>> From The Cube Studios in Palo Alto and Boston, bringing you data driven insights from The Cube at ETR. This is "Breaking Analysis" with Dave Vellante. >> The reverse momentum in tech stocks caused by rising interest rates, less attractive discounted cash flow models, and more tepid forward guidance, can be easily measured by public market valuations. And while there's lots of discussion about the impact on private companies and cash runway and 409A valuations, measuring the performance of non-public companies isn't as easy. IPOs have dried up and public statements by private companies, of course, they accentuate the good and they kind of hide the bad. Real data, unless you're an insider, is hard to find. Hello and welcome to this week's "Wikibon Cube Insights" powered by ETR. In this "Breaking Analysis", we unlock some of the secrets that non-public, emerging tech companies may or may not be sharing. And we do this by introducing you to a capability from ETR that we've not exposed you to over the past couple of years, it's called the Emerging Technologies Survey, and it is packed with sentiment data and performance data based on surveys of more than a thousand CIOs and IT buyers covering more than 400 companies. And we've invited back our colleague, Erik Bradley of ETR to help explain the survey and the data that we're going to cover today. Erik, this survey is something that I've not personally spent much time on, but I'm blown away at the data. It's really unique and detailed. First of all, welcome. Good to see you again. >> Great to see you too, Dave, and I'm really happy to be talking about the ETS or the Emerging Technology Survey. Even our own clients of constituents probably don't spend as much time in here as they should. >> Yeah, because there's so much in the mainstream, but let's pull up a slide to bring out the survey composition. Tell us about the study. How often do you run it? What's the background and the methodology? >> Yeah, you were just spot on the way you were talking about the private tech companies out there. So what we did is we decided to take all the vendors that we track that are not yet public and move 'em over to the ETS. And there isn't a lot of information out there. If you're not in Silicon (indistinct), you're not going to get this stuff. So PitchBook and Tech Crunch are two out there that gives some data on these guys. But what we really wanted to do was go out to our community. We have 6,000, ITDMs in our community. We wanted to ask them, "Are you aware of these companies? And if so, are you allocating any resources to them? Are you planning to evaluate them," and really just kind of figure out what we can do. So this particular survey, as you can see, 1000 plus responses, over 450 vendors that we track. And essentially what we're trying to do here is talk about your evaluation and awareness of these companies and also your utilization. And also if you're not utilizing 'em, then we can also figure out your sales conversion or churn. So this is interesting, not only for the ITDMs themselves to figure out what their peers are evaluating and what they should put in POCs against the big guys when contracts come up. But it's also really interesting for the tech vendors themselves to see how they're performing. >> And you can see 2/3 of the respondents are director level of above. You got 28% is C-suite. There is of course a North America bias, 70, 75% is North America. But these smaller companies, you know, that's when they start doing business. So, okay. We're going to do a couple of things here today. First, we're going to give you the big picture across the sectors that ETR covers within the ETS survey. And then we're going to look at the high and low sentiment for the larger private companies. And then we're going to do the same for the smaller private companies, the ones that don't have as much mindshare. And then I'm going to put those two groups together and we're going to look at two dimensions, actually three dimensions, which companies are being evaluated the most. Second, companies are getting the most usage and adoption of their offerings. And then third, which companies are seeing the highest churn rates, which of course is a silent killer of companies. And then finally, we're going to look at the sentiment and mindshare for two key areas that we like to cover often here on "Breaking Analysis", security and data. And data comprises database, including data warehousing, and then big data analytics is the second part of data. And then machine learning and AI is the third section within data that we're going to look at. Now, one other thing before we get into it, ETR very often will include open source offerings in the mix, even though they're not companies like TensorFlow or Kubernetes, for example. And we'll call that out during this discussion. The reason this is done is for context, because everyone is using open source. It is the heart of innovation and many business models are super glued to an open source offering, like take MariaDB, for example. There's the foundation and then there's with the open source code and then there, of course, the company that sells services around the offering. Okay, so let's first look at the highest and lowest sentiment among these private firms, the ones that have the highest mindshare. So they're naturally going to be somewhat larger. And we do this on two dimensions, sentiment on the vertical axis and mindshare on the horizontal axis and note the open source tool, see Kubernetes, Postgres, Kafka, TensorFlow, Jenkins, Grafana, et cetera. So Erik, please explain what we're looking at here, how it's derived and what the data tells us. >> Certainly, so there is a lot here, so we're going to break it down first of all by explaining just what mindshare and net sentiment is. You explain the axis. We have so many evaluation metrics, but we need to aggregate them into one so that way we can rank against each other. Net sentiment is really the aggregation of all the positive and subtracting out the negative. So the net sentiment is a very quick way of looking at where these companies stand versus their peers in their sectors and sub sectors. Mindshare is basically the awareness of them, which is good for very early stage companies. And you'll see some names on here that are obviously been around for a very long time. And they're clearly be the bigger on the axis on the outside. Kubernetes, for instance, as you mentioned, is open source. This de facto standard for all container orchestration, and it should be that far up into the right, because that's what everyone's using. In fact, the open source leaders are so prevalent in the emerging technology survey that we break them out later in our analysis, 'cause it's really not fair to include them and compare them to the actual companies that are providing the support and the security around that open source technology. But no survey, no analysis, no research would be complete without including these open source tech. So what we're looking at here, if I can just get away from the open source names, we see other things like Databricks and OneTrust . They're repeating as top net sentiment performers here. And then also the design vendors. People don't spend a lot of time on 'em, but Miro and Figma. This is their third survey in a row where they're just dominating that sentiment overall. And Adobe should probably take note of that because they're really coming after them. But Databricks, we all know probably would've been a public company by now if the market hadn't turned, but you can see just how dominant they are in a survey of nothing but private companies. And we'll see that again when we talk about the database later. >> And I'll just add, so you see automation anywhere on there, the big UiPath competitor company that was not able to get to the public markets. They've been trying. Snyk, Peter McKay's company, they've raised a bunch of money, big security player. They're doing some really interesting things in developer security, helping developers secure the data flow, H2O.ai, Dataiku AI company. We saw them at the Snowflake Summit. Redis Labs, Netskope and security. So a lot of names that we know that ultimately we think are probably going to be hitting the public market. Okay, here's the same view for private companies with less mindshare, Erik. Take us through this one. >> On the previous slide too real quickly, I wanted to pull that security scorecard and we'll get back into it. But this is a newcomer, that I couldn't believe how strong their data was, but we'll bring that up in a second. Now, when we go to the ones of lower mindshare, it's interesting to talk about open source, right? Kubernetes was all the way on the top right. Everyone uses containers. Here we see Istio up there. Not everyone is using service mesh as much. And that's why Istio is in the smaller breakout. But still when you talk about net sentiment, it's about the leader, it's the highest one there is. So really interesting to point out. Then we see other names like Collibra in the data side really performing well. And again, as always security, very well represented here. We have Aqua, Wiz, Armis, which is a standout in this survey this time around. They do IoT security. I hadn't even heard of them until I started digging into the data here. And I couldn't believe how well they were doing. And then of course you have AnyScale, which is doing a second best in this and the best name in the survey Hugging Face, which is a machine learning AI tool. Also doing really well on a net sentiment, but they're not as far along on that access of mindshare just yet. So these are again, emerging companies that might not be as well represented in the enterprise as they will be in a couple of years. >> Hugging Face sounds like something you do with your two year old. Like you said, you see high performers, AnyScale do machine learning and you mentioned them. They came out of Berkeley. Collibra Governance, InfluxData is on there. InfluxDB's a time series database. And yeah, of course, Alex, if you bring that back up, you get a big group of red dots, right? That's the bad zone, I guess, which Sisense does vis, Yellowbrick Data is a NPP database. How should we interpret the red dots, Erik? I mean, is it necessarily a bad thing? Could it be misinterpreted? What's your take on that? >> Sure, well, let me just explain the definition of it first from a data science perspective, right? We're a data company first. So the gray dots that you're seeing that aren't named, that's the mean that's the average. So in order for you to be on this chart, you have to be at least one standard deviation above or below that average. So that gray is where we're saying, "Hey, this is where the lump of average comes in. This is where everyone normally stands." So you either have to be an outperformer or an underperformer to even show up in this analysis. So by definition, yes, the red dots are bad. You're at least one standard deviation below the average of your peers. It's not where you want to be. And if you're on the lower left, not only are you not performing well from a utilization or an actual usage rate, but people don't even know who you are. So that's a problem, obviously. And the VCs and the PEs out there that are backing these companies, they're the ones who mostly are interested in this data. >> Yeah. Oh, that's great explanation. Thank you for that. No, nice benchmarking there and yeah, you don't want to be in the red. All right, let's get into the next segment here. Here going to look at evaluation rates, adoption and the all important churn. First new evaluations. Let's bring up that slide. And Erik, take us through this. >> So essentially I just want to explain what evaluation means is that people will cite that they either plan to evaluate the company or they're currently evaluating. So that means we're aware of 'em and we are choosing to do a POC of them. And then we'll see later how that turns into utilization, which is what a company wants to see, awareness, evaluation, and then actually utilizing them. That's sort of the life cycle for these emerging companies. So what we're seeing here, again, with very high evaluation rates. H2O, we mentioned. SecurityScorecard jumped up again. Chargebee, Snyk, Salt Security, Armis. A lot of security names are up here, Aqua, Netskope, which God has been around forever. I still can't believe it's in an Emerging Technology Survey But so many of these names fall in data and security again, which is why we decided to pick those out Dave. And on the lower side, Vena, Acton, those unfortunately took the dubious award of the lowest evaluations in our survey, but I prefer to focus on the positive. So SecurityScorecard, again, real standout in this one, they're in a security assessment space, basically. They'll come in and assess for you how your security hygiene is. And it's an area of a real interest right now amongst our ITDM community. >> Yeah, I mean, I think those, and then Arctic Wolf is up there too. They're doing managed services. You had mentioned Netskope. Yeah, okay. All right, let's look at now adoption. These are the companies whose offerings are being used the most and are above that standard deviation in the green. Take us through this, Erik. >> Sure, yet again, what we're looking at is, okay, we went from awareness, we went to evaluation. Now it's about utilization, which means a survey respondent's going to state "Yes, we evaluated and we plan to utilize it" or "It's already in our enterprise and we're actually allocating further resources to it." Not surprising, again, a lot of open source, the reason why, it's free. So it's really easy to grow your utilization on something that's free. But as you and I both know, as Red Hat proved, there's a lot of money to be made once the open source is adopted, right? You need the governance, you need the security, you need the support wrapped around it. So here we're seeing Kubernetes, Postgres, Apache Kafka, Jenkins, Grafana. These are all open source based names. But if we're looking at names that are non open source, we're going to see Databricks, Automation Anywhere, Rubrik all have the highest mindshare. So these are the names, not surprisingly, all names that probably should have been public by now. Everyone's expecting an IPO imminently. These are the names that have the highest mindshare. If we talk about the highest utilization rates, again, Miro and Figma pop up, and I know they're not household names, but they are just dominant in this survey. These are applications that are meant for design software and, again, they're going after an Autodesk or a CAD or Adobe type of thing. It is just dominant how high the utilization rates are here, which again is something Adobe should be paying attention to. And then you'll see a little bit lower, but also interesting, we see Collibra again, we see Hugging Face again. And these are names that are obviously in the data governance, ML, AI side. So we're seeing a ton of data, a ton of security and Rubrik was interesting in this one, too, high utilization and high mindshare. We know how pervasive they are in the enterprise already. >> Erik, Alex, keep that up for a second, if you would. So yeah, you mentioned Rubrik. Cohesity's not on there. They're sort of the big one. We're going to talk about them in a moment. Puppet is interesting to me because you remember the early days of that sort of space, you had Puppet and Chef and then you had Ansible. Red Hat bought Ansible and then Ansible really took off. So it's interesting to see Puppet on there as well. Okay. So now let's look at the churn because this one is where you don't want to be. It's, of course, all red 'cause churn is bad. Take us through this, Erik. >> Yeah, definitely don't want to be here and I don't love to dwell on the negative. So we won't spend as much time. But to your point, there's one thing I want to point out that think it's important. So you see Rubrik in the same spot, but Rubrik has so many citations in our survey that it actually would make sense that they're both being high utilization and churn just because they're so well represented. They have such a high overall representation in our survey. And the reason I call that out is Cohesity. Cohesity has an extremely high churn rate here about 17% and unlike Rubrik, they were not on the utilization side. So Rubrik is seeing both, Cohesity is not. It's not being utilized, but it's seeing a high churn. So that's the way you can look at this data and say, "Hm." Same thing with Puppet. You noticed that it was on the other slide. It's also on this one. So basically what it means is a lot of people are giving Puppet a shot, but it's starting to churn, which means it's not as sticky as we would like. One that was surprising on here for me was Tanium. It's kind of jumbled in there. It's hard to see in the middle, but Tanium, I was very surprised to see as high of a churn because what I do hear from our end user community is that people that use it, like it. It really kind of spreads into not only vulnerability management, but also that endpoint detection and response side. So I was surprised by that one, mostly to see Tanium in here. Mural, again, was another one of those application design softwares that's seeing a very high churn as well. >> So you're saying if you're in both... Alex, bring that back up if you would. So if you're in both like MariaDB is for example, I think, yeah, they're in both. They're both green in the previous one and red here, that's not as bad. You mentioned Rubrik is going to be in both. Cohesity is a bit of a concern. Cohesity just brought on Sanjay Poonen. So this could be a go to market issue, right? I mean, 'cause Cohesity has got a great product and they got really happy customers. So they're just maybe having to figure out, okay, what's the right ideal customer profile and Sanjay Poonen, I guarantee, is going to have that company cranking. I mean they had been doing very well on the surveys and had fallen off of a bit. The other interesting things wondering the previous survey I saw Cvent, which is an event platform. My only reason I pay attention to that is 'cause we actually have an event platform. We don't sell it separately. We bundle it as part of