via more automation. Five. Got Sisko. I've got Palo Alto. I've got all these different automation tools to try and string them together, and the customers are coming and telling those vendors Look, we don't want to use your automation to end this automation tooling that one we want to use Ansel is the common substrate if you will automation substrate across this platform. So that's motivating the partners to come to us and say, Hey, I had I was out five Aspire last week, and they're all in a natural. I mean, it's really impressive to see just how much there in unanswerable and how much they're being driven by their customers when they do Ansell workshops without five, they say the attendance is amazing so they're being pulled by their customers and therefore the partners are coming to us. And that's driving our platform kind of usability across the across the scale. >>Another angle we'll see when we talk to the engineers of the partners that are actually doing the work to work with danceable is that they're seeing is ah, change also in how they it's no longer like an individual customer side individual day center because everything is so much more open and so much more visible. You know there's value in there, making it appealing and easy for their customers to gain advantage of what they're doing. And also the fact that the scales across those customers as well because they have their internal team's doing it, saying the same things and so bringing them to an automation capable, like Ansel have to push. That means that they also gained some of the customers appreciation for them, making it easier to do their tasking collaboration with us and you know, the best collaborations. We've got some more partners, all initiated by customers, saying Hey, I want you to go and get danceable content, >>the customer driving a lot of behavior, the guest system. Correct. On the just another point, we've been hearing a lot of security side separate sector, but cyber security. A lot of customers are building teams internally, Dev teams building their own stacks and then telling the suppliers a support my AP eyes. So now you start to see more of a P I integration point. Is that something that is gonna be something that you guys gonna be doubling down on? What's that? What's the approach there? How does that partner connected scale with the customers? So we've >>been eso Ansel security automation, which is the automation connecting I. P. S. C. P. S that kind of stuff. It is almost a replay of what we did the network automation space. So we saw a need in the network automation space. We feel that we became a catalyst in the community with our partners and our customers and our and our contributors. And after about three years now, Ansel Network automation is a huge piece of our business and adoption curve. We're doing the exactly see the exact same thing in the security automation space compliance. The side over here, we're talking about kind of automating the connections between your firewalls, your threat detection systems and all that kind of stuff. So we're working with a set of partners, whether it's Cisco, whether it's Palo Alto, whether it's whether it's resilient by the EMS, resilient and being able to connect and automate the connections between the threat and the response and and all of that kind of >>the same trajectory as the network automation >>Zach. Same trajectory, just runnin the same play and it's working out right now. We're on that kind of early part of that curve, that adoption curve, and we have partners jumping in with us. >>You're talking to customers. We've heard certain stories. You know how I got, you know, 1000 hours of work down to a dozen hours of work there. Is there anything built into the tool today that allows them to kind of generate those those hero stats O. R. Any anything along those lines? >>Talk about analytic committee from yes, >>well, again without any analytic side. I mean, those things starts become possible that one of the things we've been doing is turning on Maur more metrics. And it's actually about mining the data for the customer because Tower gives this great focal point for all the automation that's going on. It's somewhere that everything comes through. So when we export that and then we can we can do that work for all the customers rather than have to duel themselves. Then you start to build those pictures and we start with a few different areas. But as we advance with those and start, see how people use them and start having that conversation customers about what data they want to use and how they want to use it, I think that's gonna be very possible. You know, it's so >>important. E think was laid out here nicely. That automation goes from a tactical solution to more strategic, but more and more how customers can leverage that data and be data driven. That's that's gonna drive them for it. And any good customer examples you have of the outcomes. No, you're talking to a lot of >>PS one from this morning. Yeah, >>so I mean, I'll be Esther up this morning, and I think that the numbers they used in the demo that she's like, you know, last year they did 100,000 from launch to the end of the year. 100,000 changes through their platform on this year so far that in a 1,000,000. So now you know, from my recollection, that's about the same time frame on either side of the year. So that's a pretty impressive acceleration. Side of things. We've had other ones where people have said, You know how many times you were telling some customers yesterday? What used to take eight hours to a D R test with 20 or 30 people in for the weekend now takes 12 minutes for two People on the base is just pushing a few buttons just as they go through and confirm everything worked that that type of you can't get away from that type of change. >>J. P. Morgan example yesterday was pretty compelling. I mean, time savings and people are, I mean, this legit times. I mean, we're talking serious order of magnitude, time savings. So that's awesome. Then I want to ask you guys, Next is we're seeing another pattern in the market where amongst your customer base, where it's the same problem being automated, allover the place so playbooks become kind of key as that starts to happen is that where the insights kind of comes in? Can you help us kind of tie that together? Because if I'm a large enterprise with its I'm decentralized or centralized, are organized problem getting more gear? I'm getting more clouds, game or operations. There's more surface area of stuff and certainly five g I ot is coming around the corner. Mention security. All this is expanding to be much more touchpoints. Automation seems to be the killer app for this automation, those mundane task, but also identifying new things, right? Can you guys comment on that? >>Yeah, so maybe I'll start rich. You could jump in, which is a little bit around, uh, particularly those large accounts where you have these different disparate teams taking a approach to automate something, using Ansel and then be able to repeat or reuse that somewhere else. The organization. So that idea of being for them to be able to curate they're automation content that they've created. Maybe they pulled something down from galaxy. Maybe they've got something from our automation husband. They've made it their own, and now they want to curate that and spread it across the organization to either obviously become more efficient, but also in four standards. That's where automation hub is going to come into play here. Not only will it be a repo for certify content from us and our partners, but it will also be an opportunity for them to curate their own content and share it across the organization. >>Yeah, I think when you tie those two things together and you've got that call discover abilities, I had away go and find what I want. And then the next day, the next day, after you've run the automation, you then got the nerve to say, Well, who's who's using the right corporate approved rolls? Who's using the same set of rolls from the team that builds the standards to make sure you're gonna compliant build again, showing the demo That's just admin has his way of doing it, puts the security baseline application on top and you go, Oh, okay, who's running that security baseline continuously every time. So you can both imposed the the security standards in the way the build works. But you can also validate that everybody is actually doing the security standards. >>You what I find fascinating about what you guys are doing, and I think this is came out clearly yesterday and you guys are talking about it. And some of the community conversations is a social construct here. Going on is that there's a cultural shift where the benefits that you guys are throwing off with the automation is creating a network effect within the companies. So it's not just having a slack channel on texting. The servers are up or down. It's much more of a tighter bond between the stakeholders inside the company's. Because you have people from different geography is you have champions driving change. And there's some solidarity happening between the groups of people, whether they're silo door decentralized. So there's a whole new social network, almost a cultural shift that's happening with the standardization of the substrate. Can you guys comment on this dynamic? Did you see this coming? You planning forward? Are you doubling down on it? >>I think so. And we talk about community right on how important that is. But how did you create that community internally and so ask balls like the catalyst so most teams don't actually need to understand in their current day jobs. Get on all the Dev ops, focus tools or the next generation. Then you bring answer because they want to automate, and suddenly they go. Okay, Now I need to understand source control, and it's honest and version. I need to understand how to get pulls a full request on this and so on and so forth on it changes that provides this off. The catalyst for them to focus on what changed they have to make about how they work, because what they wanted to do was something that requires them to do you no good disciplines and good behaviors that previously there was no motivation or need to do. I think >>Bart for Microsoft hit on that yesterday. You know, if you saw Bart Session but their network engineers having to get familiar with concepts of using automation almost like software development, life cycles right and starting to manage those things in repose. And think of it that way, which is intimidating at first for people who are not used to. But once they're over that kind of humping understand that the answer language itself is simple, and our operations person admin can use it. No problem, >>he said himself. Didn't my network engineers have become network developers. >>It's funny watching and talking to a bunch of customers. They all have their automation journey that they're going through. And I hear the Gamification I'm like, Okay, what if I have certain levels I have to reach in it unlocked capabilities, you know, in the community along the way. Maybe that could build a built in the future. >>Maybe it's swag based, you know, you >>get level C shows that nice work environment when you're not talking about the server's down on some slack channel when you're actually focusing on work. Yeah, so that mean that's the shift. That's what I'm saying, going >>firefighting to being able to >>do for throwing bombs. Yeah, wars. And the guy was going through this >>myself. Now you start a lot of the different team to the deaf teams and the ops teams. And I say it would be nice if these teams don't have to talk to complain about something that hadn't worked. It was Mexican figured it was just like I just like to talk to you because you're my friend. My colleague and I'd like to have a chat because everything's working because it's all automated, so it's consistent. It's repeatable. That's a nice, nice way. It can change the way that people get to interact because it's no longer only phoned me up when something's wrong. I think that absent an interesting dynamic >>on our survey, our customer base in our community before things one of the four things that came up was happier employees. Because if they're getting stuff done and more efficient, they have more time to actually self actualizing their job. That becomes an interesting It's not just a checkbox in some HR manual actually really impact. >>And I kind of think the customers we've heard talk rvs, gentlemen, this morning gave me a lot of the fear initially is, well, I automate myself out of a job, and what we've heard from everybody is that's not absolutely That's not actually true at all. It just allows them to do higher value things that, um or pro >>after that big data, that automation thing. That's ridiculous. >>I didn't use it yesterday. My little Joe Comet with that is when I tried to explain to my father what I do. Andi just said Well, in the 19 seventies, they said that computers you mean we'll do a two day week on? That hasn't come >>true. Trade your beeper and for a phone full of pots. But Richard, Thanks for coming on. Thanks for unpacking the ants. Full automation platforms with features. Congratulations. Great to see the progress. Thank you, Jonah. Everybody will be following you guys to Cuba. Coverage here in Atlanta, First Amendment Stevens for day two of cube coverage after this short break.

>>live from Atlanta, Georgia. It's the Q covering Answerable Fest 2019. Brought to you by Red Hat. >>Hey, welcome back, everyone. It's the cubes. Live coverage here in Atlanta, Georgia, for answerable fast. Part of redheads. Big news. Ansel Automation Platform was announced. Among other things, they're great products. I'm John for ear, with my coast to minimum, but two great guests. You unpack all the automation platform features and benefits. Walter Bentley, senior manager. Automation Practicing red hat and vj Job Olu, director of Red Hat Consulting Guys Thanks for coming on. Thanks. So the activity is high. The buzz this year seems to be at an inflection point as this category really aperture grows big time seeing automation, touching a lot of things. Standardization. We heard glue layer standard substrate. This is what answer is becoming so lots of service opportunity, lot of happy customers, a lot of customers taking it to the next level. And a lot of customers trying to consolidate figure out hadn't make answerable kind of a standard of other couples coming in. You guys on the front lines doing this. What's the buzz? What's the main store? What's the top story going on around the service is how to deploy this. What are you guys seeing? >>So I think what we're seeing now is customers. Reactor building automation. For a long time, I have been looking at it at a very tactical level, which is very department very focused on silo. Whether country realizes with this modern develops and the change in how they actually go to the market, they need to bring the different teams together. So they're actually looking at watching my enterprise automation strategy be how to actually take what I've learned in one organization. And I still roll it across the enterprise so that now struggling and figuring out how to be scared, what we have, how do we change the culture of the organization to collaborate a lot more and actually drive automation across enterprise? >>Walter One of the things we've been we've talked about all the time in the Cube, and it's become kind of cliche. Digital transformation. Okay, I heard that before, and three things people process, technology, process and capability you guys have done You mentioned the siloed having capabilities that's been there. Check was done very, very well as a product technology Red hat in the portfolio. Great synergies. We talked about rail integration, all the benefits there. But the interesting thing this year that I've noticed is the people side of the equation is interesting. The people are engaged, is changing their role because automation inherently changes there, function in the organization because it takes away probably the mundane tasks. This is a big part of the equation. You guys air hitting that mark. How do you How are you guys seeing that? How you accelerating that has that changing your job, >>right? So customers are now economy realizing that going after automation in a very tactical manner is not exactly getting them what they want as a far as a return on investment in the automation. And what they're realizing is that they need to do more. And they're coming to us and more of an enterprise architectural level and say we want to talk mortgage grander strategy. And what they're coming to realize is that having just one small team of people that were calling the Dev Ops team is not gonna be ableto drive that adoption across the organization. So what we're trying to do is work with customers to show them how they collaboration in the culture of peace is huge. It's a huge part of adopting automation. Answerable is no longer considered a emerging tech anymore. And and I when I say that, I mean a lot of organizations are using answerable in many different ways. They're past that point, and now they're moving on to the next part, which is what is our holistic strategy and how we're gonna approach automation. And And we wanted leverage danceable, unanswerable tower to do that. >>Does that change how you guys do your roll out your practices in some of your programs? >>Well, we did have to make some adjustments in the sense of recognizing that the cultural piece is a pivotal part of it, and we can go in and we can write playbooks and rolls, and we can do all those things really great. But now we need to go in and help them structure themselves in a way where they can foster that collaboration and keep a moment. >>And I'll actually add on to that so reactive, large, open innovation labs three years ago, and what we have to learn doing that is using labs and allows practices to actually help customers embrace new culture and change. How they actually operate has actually helped us take those practices and bring it into our programs and kind of drive that to our customers. So we actually run our automation adoption program and the journey for customers through those practices that we actually learned in open innovation loves like open practice, library, even storming priority sliders and all of those modern techniques. So the goal is to help our customers understand those practices and actually embrace them and bring them into the organization to drive the change that that's looking for within the organization. >>A. J. Is there anything particular for those adoption practices when you're talking about Cloud? Because the communication amongst teams silos, you know, making things simpler is something that we absolutely do need for cloud. So I'm just curious how you connect kind of the cloud journey with the automation journey. >>So all of the journey program that actually created, whether it's a contender adoption program or the automation adoption program, we actually followed the same practices. So whether you're actually focused on a specific automation to, like, answerable or actually embarking on hybrid multicolored journey. We actually use the same practices so the customers don't have toe learn new things every time you have to go from one product, one of the so that actually brings a consistent experience to customers in driving change within the organization. So let's picture whether it is focusing automation focused on cloud migrating to the cloud. The practices remained the same, and the focus is about not trying to boil the ocean on day one. Try to break it into manageable chunks that give it a gun back to the business quickly learned from the mistakes that you make in each of the way and actually build upon it and actually be successful. >>So, Walter, I always love when we get to talk to the people that are working straight with customers because you come here to the conference, it's like, Oh, it's really easy Get started. It doesn't matter what role or what team you're in. Everybody could be part of it. But when you get to the actual customers, they're stumbling blocks. You know what are some of those things? What are some of the key things that stop people from taking