our offerings. And you see Hopin on here. Hopin raised a billion dollars during the pandemic. And we were like, "Wow, that's going to blow up." And so you see Hopin on the churn and you didn't see 'em in the previous chart, but that's sort of interesting. Like you said, let's not kind of dwell on the negative, but you really don't. You know, churn is a real big concern. Okay, now we're going to drill down into two sectors, security and data. Where data comprises three areas, database and data warehousing, machine learning and AI and big data analytics. So first let's take a look at the security sector. Now this is interesting because not only is it a sector drill down, but also gives an indicator of how much money the firm has raised, which is the size of that bubble. And to tell us if a company is punching above its weight and efficiently using its venture capital. Erik, take us through this slide. Explain the dots, the size of the dots. Set this up please. >> Yeah. So again, the axis is still the same, net sentiment and mindshare, but what we've done this time is we've taken publicly available information on how much capital company is raised and that'll be the size of the circle you see around the name. And then whether it's green or red is basically saying relative to the amount of money they've raised, how are they doing in our data? So when you see a Netskope, which has been around forever, raised a lot of money, that's why you're going to see them more leading towards red, 'cause it's just been around forever and kind of would expect it. Versus a name like SecurityScorecard, which is only raised a little bit of money and it's actually performing just as well, if not better than a name, like a Netskope. OneTrust doing absolutely incredible right now. BeyondTrust. We've seen the issues with Okta, right. So those are two names that play in that space that obviously are probably getting some looks about what's going on right now. Wiz, we've all heard about right? So raised a ton of money. It's doing well on net sentiment, but the mindshare isn't as well as you'd want, which is why you're going to see a little bit of that red versus a name like Aqua, which is doing container and application security. And hasn't raised as much money, but is really neck and neck with a name like Wiz. So that is why on a relative basis, you'll see that more green. As we all know, information security is never going away. But as we'll get to later in the program, Dave, I'm not sure in this current market environment, if people are as willing to do POCs and switch away from their security provider, right. There's a little bit of tepidness out there, a little trepidation. So right now we're seeing overall a slight pause, a slight cooling in overall evaluations on the security side versus historical levels a year ago. >> Now let's stay on here for a second. So a couple things I want to point out. So it's interesting. Now Snyk has raised over, I think $800 million but you can see them, they're high on the vertical and the horizontal, but now compare that to Lacework. It's hard to see, but they're kind of buried in the middle there. That's the biggest dot in this whole thing. I think I'm interpreting this correctly. They've raised over a billion dollars. It's a Mike Speiser company. He was the founding investor in Snowflake. So people watch that very closely, but that's an example of where they're not punching above their weight. They recently had a layoff and they got to fine tune things, but I'm still confident they they're going to do well. 'Cause they're approaching security as a data problem, which is probably people having trouble getting their arms around that. And then again, I see Arctic Wolf. They're not red, they're not green, but they've raised fair amount of money, but it's showing up to the right and decent level there. And a couple of the other ones that you mentioned, Netskope. Yeah, they've raised a lot of money, but they're actually performing where you want. What you don't want is where Lacework is, right. They've got some work to do to really take advantage of the money that they raised last November and prior to that. >> Yeah, if you're seeing that more neutral color, like you're calling out with an Arctic Wolf, like that means relative to their peers, this is where they should be. It's when you're seeing that red on a Lacework where we all know, wow, you raised a ton of money and your mindshare isn't where it should be. Your net sentiment is not where it should be comparatively. And then you see these great standouts, like Salt Security and SecurityScorecard and Abnormal. You know they haven't raised that much money yet, but their net sentiment's higher and their mindshare's doing well. So those basically in a nutshell, if you're a PE or a VC and you see a small green circle, then you're doing well, then it means you made a good investment. >> Some of these guys, I don't know, but you see these small green circles. Those are the ones you want to start digging into and maybe help them catch a wave. Okay, let's get into the data discussion. And again, three areas, database slash data warehousing, big data analytics and ML AI. First, we're going to look at the database sector. So Alex, thank you for bringing that up. Alright, take us through this, Erik. Actually, let me just say Postgres SQL. I got to ask you about this. It shows some funding, but that actually could be a mix of EDB, the company that commercializes Postgres and Postgres the open source database, which is a transaction system and kind of an open source Oracle. You see MariaDB is a database, but open source database. But the companies they've raised over $200 million and they filed an S-4. So Erik looks like this might be a little bit of mashup of companies and open source products. Help us understand this. >> Yeah, it's tough when you start dealing with the open source side and I'll be honest with you, there is a little bit of a mashup here. There are certain names here that are a hundred percent for profit companies. And then there are others that are obviously open source based like Redis is open source, but Redis Labs is the one trying to monetize the support around it. So you're a hundred percent accurate on this slide. I think one of the things here that's important to note though, is just how important open source is to data. If you're going to be going to any of these areas, it's going to be open source based to begin with. And Neo4j is one I want to call out here. It's not one everyone's familiar with, but it's basically geographical charting database, which is a name that we're seeing on a net sentiment side actually really, really high. When you think about it's the third overall net sentiment for a niche database play. It's not as big on the mindshare 'cause it's use cases aren't as often, but third biggest play on net sentiment. I found really interesting on this slide. >> And again, so MariaDB, as I said, they filed an S-4 I think $50 million in revenue, that might even be ARR. So they're not huge, but they're getting there. And by the way, MariaDB, if you don't know, was the company that was formed the day that Oracle bought Sun in which they got MySQL and MariaDB has done a really good job of replacing a lot of MySQL instances. Oracle has responded with MySQL HeatWave, which was kind of the Oracle version of MySQL. So there's some interesting battles going on there. If you think about the LAMP stack, the M in the LAMP stack was MySQL. And so now it's all MariaDB replacing that MySQL for a large part. And then you see again, the red, you know, you got to have some concerns about there. Aerospike's been around for a long time. SingleStore changed their name a couple years ago, last year. Yellowbrick Data, Fire Bolt was kind of going after Snowflake for a while, but yeah, you want to get out of that red zone. So they got some work to do. >> And Dave, real quick for the people that aren't aware, I just want to let them know that we can cut this data with the public company data as well. So we can cross over this with that because some of these names are competing with the larger public company names as well. So we can go ahead and cross reference like a MariaDB with a Mongo, for instance, or of something of that nature. So it's not in this slide, but at another point we can certainly explain on a relative basis how these private names are doing compared to the other ones as well. >> All right, let's take a quick look at analytics. Alex, bring that up if you would. Go ahead, Erik. >> Yeah, I mean, essentially here, I can't see it on my screen, my apologies. I just kind of went to blank on that. So gimme one second to catch up. >> So I could set it up while you're doing that. You got Grafana up and to the right. I mean, this is huge right. >> Got it thank you. I lost my screen there for a second. Yep. Again, open source name Grafana, absolutely up and to the right. But as we know, Grafana Labs is actually picking up a lot of speed based on Grafana, of course. And I think we might actually hear some noise from them coming this year. The names that are actually a little bit more disappointing than I want to call out are names like ThoughtSpot. It's been around forever. Their mindshare of course is second best here but based on the amount of time they've been around and the amount of money they've raised, it's not actually outperforming the way it should be. We're seeing Moogsoft obviously make some waves. That's very high net sentiment for that company. It's, you know, what, third, fourth position overall in this entire area, Another name like Fivetran, Matillion is doing well. Fivetran, even though it's got a high net sentiment, again, it's raised so much money that we would've expected a little bit more at this point. I know you know this space extremely well, but basically what we're looking at here and to the bottom left, you're going to see some names with a lot of red, large circles that really just aren't performing that well. InfluxData, however, second highest net sentiment. And it's really pretty early on in this stage and the feedback we're getting on this name is the use cases are great, the efficacy's great. And I think it's one to watch out for. >> InfluxData, time series database. The other interesting things I just noticed here, you got Tamer on here, which is that little small green. Those are the ones we were saying before, look for those guys. They might be some of the interesting companies out there and then observe Jeremy Burton's company. They do observability on top of Snowflake, not green, but kind of in that gray. So that's kind of cool. Monte Carlo is another one, they're sort of slightly green. They are doing some really interesting things in data and data mesh. So yeah, okay. So I can spend all day on this stuff, Erik, phenomenal data. I got to get back and really dig in. Let's end with machine learning and AI. Now this chart it's similar in its dimensions, of course, except for the money raised. We're not showing that size of the bubble, but AI is so hot. We wanted to cover that here, Erik, explain this please. Why TensorFlow is highlighted and walk us through this chart. >> Yeah, it's funny yet again, right? Another open source name, TensorFlow being up there. And I just want to explain, we do break out machine learning, AI is its own sector. A lot of this of course really is intertwined with the data side, but it is on its own area. And one of the things I think that's most important here to break out is Databricks. We started to cover Databricks in machine learning, AI. That company has grown into much, much more than that. So I do want to state to you Dave, and also the audience out there that moving forward, we're going to be moving Databricks out of only the MA/AI into other sectors. So we can kind of value them against their peers a little bit better. But in this instance, you could just see how dominant they are in this area. And one thing that's not here, but I do want to point out is that we have the ability to break this down by industry vertical, organization size. And when I break this down into Fortune 500 and Fortune 1000, both Databricks and Tensorflow are even better than you see here. So it's quite interesting to see that the names that are succeeding are also succeeding with the largest organizations in the world. And as we know, large organizations means large budgets. So this is one area that I just thought was really interesting to point out that as we break it down, the data by vertical, these two names still are the outstanding players. >> I just also want to call it H2O.ai. They're getting a lot of buzz in the marketplace and I'm seeing them a lot more. Anaconda, another one. Dataiku consistently popping up. DataRobot is also interesting because all the kerfuffle that's going on there. The Cube guy, Cube alum, Chris Lynch stepped down as executive chairman. All this stuff came out about how the executives were taking money off the table and didn't allow the employees to participate in that money raising deal. So that's pissed a lot of people off. And so they're now going through some kind of uncomfortable things, which is unfortunate because DataRobot, I noticed, we haven't covered them that much in "Breaking Analysis", but I've noticed them oftentimes, Erik, in the surveys doing really well. So you would think that company has a lot of potential. But yeah, it's an important space that we're going to continue to watch. Let me ask you Erik, can you contextualize this from a time series standpoint? I mean, how is this changed over time? >> Yeah, again, not show here, but in the data. I'm sorry, go ahead. >> No, I'm sorry. What I meant, I should have interjected. In other words, you would think in a downturn that these emerging companies would be less interesting to buyers 'cause they're more risky. What have you seen? >> Yeah, and it was interesting before we went live, you and I were having this conversation about "Is the downturn stopping people from evaluating these private companies or not," right. In a larger sense, that's really what we're doing here. How are these private companies doing when it comes down to the actual practitioners? The people with the budget, the people with the decision making. And so what I did is, we have historical data as you know, I went back to the Emerging Technology Survey we did in November of 21, right at the crest right before the market started to really fall and everything kind of started to fall apart there. And what I noticed is on the security side, very much so, we're seeing less evaluations than we were in November 21. So I broke it down. On cloud security, net sentiment went from 21% to 16% from November '21. That's a pretty big drop. And again, that sentiment is our one aggregate metric for overall positivity, meaning utilization and actual evaluation of the name. Again in database, we saw it drop a little bit from 19% to 13%. However, in analytics we actually saw it stay steady. So it's pretty interesting that yes, cloud security and security in general is always going to be important. But right now we're seeing less overall net sentiment in that space. But within analytics, we're seeing steady with growing mindshare. And also to your point earlier in machine learning, AI, we're seeing steady net sentiment and mindshare has grown a whopping 25% to 30%. So despite the downturn, we're seeing more awareness of these companies in analytics and machine learning and a steady, actual utilization of them. I can't say the same in security and database. They're actually shrinking a little bit since the end of last year. >> You know it's interesting, we were on a round table, Erik does these round tables with CISOs and CIOs, and I remember one time you had asked the question, "How do you think about some of these emerging tech companies?" And one of the executives said, "I always include somebody in the bottom left of the Gartner Magic Quadrant in my RFPs. I think he said, "That's how I found," I don't know, it was Zscaler or something like that years before anybody ever knew of them "Because they're going to help me get to the next level." So it's interesting to see Erik in these sectors, how they're holding up in many cases. >> Yeah. It's a very important part for the actual IT practitioners themselves. There's always contracts coming up and you always have to worry about your next round of negotiations. And that's one of the roles these guys play. You have to do a POC when contracts come up, but it's also their job to stay on top of the new technology. You can't fall behind. Like everyone's a software company. Now everyone's a tech company, no matter what you're doing. So these guys have to stay in on top of it. And that's what this ETS can do. You can go in here and look and say, "All right, I'm going to evaluate their technology," and it could be twofold. It might be that you're ready to upgrade your technology and they're actually pushing the envelope or it simply might be I'm using them as a negotiation ploy. So when I go back to the big guy who I have full intentions of writing that contract to, at least I have some negotiation leverage. >> Erik, we got to leave it there. I could spend all day. I'm going to definitely dig into this on my own time. Thank you for introducing this, really appreciate your time today. >> I always enjoy it, Dave and I hope everyone out there has a great holiday weekend. Enjoy the rest of the summer. And, you know, I love to talk data. So anytime you want, just point the camera on me and I'll start talking data. >> You got it. I also want to thank the team at ETR, not only Erik, but Darren Bramen who's a data scientist, really helped prepare this data, the entire team over at ETR. I cannot tell you how much additional data there is. We are just scratching the surface in this "Breaking Analysis". So great job guys. I want to thank Alex Myerson. Who's on production and he manages the podcast. Ken Shifman as well, who's just coming back from VMware Explore. Kristen Martin and Cheryl Knight help get the word out on social media and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE. Does some great editing for us. Thank you. All of you guys. Remember these episodes, they're all available as podcast, wherever you listen. All you got to do is just search "Breaking Analysis" podcast. I publish each week on wikibon.com and siliconangle.com. Or you can email me to get in touch david.vellante@siliconangle.com. You can DM me at dvellante or comment on my LinkedIn posts and please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for Erik Bradley and The Cube Insights powered by ETR. Thanks for watching. Be well. And we'll see you next time on "Breaking Analysis". (upbeat music)

>> From theCUBE Studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> New data from ETR's soon to be released April survey, shows a clear deceleration in spending and a more cautious posture from technology buyers. Just this week, we saw sell side downgrades in hardware companies like Dell and HP and revised guidance from high flyer UiPath, citing exposures to Russia, Europe and certain sales execution challenges, but these headlines, we think are a canary in the coal mine. According to ETR analysis and channel checks in theCUBE, the real story is these issues are not isolated. Rather we're seeing signs of caution from buyers across the board in enterprise tech. Hello and welcome to this week's Wikibon CUBE insights powered by ETR. In this Breaking Analysis, we are the bearers of bad news. Don't shoot the messenger. We'll share a first look at fresh data that suggests a tightening in tech spending calling for 6% growth this year which is below our January prediction of 8% for 2022. Now, unfortunately the party may be coming to an end at least for a while. You know, it's really not surprising, right? We've had a two year record run in tech spending and meteoric rises in high flying technology stocks. Hybrid work, equipping and securing remote workers. The forced march to digital that we talk about sometimes. These were all significant tailwinds for tech companies. The NASDAQ peaked late last year and then as you can see in this chart, bottomed in mid-March of 2022, and it made a nice run up through the 29th of last month, but the mini rally appears to be in jeopardy with FED rate hikes, Russia, supply chain challenges. There's a lot of uncertainty so we should expect the C-suite to be saying, hey, wait slow down. Now we don't think the concerns are confined to companies with exposure to Russia and Europe. We think it's more broad based than that and we're seeing caution from technology companies and tech buyers that we think is prudent, given the conditions. You know, looks like the two year party has ended and as my ETR colleague Erik Bradley said, a little hangover shouldn't be a surprise to anybody. So let's get right to the new spending data. I'm limited to what I can share with you today because ETR is in its quiet period and hasn't released full results yet outside of its client base. But, they did put out an alert today and I can share this slide. It shows the expectation on spending growth from more than a thousand CIOs and IT buyers who responded in the most recent survey. It measures their expectations for spending. The key focus areas that I want you to pay attention to in this data are the yellow bars. The most recent survey is the yellow compared to the blue and the gray bars, which are the December and September '21 surveys respectively. And you can see a steep drop from last year in Q1, lowered expectations for Q2 in the far right, a drop from nearly 9% last September to around 6% today. Now you may think a 200 basis point downgrade from our prediction in January of 8% seems somewhat benign, but in a $4 trillion IT market, that's 80 billion coming off the income statements of some tech companies. Now the good news is that 6% growth is still very healthy and higher than pre pandemic spending levels. And the buyers we've talked to this week are saying, look, we're still spending money. We just have to be more circumspect about where and how fast. Now, there were a few other callouts in the ETR data and in my discussions today with Erik Bradley on this. First, it looks like in response to expected supply chain constraints that buyers pulled forward their orders late last year and earlier this year. You remember when we couldn't buy toilet paper, people started the stockpile and it created this rubber banding effect. So we see clear signs of receding momentum in the PC and laptop market. But as we said, this is not isolated to PCs, UiPath's earning guidance confirm this but the story doesn't end there. This isn't isolated to UiPath in our view, rather it's a more based slowdown. The other big sign is spending in outsourced IT which is showing a meaningful deceleration in the last survey, showing a net score drop from 13% in January to 6% today. Net score remember is a measure of the net percentage of customers in the survey that on balance are spending more than last survey. It's derived by subtracting the percent of customers spending less from those spending more. And there's a, that's a 700 basis point drop in three months. This isn't a market where you can't hire enough people. The percent of companies hiring has gone from 10% during the pandemic to 50% today according to recent data from ETR. And we know there's still an acute skills shortage. So you would expect more IT outsourcing, but you don't see that in the data, it's down. And as this quote from Erik Bradley explains, historically, when outsourced IT drops like this, especially in a tight labor market, it's not good news for IT spending. All right, now, the other interesting callout from ETR were some specific company names that appear to be seeing the biggest change in spending momentum. Here's the list of those companies that all have meaningful exposure to Europe. That's really where the focus was. SAP has big exposure to on-premises installations and of course, Europe as well. ServiceNow has European exposure and also broad based exposure in IT in across the globe, especially in the US. Zoom didn't go to the moon, no surprise there given the quasi return to work and Zoom fatigue. McAfee is a bit of a concern because security seemed to be one of those areas, when you look at some of the other data, that is per actually insulated from all the spending caution. Of course we saw the Okta hack and we're going to cover that next week with hopefully some new data from ETR, but generally security's been holding up pretty well. You look at CrowdStrike, you look at Zscaler in particular. Adobe's another company that's had a nice bounce in the last couple of weeks. Accenture, again, speaks to that outsourcing headwinds that we mentioned earlier. And now the Google Cloud platform is a bit of a concern. It's still elevated overall, you know but down and well down in Europe. Under that magic, you know we often show that magic 40% dotted line, that red dotted line of net score anything above that we cite as elevated. Well, some important callouts to hear that you see companies that have Euro exposure. And again, we see this as just not confined to Europe and this is something we're going to pay close attention to and continue to report on in the next several weeks and months. All right, so what should we expect from here? The Ark investment stocks of Cathie Wood fame have been tracking in a downward trend since last November, meaning, you know, these high PE stocks are making lower lows and higher, sorry, lower highs and lower lows since then, right? The trend is not their friend. Investors I talk to are being much more cautious about buying the dip. They're raising cash and being a little bit more patient. You know, traders can trade in this environment but unless you can pay attention to in a minute by minute you're going to get whipsawed. Investors tell me that they're still eyeing big tech even though Apple has been on a recent tear and has some exposure with supply change challenges, they're looking for maybe entry points in, within that chop for Apple, Amazon, Microsoft, and Alphabet. And look, as I've been stressing, 6% spending growth is still very solid. It's a case of resetting the outlook relative to previous expectations. So when you zoom out and look at the growth in data, getting digital right, security investments, automation, cloud, AI containers, all the fundamentals are really strong and they have not changed. They're all powering this new digital economy and we believe it's just prudence versus a shift in the importance of IT. Now, one point of caution is there's a lot of discussion around a shift in global economies. Supply chain uncertainty, persistent semiconductor shortages especially in areas like, you know driver ICs and boring things like parts for displays and analog and micro controllers and power regulators. Stuff that's, you know, just not playing nice these days and wreaking havoc. And this creates uncertainty, which sometimes can pick up momentum in a snowballing effect. And that's something that we're watching closely and we're going to be vigilant reporting to you when we see changes in the data and in our forecast even when we think our forecast are wrong. Okay, that's it for today. Thanks to Alex Merson who does the production and podcasts for Breaking Analysis and Stephanie Chan who provides background research. Kristen Martin and Cheryl Knight, and all theCUBE writers they help get the word out, and thanks to Rob Hof, our EIC over at SiliconANGLE. Remember I publish weekly on wikibon.com and siliconangle.com. These episodes are all available as podcasts wherever you listen. All you got to do is search Breaking Analysis podcasts. etr.ai that's where you can get access to all this survey data and make your own cuts. It's awesome, check that out. Keep in touch with me. You can email me at dave.vellante@siliconangle.com. You can hit me up on LinkedIn. This is Dave Vellante for theCUBE insights powered by ETR. Be safe, stay well, and we'll see you next time. (gentle music)

(upbeat music) >> Hey, everyone. Welcome to theCUBE's coverage of Women in Tech: International Women's Day, 2022. I'm your host, Lisa Martin. Erin Chu joins me next. Life Sciences Lead at AWS Open Data. Erin, welcome to the program. >> Thanks so much for having me, Lisa. Tell me a little bit about you and your role at AWS. >> I would love to. So I am a life sciences lead on the AWS Open Data team, and we are really in the business of democratizing access to data. We believe that if you make high quality, high impact data openly available in the cloud, that people can start innovate, make discoveries and do science faster with those data. So we have a number of specialists with expertise in different domains. Geospatial sciences, climate sustainability, statistical regulatory and then of course myself, the life sciences lead. >> So, you have a really interesting background. You're a veterinarian by training. You have a PhD, you've worked in mobile veterinary clinics, and also in an animal genomic startup, how did you make the change from the clinical side to working for a large international, one of the biggest companies in the world? >> Yeah, I love that question because so much of, I think, anybody's career path is serendipitous and circumstantial, right? But the fact is I was working in a mobile veterinary clinics while I was finishing up a PhD in molecular genomics. And at the same time was reached out to by a professor at Cornell who had started a little dog genomic startup. And he said, "Hey, we need a veterinarian who can talk to people and who understands the genomic side of things?" And I said, "Yeah, I'm your girl." And I came on full time with that startup towards the end of my PhD, signed on after I finished, came on on as their senior veterinary geneticist. Startups a great whirlwind. You end up learning a ton. You have a huge, deep learning curve. You're wearing every possible hat you can. And after a couple years there, I wondered what else I could do. And simply said, where else could I look for work? And how else could I grow? And I decided to try the larger tech world, because I said, this is a toolkit I don't have yet. So I'd like to try and see how I can do it, and here I am. >> And you, I was reading about you that you felt empowered by the notion that I have to trust my instincts. You look at careers in biology, you decided what directions you wanted to take but how did you kind of conjure that feeling of empowerment? >> Yeah, I have to see say I have an incredibly supportive team and in supportive manager, but a lot of it was simply because I've never been afraid to fail. The worst thing that someone can ever say to you is, no or that you didn't do that well. Once you come across that once in your life, it doesn't hurt so bad the second time around. And so, I was hired for a very specific data set that my team was helping to manage. And that does take up a good deal of my time, it still does, but I also had the freedom to say, "Hey, what are the trends in biology? I am an expert in this field. What do I know is coming around the corner? What do I know my researchers need?" And I was entrusted with that, this ability to say, "Hey, these are the decisions I think we should make." And I got to see those outcomes fairly quickly. So, my managers have always put a good deal of trust in me and I don't think I've let them down. >> I'm sure you haven't. Tell me a little bit about some of your mentors or sponsors that have helped guide you along the way and really kind of feel that empowerment that you already had. >> Absolutely. Well, the first and foremost mentor in has been my mother. So, in the spirit of International Women's Day, my mom is actually the first Asian engineer to ever reach executive level. Asian female engineer to ever reach executive level at IBM. And so, I spent my life seeing what my mother could do, and watching her just succeed. And I think very early it clear, she said, "What can't you do?" And that was kind of how I approached my entire life, is what can't I do, and what's the worst thing that will happen. You fail and then you try again. So she is absolutely my first mentor, and a role model to me and hopefully to women everywhere, honestly. I've had some amazing teachers and mentors. My professor who oversaw my PhD, Dr. Paul Soloway. He's currently still at Cornell, really just said, "What decisions do you want to make?" And, "I will support you in the best way I can." And we learned a lot together. I have a professor at Cornell who I still come back. I speak at her alternate careers in veterinary medicine because she just... And she was the one who told me, "Erin, you have a really high buoyancy factor. Don't lose that." And her name is Dr. Carolyn McDaniel. And she has just been such a positive force just saying, "What else could we do?" >> Well, that's- >> And, "Never let your degrees or your training say that this is what you have to do. Think of it as a starting point." >> That's a great point. We often, especially when we're little kids, many of us, you think of these very defined, doctor, lawyer, accountants, nurse instead of having something like you do and being able to go, what else can I do with this? How can I take this education, this information and the interest that I have and parlay it into something that really can kick the door wide open. And to your point, I love how your mom was saying, "What can't you do?" That's a message that everyone needs to hear. And there's an AWS Open Data Sponsorship Program. Talk to me a little bit about that. I'm always interested in sponsorship programs. >> Oh, thanks for asking. So the Open Data Sponsorship Program or the ODP since Open Data Sponsorship Program can be a little mouthful after you say it a few times, but the ODP is a program that AWS sponsors where we will actually cover at the cost of storage transfer and egress of high impact data sets in the cloud. Basically, we know that sometimes the barrier to getting into cloud can be very high for certain providers of gold standard data sets. And when I mean gold standard data sets, I mean like NASA Sentinel-2, or the National Institutes of Health Sequence Read Archive. These are invaluable data sets that are ingested by thousands if not millions of users every day. And what we want to do is lower that barrier to cloud and efficient distribution of those data to zero. So, the program is actually open to anybody. It can be a government entity, it can be a startup, it can be nonprofit. We want to understand more about your data and help you distribute it well in the cloud. >> So this is for any type of organization regardless of industry? >> That's right. >> So, you're really allowing more organizations... One of the things that we say often when we're talking on theCUBE is that every company these days is a data company, or it has to be. Every company has to be a tech company, whether we're talking about your grocery store or AWS, for example. So helping organizations to be able to take that data, understand it, and have those personal conversations that as consumers we expect is critical, but it's challenging for organizations that say, "Well, I came up in retail and now I've got to be a tech company." Talk to me about kind of empowering organizations to be able to use that data, to grow the organization, grow the business, but also to delight customers 'cause of course we are quite picky. >> You're so right. Data is power and it doesn't matter what you are selling or who you are serving. If you have the data about your product. And also to some degree, the data about who your consumers are, you can really tailor an experience. I always tell my colleagues that data is impersonal, right? You can look at bits and bites, numbers, structured columns and rows, but you can funnel data into a truly personal experience as long as you do you it right. And hopefully, when I work with my data providers I ask them, how do you want people to use your data? What are the caveats? How can we make these data easy to work with? But also easy to draw correct insights from. >> Right, that easy to use is critical because as you know the proliferation of data just continues and it will continue. If we think of experiences. I want to go back to your experience. What's been the biggest learning curve that you've had so far? >> Oh my gosh. So, the best part of being at a large company is that you're not in the same room or even like whatever the same