advantage of all the wonderful things that all the users here are doing >>well. One of the things that I've identified and we've identified as a team is a lot of organizations always want to blow the ocean. And when and when it comes down to automation, they feel that if they are not doing this grand transformation and doing this this huge project, then they're not doing automation. And the reality is is that we're Trent with showing them that you can break things up into smaller chunks, as Visi alluded to. And even if you fail, you fail fast and you can start over again because you're dealing with things in a smaller chunk. And we've also noticed that by doing that, we're able to show them to return on investment faster so they can show their leadership, and their leadership can stand behind that and want to doom. Or so that's one of the areas. And then I kind of alluded to the other area, which is you have to have everybody involved. You want just subject matter experts riding content to do the automation. You don't want that just being one silo team. You want to have everybody involved and collaborate as much as possible. >>Maybe can you give us an example? Is about the r A y How fast to people get the results and, you know, prove toe scale this out. >>So with the automation adoption journey, what we're able to do is is that we come in and sit down with our customers and walk them through how to properly document their use cases. What the dependencies, What integration points, possibly even determining what is that? All right, ranking for that use case. And then we move them very quickly in the next increment. And in the next increment, we actually step them through, taking those use cases, breaking them down into minimum viable products and then actually putting those in place. So within a 90 day or maybe a little bit more than a little bit more than the 90 day window, were able to show the customer in many different parts of the organization how they're able to take advantage of automation and how the return on investment with hopes of obviously reducing either man hours or being able to handle something that is no a mundane task that you had to do manually over and over again. >>What are some of the things that people get confused about when they look at the breath of what's going on with the automation platform? When I see tool to platform, transitions are natural. We've seen that many times in the industry that you guys have had product success, got great community, that customers, they're active. And now you've got an ecosystem developing so kind of things air popping on all cylinders here. >>So the biggest challenge that we're actually being seeing customers is they actually now come to realize that it's very difficult to change the culture of the organization right there, actually embarking on this journey and the biggest confusion that is, how do we actually go make those changes? How do we bring some of the open practice some of the open source collaboration that Riddle had into the organization so they actually can operate in a more open source, collaborative way, and what we have actually learned is we actually have what we call its communities of practice within Red Hack. It is actually community off consultants, engineers and business owners. The actual collaborate and work together on offering the solutions to the market. So we're taking those experiences back to our customers and enabling them to create those communities of practice and automation community that everybody can be a part off. They can share experiences and actually learn from each other much easier than kind of being a fly on the wall or kind of throwing something or defense to see what sticks and what does not. >>What's interesting about the boiling the ocean comment you mentioned Walter and B J is your point. There is, is that the boil? The ocean is very aspirational. We need change rights. That's more of the thing outcome that they're looking for. But to get there is really about taking those first steps, and the folks on the front lines have you their applications. They're trying to solve or manage. Getting those winds is key. So one of things that I'm interested in is the analytics piece showing the victory so in the winds early is super important because that kind of shows the road map of what the outcome may look like versus the throw the kitchen, sink at it and, you know, boil the ocean of which we know to the failed strategy. Take us through those analytics. What are some of the things that people tend to knock down first? What are some of the analytical points that people look at for KP eyes? Can you share some insight into that? >>Sure, sure. So we always encourage our customers to go after the platform first. And I know that may sound the obvious, but the platform is something that is pretty straightforward. Every organization has it. Every organization struggles with provisioning, whether of a private cloud, public cloud, virtualization, you name it. So we have the customer kind of go after the platform first and look at some of their day to operations. And we're finding that that's where the heaviest return on investment really sits. And then once you get past that, we can start looking like in the end, work flows. You know, can they tie service now to tower, to be able to make a complete work flow of someone that's maybe requesting a BM, and they can actually go through that whole workflow by by leveraging tower and integration point like service. Now those air where we're finding that the operators of these systems going getting the fastest benefit. And it also, of course, benefits the business at the end of the day because they get what they need a lot fast. >>It's like a best practice and for you guys, you've seen that? Yes, sir. Docked with that out of E. J. What's your comment on all this? >>So going back to the question on metrics Automation is great, but it does not provide anybody to the business under the actually show. What was the impact, whether it's from a people standpoint, cost standpoint or anything else. So what we try to drive is enable customers. You can't build the baseline off where they are today, and as they're going through the incremental journey towards automation, measure the success of that automation against the baseline. And that actually adds the other way back to the customer. As a business you didn't get to see. I was creating a storage land. I was doing it probably 15 times a month. Take it or really even automated. It spend like a day created a playbook. I'll save myself probably half, of course, and that could be doing something that's better. So building those metrics and with the automation analytics that actually came in the platform trying those bass lines. So the number of executions, actually the huge value they'll actually be ableto realize the benefits of automation and measure the success off within enterprise. >>So I'm a customer prospect, like I want to get a win. I don't want to get fired. I won't get promoted. Right, I say, Okay, I gotta get a baseline and knock down some playbooks. Knock that down first. That what you're gonna getting it. That's a good starting. >>Starting. Understand your baseline today. Plan your backlog as to what you want to knock down. And once you know them down, build a dashboard as to what the benefits were, what the impact was actually built upon it. You actually will see an incremental growth in your success with automation. >>And then you go to the workflow and too, and that's your selling point for the next level. Absolutely good playbook. Is that the automation programs that in a nutshell or is that more of a best practice >>those components of the ah, the automation adoption journey that we allow the customer to kind of decide how they want their journey to be crafted. Of course, we have a very specific way of going about and walking them through it. But we allowed in the kind of crap that journey and that is those the two components that make up the automation. >>We're gonna put you guys on the spot with the tough question We heard from G. P. Morgan yesterday on the Kino, which I thought was very compelling. You know, days, hours, two minutes. All this is great stuff. It's real impact. Other customers validate that. So, congratulations. Can you guys share any anecdotal stories? You know, the name customers? Just about situations Where customs gone from this to this old way, new way and throw some numbers around Shearson Samantha >>is not a public reference, but I like to give you a customer. Exactly. Retail company. When we first actually went and ran a discovery session, it took them 72 days to approach in an instance. And the whole point was not because it took that long. It because every task haven't s l. A We're actually wait for the Acela manually. Go do that. We actually went in >>with our 72 hours, two days, two days, >>actually, going with the automation? We Actually, it was everybody was working on the S L. A. We actually brought it down to less than a day. So you just gave the developers looking to code 71 days back for him to start writing code. So that's the impact that we see automation bringing back to the customers, right? And you'll probably find the use causes across everywhere. Whether J. P. Morgan Chase you actually had the British Army and everyone here on states talking about it. It is powerful, but it is powerful relief you can measure and learn from it >>as the baseline point. Get some other examples because that's that's, uh, that's 70 days is that mostly delay its bureaucracy. It's It's so much time. >>It's manual past and many of the manual tasks that actually waiting for a person to do the task >>waterfall past things sound, although any examples you can >>yes, so the one example that always stands out to me and again, it's a pretty interviewing straight forward. Is Citrix patching? So we work with the organization. They were energy company, and they wanted to automate patching their searches environment, patching this citrus environment took six weekends and it took at least five or six engineers. And we're talking about in bringing an application owners, the folks who are handling the bare metal, all all that whole window. And by automating most of the patching process, we were able to bring it down to one weekend in one engineer who could do it from home and basically monitor the process instead of having to be interactive and active with it. And to me, that that was a huge win. Even though it's, you know, it's such dispatching. >>That's the marketing plan. Get your weekends back. Absolutely awesome. Shrimp on the barbecue, You know, Absolutely great job, guys. Thanks for the insight. Thanks. Come on. The key. Really appreciate it. Congratulations. Thank you. Thanks for sharing this queue here. Live coverage. Danceable fest. Where the big news is the ass. Full automation platform. Breaking it down here on the Q. I'm John. First to Minutemen. We're back with more coverage after this short break

>>live from Atlanta, Georgia. It's the Q covering Answerable Fest 2019. Brought to you by Red Hat. >>Okay, welcome back. Everyone is the live Cube coverage for two days here in Atlanta, Georgia for instable fest. I'm John Furrier, My Coast stupid in with the Cube. Ted Julian, vice president, product management, formerly CEO. Resilient now part of an IBM company. Back to doing V P of product management. Again, you don't really ask. Welcome to welcome back to the Cube. Good to see you. It's a >>pleasure to be here. Thanks. >>So I see product management. Holistic thinking is the big discussion here. The thing that's coming out of this event is configuration management, a siloed point activity now, more of a platform. You're seeing more of a systems architecture thinking going into some of these platform discussion. Security certainly has been there. They're here now. A lot of pressure, the out of things built in with security but maintaining the onslaught of threats and landscape changes going on. That's what you do. >>It's rough out there. >>What what's going on? What are the key trends that customers should be aware of when thinking about configurations? Because automation can help. Yeah, maybe all use cases, but >>way need to do something and because customers definitely need help. The alerts that they're dealing with them both in the volume and the severity is like nothing we've ever seen before. At the same time we're talking about earlier, right, the regulatory impact also really big difference just in the last two or three years. Huge skills, gap shortage also a critical problem. People can't find enough people to do this work. That's very difficult to keep so clearly we need to do something different. And there's no doubt that orchestration and automation and configuration management, as a component of that is we've barely scratched the surface of the potential there. To help solve some of >>the open source is, is helping a lot of people now. Seeing the light first was cloud, the skeptics said. There's no security and cloud now. There is open source securities there, but still, proprietary systems have security. But the mayor may not be talented. Your point, so automation is an opportunity. How are companies dealing with the mishmash or the multi platform solutions that are out there >>at your right to ask the question it is driving, um, the problem in a big way. Years ago we tried this security automation within security, like in the early days of firewalls and the Web and stuff like that, and it didn't go well. Unintended consequences. But think two things have changed. The environments changed, which has raised the stakes for the need to be able to do this stuff to a whole different level. But at the same time, the technology matured enormously. There's been multiple platforms shifts since then, and so security teams. They're both kind of desperate for a better solution, but also better options now than they had before. And so it's for this reason that we're starting to see people adopt orchestration and automation now in a way that we didn't see in the last time around. >>But the thing is that we were hearing here is that people are trying to automate the same things and some of these holes in the infrastructure, whether it's an S three bucket, this is basic stuff. This is not rocket science. Yeah, so on these known use cases, this makes total sense that a playbook or automation could help kind of feel those holes. >>We talk about it as a journey, you know? And I don't think any two organizations journey is the same, nor does it really even need to be the same. So we've seen some customers, for example, take the approach of what's a high volume type of incident that we deal with. And if we could apply orchestration and automation, they were gonna get great our eye right? We see 4000 phishing attacks every month or what have you. And that's certainly one way to do it. Yeah, but those other times with one, >>though, I have to go >>into that point. There's other people that are like, you know, gathering forensics on an end point right now. Incredibly manual process. We need to be able to do that globally. Do we do it every day? No, we don't. But if we could automate that and get those results back in more like a couple hours, as opposed to two days, because the guy we need in Sweden is out of the office or whatever, that could mean the difference between ah, low level incident were able to contain and something that goes global. And so that's the use case we wanna chase, so I don't think there's a right or wrong answer. >>Depends on the environment. Ah, whole host of the whole thing about security is no general purpose software anymore. You have to really make it custom because every environments different. >>I mean, gosh, you guys Aaron Arcee, right? It's nuts. There's thousands of vendors. I mean, there's hundreds of vendors that are really products. They're not the features masquerading as products that are masquerading as companies. But there's a reason why that's been the case, and it's because the risk is so high. >>The desperation to >>yes, exactly good word choice. Yeah. >>So what? One of the things that reminded me of security is this morning hearing about, you know, J P. Morgan going through the transformation from the ticketing system. Tau wait to make a great case study two. I need to be able to automate things. So, you know, we know that response time is so critically important in the security area. So tell us how that meshes together from security and automation toe be able to response, and you know, whether it be patching or, you know, responding to an attack, >>there's huge opportunity gains there on. We've seen customers do some really remarkable things that start with what you're discussing, which is if we could automate that fishing process to a degree and we have 4000 of those a month and we're able to maybe shrink a response time by 80 some or more percent, which is what we've seen. That's a lot of savings right there. And you know, the meat and potatoes there is. You already have a fishing Neil Alias. Probably that that employees report those phishing attacks, too. But what if we just monitored that? We stripped those emails, stripped out the attachments, and we could automate all the manual grunt work that an analyst would otherwise do right? Is that and is there in execute a ble? Is that execute herbal? Unknown bad? What command and control servers is it talk to? Are those known bads those air 10 tabs That analyst could have opening their browser if we could automate all of that. So when they go into the case, it's all just sitting there for them. Huge time saver. >>It's the great proof point of the people plus machines. How do you make make sure that the people that when they get the information, they're not having to do too much grunt work. They get really focused on the things where their expertise in skill sets are needed, as opposed to just buried. You >>nailed it. I mean, automation is a great role to play, but it really is a subset of orchestration. It's when you can bring those two things together and really fuse the people process and technology via orchestration. That's when you get really game changing improvements. >>Talk about the relationship between you guys or silly, unanswerable. Where's the fit? What you guys doing together? Why year give a quick plug for what you working on? >>Yeah, absolutely. So just by working with customers, we kind of discovered that there was this growing groundswell of answerable use within our customer base. It was largely an I T, whereas that IBM resilient. We're selling mainly in a security. Um, and once we uncovered that were like, Oh my gosh, there's all these integrations that already exists. They're already using them for I t use cases on that side of the house, but a lot of the same work needs to be done as part of a security workflow. And so we built our integration where, literally you install that integration into resilient. And we have a visual workflow editor where you can define a sophisticated workflow. And what's that? Integration is in place. All of your instable integrations air there for you. You drag and drop them on near workflow. You can string them all together. I mean, it's really, really powerful. >>It's interesting. Stew and I and David Lattin Ovary Brother Q. Post. We got hundreds of events we see every conference. Everyone's going for the control plane layer. Don't control the data. I mean, it's aspiration, but it's You can't just say it. You gotta earn it. What's happening here is interesting in this country. Configuration management. Little sector is growing up because they control the plumbing, the control of the hardware, the piece parts right to the operating system. So the abstraction lee. It provides great value as it moves up the stack, no doubt, and this is where the impact is, and you guys are seeing it. So this dependency between or the interdependence between software glue that ties the core underpinnings together, whether it's observe ability data. It's not a silo, just context, which they're integrating together. This the collision course? Yeah. What's the impact gonna be here? What's your thesis on this? >>That's why there is such great synergy is because they are really were sort of the domain