slack channel as all of your colleagues, right? Coming from a startup or clinical space where quite literally you are in the same room as everybody 'cause there are less than 60 of you, you could just talk to the person who might be an internal stakeholder. You had that personal relationship, and frankly, like most of the time your views were very aligned. It was sell the product, get to MVP. Moving into larger tech, the steepest curve I had other than becoming very comfortable in the cloud, in all the services that AWS has to offer, were to manage those internal relationships. You have to understand who the stakeholders are. There typically many, many of them for any given project or a company that we're serving. And you have to make sure that you're all aligned internally, make sure that everyone gets what they need and that we reach that end to ultimately serve the customer together. >> Yeah, that communication and collaboration is key. And that's something that we've seen over the last two years, is how dependent we've all become on collaboration tools. But it is a different type of relationship. You're right. Going from a clinic where you're all in the same room or the same location to everyone being distributed globally. Relationship management there is key. It's one of my favorite things about being in tech is that, I think it's such a great community. It's a small community, and I think there's so there's so much opportunity there. If you're a good person, you manage those relationships and you learn how to work with different types of people. You'll always be successful. Talk to me about what you would say, if someone's saying, "Erin, I need some advice. I want to change industries or I want to take this background that I have, and use it in a different industry." What are the three pieces of advice that you would share? >> Oh, absolutely. So, the first thing that I always talk with my... I have quite a few colleagues who have approached me from all different parts of my life. And they've said, "Erin, how did you make the change? And how can I make a change?" And the first thing I say is let's look at your resume and define what your translational skills are. That is so big, right? It doesn't matter what you think you're a specialist in, it's how generalizable are those specialty skills and how can you show that to somebody who's looking at your resume. Let's call it a nontraditional resume. And the second is don't hesitate to ask question. Go for the informational interview. People want to tell you about how they've gotten to where they are and how you might be able to get there too. And so I say, get on LinkedIn and start asking questions. If one person says yes, and you get no responses I call that a success. Don't be afraid of not getting a response, that's okay. And the last thing, and I think this is the most important thing is to hold onto the things that make you happy no matter where you are in your life. It's important to realize you are more than your job. It is important to remember what makes you happy and try to hang on those. I am a gym rat. I admit that I am a gym rat. I'm in the gym five days a week. I have a horse. I go out to see him at least two or three a days. I know it's typical veterinarian, right? You just collect niches until you run out of things you want to pay for. But those are things that have been constant through 20 plus years of being in the workforce. And they've been what kept me going. Let's revise that in ten years. >> So critical because as we all know tech can be all consuming. It will take everything if you let it. So being able to have... We always talk about the balance. Well, the balance is hard. It's definitely a way to scale, right? It's going back and forth, but being able to hold onto the things that actually make you who you are, I think make you better at your job, probably more productive and happier. >> I agree. I totally agree. >> Another thing that you believe, which I love, this is an important message is that, if you look at a job, I like how you said earlier, the worst they can say is no. You have nothing to lose. And it's really true. As scary as that is same thing with raising your hand as you say, and I agree with you about that. Ask a question. It's not a dumb question. I guarantee you. If you're in a room or you're on a Zoom or even in a slack channel. A fair number of people probably have the same question. Be the one to raise your hand and say, "Maybe I missed this. Can you clarify this?" But you also think that you don't have to meet all the job requirements. If you see something that says, five years experience in this or 10 years in that or must have this degree or that degree, you're saying you don't have to meet all that criteria. >> I agree. Yeah, that's another big thing is that, I'll literally talk to people who are like, "Well, Erin, this job application, look at all these requirements and I can't fill these requirements." I'm like, "First of all, who says you can't?" Just because you don't have a certification, what has your work thus far done to reflect that? Yeah, you can meet that requirement, even if you don't have an official certification. But two, like what's the worst thing that happens. You don't get a call back from a recruiter. That's okay. I have so many friends who are afraid of failure, and I tell them, just fail once doesn't hurt. It never hurts as much as you think it's going to hurt. And then you just keep going. >> You keep going and you learn. But you've also brought up a great point about those transfer growth skills or those soft skills that are so important. Communication skills, for example. Relationship building skills that may not be in that written job description. So you may not think about actually there's a tremendous amount of importance that these skills have. That having this kind of breadth of background. I think is always so interesting we think about thought diversity, and if we're talking about women in tech. We know that the number of women in technical roles is is still pretty low, but there's so much data that shows that companies that have even 30% females on their executive staff are more performant and more profitable. So that thought diversity is important, but we need more women to be able to feel that empowerment I think that you feel. >> Yes. >> So when you think of International Women's Day with the theme of breaking the bias, what does that mean to you and where do you feel we are in terms of breaking the bias? >> Yeah, so it's interesting, I was just on a working group with some of my colleagues from our larger organization at AWS. And we were talking about, what are different kinds of bias and what our strategies to go ahead and combat them. The fact is we are all making progress and it has to be in one step at a time. I don't think that if we snapped our fingers, things would just go away. You have to take one step at a time. I also come at it from a data perspective, right? I'm a data person. I work with data. And like I said, data is, or data are, if you want to be correct. Data are impersonal, right? They are just statistics, their numbers, but you can use data to suddenly say, "Hey, where are the biases? And how can we fix them?" So I'm going to give you a great example. So my mother, again, a wonderful woman, a super amazing role model to me. She was diagnosed with breast cancer last year. And she being a smart lady, actually looked online. She went online on Google Scholar and PubMed Central. And she said, "May, look..." May is my little nickname. She goes, "Look at these numbers." She said, "My prognosis is terrible. Look at these numbers, how can you say that this is worth it. That chemotherapy is worth it." And I looked at it and I said, "Mom, I hate to break this to you. But this is a retrospective study of several thousand women from the Bavarian cancer registry." And you might guess I am not a Bavarian origin. I had a chat with her and I said, "Mom, let's look at the data. What are the data? And how can you take away stuff from this with the caveat that you may very well not have the same genetic background as some of the women or most of the women in this registry." There are biases. We know when we look at population sequencing, when we look at the people who are sequenced, the people who put in medical survey information. There are not representations of certain ethnicities of certain sexes, of certain parts of the country. One of the things I really want to do in the next three years is say, how can we support people who are trying to increase representation and research so that every single woman gets the right care and can feel like they are themselves represented in what we call precision medicine or personalized care. >> Absolutely. >> That's a long story. >> It was a great story. >> That was a long answer to answer your question. >> You talked about how your mom was a great inspiration to you and it sounds like you've been quite a great inspiration to her as well. Was a delight talking with you, Erin. Congratulations on your success on being able to be one of those people that is helping to break the bias. We appreciate your time. >> Thanks, Lisa. >> My pleasure. For Erin Chu, I'm Lisa Martin. You're watching Women in Tech: International Women's Day, 2022. (upbeat music)

>>Hey, welcome back everyone to the cubes coverage of Avis reinvent 2021 here in Las Vegas. Um, John, for your host, the Q with my coach, Dave Nicholson cloud analyst here with SiliconANGLE in the queue. We've got a great guest Rez, the honor, man, SVP cloud hyperscalers transformation TD. Synnex welcome to the cube. Thanks for coming on resident. Hey, >>Good morning. Good >>Morning to you guys. You guys just had this big acquisition with billions and billions of dollars in revenue. Take us through, what are you guys do for set the table for the, for the company? Right. >>Okay. Yeah, it is a pretty big one. Uh, we're now foot number 60 on the fortune 100, um, worldwide revenues around just under $60 billion. Uh, we represent somewhere in the region of, uh, 1500 vendors and OEMs and uh, in over a hundred countries. And, uh, we serve over a hundred thousand parts, 150,000 partners now worldwide. So you got everything from the, uh, end points, style products, uh, all the way up to, uh, data center cloud, serving from the retail to SMB, to VARs going go all the way to enterprise specialists, NSIs. So DD >>And X, big company, you won't global reach. You hit everybody. Basically you T you sell a lot of products, software, hardware, you name it. Cloud is here. What is the big trend that you guys are seeing with cloud? Because you you're innate. You're, you're talking to all the customers, you have a lot of services and you have products. You represent a lot of different brands. How are people rolling them together? Are they composing cloud what's? What are you seeing in the global landscape? >>Um, we specialize in cloud. They've been doing that for a number of years and actually depending on where partners are within the journey, uh, they will have different levels of specialization. And, um, the way we like to look at it is a matrix, um, in terms of where is the complexity of the product that they're trying to take to market, um, versus what is the size and their own maturity. So we, uh, tune our services and our support for those partners to help them better understand and onboard all of that technology and address it towards their partners. Um, so if you can imagine, um, you got many, many announcements that were made here, right? And our partners have to consume all of that information, all of that technology and learn how to use it. And that's where we come in. We, we, we effectively act as the bridge to help them get up there, running and lower the barrier of entry for them to execute >>On those products and they want to add services to it all. Good. Cloud's perfect for that. So what's the relationship with AWS? I'm sure they're obviously enabling a lot of value. What is the relationship with AWS partner network? How do you guys, what are you guys enabled? What are you guys enabled with Amazon? >>So, um, if I give you the, uh, picture of our cloud practice builder, that's a good place to start. Our cloud practice builder program starts with, um, looking at the partner, understanding what is their maturity in that path specifically related to the technologies that they want to work on with AWS. And, um, we look at them in terms of have they got the sales capability, have they got the operational capability, the financial setup, and, um, really helped them then on that journey. So, um, so yeah, we, um, can go very, very deep, uh, where we have our own cohorts who help those partners get up to speed with, >>Do a little, you gotta do a little vetting, you gotta make sure people have the right capabilities. And certain people have certain orientation to certain things, maybe levels of certification. Yep. Is there a swim lanes developing in the partner network that you guys are working with? Big trends, they specializing more in application modernization. Is it more infrastructure or what are you guys seeing in terms of the trends? >>There are multiple, uh, uh trend-setter. So as you say, we have one lane specifically for our ifs. Um, one lane for our, um, uh, people who host with infrastructure. We are, um, you know, obviously data centers, one of our biggest focus areas. Um, and, um, so each of our partners goes into a specific lane specifically related to where they want to focus on. So if you consider for instance, um, somewhere in the area of, uh, ISV ISBNs, um, the primary thing that many of the ISV is out there don't have is the ability to understand all of the AWS programs. So we help them understand that, understand how they can get the most optimal, uh, cost and program with AWS. And then you get into, you get into the next level, which is around, um, uh, their cloud operations, how they actually transact with us. Uh, and you can, you can build a stack, you get into security and then you get a well architected frameworks. So this is just one of the swim lanes that you could effectively go, and we can help, help build them, build that out for them. >>Yeah. So, so Raza draw a little map for me, a sort of a mental map from the perspective of an end user customer say, I'm a very large organization, I've got a large it footprint. I'm looking towards modernizing in the future. How am I engaging with what TD Synnex is actually delivering to the market? We've been talking about partners. So give us a hypothetical again, I'm the customer who is, who's the sales rep. Who's calling on me initially, how am I interacting with you versus the partner? And I know that there are a variety of ways, but give me, give us an example. I want to make sure that people watching this understand cause we use the term partner to me in a whole variety of different things. >>Yeah. Very, very good question. Cause, uh, he is index is one of the biggest companies that the vast majority of the consumers out there have inherited, right? Yeah. We are for number 600 fortune 100. Now most organization deal with a local. It trusted it partner that trusted it partner, um, then is who they would go to, whether it is their infrastructure, whether there is there, uh, um, security that we work with that partner, um, to help them manage it. Now, what we do is really support the partner to have the knowledge they need to have the expertise. They need to have the services that they need to have the solutions that they need to have to deploy those technologies. Um, with that customer. Now, in majority of the cases, the customer will never come in contact with us because we are behind the scenes supporting our partners. >>However, increasingly we are seeing three motions that we work with. One is with our partners, we do sell to right partner, knows what they want. They've worked with the customer, they've established a need. Um, they come to us and we help them deliver that technology. We do a cell width. So this is the part where you're talking about more of the newer technologies, where the partner may be lacking some of that expertise. So this is where are our experts and give you an idea. We have over 300 certifications just in the last year with AWS, um, where our experts would then help the partner actually land that technology with the customer. And then the ultimate level is a sell for you're talking about longer sales cycles, very complex, where they really need to get deep. So we have our own, um, experience centers, uh, customer immersion, uh, uh, programs where the customer actually comes to us with a partner where we then help them actually get through that process. >>So you're a multi-tiered distribution system. You provide service layer to the frontline partners before the end-users provide support and it software technology and, and executive services for them to serve their customer because they're probably not staffed up. They don't have the resources, they have a good business model and they want to make a lot of money. They >>Do, they do. And, um, they have good gross >>Profit margins. >>I hope so. I hope we, we, we help them actually deliver better profit margins and as they move to services and recurring revenues with cloud that becomes more predictable and sustainable for them as well. >>Well, just, I was kidding, but I'm, I'm serious. I want to get into this gross margin because think one of the things that you're bringing up with this question is if I'm a re a partner and I'm talking to an end-user, I might, I want to make a lot of profits. So services are naturally important. I make more gross profit on services. So if you have volume discounts on things that I might not have that volume discount, if I'm going direct to the manufacturer or a platform you provide that, is that right? Like getting that right, that you guys get, provide that discount pass through. >>We do. Um, we laid up, yes, we get a lot of support through their programs. They announced many programs this week, for instance, and as the partner gains more specializations and they gain access to more support through us, they also gain access to some preferred, um, uh, pricing. So to an extent it's about volume. It's also about how deep