expertise Doreen experts on the security point of view and our ability to leverage that automation set of functions that answerable provides into this framework where you can define that workflow and all the rest that specific to some security use cases eyes just very, very complimentary to one another. >>This is a new kind of a 2.0 Kana infrastructure dynamic, where this enables program ability. Because if these are the control switch is on the gear and the equipment and the network routes, >>yeah, and where things get really interesting is when you do that in the context of ah, workflow and a case management system, which is part of what we provide, then you get a lot of really valuable metrics that are otherwise lost. If you're purely just at a point to point tool to to automation realm, and that allows you to look at organizational improvements because you're able to marry. Well, first of all, you can do things like better understand what kind of value those I t controls. Air providing you and the automation that you're able to deliver. But you can relate that to your people in your process as well. And so you can see, for example, that while we have two teams, they're doing that the ones in the day shift ones in the night shift. They have access to the same tool sets, but ones more effective than the other. First of all, you know that. But then, having known that you can now drill into that and figure out OK, why is the day shift better than the night shift? And you can say, Oh, well, they're doing things a little bit differently, maybe with how they're orchestrating this other team is, Or maybe they're not orchestrating it. All right? And you're having that. And then now you are able to knowledge share and, um improve that process to drive that continuous improvement. >>So this operational efficiency comes from breaking down these siloed exactly mentality data sets or staff? >>Yeah, and pairing. That was not just as I said, the IittIe automation aspect of weaken now do that 80% faster. But what about the people in the process aspect? We even bring that into the mix as well. You get that next limit layer of insight which kind of allows you to tap into another layer of productivity. >>So this is an alignment issue. This brings that back. The core cultural shift of Dev ups. This is the beginning of what operationalize ng Dev ops looks like. >>Yes. Yeah, >>people are working together. >>It's really, really well put. I mean, it gets back to how this question got started, which is what is this energy? And to me, this energy really is that you have these siloed all too often siloed functions of I t operations and security operations. And this integration between resilient and answerable is the glue that starts to pull those two things together to unlock everything we just talked about. >>Awesome. That's great. >>Yeah, well, you know, research has shown that you know, Dev Ops embracing, delivering and shipping code more frequently actually can improve security. Not You know what? We have to go through this separate process and slow everything down. So are you seeing what? What is that kind of end state organization look like? Oh, >>I mean, that's a huge transformation. And it's something that on the security field we've been struggling with for the longest time, because when we were in kind of a waterfall mode of sort of doing things I mean your timeframe of uncovering a security issue, addressing it in code code, getting deployed to a meaningful enough fashion and over a long enough time to get a benefit that could be years, right? But now that we're in this model, I mean, that could be so much, much more quickly obtained and obviously not only other great just General Roo I improvements that come from that, but your ability to shrink the threat window as a result of this as well as huge and that is crucial because all the same things that us, the good guys they're doing to be able to automate our defenses, the bad guys, they're doing the same thing in terms of how they're automating their attacks. And so we really have to. We have no choice. >>So, Ted, you were acquired by IBM. IBM made quite sizeable acquisition with Red Hat. Tell us what your IBM with danceable. How that should play out >>there is just enormous potential. And answerable is a big, big piece of it, without a doubt. And I think we're just scratching the tip of the iceberg for the benefits. They're just in the from resilience point of view. And, you know, we're not to stay in touch because we have some really interesting things coming down the pike in terms of next gen platforms and the role that that answer will complain those two and how those stretch across the security portfolio with an IBM more broadly and then even beyond that. >>Well, we want to keep in touch. We certainly have initiated Cube coverage this year on security. Cyber little bit going for a broader than the enterprise. Looking at the edge edges. You know about the perimeter. Being just disabled by this new service area takes one penetration lightbulb I p address. So again, organizing and configuring these policy based systems sounds like a configuration problem. Yeah, it is. This is where the software's gonna do it. Ted, Thanks for coming on. Sharing the insights. Any other updates on your front. What do you are most interested in what? Give us a quick update on what you're working on. >>Um, well, we're just getting started with the answerable stuff, so that's particularly notable here, but also kind of modern, modernizing our portfolio, and that really gets to the whole open shift side of the equation and the Red Hat acquisition as well, So not ready to announce anything yet. But some interesting things going on there that that kind of pull this all together and that serve as just one part of the foundation for the marriage between red at 9 p.m. and wanna sneak a value can bring the >>customers any sneak peek at all on the new direct. Sorry time. At least lips sink ships Don't do it. Love to no. >>Blame me for asking. >>Hey, I got a feeling hasn't automation. And somewhere in there Ted, thanks for sharing your insights. It was great to see Cuba coverage here. Danceable fest. I'm jumpers to minimum, breaking out all the action as this new automation feeds A I's gonna change the stack game as data is moving up to stack. This isn't Cube. Bring all the data will be back up to the short break. >>Um

>>live from Atlanta, Georgia. It's the Q covering answerable Best 2019. Brought to you by Red Hat. >>Welcome back. Everyone keeps live coverage of answerable fast here in Atlanta. Georgia John for my coach do Minutemen were here. Stephanie chairs to the vice president of general manager of the rail business unit. Red Hat. Great to see you. Nice to see you, too. You have all your three year career. IBM now Invincible. Back, Back in the fold. >>Yeah. >>So last time we chatted at Red Hat Summit Rail. Eight. How's it going? What's the update? >>Yeah, so we launched. Related some. It was a huge opportunity for arrested Sort of Show it off to the world. A couple of key things we really wanted to do There was make sure that we showed up the red hat portfolio. It wasn't just a product launch. It was really a portfolio. Lunch feedback so far on relate has been great. We have a lot of adopters on their early. It's still pretty early days. When you think about it, it's been about a little over 445 months. So, um, still early days the feedback has been good. You know it's actually interesting when you run a subscription based software model, because customers can choose to go to eight when they need those features and when they assess those features and they can pick and choose how they go. But we have a lot of folks who have areas of relate that they're testing the feature function off. >>I saw a tweet you had on your Twitter feed 28 years old, still growing up, still cool. >>Yeah, >>I mean 28 years old, The world's an adult now >>know Lennox is running. The enterprise is now, and now it's about how do you bring new innovation in when we launched Relate. We focused really on two sectors. One was, how do we help you run your business more efficiently? And then how do we help you grow your business with innovation? One of the key things we did, which is probably the one that stuck with me the most, was we actually partnered with the Redhead Management Organization and we pulled in the capability of what's called insights into the product itself. So all carbon subscription 678 all include insights, which is a rules based engine built upon the data that we have from, you know, over 15 years of helping customers run large scale Lennox deployments. And we leverage that data in order to bring that directly to customers. And that's been huge for us. And it's not only it's a first step into getting into answerable. >>I want to get your thoughts on We're here and Ansel Fest ate one of our two day coverage. The Red Hat announced the answer Automation platform. I'll see. That's the news. Why is this show so important in your mind? I mean, you see the internal. You've seen the history of the industry's a lot of technology changes happening in the modern enterprises. Now, as things become modernized both public sector and commercial, what's the most important thing happening? Why is this as well fest so important this year? >>To me, it comes down to, I'd say, kind of two key things. Management and automation are becoming one of the key decision makers that we see in our customers, and that's really driven by. They need to be efficient with what they have running today, and they need to be able to scale and grow into innovation. platform. So management and automation is a core critical decision point. I think the other aspect is, you know, Lennox started out 28 years ago proving to the world how open source development drives innovation. And that's what you see here. A danceable fest. This is the community coming together to drive innovation, super modular, able to provide impact right from everything from how you run your legacy systems to how you bring security to it into how do you bring new applications and deploy them in a safe and consistent way? It spans the whole gambit. >>So, Stephanie, you know, there's so much change going on in the industry you talked about, you know what's happening in Relate. I actually saw a couple of hello world T shirts which were given out at Summit in Boston this year, maybe help tie together how answerable fits into this. How does it help customers, you know, take advantage of the latest technology and and and move their companies along to be able to take advantage of some of the new features? >>Yeah, and so I really believe, of course, that unopened hybrid cloud, which is our vision of where people want to go, You need Lennox. So Lenox sits at the foundation. But to really deploy it in in a reasonable way in a Safeway in an efficient way, you need management on automation. So we've started on this journey. When we launched, we announced its summit that we brought in insights and that was our first step included in we've seen incredible uptick. So, um, when we launch, we've seen 87% increase since May in the number of systems that are linked in, we're seeing 33% more increase in coverage of rules based and 152% increase in customers who are using it. What that does is it creates a community of people using and getting value from it, but also giving value back because the more data we have, the better the rules get. So one interesting thing at the end of May, the engineering team they worked with all the customers that currently have insights. Lincoln and they did a scan for Specter meltdown, which, of course, everyone knows about in the industry with the customers who had systems hooked up, they found 100 and 76,000 customer systems that were vulnerable to Spector meltdown. What we did was we had unanswerable playbook that could re mediate that problem. We proactively alerted those customers. So now you start to see problems get identified with something like insights. Now you bring an answerable and answerable tower. You can effectively decide. So I want to re mediate. I can re mediate automatically. I can schedule that remediation for what's best for my company. So, you know, we've tied these three things together kind of in the stepwise function. In fact, if you have a real subscription, you've hooked up to insights. If insights finds an issue, there's a fix it and with answerable, creates a playbook. Now I can use that playbook and answerable tower so really ties through nicely through the whole portfolio to be able to to do everything in feeling. >>It also creates collaboration to these playbooks can be portable, move across the organization, do it once. That's the automation pieces that >>yeah, absolutely. So now we're seeing automation. How do you look at it across multiple teams within an organization so you could have a tower, a tower admin be able to set rules and boundaries for teams, I can have an array l writes. I t operations person be able to create playbooks for the security protocols. How do I set up a system being able to do things repeatedly and consistently brings a whole lot of value and security and efficiency? >>One of the powers of answerable is that it can live in a header Ji. In this environment, you got your windows environment. You know, I've talked of'em where customers that are using it and, of course, in cloud help help us understand kind of the realm. You know why rail plus answerable is, you know, an optimal solution for customers in those header ingenious environment. And what would love I heard a little bit in the keynote about kind of the road map where it's going. Maybe you can talk to about where those would fit together. >>Yeah, perfect and e think your comment about Header genius World is is Keith. That is the way we live, And folks will have to live in a head or a genius, a cz far as the eye can see. And I think that's part of the value, right to bring choice when you look at what we do with rail because of the close collaboration we have between my team and Theo team. That in the management bu around insights are engineering team is actively building rules so we can bring added value from the sense of we have our red Hat engineers who build rail creating rules to mitigate things, to help things with migration. So us develop well, Aden adoption. We put in in place upgrades, of course, in the product. But also there's a whole set of rules curated, supported by red hat that help you upgrade to relate from a prior version. So it's the tight engineering collaboration that we can bring. But to your point, it's, you know, we want to make sure that answerable and answerable tower and the rules that are set up bring added value to rebel and make that simple. But it does have to be in a head of a genius world. I'm gonna live with neighbors in any data center. Of course, >>what one of the pieces of the announcement talked about collections, eyes there, anything specific from from your team that it should be pointed out about from a collections in the platform announcement. >>So I think I think his collection starts to starts to grow on. Git brings out sort of the the simplicity of being pulled. It pulled playbooks and rolls on and pull that all in tow. One spot. We'll be looking at key scenarios that we pulled together that mean the most Terrell customers. Migration, of course, is one. We have other spaces, of course. Where we work with key ecosystem partners, of course, ASAP, Hana, running on rail has been a big focus for us in partnership with S A P. We have a playbook for installing ASAP Hana on Well, so this collaboration will continue to grow. I think collections offers a huge opportunity for a simpler experience to be able to kind of do a automated solution, if you will kind of on your floor >>automation for all. That's the theme here. >>That's what I >>want to get your thoughts on. The comment you made about analytical analytics keep it goes inside rail. This seems to be a key area for insights. Tying the two things together so kind of cohesive. But decoupled. I see how that works. What kind of analytical cables are you guys serving up today and what's coming around the corner because environments are changing. Hybrid and multi cloud are part of what everyone's talking about. Take care of the on premises. First, take care of the public cloud. Now, hybrids now on operating model has to look the same. This is a key thing. What kind of new capabilities of analytics do you see? >>Yes, that's it. So let me step you through that a little bit because because your point is exactly right. Our goal is to provide a single experience that can be on Prem or off Prem and provides value across both, as as you choose to deploy. So insights, which is the analytics engine that we use built upon our data. You can have that on Prem with. Well, you can have it off from with well, in the public cloud. So where we have data coming in from customers who are running well on the public cloud, so that provides a single view. So if you if you see a security vulnerability, you can skin your entire environment, Which is great. Um, I mentioned earlier. The more people we have participating, the more value comes so new rules are being created. So as a subscription model, you get more value as you go. And you can see the automation analytics that was announced today as part of the platform. So that brings analytics capabilities to, you know, first to be able to see what who's running what, how much value they're getting out of analytics, that the presentation by J. P. Morgan Chase was really compelling to see the value that automation is delivering to them. For a company to be ableto look at that in a dashboard with analytics automation, that's huge value, they can decide. Do we need to leverage it here more? Do we need to bring it value value here? Now you combine those two together, right? It's it, And being informed is the best. >>I want to get your reaction way Make common. Are opening student in our opening segment around the J. P. Morgan comment, you know, hours, two minutes, days, two minutes, depending on what the configurations. Automation is a wonderful thing. Where pro automation, as you know, we think it's gonna be huge category, but we took, um ah survey inside our community. We asked our practitioners in our community members about automation, and then they came back with the following. I want to get your reaction. Four. Major benefits. Automation focused efforts allows for better results. Efficiency. Security is a key driver in all this. You mentioned that automation drives job satisfaction, and then finally, the infrastructure Dev ops folks are getting re skilled up the stack as the software distraction. Those are the four main points of why automation is impacting enterprise. Do you agree with that? You make comments on some of those points? >>No, I do. I agree. I think skills is one thing that we've seen over and over again. Skills is skills. His key. We see it in Lennox. We have to help, right? Bridge window skills in tow. Lennox skills. I think automation that helps with skills development helps not only individuals but helps the company. I think the 2nd 2nd piece that you mentioned about job satisfaction at the end of the day, all of us want to have impact. And when you can leverage automation for one individual toe, have impact that that is much broader than they could do before with manual tasks. That's just that's just >>you know, Stew and I were talking also about the one of the key note keywords that kept on coming out and the keynote was scales scales, driving a lot of change in the industry at many levels. Certainly, software automation drives more value. When you have scale because you scaling more stuff, you can manually configure his stuff. A scale software certainly is gonna be a big part of that. But the role of cloud providers, the big cloud providers see IBM, Amazon, all the big enterprises like Microsoft. They're traveling massive scale. So there's a huge change in the open source community around how to deal with scale. This is a big topic of conversation. What's your thoughts on this? Sending general opinions on how the scales change in the open source equation. Is it more towards platforms, less tools, vice versa? Is there any trends? You see? >>I think it's interesting because I think when I think a scale, I think both volume right or quantity as the hyper scale ours do. I think also it's about complexity. I think I think the public clouds have great volume that they have to deal with in numbers of systems, but they have the ability to customize leveraging development teams and leveraging open source software they can customize. They can customize all the way down to the servers and the processor chips. As we know for most folks, right, they scale. But when they scale across on Prem in off from its adding complexity for them. And I think automation has value both in solving volume issues around scale, but also in complexity issues around scale. So even you know mid size businesses if they want a leverage on Prem, an off ramp to them, that's complexity scale. And I think automation has a huge amount of value to >>bring that abstracts away. The complexity automated, absolutely prized job satisfaction but also benefits of efficiency >>absolutely intimately. The greatest value of efficiency is now. There's more time to bring an innovation right. It's a zoo, Stephanie. >>Last thing I wondering, What feedback are you hearing from customers? You know, one of the things that struck me we're talking about the J. P. Morgan is they made great progress. But he said they had about a year of working with security of the cyber, the control groups to help get them through that knothole of allowing them toe really deploy automation. So, you know, usually something like answerable. You think? Oh, I can get a team. Let me get it going. But, oh, wait, no, Hold on. Corporate needs to make its way through. What is that something you hear generally? Is that a large enterprise thing? You know what? What are you hearing from customers that you're >>talking? I think I think we see it more and more, and it came up in the discussions today. The technical aspect is one aspect. The sort of cultural or the ability to pull it in is a whole separate aspect. And you think that technology from all of us who are engineers, we think, Well, that's the tough bit. But actually, the culture bit is just it's hard. One thing that that I see over and over again is the way cos air structured has a big impact. The more silo the teams are, do they have a way to communicate because fixing that so that you, when you bring in automation, it has that ability to sort of drive more ubiquitous value across. But if you're not structured toe leverage that it's really hard if your I T ops guys don't talk to the application folks bringing that value is very hard, so I think it is kind of going along in parallel right. The technical capabilities is one aspect. How you get your organization structure to reap the benefits is another aspect, and it's a journey. That's that's really what I see from folks. It is a journey. And, um, I think it's inspiring to see the stories here when they come back and talk about it. But to me the most, the greatest thing about it's just start right. Just start wherever you are and and our goal is to try and help on ramps for folks wherever their journey is, >>is a graft over people's careers and certainly the modernization of the enterprise and public sector and governments from how they procure technology to how they deploy and consume it is radically changing very quickly. By the way too scale on these things were happening. I've got to get your take on. I want to get your expert opinion on this because you have been in the industry of some of the different experiences. The cloud one Datta was the era of compute storage startups started Airbnb start all these companies examples of cloud scale. But now, as we start to get into the impact to businesses in the enterprise with hybrid multi cloud, there's a cloud. 2.0 equation again mentioned Observe Ability was just network management at White Space. Small category. Which company going public? It's important now kind of subsystem of cloud 2.0, automation seems to feel the same way we believe. What's your definition of cloud to point of cloud? One daughter was simply stand up some storage and compete. Use the public cloud and cloud to point is enterprise. What does that mean to you? What? How would you describe cloud to point? >>So my view is Cloud one Dato was all about capability. Cloud to Dato is all about experience, and that is bringing a whole do way that we look at every product in the stack, right? It has to be a seamless, simple experience, and that's where automation and management comes in in spades. Because all of that stuff you needed incapability having it be secure, having it be reliable, resilient. All of that still has to be there. But now you now you need the experience or to me, it's all about the experience and how you pull that together. And that's why we're hoping. You know, I'm thrilled here to be a danceable fast cause. The more I can work with the teams that are doing answerable and insights and the management aspect in the automation, it'll make the rail experience better >>than people think it's. Software drives it all. Absolutely. Adam, Thanks for sharing your insights on the case. Appreciate you coming back on and great to see you. >>Great to be here. Good to see >>you. Coverage here in Atlanta. I'm John for Stupid Men Cube coverage here and answerable Fest Maur coverage. After the short break, we'll be right back. >>Um

>>live from Atlanta, Georgia. It's the Q covering Answerable fest 2019. Brought to you by red hat. >>Hey, welcome back. It was a cube. Live coverage here in Atlanta for answerable fast part of red hats. Event around automation anywhere. I'm John for it. With my coast to Minutemen. Next guest's Abram Snell, senior I t analyst at the Southern Company Customer Invincible. Great to have you on. Thanks for coming on. >>I'm glad to be here. >>So tell us what? Your company What do you do there? About what is Southern Company? So So what do you do there? >>Yeah. Yeah, Southern Company is Ah ah. Very large. Probably one of top three energy providers. And we're based in the Southeast. So we're energy utility. So we do electric and gas. We also generate electric and gas. Oh, >>and your role there. >>And and there I am. So, in infrastructure, we build systems platforms s o. I'm a kind of OS specialist, and so we build red hat platforms for applications. >>And what's your what's your goal here? The answerable fest this year? >>Well, a couple of things. So I submitted a talk, and so I'll be doing a talk here. But the other thing is just to learn other ways. How to increase the automation footprint at our company. Abraham, why don't you >>walk us through that? Some we heard in the keynote red hat talked about their journey. Microsoft talk about their journey J. P. Morgan did. So I'm assuming that, you know you're undergoing some kind of journey. Also bring bring us a little bit, you know, bring us back to kind of his far back as you can. And you know where things have been going. >>Yes, So I heard about answerable during the time when we were trying to automate patch process. So our patch process was taken about 1900 man hours per year. So it was It was highly manual. And so we were looking at some other things, like a puppet was out cf engine, which is incredibly complex. And then, in a sales meeting, you heard about answerable because that was the direction that red hat was going. So I looked it up, um, and learned about it. And that's the other thing. The various to entry were so low. It's modular. You could jump in and start learning you can write a play book without knowing everything else about answerable. And so So that's how we got started with the journey. >>Okay, so the patches you said over, like, 1900 hours in a year. Do you know how long addiction now? >>Yeah, we reduced that to about 70 hours. So it was a massive reduction in the amount of time that we spent patching. >>Okay. And, you know, have you been been expanding? Answerable and you know what? What? Where's it going from? Your footprint? >>Yes. So as a West platform group, we are doing, you know, we do deployments now with answerable. Let's do everything with answer. Well, obviously someone just asked me to deploy some files. I was like, You have no right answer playbook for that or use one that we already have. So now we have other groups the database of folks are now using answerable to patch their databases. And the network folks have been asking us questions, so maybe maybe they'll be getting on board. But yet, from my standpoint, I think I think we should expand, answerable. I don't know if it's if that's my call, that's a little above my pay grade, but I'm definitely going to do everything I can to make sure that >>you like the play book concept. >>Oh, yeah. Oh, absolutely. >>I mean, you had a lot of playbooks developing feelings, like growing everywhere. People tend to use them or >>Yeah, so, you know, I learned something today that there's gonna be, like, kind of like a depository, and that that will actually work right now there. We probably have about 150 playbooks, but people aren't able to just use them because they're just kind of stored >>something built. So what you're talking to be eventually going to a talk. >>Oh, yeah. How, um how automation can can reduce business conflict. So we're gonna talk about creating automation. Is that kind of reduced the siloed conflict. And so I'll be talking about creating an easy button for groups who, you know, when you say, Hey, I want a patch that now you can't patch this week. And so, rather than having an argument about when we're gonna patch, just give them an easy button and say, Hey, when you're ready, press this button and it'll patch and just let us know if anything turns red and we'll fix >>it. People want to get rid of the comfort. They like the conflict there. Let me talk about the culture because this is, you know, this conflict. Been there? Yeah. Oh, yeah. What's that? What's the culture like with the new capability? >>S O. I mean, the culture is getting better. I wouldn't say we're there. We're on that journey that hit that he mentioned. But when you say people want conflict, >>that they're used to it. >>Yeah. I mean, there's no way I'm ready. The problem with that is it slows business. So at the end of the day, what were all you know, therefore happens a whole lot slower because we're back and forth and were in conflict. So what automation does is it literally speeds up what we need to be doing. But it also helps us to be friends alone away. So >>don't get your thoughts on. So we did a little survey to our cube community of Amon Automation. You know, a couple of key bullet points a week. We're reporting on earlier much everyone's agreed. But don't get your reaction. You're doing it. One benefit of automation is for the teams are focus efforts on better results. You agree with that? Yes. Security is a big part of it. So automating Help security? >>Yeah, I think it does. I think any time you could do something the same way every time you minimize the ability for human error. So I think that helps security. Um and so I'm not a security gap, but >>well, here's the next one will get your thoughts on you mentioned culture, automation, drives, job satisfaction. >>Oh, yeah, Yeah. What? That So A few ways that just come to mind immediately. One is I have a greater opportunity for success because it's gonna work the same way every time, right? The second thing is it kinda gives people options. So I talk about this in my talk. You know, we we tend to want options around the window where sometimes even the how on dso automation can actually do that. The and the third thing is, it really does free us up to do important stuff, you know? And so when I'm spending my time doing tedious things like paperwork, automation helps me now to do the stuff I really want to do. The stuff. I come to work >>and there's new jobs Being created on this means new opportunities. This creates growth for people that are actually new, higher level skills. >>Well, one of the cultural aspects of it is people are afraid that automation kill my job. Right. But honestly, when you start building this stuff, we're finding out that man. It takes ah village to do all this stuff. So it really does take, allow us to learn new things and probably send our careers in another direction. I hadn't seen a job that was killed. Yeah. >>Yeah, well, that's all these cripples love to get better jobs and doing the mundane stuff. The final point on the quick poll survey of our community was that infrastructure and Dev ops or dead professionals, developers or Dev Ops they get congee re skilling with this opportunity because it's kind of new things. Is Reese killing a big part of the culture in the trenches? When you start looking at these new opportunities or are people embracing that? What's the vibe there? What's your take on >>s? Oh, my take on it is It's probably some kind of bill curve. Right? So you got probably 10% of the folks that are gung ho. You gotta probably that middle 80% That's like, either way. And then you got 10% there. Like, dude, I'm about to retire. I don't wanna do this anymore. Whatever I'm afraid or I don't think I could do it. So But, you know, that opportunity is that I mean, I was actually trained in college as a developer. I never wanted to do development, so I didn't have been an infrastructure. But now I'm getting to do development again, and I kinda like it, right? It's kind of like, OK, >>hey, books. You got recipe, >>right? And I still get to be an infrastructure guy. So, um, I think there's definitely opportunity for growth for that 90% that says, Hey, we want to do >>all the scale and all. All the plumbing is gonna be still running. You got a utility network. You still needed storage and compute. Get the abstraction layers kind of building on top of that scale. Yes. So the question for you is you're gonna take this across the company and >>am I gonna be Oh, yeah. Let's >>change your Southern. >>Let me get that promotion. So you know, I am definitely champion being a champion for because I want to share this. I mean, it just kind of makes life better. So, yes, the plan is Hey, let me share this Automation is great, but we actually have an automation team. There's a management team and a structure around automation, and they allow me to kind of be on their, you know, come to their meetings and do some of the things with them. So, yeah, I'm looking forward to it, too. It propagating through Southern. >>Well, you certainly nailed the use case. >>Abraham does. Does cloud in a public cloud fit into this discussion at all yet from your group? >>So public Cloud is in the discussion, and automation is a part of that discussion. But I think we're kind of early on in that process. There's not a whole lot around it, but but the one thing where it really does fit is the way of thinking, right. So now, to be cloud, native automation is just really a part of that. And so you have to start thinking in a cloud native fashion. And that's beginning, right? Mostly now it's in the strategy time for but implementation of something's coming. And the more we do automation, the more it kind of gets you ready for this idea of cloud. >>Yeah, E. I think that's a great point. You talk about that mind set the other thing when you talk about, you know, infrastructures. Infrastructure used to be kind of the boat anchor that prevented you from responding to the business. It was okay. Can you do this? Yeah. Get to it in the next 6 to 12 months, maybe if we have the budget and everything, How does how does automation help you respond to the business and beam or a group of Yes. >>Well, I'm glad you said that because of infrastructure has often been seen as the party of no right. No. And don't come back. But with the automation, what we're seeing is there a lot of things that we can do because one of the things that you don't want to happen an infrastructure is create a task that I could never get rid of. Okay, I'm gonna be doing this forever and a day. But now, if it becomes a push button item and I could do it consistently every time. It's like, Oh, yeah, why don't we do that? Why haven't we been doing that in the past? So yeah, that's exactly you know, a great point is that now infrastructure can feel like a part of the party rather than being the people sitting in the corner. They don't want to do this, right? >>Yeah, it's great. It's a critical component of scale. Am I want a final after my final question for you is you've had a great experience with answerable automation. This is the whole conference automation for all. What's the learning? Your big takeaway. Over the past couple of years, as you've been on this wave and it's gonna be bigger behind you, the clouds come in a lot more. A lot more scale, more software applications. What's your big learning? What's your big takeaway? >>You know, my big takeaway, believe it or not, is really not technical. So I've been doing this 23 years or so years, and I never thought that there would be a tool that could really change in effect culture the way it has. And so for me, my big takeaway is mean this automation thing. Help for my job in ways that that's not technical, You know? It helps me, you know, work better with other teams. Now their networks of folks that I work with who I never would have worked with before who were doing automation. We get along. It's not them over their social network. It's a social network. And who knew that a tool could could make that happen? >>You have more collaborative relationship, get someone's face, and no one's gonna get offended. Conversations share playbooks. >>Yeah, because because with automation now we we can all focus on the big picture. What is the corporate goal? Not what is my You know, I just want to keep this running. I just want to keep this up. Why are we keeping it up? Why are we keeping it running? What is the corporate go >>Better Teamwork does every vision. Thank you for coming on. Sharing your insights. Appreciate >>it. Yeah. Finally, red hat accelerators. Maybe just explain the shirt in the hat. >>Oh, yeah, Kind of flood. The accelerated. So the accelerator's are like a customer at Advocacy group. And so what has happened is and I was actually a charter member of the accelerator, so I gotta plug that too. Started a couple of years ago. They just call us and talk about new stuff that's coming out at Red Hat and go. What do you think? And we are brutally frank with them, sometimes to brutally. What? That and they keep coming back for more. I'm thinking, really, Guys, we just abused you. But no, it is a great group of guys and girls. And in a Ford And for us, the customers, it affords us opportunities to see new technology and gets away >>again. Collaboration scales as well there. >>Oh, absolutely. And you get to see what other companies are doing. Like, you know, my peers. I go, Hey, what are you doing in Cloud? What are you doing in automation on? So you get the get the shit >>that's doing. I interviewed a lot of the red headed folks. They love the feedback, Their technical group. They want brutal honesty. Okay, you're feeding the product requirements. What they want. Thanks for coming on. So now here on the queue Jumpers Do Minutemen for more coverage here, Answerable fest day One of two days of coverage will be right back