they go, how, how, how much they invest in their own expertise. So really is a, uh, not just a volume game, but it's a quality game as well. >>Operational value that you provide because you guys must have a lot of programs that pass through to the partner, uh, software systems. What kind of examples can you give if I'm the partner and I have an end-user and I have a boutique, let's just say I specialize in data analytics and whatever unique thing you're providing me services. Is there like certain software systems that you guys have? What operational support do you give to your customers? >>So in terms of the, um, technology that the consumer consumes, um, there is a whole range of technologies around data management and data analytics. Um, then if you're talking about, in terms of the support, operational support that we give to the partner, again, there's the bigger the partner, the more transactions, the more volume they do, they need to have that operational optimization as well. Again, that's where we come in and give them the tools and the technologies. They need to optimize that. >>It's going to ask you the re-invent now that we're in person again, been a year and two years since we've been to reinvent. What's the, what, what are you, what's your assessment of the show this year? What's the big takeaway, um, that you see this year, uh, that that's gonna be relevant for you? >>I, I love the way these guys, um, land some incredibly new technologies. Uh, and I love the theme of Pathfinders from yesterday. Um, so when I look at the, uh, 5g, I mean, that sounds like a game changer to me. And I think there should be a lot of partners out there thinking, hold on a minute, this is a massive opportunity for us. Um, yeah, I mean, so >>The serverless stuff is getting better and better. I mean, like >>It's, they do a good job on their announcements. There is a reason why their technologies so highly rated, uh, these guys know how to do technology. >>And I think if, if I'm, uh, I think of the services that you could roll on top of this, I mean, if you're in front of a customer big, medium or large, I mean, if I'm a developer, a service provider, I can make so much more profit by building more of these services because that pathfind opens up these net new things, 5g AI as a service, kind of the anything. >>Yeah. Um, I mean partners with they, they have their business models. They, the ones who have figured out how to wrap the services around the solutions that are out there. Um, typically we find that they are the most successful with the fastest growth rates and they kind of get themselves into very, uh, positive virtual cycle. Um, the more they can wrap around those services, the higher their value, the more margin they tend to make, the more profitable they are. And actually then they continue to invest and expand their footprint. So >>Quick advice pretend that I am about to become essentially a local trusted value added reseller partner for my end user customers. And I'm going to become a partner of your company. What would your counsel be to me about what I should focus, focus on? What's hot. What's the hottest tip of the spear right now. Yes, right now I need to go out and hire these people, >>Data, data, data, and analytics data. I would absolutely zoom in on that. Um, it is the new oil and every organization needs to have insights. And if businesses out there do not have those insights, they are at a disadvantage partners who can figure out how to build services around data. They're the guys who are really winning. >>Awesome. Great insight. Thanks for coming on the cube here at re-invent great conversation with gradients. I thanks for coming on. Appreciate it. Pleasure. Okay. Cube covers. You're watching the cube, the leader in worldwide tech coverage here in Raven. I'm Jeffrey with Dave Nicholson, host of the cube. Thanks for watching. We'll be right back.

>>with me or three amazing guest Panelists. One of the things that we can do today with data that we say weren't able to do maybe five years ago. >>Yes, certainly. Um, I think there's lots of things that we can integrate specific actions. But if you were to zoom out and look at the big picture, our ability to reason through data to inform our choices to data with data is bigger than ever before. There are still many companies have to decide to sample data or to throw away older data, or they don't have the right data from from external companies to put their decisions and actions in context. Now we have the technology and the platforms toe, bring all that data together, tear down silos and look 3 60 of a customer or entire action. So I think it's reasoning through data that has increased the capability of organizations dramatically in the last few years. >>So, Milan, when I was a young pup at I D. C. I started the storage program there many, many moons ago, and and so I always pay attention to what's going on storage back in my mind. And as three people forget. Sometimes that was actually the very first cloud product announced by a W s, which really ushered in the cloud era. And that was 2006 and fundamentally changed the way we think about storing data. I wonder if you could explain how s three specifically and an object storage generally, you know, with get put really transform storage from a blocker to an enabler of some of these new workloads that we're seeing. >>Absolutely. I think it has been transformational for many companies in every industry. And the reason for that is because in s three you can consolidate all the different data sets that today are scattered around so many companies, different data centers. And so if you think about it, s three gives the ability to put on structure data, which are video recordings and images. It puts semi structured data, which is your CSP file, which every company has lots of. And it has also support for structure data types like parquet files which drive a lot of the business decisions that every company has to make today. And so if you think about S three, which launched on Pi Day in March of 2000 and six s three started off as an object store, but it has evolved into so much more than that where companies all over the world, in every industry are taking those different data sets. They're putting it in s three. They're growing their data and then they're growing the value that they capture on top of that data. And that is the separation we see that snowflake talks about. And many of the pioneers across different industries talk about which is a separation of the growth of storage and the growth of your computer applications. And what's happening is that when you have a place to put your data like s three, which is secure by default and has the availability in the durability of the operational profile, you know, and can trust, then the innovation of the application developers really take over. And you know, one example of that is where we have a customer and the financial sector, and they started to use us three to put their customer care recordings, and they were just using it for storage because that obviously data set grows very quickly, and then somebody in their fraud department got the idea of doing machine learning on top of those customer care recordings. And when they did that, they found really interesting data that they could then feed into their fraud detection models. And so you get this kind of alchemy of innovation that that happens when you take the data sets of today and yesterday and tomorrow you put them all in one place, which is dust free and the innovation of your application. Developers just takes over and builds not just what you need today, but what you need in the future as well. >>Thank you for that Mark. I want to bring you into this panel. It's it's great to have you here, so so thank you. I mean, Tableau has been a game changer for organizations. I remember my first by tableau conference, passionate, uh, customers and and really bringing cloud like agility and simplicity. Thio visualization just totally change the way people thought about data and met with massive data volumes and simplified access. And now we're seeing new workloads that are developing on top of data and snowflake data in the cloud. Can you talk about how your customers are really telling stories and bringing toe life those stories with data on top of things like, that's three, which my mom was just talking about. >>Yeah, for sure. Building on what Christian male I have already said you are. Our mission tableau has always been to help people see and understand data. And you look at the amazing advances they're happening in storage and data processing and now you, when you that the data that you can see and play with this so amazing, right? Like at this point in time, yeah, it's really nothing short of a new microscope or a new telescope that really lets you understand patterns. They were always there in the world, but you literally couldn't see them because of the limitations of the amount of data that you could bring into the picture because of the amount of processing power in the amount of sharing of data that you could bring into the picture. And now, like you said, these three things are coming together. This amazing ability to see and tell stories with your data, combined with the fact that you've got so much more data at your fingertips, the fact that you can now process that data. Look at that data. Share that data in ways that was never possible. Again, I'll go back to that analogy. It feels like the invention of a new microscope, a new telescope, a new way to look at the world and tell stories and get thio. Insights that were just were never possible before. >>So thank you for that. And Christian, I want to come back to this notion of the data cloud, and, you know, it's a very powerful concept, and of course it's good marketing. But But I wonder if you could add some additional color for the audience. I mean, what more can you tell us about the data cloud, how you're seeing it, it evolving and maybe building on some of the things that Mark was just talking about just in terms of bringing this vision into reality? >>Certainly. Yeah, Data Cloud, for sure, is bigger and more concrete than than just the marketing value of it. The big insight behind our vision for the data cloud is that just a technology capability, just a cloud data platform is not what gets organizations to be able to be, uh, data driven to be ableto make great use of data or be um, highly capable in terms of data ability. Uh, the other element beyond technology is the access and availability off Data toe put their own data in context or enrich, based on the no literal data from other third parties. So the data cloud the way to think about it is is a combination of both technology, which for snowflake is our cloud data platform and all. The work loves the ability to do data warehousing, enquiries and speeds and feeds fit in there and data engineering, etcetera. But it's also how do we make it easier for our customers to have access to the data they need? Or they could benefit to improve the decisions for for their own organizations? Think of the analogy off a set top box. I can give you a great, technically set top box, but if there's no content on the other side, it makes it difficult for you to get value out of it. That's how we should all be thinking about the data cloud. It's technology, but it's also seamless access to data >>in my life. Can >>you give us >>a sense of the scope And what kind of scale are you seeing with snowflake on on AWS? >>Well, Snowflake has always driven as Christian. That was a very high transaction rate, the S three. And in fact, when Chris and I were talking, uh, just yesterday we were talking about some of the things that have really been, um, been remarkable about the long partnership that we've had over the years. And so I'll give you an example of of how that evolution has really worked. So, as you know, as three has eyes, you know, the first a W s services launched, and we have customers who have petabytes hundreds of petabytes and exabytes of storage in history. And so, from the ground up, s three has been built for scale. And so when we have customers like Snowflake that have very high transaction rates for requests for ESRI storage, we put our customer hat on and we asked, we asked customers like like, Snowflake, how do you think about performance? Not just what performance do you need, but how do you think about performance? And you know, when Christians team were walking through the demands of making requests? Two, there s three data. They were talking about some pretty high spikes over time and just a lot of volume. And so when we built improvements into our performance over time, we put that hat on for work. You know, Snowflake was telling us what they needed, and then we built our performance model not around a bucket or an account. We built it around a request rate per prefix, because that's what Snowflake and other customers told us they need it. And so when you think about how we scale our performance, we Skillet based on a prefix and not a popular account, which other cloud providers dio, we do it in this unique way because 90% of our customer roadmap across AWS comes from customer request. And that's what Snowflake and other customers were saying is that Hey, I think about my performance based on a prefix of an object and not some, you know, arbitrary semantic of how I happened to organize my buckets. I think the other thing I would also throw out there for scale is, as you might imagine, s Tree is a very large distributed system. And again, if I go back to how we architected for our performance improvements. We architected in such a way that a customer like snowflake could come in and they could take advantage of horizontally scaling. They can do parallel data retrievals and puts in gets for your data. And when they do that, they can get tens of thousands of requests for second because they're taking advantage of the scale of s tree. And so you know when when when we think about scale, it's not just scale, which is the growth of your storage, which every customer needs. I D. C says that digital data is growing at 40% year over year, and so every customer needs a place to put all of those storage sets that are growing. But the way we also to have worked together for many years is this. How can we think about how snowflake and other customers are driving these patterns of access on top of the data, not just elasticity of the storage, but the access. And then how can we architect, often very uniquely, as I talked about with our request rate in such a way that they can achieve what they need to do? Not just today but in the future, >>I don't know you. Three companies here there don't often take their customer hats off. Mark, I wonder if you could come to you. You know, during the Data Cloud Summit, we've been exploring this notion that innovation in technology is really evolved from point products. You know, the next generation of server or software tool toe platforms that made infrastructure simpler, uh, are called functions. And now it's evolving into leveraging ecosystems. You know, the power of many versus the resource is have one. So my question is, you know, how are you all collaborating and creating innovations that your customers could leverage? >>Yeah, for sure. So certainly, you know, tableau and snowflake, you know, kind of were dropped that natural partners from the beginning, right? Like putting that visualization engine on top of snowflake thio. You know, combine that that processing power on data and the ability to visualize it was obvious as you talk about the larger ecosystem. Now, of course, tableau is part of salesforce. Um and so there's a much more interesting story now to be told across the three companies. 1, 2.5, maybe a zoo. We talk about tableau and salesforce combined together of really having this full circle of salesforce. You know, with this amazing set of business APS that so much value for customers and getting the data that comes out of their salesforce applications, putting it into snowflakes so that you can combine that share, that you process it, combine it with data not just for across salesforce, but from your other APS in the way that you want and then put tableau on top of it. Now you're talking about this amazing platform ecosystem of data, you know, coming from your most valuable business applications in the world with the most, you know, sales opportunity, objects, marketing service, all of that information flowing into this flexible data platform, and then this amazing visualization platform on top of it. And there's really no end of the things that our customers can do with that combination. >>Christian, we're out of time. But I wonder if you could bring us home and I want to end with, you know, let's say, you know, people. Some people here, maybe they don't Maybe they're still struggling with cumbersome nature of let's say they're on Prem data warehouses. You know the kids just unplug them because they rely on them for certain things, like reporting. But But let's say they want to raise the bar on their data and analytics. What would you advise for the next step? For them? >>I think the first part or first step to take is around. Embrace the cloud and they promise and the abilities of cloud technology. There's many studies where relative to peers, companies that embracing data are coming out ahead and outperforming their peers and with traditional technology on print technology. You ended up with a proliferation of silos and copies of data, and a lot of energy went into managing those on PREM systems and making copies and data governance and security and cloud technology. And the type of platform the best snowflake has brought to market enables organizations to focus on the data, the data model, data insights and not necessarily on managing the infrastructure. So I think that with the first recommended recommendation from from our end embraced cloud, get into a modern cloud data platform, make sure you're spending your time on data not managing infrastructure and seeing what the infrastructure lets you dio. >>Okay, this is Dave, Volunteer for the Cube. Thank you for watching. Keep it right there with mortgage rate content coming your way.