>> live from Boston, Massachusetts. It's the Cube covering A W s reinforce 2019. Brought to you by Amazon Web service is and its ecosystem partners. >> Well, welcome back. Everyone's Cube Live coverage here in Boston, Massachusetts, for AWS. Reinforce Amazon Web sources. First inaugural conference around security. It's not Osama. It's a branded event. Big time ecosystem developing. We have returning here. Cube Alumni Bill Jeff for VP of strategy and the partnerships that Iron Net Cyber Security Company. Welcome back. Thanks. General Keith Alexander, who was on a week and 1/2 ago. And it was public sector summit. Good to see you. Good >> to see you. Thanks for >> having my back, but I want to get into some of the Iran cyber communities. We had General Qi 1000. He was the original commander of the division. So important discussions that have around that. But don't get your take on the event. You guys, you're building a business. The minute cyber involved in public sector. This is commercial private partnership. Public relations coming together. Yeah. Your models are sharing so bringing public and private together important. >> Now that's exactly right. And it's really great to be here with eight of us were really close partner of AWS is we'll work with them our entire back in today. Runs on AWS really need opportunity. Get into the ecosystem, meet some of the folks that are working that we might work with my partner but to deliver a great product, right? And you're seeing a lot of people move to cloud, right? And so you know some of the big announcement that are happening here today. We're willing. We're looking to partner up with eight of us and be a first time provider for some key new Proactiv elves. AWS is launching in their own platform here today. So that's a really neat thing for us to be partnered up with this thing. Awesome organization. I'm doing some of >> the focus areas around reinforcing your party with Amazon shares for specifics. >> Yes. So I don't know whether they announced this capability where they're doing the announcement yesterday or today. So I forget which one so I'll leave that leave that leave that once pursued peace out. But the main thing is, they're announcing couple of new technology plays way our launch party with them on the civility place. So we're gonna be able to do what we were only wanted to do on Prem. We're gonna be able to do in the cloud with AWS in the cloud formation so that we'll deliver the same kind of guy that would deliver on prime customers inside their own cloud environments and their hybrid environment. So it's a it's a it's a sea change for us. The company, a sea change for a is delivering that new capability to their customers and really be able to defend a cloud network the way you would nonpregnant game changer >> described that value, if you would. >> Well, so you know, one of the key things about about a non pregnant where you could do you could look at all the flows coming past you. You look at all the data, look at in real time and develop behavior. Lana looks over. That's what we're doing our own prime customers today in the cloud with his world who looked a lox, right? And now, with the weight of your capability, we're gonna be able to integrate that and do a lot Maur the way we would in a in a in a normal sort of on Prem environment. So you really did love that. Really? Capability of scale >> Wagon is always killed. The predictive analytics, our visibility and what you could do. And too late. Exactly. Right. You guys solve that with this. What are some of the challenges that you see in cloud security that are different than on premise? Because that's the sea, So conversation we've been hearing. Sure, I know on premise. I didn't do it on premises for awhile. What's the difference between the challenge sets, the challenges and the opportunities they provide? >> Well, the opportunities air really neat, right? Because you've got that even they have a shared responsibility model, which is a little different than you officially have it. When it's on Prem, it's all yours essential. You own that responsibility and it is what it is in the cloud. Its share responsible to cloud provider the data holder. Right? But what's really cool about the cloud is you could deliver some really interesting Is that scale you do patch updates simultaneously, all your all your back end all your clients systems, even if depending how your provisioning cloud service is, you could deliver that update in real time. You have to worry about. I got to go to individual systems and update them, and some are updated. Summer passed. Some aren't right. Your servers are packed simultaneously. You take him down, you're bringing back up and they're ready to go, right? That's a really capability that for a sigh. So you're delivering this thing at scale. It's awesome now, So the challenge is right. It's a new environment so that you haven't dealt with before. A lot of times you feel the hybrid environment governed both an on Prem in sanitation and class sensation. Those have to talkto one another, right? And you might think about Well, how do I secure those those connections right now? And I think about spending money over here when I got all seduced to spend up here in the cloud. And that's gonna be a hard thing precisely to figure out, too. And so there are some challenges, but the great thing is, you got a whole ecosystem. Providers were one of them here in the AWS ecosystem. There are a lot here today, and you've got eight of us as a part of self who wants to make sure that they're super secure, but so are yours. Because if you have a problem in their cloud, that's a challenge. Them to market this other people. You talk about >> your story because your way interviews A couple weeks ago, you made a comment. I'm a recovering lawyer, kind of. You know, we all laughed, but you really start out in law, right? >> How did you end up here? Yeah, well, the truth is, I grew up sort of a technology or myself. My first computer is a trash 80 a trs 80 color computer. RadioShack four k of RAM on board, right. We only >> a true TRS 80. Only when I know what you're saying. That >> it was a beautiful system, right? Way stored with sword programs on cassette tapes. Right? And when we operated from four Keita 16 k way were the talk of the Rainbow Computer Club in Santa Monica, California Game changer. It was a game here for 16. Warning in with 60 give onboard. Ram. I mean, this is this is what you gonna do. And so you know, I went from that and I in >> trouble or something, you got to go to law school like you're right >> I mean, you know, look, I mean, you know it. So my dad, that was a chemist, right? So he loved computers, love science. But he also had an unrequited political boners body. He grew up in East Africa, Tanzania. It was always thought that he might be a minister in government. The Socialist came to power. They they had to leave you at the end of the day. And he came to the states and doing chemistry, which is course studies. But he still loved politics. So he raised at NPR. So when I went to college, I studied political science. But I paid my way through college doing computer support, life sciences department at the last moment. And I ran 10 based. He came on climate through ceilings and pulled network cable do punch down blocks, a little bit of fibrous placing. So, you know, I was still a murderer >> writing software in the scythe. >> One major, major air. And that was when when the web first came out and we had links. Don't you remember? That was a text based browser, right? And I remember looking to see him like this is terrible. Who would use http slash I'm going back to go for gophers. Awesome. Well, turns out I was totally wrong about Mosaic and Netscape. After that, it was It was it was all hands on >> deck. You got a great career. Been involved a lot in the confluence of policy politics and tech, which is actually perfect skill set for the challenge we're dealing. So I gotta ask you, what are some of the most important conversations that should be on the table right now? Because there's been a lot of conversations going on around from this technology. I has been around for many decades. This has been a policy problem. It's been a societal problem. But now this really focus on acute focus on a lot of key things. What are some of the most important things that you think should be on the table for techies? For policymakers, for business people, for lawmakers? >> One. I think we've got to figure out how to get really technology knowledge into the hands of policymakers. Right. You see, you watch the Facebook hearings on Capitol Hill. I mean, it was a joke. It was concerning right? I mean, anybody with a technology background to be concerned about what they saw there, and it's not the lawmakers fault. I mean, you know, we've got to empower them with that. And so we got to take technologist, threw it out, how to get them to talk policy and get them up on the hill and in the administration talking to folks, right? And one of the big outcomes, I think, has to come out of that conversation. What do we do about national level cybersecurity, Right, because we assume today that it's the rule. The private sector provides cyber security for their own companies, but in no other circumstance to expect that when it's a nation state attacker, wait. We don't expect Target or Wal Mart or any other company. J. P. Morgan have surface to air missiles on the roofs of their warehouses or their buildings to Vegas Russian bear bombers. Why, that's the job of the government. But when it comes to cyberspace, we expect Private Cummings defending us everything from a script kiddie in his basement to the criminal hacker in Eastern Europe to the nation state, whether Russia, China, Iran or North Korea and these nation states have virtually a limited resource. Your armies did >> sophisticated RND technology, and it's powerful exactly like a nuclear weaponry kind of impact for digital. >> Exactly. And how can we expect prices comes to defend themselves? It's not. It's not a fair fight. And so the government has to have some role. The questions? What role? How did that consist with our values, our principles, right? And how do we ensure that the Internet remains free and open, while still is sure that the president is not is not hampered in doing its job out there. And I love this top way talk about >> a lot, sometimes the future of warfare. Yeah, and that's really what we're talking about. You go back to Stuxnet, which opened Pandora's box 2016 election hack where you had, you know, the Russians trying to control the mean control, the narrative. As you pointed out, that that one video we did control the belief system you control population without firing a shot. 20 twenties gonna be really interesting. And now you see the U. S. Retaliate to Iran in cyberspace, right? Allegedly. And I was saying that we had a conversation with Robert Gates a couple years ago and I asked him. I said, Should we be Maur taking more of an offensive posture? And he said, Well, we have more to lose than the other guys Glasshouse problem? Yeah, What are your thoughts on? >> Look, certainly we rely intimately, inherently on the cyber infrastructure that that sort of is at the core of our economy at the core of the world economy. Increasingly, today, that being said, because it's so important to us all the more reason why we can't let attacks go Unresponded to write. And so if you're being attacked in cyberspace, you have to respond at some level because if you don't, you'll just keep getting punched. It's like the kid on the playground, right? If the bully keeps punching him and nobody does anything, not not the not the school administration, not the kid himself. Well, then the boy's gonna keep doing what he's doing. And so it's not surprising that were being tested by Iran by North Korea, by Russia by China, and they're getting more more aggressive because when we don't punch back, that's gonna happen. Now we don't have to punch back in cyberspace, right? A common sort of fetish about Cyrus is a >> response to the issue is gonna respond to the bully in this case, your eggs. Exactly. Playground Exactly. We'll talk about the Iran. >> So So if I If I if I can't Yeah, the response could be Hey, we could do this. Let them know you could Yes. And it's a your move >> ate well, And this is the key is that it's not just responding, right. So Bob Gates or told you we can't we talk about what we're doing. And even in the latest series of alleged responses to Iran, the reason we keep saying alleged is the U. S has not publicly acknowledged it, but the word has gotten out. Well, of course, it's not a particularly effective deterrence if you do something, but nobody knows you did it right. You gotta let it out that you did it. And frankly, you gotta own it and say, Hey, look, that guy punch me, I punch it back in the teeth. So you better not come after me, right? We don't do that in part because these cables grew up in the intelligence community at N S. A and the like, and we're very sensitive about that But the truth is, you have to know about your highest and capabilities. You could talk about your abilities. You could say, Here are my red lines. If you cross him, I'm gonna punch you back. If you do that, then by the way, you've gotta punch back. They'll let red lines be crossed and then not respond. And then you're gonna talk about some level of capabilities. It can't all be secret. Can't all be classified. Where >> are we in this debate? Me first. Well, you're referring to the Thursday online attack against the intelligence Iranian intelligence community for the tanker and the drone strike that they got together. Drone take down for an arm in our surveillance drones. >> But where are we >> in this debate of having this conversation where the government should protect and serve its people? And that's the role. Because if a army rolled in fiscal army dropped on the shores of Manhattan, I don't think Citibank would be sending their people out the fight. Right? Right. So, like, this is really happening. >> Where are we >> on this? Like, is it just sitting there on the >> table? What's happening? What's amazing about it? Hi. This was getting it going well, that that's a Q. What's been amazing? It's been happening since 2012 2011 right? We know about the Las Vegas Sands attack right by Iran. We know about North Korea's. We know about all these. They're going on here in the United States against private sector companies, not against the government. And there's largely been no response. Now we've seen Congress get more active. Congress just last year passed to pass legislation that gave Cyber command the authority on the president's surgery defenses orders to take action against Russia, Iran, North Korea and China. If certain cyber has happened, that's a good thing, right to give it. I'll be giving the clear authority right, and it appears the president willing to make some steps in that direction, So that's a positive step. Now, on the back end, though, you talk about what we do to harden ourselves, if that's gonna happen, right, and the government isn't ready today to defend the nation, even though the Constitution is about providing for the common defense, and we know that the part of defense for long. For a long time since Secretary Panetta has said that it is our mission to defend the nation, right? But we know they're not fully doing that. How do they empower private sector defense and one of keys That has got to be Look, if you're the intelligence community or the U. S. Government, you're Clinton. Tremendous sense of Dad about what you're seeing in foreign space about what the enemy is doing, what they're preparing for. You have got to share that in real time at machine speed with industry. And if you're not doing that and you're still count on industry to be the first line defense, well, then you're not empowered. That defense. And if you're on a pair of the defense, how do you spend them to defend themselves against the nation? State threats? That's a real cry. So >> much tighter public private relationship. >> Absolutely, absolutely. And it doesn't have to be the government stand in the front lines of the U. S. Internet is, though, is that you could even determine the boundaries of the U. S. Internet. Right? Nobody wants an essay or something out there doing that, but you do want is if you're gonna put the private sector in the in the line of first defense. We gotta empower that defense if you're not doing that than the government isn't doing its job. And so we gonna talk about this for a long time. I worked on that first piece of information sharing legislation with the House chairman, intelligence Chairman Mike Rogers and Dutch Ruppersberger from Maryland, right congressman from both sides of the aisle, working together to get a fresh your decision done that got done in 2015. But that's just a first step. The government's got to be willing to share classified information, scaled speed. We're still not seeing that. Yeah, How >> do people get involved? I mean, like, I'm not a political person. I'm a moderate in the middle. But >> how do I How do people get involved? How does the technology industry not not the >> policy budgets and the top that goes on the top tech companies, how to tech workers or people who love Tad and our patriots and or want freedom get involved? What's the best approach? >> Well, that's a great question. I think part of is learning how to talk policy. How do we get in front policymakers? Right. And we're I run. I run a think tank on the side at the National Institute at George Mason University's Anton Scalia Law School Way have a program funded by the Hewlett Foundation who were bringing in technologists about 25 of them. Actually. Our next our second event. This Siri's is gonna be in Chicago this weekend. We're trained these technologies, these air data scientists, engineers and, like talk Paul's right. These are people who said We want to be involved. We just don't know how to get involved And so we're training him up. That's a small program. There's a great program called Tech Congress, also funded by the U. A. Foundation that places technologists in policy positions in Congress. That's really cool. There's a lot of work going on, but those are small things, right. We need to do this, its scale. And so you know, what I would say is that their technology out there want to get involved, reach out to us, let us know well with our partners to help you get your information and dad about what's going on. Get your voice heard there. A lot of organizations to that wanna get technologies involved. That's another opportunity to get in. Get in the building is a >> story that we want to help tell on be involved in David. I feel passion about this. Is a date a problem? So there's some real tech goodness in there. Absolutely. People like to solve hard problems, right? I mean, we got a couple days of them. You've got a big heart problems. It's also for all the people out there who are Dev Ops Cloud people who like to work on solving heart problems. >> We got a lot >> of them. Let's do it. So what's going on? Iron? Give us the update Could plug for the company. Keith Alexander found a great guy great guests having on the Cube. That would give the quick thanks >> so much. So, you know, way have done two rounds of funding about 110,000,000. All in so excited. We have partners like Kleiner Perkins Forge point C five all supporting us. And now it's all about We just got a new co CEO in Bill Welshman. See Scaler and duo. So he grew Z scaler. $1,000,000,000 valuation he came in to do Oh, you know, they always had a great great exit. Also, we got him. We got Sean Foster in from from From Industry also. So Bill and Sean came together. We're now making this business move more rapidly. We're moving to the mid market. We're moving to a cloud platform or aggressively and so exciting times and iron it. We're coming toe big and small companies near you. We've got the capability. We're bringing advanced, persistent defense to bear on his heart problems that were threat analytics. I collected defence. That's the key to our operation. We're excited >> to doing it. I call N S A is a service, but that's not politically correct. But this is the Cube, so >> Well, look, if you're not, if you want to defensive scale, right, you want to do that. You know, ECE knows how to do that key down here at the forefront of that when he was in >> the government. Well, you guys are certainly on the cutting edge, riding that wave of common societal change technology impact for good, for defence, for just betterment, not make making a quick buck. Well, you know, look, it's a good business model by the way to be in that business. >> I mean, It's on our business cards. And John Xander means it. Our business. I'd say the Michigan T knows that he really means that, right? Rather private sector. We're looking to help companies to do the right thing and protect the nation, right? You know, I protect themselves >> better. Well, our missions to turn the lights on. Get those voices out there. Thanks for coming on. Sharing the lights. Keep covers here. Day one of two days of coverage. Eight of us reinforce here in Boston. Stay with us for more Day one after this short break.

(upbeat music) >> Live from Las Vegas, it's theCUBE! Covering Informatica World 2019. Brought to you by Informatica. >> Welcome back everyone to theCUBE's live coverage of Informatica World here in Las Vegas. I am your host, Rebecca Knight. We are joined by John Lieto. He is the Director, Data Management at Wolters Kluwer. Thank you so much for coming on the show. >> Very welcome. >> So, Wolters Kluwer is a global provider of professional information, software solutions, tax information. Tell our viewers a little bit more about the company and about your role at the company. >> Yeah, so Wolters Kluwer, I would say probably 20 years ago, was a typical holding company. Has a very long history of publishing in Europe. It's over 185 years old in Europe. But, went on a journey to acquire businesses that were in the services business with a focus on legal, but there are also big concentrations in health divisions, tax and accounting, really a professional company. Very, very, very big in print. What happened over the last 10, 15 years though, it's completely flipped over to digital. In fact, it's been one of the more successful transformations. So now we're mostly in the digital space and electronic space. So where I come in, and my business unit comes in, CT Corporation is a 126-year-old company. Number one player in registered agent services. Legal information, helping companies like Informatica stay in compliance. United States is 50 states with 50 sets of rules, plus international. So typically, companies of any size get a provider. Sometimes their law firms will do it, but a lot of times, it's going to be CT Corporations, things like that. My role in the company, I've been there 19 years, I've had a mix of roles, mostly in the business but a little technical. I'm the Director of Data Management, I am basically in charge of managing governance and data quality for the business. It is focused on the customer right now and all things related to customer, but we're expanding into other domains like vendors, products, suppliers and supporting of pretty large digital transformation. >> So I'm sure in your role you have a lot of practical insights for MDM practitioners but before we go there, I want to hear from you about the customer mindset, I mean, this is a moment for data governance and security... >> Sure >> and privacy, a real inflection point, and like Wolters Kluwer, so many companies undergoing their own digital transformations. How would you describe the customer mindset about all of this? How are customers wrapping their brains around it? >> So for us, we're not in a very regulated business. We touch customers that are heavily regulated, but we're not, we're a service company, right? Most of the stuff, the data we deal with is public knowledge, right? A company's data is public knowledge, you can go in any state website and find out when Informatica was formed, who the board of directors are, so it's all public. But customers are extremely sensitive about where their data is, and what we're doing with it, so we were on top of that, especially for our foreign customers. Internally the CT and Wolters Kluwer we have to be very, very, very customer-focused 'cause it's a very direct service, right? So it's all about the customer. How we got to this point of using Informatica MDM, Massive Data Management, is trying to get close to the customer, trying to understand the customer. Our customers go from J P Morgan to these big, big, big companies that have investments in companies that you wouldn't even know they're related to that customer. So they rely on us to help them stay compliant. How do I deal with these diverse businesses that are under my portfolio, and how do I keep them compliant in the States? So we have all this data and we help our customers understand it, and know what to do next, almost anticipate where they're going to fall out of compliance in the State. >> So what is your advice for the people who are really starting, for the executives starting at square one, trying to think about a master data management solution? >> Yeah, great question. And it's really where the heart of my devotion has been the last year. I would say the most important thing is start with a business case. Understand where your business is going. Make it about what outcomes are you looking for. Really thoroughly understand that. Also take the systems or the subjects that are important to you, your company, and profile it. Understand that data. You can come to an MDM project, a master data management project, with so much knowledge first, don't just say, well everybody is doing master data management, we should do it too. I mean, it might be true, but you're really not going to get the outcomes. And then focus your project to hit those business goals, 'cause MDM is a process and a tool, it's not an answer. You need to use that tool to get to where you are, so for us the number one thing was reduce duplication, okay, MDM tools do that, so we're trying to get to the golden record, okay. Data quality, I don't have the good phone numbers I have bad email addresses, oh, mass data management does that too. So, again, it's going for the outcomes you're driving for, and MDM happens to be a good tool for that. >> So it's really about defining the objectives before you even jump in. >> Absolutely. >> Do you recommend experiments? What's the approach you... >> Wonderful question. In data we call it profiling, right? And you want to go in small wins, because one of the things that will happen to anyone in this space is the business is really not sure about this investment. These days, data is becoming so huge that's becoming a lot easier for guys like me to win a business case, but two years ago it was pretty hard. I'm sorry I just lost my train of thought. >> But that's an interesting point, just talking about the overcoming the skepticism within these companies to latch on to this idea, and as you were saying, the announcing the small wins, really getting everyone on board. >> Thank you. What we did is, we had profiled, found a problem, oh, we have definitive cost duplication, we've got email addresses that are completely bogus. Let's just to take those two. And we did small little pilots. We'd use tools we had, completely manual ad-hoc, let's fix 200 records, let's take a really important customer that we're trying to onboard, or expand, and let's fix that data, and then show the outcomes. Go for the quick wins. Communicate, communicate, communicate. Once we did that, and we did a series of, I want to say, 30 or 40 of these. That built our requirement set. We built the requirement set by doing. It was so easy that way to show victories, but too, to really get the requirements to a point where we could build the system. We happened to fall on that method, from prior learnings of not doing well on projects that had nothing to do with MDM. So for this one, I think the other piece of advice that I would give folks, is we built a data management team of business analysts that know our business and data. It is really critical that you keep this function out of IT. IT is your supporter and your partner. This does not go to IT. So we know our data. I have a guy on my team that's 45 years in the company, a woman who's 28 years in the company, just for example. So we can do a lot without a tool, and what's happening is now we are live for going on eight months now, and we're staying on top, making sure the tool's delivering what it's supposed to deliver, based on our deep knowledge. >> And I think that what you're talking about really, is introducing this technology and this new way of thinking, and it's really all about change management. >> It truly is. >> One of the things that we're talking a lot here in theCUBE about is the skills gap, and this is a problem throughout the technology industry. How big a problem is it for you at Wolters Kluwer? And what are you doing to make sure that you have the right technical talent on your team, and as we're saying, not just the technical talent but also the understanding of the business? >> One thing to understand is Wolters Kluwer is a fairly big company, and we as a company are just starting this journey. I have a small data management team in one business unit at Wolters Kluwer. There's another business unit within our health division that has data management, and that's all that I know of that is a formal data management. That's pretty small, so it's just beginning. What we're doing, we're trying to communicate, communicate, communicate. I am having some success because in our next huge journey, which is a digital transformation, a six-year project, data now is center. I've been asked to actually be the business sponsor for the data track, which, two years ago, that would not have happened. So I take that as a win, but you make a fair point, skills and understanding, both at the business and technical level is always a challenge, and it's justifying bringing in that skill set. No we can just outsource that, or we'll just use a consultant. I'm right now fighting a battle to bring in a data architect, full-time, they don't understand that... >> Just that role. >> You have to architect things. We've now done that, so what you have, because I' doing the data governance piece right now, and what I'm finding is, it's not the Wild West, but you can't always know what the parts of the organization is doing, and a lack of an architect is not keeping all the plumbing all centralized. So, a I build this data governance, I'm going to centralize data definitions and data glossary, data catalog, but I'm going to be looking around and going, okay, how do I actually have the technology piece architected correctly and that's the piece I'm really trying to pump, so hopefully when we build this data layer we're building my goal is to prove to the business that you need to fill this role. It's not me, it's going to be someone who really is deep, deep, deep in architecture. >> Hire a contractor, get that small win. >> That's what we're doing. (laughing) >> And then, the proof. I learned that from you, John. >> I'm actually in the process of just doing that. >> Excellent! >> One of those vendors is here. >> Well, we'll look forward to talking to you next year and hearing an update. >> Yeah, there you go. >> John Lieto, thank you so much for coming on theCUBE. >> You're very welcome, thank you. >> I'm Rebecca Knight, we will have more of theCUBE's live coverage of Informatica World. Stay tuned! (upbeat musing)

>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation. >> Hi, I'm Peter. Boris, And welcome to another cube conversation from our wonderful studios and beautiful Paolo Alto, California. One of the biggest challenge that every enterprises faces how to attend to the volumes of data that are being generated by applications. But more importantly, that the business is now requiring because they want to find new derivative sources of value in their digital business. Transformations is gonna require a significant retooling and rethinking of how we used eight is an asset. And the directions that infrastructure, data management and business are gonna move together over the course of next few years. Now, have that conversation. Got a couple of great guests here. Josie Swoop is a VP of marketing veritas. Welcome to Cuba or back to the Cube. Yeah, thanks. Peter and Rick Clark is a CEO of opt are welcome. Thank you for the first time. >> Great to be here, >> So let me start here. Joey, why don't we start with you? Give us a quick update on Veritas and where your customers are indicating the direction needs to go. >> We've just had, ah, record breaking financial year for us, which ended in end of March. So since divestiture from semantic, as you know better, Toss has been through a transformation and then on a path to growth. So our core businesses are humming with just like I said, the second half of the year specifically was great for us. What we're hearing from customers, Peter, is that they want to elevate their their business problems away from infrastructure to business outcomes. That what they ask veritas to do is, can you abstract away some of those infrastructure plumbing problems, storage, security, data protection and focus on what the applications can give us. That's number one. Number two is Can we standardize? I mean, the example of Southwest comes to mind, right? They have the same plane so they can reroute those planes anytime they have the same pilots flying those planes so they can to standardize. So they collapsed better. And then, lastly, to your point value of data over volume. Everybody talks about the volume. What about the value of data? What is veritas do for for me? Mr. You know God's a customer in our tax extract value of that data, which is growing day by day. >> Well, one of the most interesting things about this challenge of businesses faces they try to attend to these things is that data is often characterizes the new oil. And we we push back against that Because >> data is a new kind of asset, it's an asset that's easily copied. It's an asset that's easily shared. You can easily integrate it. You can apply it to multiple uses with zero loss of fidelity and what it does currently. And so the whole notion of creating new options in the value of data's intrinsic to the questions of digital business. So that suggests that we need to start thinking Maur about data protection, not just from the standpoint of protecting data once it's been created and is sitting there so we can recover it. But new types of utilization, new ways of thinking about data data as it's going to be used, understanding more about dating, protecting that Rick, would you kind of Does that resonate? >> Yeah, absolutely. You know, one of the things that we've sort of seed in the marketplace is certainly over the last 10 years, the Data Sena has become so complex. This is massive fragmentation of data across highly virtualized infrastructures. And then, when public clouds came along, customers didn't really know what workloads they should move up into those clouds. And so what we saw is a huge problem. Is areas of cost and efficiencies, massive problems of risk and then obviously the amount of money that cos of spending on compliance. And so what we were really focusing on is the gaps. What do you not know about? And so we would really >> about your data >> about your data. Exactly. So we really measure the hot beat off the data protection environment, and from that we could actually see where are you? Risk where your exposure, where you're spending too much money, >> Where's your opportunities? Seize your opportunities. So we've got a notion of the the solution that folks are looking for, something that provides greater visibility into their end and data from a risk exposure opportunity. New sources of utilization standpoint talk a bit about how >> at four >> rounds out the veritas portfolio as it pertains of these things that you're seeing customers asked for taking data closer to outcomes and away from the device orientation? >> Absolutely. So Vatos has always been known to be a leader and data protection. We've done that for over 20 years. We also were the first pioneers in software defined storage. And we're number one in market share, according to I. D. C and Gardner as well. Ah, but again to my earlier point, customers have been asking. So what? We've done the plumbing really well and you've scaled. How do you take this to the next level? Extract value from all that data you're sitting on top of that you're protecting. And that's where apt are comes into the picture. We've built some tools natively within veritas of the last three or four years where we try to go and classify the data on in jest, identify things like P I information sensitive data, rock data, redundant, obsolete, trivial data that we can delete. There was a customer who recently deleted 30,000,000 files, just press the delete button and this isn't a highly regulated environment, >> but they were still pretty darn eggs. >> They definitely where but we were able to give them that visualization and information that they required. Now the question those customers are asking us or we're asking us. Before avatar came into the picture was at the infrastructure level. How do I know how much I'm spending on my data protection environments? Do I know where the growth ISS is it all in the traditional workloads of oracle ASAP, Or is it in virtual or is it in the cloud? Right. Am I putting too much data on tape? Is it costing me enough? Can extract the value from that data. So they were asking us infrastructure visualization and i D analytics. Questions which only apt are could answer. And we have some joint customers they were actually using. Apt are already not just with to monitor the vatos ecosystem, but even some of our competitors and the broader i t ecosystem on a single planet class. And that's where I think after really shines is is the agnostic approach they take beyond just veritas are beyond just another storage vendor. >> Well, so way certainly subscribed to this notion that data protection is going to It's gonna be extended, but it's gonna become a strategic digital business capability that does have to be re funk around the concept of data value and sounds like that's the direction you're taking, and you guys have clearly seen that as well. But obviously some of your customers have seen it. So talk to us a little bit about how customers helped you two guys together. >> Yeah, that's a great question. Was interesting. Actually. We had some of the largest companies in the globe actually using ourself with many of the fortune Tien using up self with J. P. Morgan Chase quote calm Western digital. And they came to us with these very precise problems around, you know, howto optimize my risk within the environment, had a streamline, obviously the costs and compliance. And we found that they were very common questions. And so we actually created this agnostic intelligence built into the software a rules engine that would have to correlate data from all of these disparate data sources. Whether Tom primer on the cloud tying that together would provide impactful insights to our customers that could sold real world problems. And we'll do it with kind of what we call the easy button. One of the big problems with a lot of software products out there today. Is there a point solutions to manage pots of the infrastructure companies wanted a single pane of glass where I could see everything across all of my storage. All of my data protection on prim and cloud. And that's really what we bring to the table, that single paying the class. And we do it very simply at scale for the largest customers. And that's in many ways was the synergy, obviously, with a partnership with Veritas. >> So give us some sense of how how customers will see the benefits of this from a rollout standpoint over the next 6 to 18. >> Right? So Step One in this journey for us is to ensure there are customers. Understand that we're going to continue to have that open an agnostic approach Apt are suddenly is not gonna become proprietary batter toss product. It's going to continue on its on its mission to be agnostic across various storage data protection and cloud environments. That's number one. Number two is we're gonna bring the the artificial intelligence and machine learning capabilities that we have in