>>thank you. You know, haven't been in technology my entire career. Uh, technology and data has really evolved from being the province of a few and an organization to frankly being critical to everyone's business outcomes. Now, every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation. Probably the last 57 years we've all talked about disruptor be disrupted. At the core of that digital transformation is the use of data, data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So Data has involved as being, I would say, almost tactical in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. Mhm. >>No. Yeah, I I agree with Lisa. It has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology. Every business is now a technology business. Every business is a data business. It is the way that they go to market, shaped the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in health care doesn't matter. Right? Data is necessary for every business to survive and thrive. And I remember at the beginning my career It was you know, data was always important, but it waas about storing data. It was about giving people individual reports. It was about supplying that data toe one person or one business unit in silos, and it then evolved right over the course of time into integrating data and to saying, Alright, how does one piece of data correlate to the other? And how can I get insights out of that data now? It's gone to the point of how do I use that data to predict the future? How do I use that data toe automate the future? How do I use that data? Not just for humans to make decisions, but for other machines to make decisions right, which is a big leap, Onda big change and how we use data, how we analyze data and how we use it for insights and evolving our businesses. Yeah. >>Yeah. Well, since I'm on the snowflake board, I'll talk a little bit about the snowflake data cloud. You know, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data into combined with your own data, and we're wrapping a governance structure around it and feeding it out to your employees so that they can get their jobs done. And it's a simple is that, uh I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here. And companies are scrambling to catch up by providing the right amount of data, uh, collaboration tools, workflow tools for their workers to get their jobs done. You know, it used to be as prior, people have mentioned that in order thio work with data. You have to be a data scientist. But, you know, I was an auditor back in the day, and we used to work on 16 columns, spreadsheets. And now, if you're an accounting major coming out of college, joining an auditing firm, you have to be checked and data savvy because you're going to be extracting, manipulating, analyzing and auditing data that massive amounts of data that sit in your client's I T systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection. But it's actually their data. There are 360 degree view of the customer, and so, if you're a merchant or urine strategy or marketing or talent or the co CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with. Data. >>Yeah, absolutely. You know, most enterprises today are, I would say, hybrid multi cloud enterprises. What does that mean? That means that we have data sitting on Prem. We have data sitting in public clouds through software. As a service applications. We have a data everywhere. Most enterprises have data everywhere. Certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that data cloud is addressing is the area around data portability and mobility because I have data sitting in various locations through my enterprise. How doe I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes and a blue shield of California. One of our key initiatives is what we call an experience cube. What does that mean? It means how doe I drive transparency of data between providers, members and payers so that not only do I reduce overhead on providers and provide them a better experience our hospital systems or doctors, But ultimately, how do we have the member have at their power of their fingertips the value of their data holistically so that we're making better decisions about their health care? You know, one of the things Teresa was talking about was the use of this data, and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists. Yes, we need those data scientists to help us build a I models to really drive and tackle these tough hold, tougher challenges, business problems that we may have in our environments. But everybody in the company, both on the I T side both on the business side really need to understand. Of how do we become a data insights driven enterprise? Put the power of the data into everyone's hands so that we can accelerate capabilities right and leverage that data toe ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership, is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California took, >>oh, great question. And I am so passionate about this for ah, lot of reasons, not the least of which is I have two daughters of my own. Andi, I know how important it is for women and young girls. Toe actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early start in early education, building confidence of young girls that they can do this showing them role models. You know, we have Deloitte just partnered with L. A B engineer toe actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes and text solve everyday problems on DSO, really helping to get people's minds around Tech is not just in the back office coating on a computer. Tech is about solving problems together. That helped us a citizens as customers, right and as humanity s. So I think that's important. I also think we have to expand that definition of tech. As we just said. It's not just about right database design. It's not just about, you know, Java and python coding. It's about design. It's about the human machine interfaces. It's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say, Look, we have a absolute imperative to get a diverse population of people, not just women but minorities. You know, those with other types of backgrounds, disabilities, etcetera involved because this data is being used to drive decision making, and if we're all involved right and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just because we haven't involved a diverse enough group of people around it. Absolutely. Lisa. Curious about your thoughts on this? >>I agree with everything that she has said. I've been passionate about this area. I think it starts with First. We need more role models way. Need more role models as women, uh, in these leadership roles throughout various sectors, and it really is. It starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility. I think all of us as female executives that if you have exceeded the table toe leverage that seat at the table to drive change, to bring more women forward, more diversity forward into the board room and into our executive suites. I also want to touch on a point that she had made about women were the largest consumer group in the company. Um, yet we're consumers, but we're not builders. This is why it's so important that we start changing that perception of what tech is, and I agree that it starts with their young girls. We know the data shows that we lose our young girls by middle school. Very heavy peer pressure. It's not so cool to be smart to do robotics or be good in math and science. We start losing our girls in middle school, so they're not prepared when they go to high school. And they're not taking those classes in order to major in these stem fields in college. So we have to start the pipeline early, Um, with our girls. And then I also think it's a measure of what your boards air doing. What is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of effort. One of the things that certainly is concerning to me is during this pandemic. I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. What? Yeah, >>um, I'd encourage you to view to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them in those roles. Opening your network, giving very candid feedback. And we need men to participate to. There are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >>Let's say Look around your teams, see who's on them and make deliberate decisions about diversifying those teams as positions. Open up. Make sure that you have a diverse set of candidates. Make sure that there are women that are part of that team on DNA. Make sure that you are actually hiring and putting people into positions based on potential, not just experience. >>Wow, it's hard Thio with Nishida and with Tricia shared, I think we're very powerful actions. I think it starts with us, uh, taken action at our own table, making sure you're driving diverse panels and hiring um, setting goals for the company. Having your board engaged in holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >>Yeah, but

>> Hi and welcome to Data Cloud catalyst Women in Tech Round Table Panel discussion. I am so excited to have three fantastic female executives with me today, who have been driving transformations through data throughout their entire career. With me today is Lisa Davis, SVP and CIO OF Blue shield of California. We also have Nishita Henry who is the Chief Innovation Officer at Deloitte and Teresa Briggs who is on a variety of board of directors including our very own Snowflake. Welcome ladies. >> Thank you. >> So I am just going to dive right in, you all have really amazing careers and resumes behind you, am really curious throughout your career, how have you seen the use of data evolve throughout your career and Lisa am going to start with you. >> Thank you, having been in technology my entire career, technology and data has really evolved from being the province of a few in an organization to frankly being critical to everyone's business outcomes. Now every business leader really needs to embrace data analytics and technology. We've been talking about digital transformation, probably the last five, seven years, we've all talked about, disrupt or be disrupted, At the core of that digital transformation is the use of data. Data and analytics that we derive insights from and actually improve our decision making by driving a differentiated experience and capability into market. So data has involved as being I would say almost tactical, in some sense over my technology career to really being a strategic asset of what we leverage personally in our own careers, but also what we must leverage as companies to drive a differentiated capability to experience and remain relative in the market today. >> Nishita curious your take on, how you have seen data evolve? >> Yeah, I agree with Lisa, it has definitely become a the lifeblood of every business, right? It used to be that there were a few companies in the business of technology, every business is now a technology business. Every business is a data business, it is the way that they go to market, shape the market and serve their clients. Whether you're in construction, whether you're in retail, whether you're in healthcare doesn't matter, right? Data is necessary for every business to survive and thrive. And I remember at the beginning of my career, data was always important, but it was about storing data, it was about giving people individual reports, it was about supplying that data to one person or one business unit in silos. And it then evolved right over the course of time into integrating data into saying, alright, how does one piece of data correlate to the other and how can I get insights out of that data? Now, its gone to the point of how do I use that data to predict the future? How do I use that data to automate the future? How do I use that data not just for humans to make decisions, but for other machines to make decisions, right? Which is a big leap and a big change in how we use data, how we analyze data and how we use it for insights and involving our businesses. >> Yeah its really changed so tremendously just in the past five years, its amazing. So Teresa we've talked a lot about the Data Cloud, where do you think we are heading with that and also how can future leaders really guide their careers in data especially in those jobs where we don't traditionally think of them in the data science space? Teresa your thoughts on that. >> Yeah, well since I'm on the Snowflake Board, I'll talk a little bit about the Snowflake Data Cloud, we're getting your company's data out of the silos that exist all over your organization. We're bringing third party data in to combine with your own data and we're wrapping a governance structure around it and feeding it out to your employees so they can get their jobs done, as simple as that. I think we've all seen the pandemic accelerate the digitization of our work. And if you ever doubted that the future of work is here, it is here and companies are scrambling to catch up by providing the right amount of data, collaboration tools, workflow tools for their workers to get their jobs done. Now, it used to be as prior people have mentioned that in order to work with data you had to be a data scientist, but I was an auditor back in the day we used to work on 16 column spreadsheets. And now if you're an accounting major coming out of college joining an auditing firm, you have to be tech and data savvy because you're going to be extracting, manipulating, analyzing and auditing data, that massive amounts of data that sit in your clients IT systems. I'm on the board of Warby Parker, and you might think that their most valuable asset is their amazing frame collection, but it's actually their data, their 360 degree view of the customer. And so if you're a merchant, or you're in strategy, or marketing or talent or the Co-CEO, you're using data every day in your work. And so I think it's going to become a ubiquitous skill that any anyone who's a knowledge worker has to be able to work with data. >> Yeah I think its just going to be organic to every role going forward in the industry. So, Lisa curious about your thoughts about Data Cloud, the future of it and how people can really leverage it in their jobs for future leaders. >> Yeah, absolutely most enterprises today are, I would say, hybrid multicloud enterprises. What does that mean? That means that we have data sitting on-prem, we have data sitting in public clouds through software as a service applications. We have a data everywhere. Most enterprises have data everywhere, certainly those that have owned infrastructure or weren't born on the web. One of the areas that I love that Data Cloud is addressing is area around data portability and mobility. Because I have data sitting in various locations through my enterprise, how do I aggregate that data to really drive meaningful insights out of that data to drive better business outcomes? And at Blue Shield of California, one of our key initiatives is what we call an Experienced Cube. What does that mean? That means how do I drive transparency of data between providers, members and payers? So that not only do I reduce overhead on providers and provide them a better experience, our hospital systems are doctors, but ultimately, how do we have the member have it their power of their fingertips the value of their data holistically, so that we're making better decisions about their health care. One of the things Teresa was talking about, was the use of this data and I would drive to data democratization. We got to put the power of data into the hands of everyone, not just data scientists, yes we need those data scientists to help us build AI models to really drive and tackle these tough old, tougher challenges and business problems that we may have in our environments. But everybody in the company both on the IT side, both on the business side, really need to understand of how do we become a data insights driven enterprise, put the power of the data into everyone's hands so that we can accelerate capabilities, right? And leverage that data to ultimately drive better business results. So as a leader, as a technology leader, part of our responsibility, our leadership is to help our companies do that. And that's really one of the exciting things that I'm doing in my role now at Blue Shield of California. >> Yeah its really, really exciting time. I want to shift gears a little bit and focus on women in Tech. So I think in the past five to ten years there has been a lot of headway in this space but the truth is women are still under represented in the tech space. So what can we do to attract more women into technology quite honestly. So Nishita curious what your thoughts are on that? >> Great question and I am so passionate about this for a lot of reasons, not the least of which is I have two daughters of my own and I know how important it is for women and young girls to actually start early in their love for technology and data and all things digital, right? So I think it's one very important to start early started early education, building confidence of young girls that they can do this, showing them role models. We at Deloitte just partnered with LV Engineer to actually make comic books centered around young girls and boys in the early elementary age to talk about how heroes in tech solve everyday problems. And so really helping to get people's minds around tech is not just in the back office coding on a computer, tech is about solving problems together that help us as citizens, as customers, right? And as humanity, so I think that's important. I also think we have to expand that definition of tech, as we just said it's not just about right, database design, It's not just about Java and Python coding, it's about design, it's about the human machine interfaces, it's about how do you use it to solve real problems and getting people to think in that kind of mindset makes it more attractive and exciting. And lastly, I'd say look we have a absolute imperative to get a diverse population of people, not just women, but minorities, those with other types of backgrounds, disabilities, et cetera involved because this data is being used to drive decision making in all involved, right, and how that data makes decisions, it can lead to unnatural biases that no one intended but can happen just 'cause we haven't involved a diverse enough group of people around it. >> Absolutely, lisa curious about your thoughts on this. >> I agree with everything Nishita said, I've been passionate about this area, I think it starts with first we need more role models, we need more role models as women in these leadership roles throughout various sectors. And it really is it starts with us and helping to pull other women forward. So I think certainly it's part of my responsibility, I think all of us as female