house with Veritas combined that with some of the things that Rick just docked, abide with the capabilities adapt our has combine, it's our customers can gain. I know add value. The one plus one equals three approach there as well. So those air, like the two key pillars for us going forward and eventually will extend apt are to an end to in Data Analytics platform not just I d analytics, where we're looking at infrastructure, but an end to end data. Plus I t analytics platform that spans Veritas is will Is the broader a IittIe ecosystem? >> Well, so it's good to hear that you're gonna let apt are continue to focus on data value as opposed to veritas value. Right talk. Talk to me a little bit. About what Does that analytics piece really mean? Howard Customers going to use it? How are they using it today? How are they gonna >> let me carry that? Said is roughly 30,000 unique metrics that we actually gather across the whole I t infrastructure and we'll look at a classic use cases. One of exposure. What? A lot of companies been enormous amount of money on the data protection infrastructure. The using disparity, tools and technologies they don't always go with. One platform like net backup is an example, right? And so with that, come challenges because there's gonna be gaps they might be backing up a Windows server where they're the backup policy says they're just backing up. The C drive will interrogate VM, where all the hyper visor will look at the network and see that there's a D Dr attached to that volume as well. And there's no backup data protection policy. So enormous amount of exposure if they tried to do a restore, obviously, from the d Dr where there's no protection, right from a cost perspective, there's an enormous amount of white space problem in the storage industry. More and more companies are moving from spinning distal flash arrays. A lot of companies is struggling with How do I protect those old flash A raise the using snapshots that using cloud they're tearing to the cloud the using different backup products. Obviously, we'd prefer that they used their backup, but with our software, we can provide that that inside across the entire data protection framework and storage and show you where is your risk? Where is your inefficiency, where you double protecting things into spending too much, much money? This whole notion of data protection is transaction. A lot of people do what's called distant, distant eight still being voted off site. How do you know that all those transactions are successful? How do you know you can restore based on those s L A's and tying that into you? See, M d B. That's what appetite does. >> So I'ma throw a little bit of a curveball here. So having worked within 90 worked with N i t organizations, it can be I ke historically can has been rolled to the compartmentalizing segment you administrated for servers in Australia for storage of people who are administrating applications and and subsystems. And the cloud is munge ing a fair amount of that together. But one of the places that has always required coordination, collaboration and even more important practice has been in the area of restore firms were shops that did not practice how they would restore, you know, hopefully they never had a problem. But if they did have a problem, if they hadn't practiced that process, they would likely we're not gonna be successful in bringing the business up. Gets even more important digital business. Can you give us a little bit of visibility into how this combination taking the metadata, the metrics of visibility. Taking the high quality service is bringing them together is going to streamline, restore within their prices. >> So first, let me address the first point you made, which is what I call the rise of the versatile is too right. So there are no more specialists in certain jobs. The versatile listen, the cloud or in virtual tend to do three or four jobs when there's back up our story virtualization itself on DDE. What the's Verceles want is to explain an easy barton to restore their VM environment or their big data. And my mother there Hadoop environment. They're not really worried. As a central I t. Team that Hey, what am I going to do with the entire data estate? How did I restore that? So that's the first step. Second step, as the world of I t gets more more complicated on the rise of the worst list continues to happen. Thes folks want to be able to have a resiliency plan. They want to be able to rehearse these restores right, and if they don't have a resiliency plan built in if the data protection is so siloed and does not help them build a resiliency plan. And to end that restore is not gonna be successful. Likely? Right. And that's where Veritas and companies like Veritas come in to help them build those resiliency plans and to end. >> But let me take you back to so the financial industry, for example, there are rules about how fast you you have to be able to restore. I gotta believe that visibility into data that is a value level can help set priorities. Because sometimes you want to bring up this application of this class of applications of this class of users of functions before you bring up those so does does apt are apt are going to provide even greater clarity in the crucial restore >> at 70. One of the biggest challenges for >> a lot of companies with restores is actually finding the data. We had a classic use case with a large Fortune 10 company where they had a bunch of service that were being backed up. There were bolted off the tape, and then it was obviously a different backup product they were using. The actually lost the catalog. The data was still there on tape. They had millions of tapes in the vaults, and they used apt title, identify the barcodes and recover that data literally within a matter of hours. And so not only can we find you your freshest copy the most recent copy, if that's what you want, but we can find where is your data? Because in a lot of cases there's multiple replications, multiple copies of the data across all sorts of assets within your >> infrastructure. Interesting. So last thoughts. When we have you back in the Cube in a year, Where you guys going? Big? >> Hey, listen, the two things that I talked about we're going to continue to expand the support of the ecosystem. The world of I t. Whether it's on Prem virtual or in the cloud with Apt are we? We're going to continue to invest in the artificial Intelligence and ML capabilities are not just apt are but all of that tosses ecosystem and you'll see amore integrated approach on the platform based approach on standardization When we come here >> next, guys, thank you so much. Great conversation. Thanks for being here in the Cube to talk about this important relation between data tooling and sources of business value. Rick Clark is the vice president of the outdoor business unit. Used to be the CEO of actor, but now the vice president. The outdoor business unit Veritas. Josie Stroop is vice president of marketing of Veritas. Once again, guys, thanks very much for being here. Thank you so much for having us. And once again, I'm Peter Burgers. You've been listening to another cube conversation until next time.

>> Live from San Francisco. It's the cube covering IBM thing twenty nineteen brought to you by IBM. >> Hello and welcome back to the Cubes. Live coverage here and savor still were alive for IBM. Think twenty nineteen. The Cubes Exclusive contract. Jon for a stimulant in our next two guests of the Cloud gurus and IBM and VM Where A. J. Patel senior vice president general manager Cloud Providers Software Business Unit. Good to see you again. Baron. Scram A general manager. IBM Cloud Guys. Thanks for Spend the time. Get to the cloud gurus. Get it? They're having What's going on? Having privilege. Osti Cloud's been around. We've seen the public Cloud Momentum hybrid Certainly been around for a while. Multi clouds of big conversation. People are having role of data that is super important. Aye, aye, anywhere you guys, an IBM have announced because I've been on this. I'm on >> a journey or a >> library for awhile. On premise. It was on VM, where all the good stuff's happening. This the customers customers want this talk about the relationship you guys have with IBM. >> You know, the broad of'em were IBM relationship over nine, ten years old. I had the privilege of being part of the cloud the last couple years. The momentum is amazing. Over seventeen hundred plus customers and the Enterprise customers, not your you know, one node trial customer. These are really mission critical enterprise customers using this at that scale, and the number one thing we hear from customers is make it easy for me to leverage Plowed right, operate in the world when I'm using my own prim and my public cloud assets make it seamless, and this is really what we've talked about a lot, right? How do we provide that ubiquitous digital platform for them to operate in this hybrid world? And we're privileged to have IBM Of the great partner in this journey >> are some of the IBM cloud, Ginny Rometty said on CNBC this morning. We saw the interview with my friend John Ford over there. Aye, aye. Anywhere means going run on any cloud. Watson with containers. That's cloud DNA. Sitting the cloud with good Burnett ease and containers is changing the game. Now you can run a lot of things everywhere. This's what customers want. End to end from on. Premise to wherever. How has that changed the IBM cloud posture? Its products? You share a little bit of that. >> You absolutely so look I mean, people have their data in different places, and as you know, it's a really expensive to move stuff around. You gotta make sure it's safe, etcetera, So we want to take our applications and run them against the data wherever they are right? And when you think about today's landscape in the cloud industry, I think it's a perfect storm, a good, perfect storm and that containers and Kubernetes, you know, everyone's rallying around at the ecosystem that consumers, the providers. And it just makes us easy for us to take that capability and really make it available on multicloud. And that's what we're doing. >> to talk about your joint customers. Because the BM where has a lot of operators running, running virtually change? For a long time, you guys have been big supporters of that and open source that really grew that whole generation that was seeing with cloud talk about your customers, your mo mentum, Howyou, guys air, just ballpark. How many customers you guys have together? And what if some of the things that they're doing >> all right? So I know this is a really interesting story. I was actually away from IBM for just over two years. But one of the last things I did when I was an IBM the first time around was actually start this Veum where partnership and seated the team that did it. So coming back, it's really interesting to see the uptake it's had, You know, we've got, like, seven hundred customers together over seventeen hundred customers. Together, we've moved tens of thousands of'em workloads, and as I just said, we've done it in a mission. Critical fashion across multiple zones across multiple regions. On now, you know, we want to take it to the next level. We want to make sure that these people that have moved their basic infrastructure and the mission critical infrastructure across the public cloud can extend those applications by leveraging the cloud near application that we have on our cloud. Plus, we want to make it possible for them to move their workloads to other parts of the IBM ecosystem in terms of our capabilities. >> Any one of the things we found was the notion of modernizer infrastructure, first lift and then transform. He's starting to materialize, and we used to talk about this has really the way the best way to use, cowed or use hybrid cloud was start by just uplifting your infrastructure and whether it's west back, you ask for some customers. I respect a great example. I think that we're talking about it in the Parisian. I joined presentation tomorrow or you look at, you know, Kaiser, who's going to be on stage tomorrow? We're seeing industries across the board are saying, You know, I have a lot of complexity sitting on aging hardware, older versions of infrastructure software. How do I modernize A platform first lifted, shifted to leverage a cloud. And then I could transform my application using more and more portable service that'S covering decides to provide a kind of infrastructure portability. But what about my data, Right. What about if I could run my application with the data? So I think we're starting to see the securing of the use of cloud based on workloads and averaging that's that's >> Yeah, a J. What wonder if we could dig a little love level deeper on that? Because, you know, I think backto, you know, fifteen years or so ago, it was bm where allowed me to not have to worry about my infrastructure. My, you know OS in my you know, server that I was running on might be going end of life. Well, let me shove it in a V M. And then I couldn't stand the life, and then I can manage how that happens. Course. The critique I would have is maybe it's time to update that that application anyway, so I like the message that you're saying about Okay, let me get a to a process where I'm a little bit freer of where, and then I can do the hard work of updating that data. Updating that application, you know, help us understand. >> It's no longer about just unlocking the compute right, which was worth trying the server. It's What about my network we talked about earlier? Do I need a suffered If our network well, the reality is, everything is going programmable. If you want a program of infrastructure, it's compute network storage all software defined. So the building block for us is a suffer to find data center running on the infrastructure that IBM pride sixty plus data centers bare metal at Scholastic and then leering that with IBM cloud private, whether it's hosted or on premise, fear gives you that full stack that nirvana, the people talk about supportable stack going, talk about >> right and adding to what he said, right? You said, You know, it's not about just moving your old stuff to the to the cloud. Absolutely. So as I said in one of the earlier conversations that we have, we had is we have a whole wealth of new services, whether it's Blockchain R. I o. T or the that used. You spoke about leveraging those capabilities to further extend your app and give it a new lease of life to provide new insights is what it's all about. >> What? Well, that that that's great, because it's one thing to just say, Okay, I get it there. Can I get better utilization? Is that change my pricing? But it's the services, and that's kind of the promise of the cloud is, you know, if I built something in my environment, that's great and I can update and I can get updates. But if I put it in your environment, you can help manage some of those things as well as I should have access to all of these services. IBM's got a broad ecosystem can you give us? You know what are some of the low hanging fruit is to people when they get there, that they're unlocking data that they're using things like a I What? What What are some of the most prevalent services that people are adding when they go to the IBM clouds? >> So when you look at people who first moved their work list of the cloud, typically they tend to dip their toe in the water. They take what's running on Prem. They used the IRS capabilities in the cloud and start to move it there. But the real innovation really starts to happen further up the stock, so to speak. The platform is a service, things like a II OT blocked and all the things that I mentioned, eso es very natural. Next movement is to start to modernize those applications and add to it. Capability is that it could never have before because, you know it was built in a monolith and it was on prim, and it was kind of stuck there. So now the composition that the cloud gives you with all of these rich services where innovation happens first, that is the real benefit to our customers. >> Every she said, you took a little hiatus from IBM and went out outside IBM. Where did you go and what did you learn? What was that? Goldman Jack. JP Morgan, Where were you? >> So it was a large bank. You know, I'm not not allowed to say the name of the bank. >> One of those two. It >> was a large bank on, and it wasn't the U S. So that narrows down the field. Some >> What is it like to go outside? They'll come inside. U C Davis for cutting edge bank. Now you got IBM Cloud. You feel good about where things are. >> Yeah. You know, if you look at what a lot of these banks are trying to do, they start to attack the cloud journey saying we're going to take everything that ran in the bank for years and years and years. And we're going to, you know, make them micro services and put them all on public cloud. And that's when you really hit the eighty twenty percent problem because you've got a large monolith that don't lend themselves to be re factored and moved out. Tio, eh, Public cloud. So you know again, Enter communities and containers, etcetera. These allow you a way to modernize your applications where you can either deploy those containerized You know, piers you go type models on prim or on public. And if you have a rich enough set of services both on Prem in on the public loud, you can pretty much decide how much of it runs on Trevor's is becoming much more clouds >> moment choice. So really, it's finding deployment. So basically, what you're saying is that we get this right. I want to get your reaction. This You don't have to kill the old to bring in the new containers and Cooper netease and now service measures around the corner. You can bring in new work clothes, take advantage of the cutting edge technology and manage your life cycle of the work loads on the old side or it just can play along. I >> think what we're finding is, you know, we moved from hybrid being a destination to an operating model, and it's no longer about doing this at scale like my multi clark. Any given applications tied to a cloud or destination? It's a late binding decision, but as an aggregate. I may be amusing multiple close, right. So that more model we're moving to is really about a loving developer. Super your workload centric and services centric to see Where do I want to run in Africa? >> Okay, what one of the challenges with multi cloud is their skill sets. I need to worry about it. It can be complex. I want to touch on three points and love to get both your viewpoints, networking, security and management. How do we help tackle that? Make that simple >> right off customers? >> Yeah, sure. So you know, I think when you think about clouds, public clouds especially it's beyond your data center and the mindset out there as if it's beyond my data center. It can be safe. But when you start to build those constructs in the modern era, you really do take care of a lot of things that perhaps you're on Prem pieces that not take into consideration when they were built like many decades ago. Right? So with the IBM public Cloud, for example, you know, security's at the heart of it. We have a leadership position. There was one of the things that we've announced is people keep protect for not only Veum, where workload visa and we sphere etcetera, but also for other applications making use off our public cloud