executives that if you have a seat at the table to leverage that seat at the table to drive change, to bring more women forward more diversity forward into the boardroom and into our executive suites. I also want to touch on a point Nishita made about women we're the largest consumer group in the company yet we're consumers but we're not builders. This is why it's so important that we start changing that perception of what tech is and I agree that it starts with our young girls, we know the data shows that we lose our like young girls by middle school, very heavy peer pressure, it's not so cool to be smart, or do robotics, or be good at math and science, we start losing our girls in middle school. So they're not prepared when they go to high school, and they're not taking those classes in order to major in these STEM fields in college. So we have to start the pipeline early with our girls. And then I also think it's a measure of what your boards are doing, what is the executive leadership in your goals around diversity and inclusion? How do we invite more diverse population to the decision making table? So it's really a combination of efforts. One of the things that certainly is concerning to me is during this pandemic, I think we're losing one in four women in the workforce now because of all the demands that our families are having to navigate through this pandemic. The last statistic I saw in the last four months is we've lost 850,000 women in the workforce. This pipeline is critical to making that change in these leadership positions. >> Yeah its really a critical time and now we are coming to the end of this conversation I want to ask you Teresa what would be a call to action to everyone listening both men and women since its to be solved by everyone to address the gender gap in the industry? >> I'd encourage each of you to become an active sponsor. Research shows that women and minorities are less likely to be sponsored than white men. Sponsorship is a much more active form than mentorship. Sponsorship involves helping someone identify career opportunities and actively advocating for them and those roles opening your network, giving very candid feedback. And we need men to participate too, there are not enough women in tech to pull forward and sponsor the high potential women that are in our pipelines. And so we need you to be part of the solution. >> Nishita real quickly what would be your call to action to everyone? >> I'd say look around your teams, see who's on them and make deliberate decisions about diversifying those teams, as positions open up, make sure that you have a diverse set of candidates, make sure that there are women that are part to that team and make sure that you are actually hiring and putting people into positions based on potential not just experience. >> And real quickly Lisa, we'll close it out with you what would your call to action be? >> Wow, it's hard to what Nishita and what Tricia shared I think we're very powerful actions. I think it starts with us. Taking action at our own table, making sure you're driving diverse panels and hiring setting goals for the company, having your board engaged and holding us accountable and driving to those goals will help us all see a better outcome with more women at the executive table and diverse populations. >> Great advice and great action for all of us to take. Thank you all so much for spending time with me today and talking about this really important issue, I really appreciate it. Stay with us.

>>from around the globe. It's the Cube covering HP. Discover Virtual experience Brought to you by HP. >>Welcome to the Cube's coverage of HP Discover 2020 Virtual Experience. I'm Lisa Martin, and I'm pleased to be joined by two guests from HP longtime partner Tech Data. We have calling Blair the vice president of sales and marketing of I. O. T. And Data Solutions and David Smith, H P E Pre Sales Field Solutions are common. And David, Welcome to the Cube. Thanks, Lisa. Great to see. So let's start with the calling. HP and Technical have been partners for over 40 years, but tell our audience a little bit about tech data before we get into the specifics of what you're doing and some of the cool I o. T. Stuff with HP. I >>think that the Tech data is a Fortune 100 distributor. We continued to evolved to be a solutions aggregator in these next generation technology businesses. As you've mentioned, we've been serving the I T distribution markets globally for for 40 plus years, and we're now moving into next generation technologies like Wild Analytics, I O. T and Security bubble Lifecycle Management services. But to be able todo position ourselves with our customer base and the needs of their clients have. So I'm excited to be here today to talk a little bit about what we're doing in I, O. T. And Analytics with David on the HPC side >>and in addition to the 40 plus years of partnership calling that you mentioned that Detected and HP have you've got over 200 plus hp. Resource is David, you're one of those guys in the field. Talk to us about some of the things that you're working on with Channel Partners Table David to enable them, especially during such crazy times of living and now >>absolutely, absolutely so. What we can do is we can provide strong sales and technical enablement if your team, for example, wants to better understand how to position HP portfolio if they require assistance and architect ing a secure performance i o t. Solution. We can help ensure that you're technical team is fully capable of having that conversation, and it's one that they're able to have of confidence, weaken validate the proposed HP solutions with the customers, technical requirements and proposed use case. We can even exist on a customer calls, if it would, would benefit our partner to kind of extend out to that. We also have a a a deep technical bench that Colin can speak to in the OT space toe lean on as well. For so solution is that kind of span into the space beyond where HP typically operates, which would be edge, compute computing and network. Sic security. >>Excellent call and tell me a little bit about Tech Data's investments in I o. T. When did this start? What are you guys doing today? >>Sure, we started in the cloud space. First tackle this opportunity in data center modernization and hybrid cloud. That was about seven years ago. Shortly thereafter we started investing very materially in the security cyber security space. And then we follow that with Data Analytics and then the Internet of things. Now we've been in those spaces with our long term partners for some time. But now that we're seeing this movement to the intelligent edge and a real focus on business outcomes and specialization, we've kind of tracked with the market, and we feel like we've invested a little bit ahead of where the channel is in terms of supporting our ecosystem of partners in this space. >>So the intelligent edge has been growing for quite some time. Poland in the very unique times that we're living in in 2020 how are you seeing that intelligent edge expand even more? And what are some of the pressing opportunities that tech data and HPC i O T solutions together can address? >>So a couple. So the first is a Xai mentioned earlier just data center modernization. And so, in the middle of code 19 and perhaps postcode 19 we're going to see a lot of clients that are really focused on monetizing the things that they've got. But doing so to drive business outcomes. We believe that increasingly, the predominance of use cases and compute and analytics is going to move to the edge. And HP has got a great portfolio for not just on premise high performance computing but also hybrid cloud computing. And then when we get into the edge with edge line and networking with Aruba and devices that need to be a digitized and sense arised, it's a really great partnership. And then what we're able to do also, Lisa, is we've been investing in vertical markets since 2000 and seven, and I've been a long the ride with that team, most all of that way. So we've got deep specialization and healthcare and industrial manufacturing, retail and then public sector. And then the last thing we've kind of turned on here recently just last month is a strategic partnership in the smarter cities space. So we're able to leverage a lot of those vertical market capabilities. Couple that with our HP organization and really drive specialized repeatable solutions in these vertical markets, where we believe increasingly, customers are going to be more interested in a repeatable solutions that can drive quick proof of value proof of concepts with minimal viable what kinds of products. And that's that's kind of the apartment today with RHB Organization and the HP Corporation >>David. Let's double click into some of those of vertical markets that Colin mentioned some of the things that pop into minor healthcare manufacturing. As we know, supply chains have been very challenged during covered. Give us an insight into what you're hearing from channel partners now virtually, but what are some of the things that are pressing importance? >>So from a pressing and important to Collins exact point, and your exact point as well is really it's all about the edge computing space now from a product perspective Azaz Colin had mentioned earlier. HP has their edge line converged systems, which is kind of taking the functionality of OT and edge T Excuse me of OT and I t and combine it into a single edge processing compute solution. You kind of couple that with the ability to configure components such as Tesla GP, use in specific excellent offerings to offer an aid and things like realtime, video processing and analytics. Uh, and a perfect example of this is, ah so for dissing and covert space. If if I need to be able to analyze a group of people to ensure they're staying as far apart as possible or, you know within self distant guidelines, that is where kind of the real time that's like an aspect of things can be taken advantage of same things with with the leveraging cameras where you could actually take temperature detection as as well, so it's really kind of best to think of Edge Lines Solutions is data center computing at the edge kind of transition into the Aruba space. Uh Rubio says offerings aid in the island Security is such a clear pass device inside, which allows for device discovery of network and monitoring of wired and wireless devices. There's also Aruba asset tracking and real time location of solutions, and that's particularly important in the healthcare space as well. If I have a lot of high value assets, things like wheelchairs, things like ventilation devices, where these things low located within my facilities and how can I keep keep track of them? They also, and by that I mean HP. They also kind of leveraging expanse ecosystem of partners. As an example, they leverage thing works allow their i o t solutions as well, when you kind of tying it all together with HP Point. Next to the end, customers provided with comprehensive loyalty solution. >>So, Colin, how ready? Our channel partners and the end user customers to rapidly pivot and start either deploying more technologies at the edge to be able to deliver some of the capabilities that David talked about in terms of analytics and sensors for social distancing. How ready are the channel partners and customers to be able to understand, adopt and execute this technology. >>So I think on the understanding side, I think the partners are there. We've been talking about digital transformation in the channel for a couple of years now, and I think what's happened through the 19 Pandemic is that it's been a real spotlight on the need for those business outcomes to to solve for very specific problems. And that's one of the values that we serve in the channel. So we've got a solution offering that we call our solution factory. And what we do really says is we leverage a process to look outside the industry. At Gartner, Magic Quadrant Solutions forced a Wave G two crowd. You know, top leaders, visionaries and understand What are those solutions that are in demand in these vertical markets that we talked about? And then we do a lot of work with David and his team internally in the HP organization to be able to do that and then build out that reference architectures so that we know that there's a solution that drives a bill of materials and a reference architecture that's going to work that clients are going to need and then we can do it quickly. You know, Tech data. Everything's about being bold, acting now getting scale. And we've got a large ecosystem partners that already have great relationships. So we pride ourselves on being able to identify what are those solutions that we can take to our partners that they can quickly take to their end users where you know we've We've kind of developed out what we think the 70 or 80% of that solution is going to look like. And then we drive point next and other services capabilities to be able to complete that last mile, if you will, of some of the customization. So we're helping them. For those who aren't ready, we're helping them. For those who already have very specific use cases and a practice that they drive with repeatable solutions were coming alongside them and understanding. What can we do? Using a practice builder approach, which is our consultative approach to understand where our partners are going in the market, who their clients are, what skill sets do they have? What supplier affinities do they want to drive? What brand marketing or demand generation support do they need? And that's where we can take some of these solutions, bring them to bear and engage in that consultative engagement to accelerate being ready as, as you rightly say, >>so tech. It has a lot of partners. You in general. You also have a lot of partners in the i o T space calling What? How do you from a marketing hat perspective? How do you describe the differentiation that Tech data and HP ease Iot solutions delivered to the channel to the end user? >>A couple of different things? I think that's that's differentiation. And that's one of the things that we strive for in the channel is to be specialized and to be competitively differentiated. And so the first part, I say to all of my team, Lisa, is you know, whether it's our solution consultants or our technical consultants, our solutions to the developers or the software development team that works my organization. Our goal is to be specialized in such a way that we're having relevant value added conversations not only our channel partners, but also end users of our partners want to bring us into those conversations, and many do. The next is really education and enablement as you would expect. And so there's a lot of things that are specialized in our technical. We drive education certification programs, roadshows, seminars, one of the things that we're seeing a lot of interest now. Lisa is for a digital marketing, and we're driving. Some really need offerings around digital marketing platforms that not only educate our partners but also allow our partners to bring their end users and tour some of this some of these technologies. So whether it's at our Clearwater office, where we've got an I. O T. Solution center, that we we take our partners and their clients through or we're using our facilities Teoh to do executive briefings and ideation as a service that, you know, kind of understanding the art of the possible. With both our resellers and their clients work, we're using our solution. Our solution catalogs that we've built an interactive pdf that allows our partners to understand over 50 solutions that we've got and then be able to identify. Where would they like to bring in David and his team and then my consultants to do that, that deep planning on business development, uh, that we talked about a little bit earlier. >>So the engagement right now is maybe even more important than it has been in a while because it's all hands off and virtual David. Talk to me about some of the engagement and the enablement piece that call and talked about. How are you able to really keep a channel partner and their end user customers engaged and interested in what you're able to deliver through this from New Virtual World? >>That's a great, great question. And we work in conjunction with our marketing teams to make sure that as new technologies and quite in I O. T space as well as within the HP East base as well that that our channel partners are educated and aware that these solutions exist. I know for a fact that for the majority of them you kind of get this consistent bombardment of new technology. But being able to actually have someone go out and explain it and then being able to correspondingly position it's use case and it's functionality and why it would provide value for your end customer is one of the benefits of tech data ads to kind of build upon that previous statement. The fact that We have such a huge portfolio of partners, so you kind of have HP and the edge compute space. But we have so many different partners in the OT space where it's really just a phone call, an email, a Skype message, a way to have that conversation around interoperability and then provide those responses back to our partners. >>Excellent. One more question before we go. Colin for you, A lot of partners. Why HP fry Mt. >>So a couple of reasons? One of the one of the biggest reasons as HP is just a great partner. And so when you look at evaluating I. O. T solutions that tend to be pretty comprehensive in many cases, Lisa it takes 10 or 12 partners to complete a really i o t solution and address that use case that that's in the field. And so when you have a partner like HP who's investing in these programs, investing in demand generation, investing in the spectrum of technology, whether it's hybrid Cloud Data Center, compute storage or your edge devices and Iot gateways, then to be able to contextualize those into what we call market ready solutions in each one of these vertical markets where there's references and there's use cases. And there were coupling education that specific rest of solutions. You know HP can do all of those things, and that's very important. Because in this new world, no one can go it alone anymore. It takes it takes partnerships, and we're all better together. And HP really does embrace that philosophy. And they've been a great partner for us in the Iot space. >>Excellent. Well, Colin and David, thank you so much for joining me today on the Cube Tech data. H p e i o t better together. Thank you so much. It's been a pleasure talking with you. >>Thank you. >>Thank you. Lisa. >>And four Collet and David. I am Lisa Martin. You're watching the Cube's virtual coverage of HP Discover 2020. Thanks for watching. Yeah, yeah, yeah, yeah.