services. Then, when you talk about our Z, you know we have a hardware as security model, which is fifty one forty, level two or dash to level four, which nobody else in the industry has. So when you put your key in there on ly, the customer can take it out, not him. Azaz clouds of his providers can touch it. It will basically disintegrate, you know, sort of speak >> H ey. Talk about VM wears customer base inside the IBM ecosystem. What's new? What should they pay attention to? As you guys continue the momentum. >> So I think if you look at the last two years, it's been around what we call these larger enterprise. Dedicated clouds. Exciting thing in the horizon is we're adding a multi tenant IRS on top of this BM, we're dedicated. So being able to provide that Brett off access thing with dedicated multi tenant public out I, as fully programmable, allows us to go downmarket. So expect the customer kind of go up being able to consume it on a pay as you go basis leveraging kind of multi tenant with dedicated, but it's highly secure or for depth test. So are the use cases kind of joke. We're going to see a much larger sort of use cases that I'm most excited about >> is the bottom line. Bottom line me. I'm the customer. Bottom line me. What's in it for me? What I got >> for the customers with a safest choice, right? It's the mission critical secure cloud. You can now run the same application on Prem in a dedicated environment in public, Claude on IBM or in a multi tenant >> world. And on the Klaxon match on the cloud sign. I could take advantage of all the things you have and take advantage of that. Watson A. I think that Rob Thomas has been talking about Oh yeah, >> absolutely. And again. You know the way that we built I c P forty, which is IBM plowed private for data. You know, it's all containerized. It's orchestrated by Coop, so you can not only build it. You can either run it on crime. You can run it on our public loud or you can run it on other people's public clouds as well >> nourished for customers and for people. They're looking at IBM Cloud and re evaluating you guys now again saying Or for the first time, what should they look at? Cloud private? What key thing would you point someone to look at, IBM? They were going to inspect your cloud offering >> so again, and it's back to my story in the bank. Right? It's, uh you can't do everything in the public cloud, right? There are just certain things that need to remain on creme On. We'll be so for the foreseeable future. So when you take a look at our hybrid story, the fact that it is has a consistent based on which it is built on. It is a industry standard open source base. You know, you build your application to suit the needs of an application, right? Is it low lately? See, Put it on. Crim. You need some cloud Native services. Put it on the public cloud. Do you need to be near your data that lives on somebody else's cloud? Go put it on their cloud. Right. So it really is not a one. Size fits all its whatever your business >> customer where he is, right? That's often >> the way flexibility, choice, flexibility. Enjoy the store for all things cloud. >> Yeah, last thing I want to ask is where to developers fit in tow this joint Solucion >> es O. So I think the biggest thing is that's trying to change for us is making these services available in a portable manner. When do I couldn't lock into the public cloud service with particular data and unlocking that from the infrastructures will be a key trend. So for us, it's about staying true to Coburn eddies and upstream with the distribution. So it's portable for wanting more and more services and making it easy for them to access a catalogue of services on a bagel manner but then making operation a viable. So then you're deployed. You can support the day two operations that are needed. So it's a full life cycle with developers not having to worry about the heavy burden of running an operating. What >> exactly? You know, it's all about the developers. As you well know in the cloud world, the developer is the operator. So as long as you can give him or her, the right set of tools to do C. I C. Dev ops on DH get things out there in a consistent fashion, whether it is on a tram or a public cloud. I think it's a win for all. >> That's exactly the trend We're seeing operations moving to more developers and more big time operational scale questions where your programming, the infrastructure. Absolutely. Developers. You don't want to deal with it >> and making it work. Listen tricks. So you know when to deploy. What workload? Having full control. That's part of the deployment >> exam. Alright, final question. I know we got a break. We're in tight on time. Final point share perspective of what's what's important here happening. And IBM. Think twenty nineteen people who didn't make it here in San Francisco are watching. You have to top cloud executives on VM wear and IBM here as biased towards cloud, of course. But you know, if you're watching, what's the most important story happening this week? What's what's going on with IBM? Think Why is this conference this week important? >> I think for us, it's basically saying We're here to meet you where you are, regardless, where you on your customer journey. It's all about choice. It's no longer only about public Cloud, and you now have a lot of capably of your finger trips to take your legacy workloads or your neck, new workplace or any app anywhere we can help you on that journey. That would be the case with >> you, and I wouldn't go that right, said it slightly differently. You know, a lot of the public service of public cloud service providers kind of bring you over to their public loud, and then you're kind of stuck over there and customers don't like that. I mean, you look at the statistics for everybody has at least two or more public clouds. They're worried about the connective ity, the interoperability, the security costs, the cost, the skills to manage all of it. And I think we have the perfect solution of solutions that really start Teo. Speak to that problem. >> So the world's getting more complex as more functionalities here, Software's gonna distract it away. Developers need clean environment to work in programmable infrastructure. >> And you know where an IBM Safe Choice, choice, choice. >> We have to go on top to cloud executives here. Inside the cue from IBM of'em were bringing all the coverage. Was the Cube here in the lobby of Mosconi North on Howard Street in San Francisco for IBM? Think twenty. Stay with us for more coverage after this short break. Thank you. Thank you.

>> Announcer: Live from Orlando, Florida, it's theCUBE covering Grace Hopper Celebration of Women in Computing. Brought to you by SiliconANGLE Media. >> Welcome back to theCUBE's coverage of the Grace Hopper Conference in Orlando, Florida. I'm your host, Rebecca Knight. We're joined by Morgan Berman. She is the founder and CEO of MilkCrate, a platform that measures and grows social and environmental impact. Thanks so much for joining us. >> Thanks for having me. >> So I want to, start off by telling us a little bit about MilkCrate. >> Sure. So we're a tech company. We got our start about four years ago. We've grown and changed a lot in that time, but what we really focus on doing is helping big organizations either for- or non-profit, engage people in social and environmental impact in a game app. And we build custom versions of this app based on the goals of each client. So whether it's a big company that wants to engage employees in volunteering and riding a bike to work, or a nonprofit that has kids that they're trying to get to go to art museums, and encourage them to go more often, we can gamify both of those behaviors in unique apps and then those clients have their own engagement experience for hitting those goals. >> Well, that's a really neat idea. Tell me how you came up with it. >> Well, like I said, it's changed and grown over time. Originally it was my own personal desire to grow my impact in the world. I grew up in this kind of crunchy, kind of wonderful bubble, I guess, where my mom would only buy food from the farmer's market, she was actually a farm-to-table chef, one of the first female chefs in Philly. She wrote books rating and reviewing thrift shopping, so I grew up with like fresh local food, thrift shopping, there was a community garden behind us. >> She was a hipster before her time. >> Exactly, my mom's like the original hipster. And my dad was also an entrepreneur. So when I moved to West Philadelphia, which is like the crunchiest part of the city by far, I was trying to figure out how to ride a bike in the city for the first time, and how do you compost with worms when you live in an apartment and you don't have a backyard. Where's my nearest food co-op so I can start feeding myself this way? And my interest grew and grew as I started learning about things like climate change. And I went to a Bill McKibben talk about fossil fuel divestment, and there were these children in Haiti holding a sign that said Connect The Dots Your Actions Affect Me. And it really hit home how my privilege as this western world person with this degree and all of these things that most people don't have that every choice I made about my life was having a direct impact on someone on the other side of the world, or often not even that far from me. And so I wanted to figure out how to live my life in a way that my values weren't conflicting with my actions. So I applied for graduate school in sustainable design to originally, the idea was to help design sustainable buildings but I quickly learned that even though I had this degree, architects weren't going to take me seriously. And so I pivoted and took all my extra-curriculars in Industrial Design and Interactive Media. And I had the head of the department for Interactive Media actually helping me with the first mock-ups of MilkCrate, which was all about designing an app to help people live their values, particularly around sustainability. And then, after a few years of learning and growing, we actually, Forbes picked us to be one of the five companies on the Forbes Under 30 stage and that catapulted us onto this path of suddenly going from a school project to a startup company that needed to raise money and have a business model. And I was like, what's a business model? So after about two years of learning and growing, we realized that there's this opportunity with big corporations to engage employees in sustainability and that there was a pain point on this enterprise level that we could solve, and yeah. >> And what was this pain point? I mean, I think that's the thing is we can all say it's great for companies to get their employees to ride more bikes and to start a recycling program-- >> But why do they care? >> Yeah! >> And that's what investors would always ask, and I'd be like, ugh! And I had to learn the answer! And the answer is 75% of the S&P 500 issues a CSR Sustainability Report every year, and that has grown exponentially over the last few years. And the reason they do that is because employees want to work for a company that's making a difference. 45% of millennials would take a 15% cut or more in their salary to work for a company that makes a difference in the world. The reason that B Corps are growing exponentially around the world, all of these things, of business is a force for good in the world, it's the norm now. Whether you realize it or not, that's what's driving people to work for a company, to stay for a company, for customers to buy a product from a company. That's how people are starting to make their important life choices. And so now companies invest in having a Corporate Social Responsibility, not only a director, but a whole department. And they're, what we learned when we were researching how to figure out this whole business model was that CSR directors, their top three pain points are engaging employees, tracking and analytics, and having a scalable, cost-effective program across the whole company. So we realized our product could do all three of those things, and I was like, oh, I think that's a business model, when you solve the major pain points for an important corporate role in the world. So that's how we started moving in that direction and we started getting validation, and then we realized we also could work with nonprofits when they started reaching out. And so now we're kind of filling both of those needs that are a little bit different. >> So you're gamifying, making it into a game, making it fun for employees, or clients or customers or whoever the target audience is. So what kind of rewards are they getting for this? How do you light up their bulbs? >> I'm actually giving a lecture on this at Warden on Monday, so it's top of mind. You've got intrinsic and extrinsic motivation, right? There are the things that you do because they make you feel like you're being your authentic self, where you're expressing your values and that lights up your brain in a way that nothing else ever will. Then you have your external, extrinsic motivations, things like prizes, but also social acknowledgement. Seeing that you are functioning the way your peers are, that sense of I am not alone, or I am normal, that's a really important validation as a human. So seeing that you're in the top 10 or that you're above average, that feels good. So we have things like your rank and how you're doing on your team and how your team's doing in comparison to other teams in your MilkCrate community. And then there's the actual rewards. So university clients of ours have given tickets to sporting events, or credit to the bookstore. Corporate clients, gift certificates to local, sustainable restaurants and coffee shops near the headquarters. We're actually now partnering with an amazing B Corp company, United By Blue, that has ethically made and environmentally thoughtful products like mugs and candles and things like that. So, it depends on the client what their goals are, what their budget is, what motivates those people. But it really, the beginning part, when you first download the app, the first couple of challenges are things like answer this question about how important is to you to live your values? So you get them thinking in that mindset about why they're using this app. >> Priming them to-- >> Priming them, exactly! Getting them in that headspace. That's the most important thing you can do in the beginning is just to help them understand why they're using this, and then the rewards are almost, they're a distant second. >> Okay, okay. So you've also, you are a B Corp, and are there many other B Corps here at Grace Hopper? I mean, what's your experience there? As you said, it is now the norm that the business is functioning this way. But B Corps are still a minority, relatively speaking. >> Right, there's a lot of room for growth there, yeah. I think having the CSR report is the norm, but doing everything you possibly can, there's still a lot of room in that department. One thing I saw that I loved was that instead of giving out swag, Facebook was actually donating money to nonprofits that help women code. I was like, that's great! So I haven't seen any B Corps here that I've, yeah, I don't think I've seen other than ROAR For Good-- >> Which we had on the show earlier. >> Yes, so Yasmine and I are definitely two Philly B Corps. I would love to see more tech companies go in that direction but yeah, there's a lot more growth that needs to happen. There are about, I think, I actually just got to meet one of the other founders of B Lab that does B Corp certification. He gave a great presentation answering in more detail why do companies do this? It was amazing how many stats he had. It was like yes! But 2,300 for B Corps and I think something like 16,000 benefit corporations. So they're slightly different things, but it's a growing movement for sure. >> So talk a little bit about your experience at this Grace Hopper Conference. It's day one, we're near the end of day one. How would you describe the energy, the atmosphere, what's your feeling about being here in Orlando? >> So I've heard over and over again people saying it's just so good to be in a room full of women who are all doing awesome things. And it keeps reminding me of when I went and saw Wonder Woman with my parents. And I remember sitting in the theater and going like this and being like oh, my cheeks are wet. Oh, I think I'm crying. Oh, I think I'm having feelings. I think it's because I've literally never seen on a screen several dozen, or hundreds of women just being powerful, physical beings with like, aggression and skill, and it having nothing to do with sexuality or being attractive. And it was just the first time I'd seen that in my 32 years of existence. And to just, there's something so powerful about having that icon, that image reflected back at you to see, oh, if you can do that, I can do that. And actually, over the last 13 months, I've been training in Brazilian jujitsu and competing, and to see women being physical, strong warriors, and only women, and it not being sexualized, it was like oh, that's the feeling I get when I compete, and when I'm with my teammates, my female teammates. Anyways, I think that's kind of what's happening here is that sense of like, these are my people, and we are doing amazing things, and to just see each other when historically, you never got to see a room like this. I think it's an unfortunately necessary experience to be reminded that we are out there, we are doing this, and it's growing. >> And there is a sisterhood and the belonging that we talked about earlier, too. >> I mean, you see men who don't seem particularly uncomfortable here. They can kind of, they're like okay with this. And they get to kind of know what it's like to be in the minority. And I kind of want to ask them, how are you feeling? What's this like for you? But like, to see everyone flipping the ratio and we're all good, so that means if we could get somewhere more like parity I think that could be pretty magical. >> So as a female founder, a female technologist, what is your advice for the younger versions of you who maybe are just graduating from college, or maybe even younger than that and sort of wondering, can I even do that? Can I aspire to be that? >> You absolutely can. And I gave some advice at the end of my session earlier. And my two bits of advice were detach yourself from any negative association with the word Failure. Try and come up with a new word for yourself if you need to because learning and growing is what you're going to do your whole life, and so taking risks, that's what you need to be doing every single day. And so pushing against those things that scare you. And the second thing was to find a mentor, because no one piece of advice I can give is ever going to fill the role that having a mentor can give you over the course of a career, or even just for a few years. The amount that I've grown in just the last four years of building my company with some of my mentors, it's incredible. So, find someone who reminds you of who you want to be, and then latch on to them and get them to help kind of carry you along. >> Great. Well, Morgan, it's been so fun talking to you. >> Thank you, this has been great. >> Thanks for joining us. >> I'm Rebecca Knight, we'll have more from the Grace Hopper Conference in Orlando just after this. (rippling music)