(corporate electronic xylophone jingle intro) >> Good afternoon everyone. Welcome back to theCUBE's live coverage of AWS re:Invent 22 from Vegas. We're at the Venetian Expo Hall with we're hearing, north of 50,000 people. I know we've been giving you different numbers but, that's kind of what we've settled on here. Hundreds of thousands are watching online. This is a huge event. People, John Furrier, Lisa Martin are ready to be back. >> Yes, it's really great show. A lot of change going on at Amazon. They're continuing the innovation, continuing to grow. The theme this year's data security and their partner ecosystem, which is continuing to grow. Their partners are filling the gaps on solutions and, it's just a whole another, I think, partner friendly cloud. This next gen wave that's coming, it's really next segment I think speaks to, I'm looking forward to this. >> It does. We're going to be digging into that partner network. We've got two guests. One of them's an alumni, Reza Honarmand SVP Global Cloud at TD SYNNEX. Great to have you back. >> Hello. >> Sergio Farache joins us as well, the Chief Strategy Officer at TD SYNNEX. Welcome to the program. >> Thank you. Thank you for having us. >> Great to be back in person, isn't it? >> Yeah, absolutely. It's a great experience. >> Amazing. The energy here has been hot at the highest levels since we came here Monday, Monday night, which is great. Sergio, I want to start with you. Last year when you guys were on the show, Tech Data. Tech Data has been around a long time. Now your TD SYNNEX. Talk a little bit about that. What's new, that transformation? >> Yeah, that is correct. It's great to be able now to present TD Synnex as a new merger between Tech Data and Synnex Corporation. Now, we are the largest distributor basically, across the world, with more than 62 billion dollar in a business. And, Amazon is obviously a strategic partner with a hyper growth and, we has been very focused to working with them to expand that partner ecosystem across solution ISVs and service providers. There has been very nice experience combine these two company and now have the reach and a scale that enable more than 140,000 partners across the world. >> Wow. >> And, the partner's message here is changing too. The new leader, Aruba is up on stage talking about this new partner paths. A lot of changes in a good way. They're bringing people together. What's your guys take and reaction to AWS's new posture towards partners? Obviously, the ecosystem we see going to be doubling and tripling we see in size and, also the value proposition is going to be stronger too and, more money making of course. But, the new Amazon's posture with partners. What's your reaction? >> We were at Aruba just an hour ago. Fantastic. If I look at the change from when we first got here a few years ago to now, it is beyond comparison. The realization is that technology and, especially what we work with Amazon is deflationary force and, we need scale to actually drive that across all of our partners to the customers. And, I can only see that accelerating now in terms of what Amazon is doing and actually with the channel and what Aruba is doing. I think this is exactly the right direction. >> John: What's your message? >> My message is, this is now channel. This is channel and this is serious. So, partners with Amazon equals growth. >> As we've seen so much transformation in the last couple of years, Sergio, with every business having to become digital to survive, right. And then, to eventually thrive and succeed and grow and the challenging economic times that we've had. What are some of the pivots that TD Synnex has made through your partner program to meet customer needs to accelerate their transformation? >> Yeah, as you said, has been a significant transformation. I think that in the past was clear what was a technology company and what an industrial company etcetera and, those frontiers are blending right now. Then, as a consequence we has been investing in several elements. One is to really increase the capability of the partner network in a way that they can on one side provide more solution-oriented activities to those customers to drive either growth or cost optimization. The other element has been verticalization meaning, know the industry where you are playing. We have been investing in the healthcare market, of course, as a consequence of all the demand that has been generating. But, at the same time and, we recently announced the competency in the government sector where we expand drastically our capabilities around specifically the federal and non federal business. But, not only in US but, across the world with those elements. Then, I would say that it's a combination of enhancing the skill, enhancing the knowledge on the industry, and finally provide the tools through our platform to enable the partner to operate in a digital way and enable the access of ISVs to the Iotly and serving the customers end to end. >> Is that the ISV experience project that I heard about, ISV experience with SaaS companies? Is that what you're referring to? >> Yeah, ISVs is one, ISV experience is one of the components that we use but, basically what we are trying to achieve with the ISV is helping in the journey of certification. Is how you transform either a partner that is born in the cloud or a partner that is still in the on-premise side. How you transition to the cloud and enabling how you reach to the end user in a more effective way and, how we expose 140,000 partner across the multiple geographies to help those ISVs to reach more customers. >> It's great distribute, it's great distribution. It's a business model innovation. >> Sorry? >> It's a business model innovation for these ISVs. >> Absolutely. Some of the ISVs, as you can imagine, they're incumbent with us. We work with them. So, actually it's finding new ways of consuming technology but, there's thousands of them that actually do not understand how to operate with a channel. And, this is a part where we help them with the channel, build a program, coach them through the process, help them access their partners and the customers that Sergio was referring to. >> Let me ask you guys a question. Where's the growth going to come from? You mentioned ecosystem, more growth, Aruba mentioned that's where the growth is. They are serious. So, you going to deliver that keynote now. Where do you guys see your growth coming from? >> Well, to be honest, the growth is unlimited in our opinion, right? It's so many areas. >> John: The wave is still coming. Yeah, the wave is still there. When you see still the amount of platform that need to be migrated to the cloud then, we have been investing in a significant way in enable capabilities of migration programs from the on-premise to the off-premise. At the same time, we have been expanding geographically because, it's still several segments and markets we operate globally. As an example, we recently launched our public sector capability in Latin America and Europe, expanding those segments. And, in addition to that, again, how we bring more ISVs more solution oriented driven. There's many spots of growth. And, I think that Amazon message recently recognized more and more the value of, nobody have all the solutions. You need this ecosystem playing together to bring those solutions to market. >> So if I build on that. If we look at the growth in the public cloud last year, was around 40 billion dollars. We expect a similar growth level this year as well. I mentioned about deflationary force, the technology being a deflationary force. Now, everybody knows a lot of businesses out there are going under a lot of challenges. So, they have to compete, they have to have the insights, they have to be efficient, and actually, they're going to get a lot of that through the technologies that we're talking about here. The key to that is partners with the right skill sets. What we are seeing is the partners with the skill sets who can participate in that 40 billion dollar growth, take a big, big share of it. >> And you guys are providing a great service. I think, when I wrote the story on Friday that I published. One of my premise was is that, this next-gen cloud is going to lift up more ISVs which is kind of a legacy classic, independent software vendor, create new kinds of partners that have platforms or unique solutions for verticals. So, the ISV classic definition will still exist and, new customers are emerging. It's got a new dynamic developing. We're seeing people build clouds on top of the cloud, tap the ecosystem, partner distribution services. It's a whole new way to build and take something to market. What do you guys think about that? >> Yeah, I think that the beauty of our position in the market is that we are in the center of that ecosystem. Again, we have access to thousands of ISVs, thousands of hardware vendors, the hyperscalers. Then somebody need to put all those pieces together. That is our role in the market. >> John: It's a good position to be in. >> It's a good place to be. And, enabling those partners now to collaborate with all those entities to bring the solution because, the customer is not acquiring technology anymore. They're acquiring a solution to a problem now. And, that solution require multiple components. >> Last year, no, this year, I'm sorry, you guys were announced as EMEA Distributor of the Year. Congratulations on that. >> Yeah, thank you. >> Talk about that in terms of just the evolution of the partnership. >> The partnership in EMEA is now across our entire geo. The growth that we've driven across the EMEA market space is I think, the reason why we have won it, as well as the competencies that we have built. Now, you were just talking about ISVs to give you an example. There are many ISVs that sit in EMEA that want to access the US market and vice versa. So, where we sit in the middle and enable that access, the frameworks that they need to move. So, those are the kind of things that contribute to the strength in the relationship what those awards are coming from. >> Yeah, the other critical factor here is again, how we bring more capability in terms of the serve to the market to Amazon. And, that has been another component of data where that we are very thankful. Again, we has been enabling and bringing numerous new partners and numerous new end customers that now have access, support, and services including, again, the competencies that we already described but, including service oriented businesses like migration, like cost optimization of the use, et cetera, that now we through partner serve to the market. >> Reza, Sergio. I want to ask you guys a question around trust. Trust. You're a trust broker because you have a lot of services and people and companies to put together. We were just talking about the good position you're in. Trust is a big part of your relationship with your customers. You've got two sides of your business. You got one side is the supply side and you got the distribution side, and then both sides are working together. Requires a lot of trust. What's that look like inside your company? Could you just take a minute to explain, take a bit to explain what's that like, the culture of the company and that trust. >> Yeah, absolutely. And, that is why the term of Trust Advisor came to the table, right? And, and again, for more than 40 years we has been building this ecosystem. We has been driving that motion and, we have been proving to the market a consistent approach with a strong support to the two tier model. We never get in opposition to our customers and, we enable those customers in a consistent way. Then, I think that trust is something that you earn not something that you ask for. And, that is what we are doing day basis. >> Well, congratulations. It's been great chatting with you. Challenge time for the challenge >> Lisa: Challenge Time, all right guys. >> A new challenge on theCUBE, new format. We usually say... >> Yes at the end of the interview. What's the take on the show? What's the bumper sticker? So, think of it like an Instagram Reel. Thought leadership, hot take. Each of you, spend a minute, 30 seconds to share a hot take, thought leadership, what you think was going on at Amazon, why you're here, what's important. What would you say if you were going to do an Instagram Reel right now? >> Yeah, the Amazon enable a new way to do business and a new transformation of the Iotly economy. We are here in TD Synnex to expand that capability across the segments enhancing partners to reach to their goals and, in users to get those transformations. In general, we will provide what is needed and, we continue investing to continue growing the capacity across all geographies and all the type of solutions that we deliver. >> All right, Sergio, you nailed it. Reza, you're up, your hot take, your sizzle reel. >> Well, frankly, I think, Sergio nailed it. It's about covering the geos and taking the competencies and, make sure we execute consistently across all of our geos. >> All right, nailed it. Thanks so much. >> Consistent execution. Reza, Sergio, thank you so much... >> Thank you so much. for joining John and me on the program, talking about what TD SYNNEX has done since we've last seen you. What you're doing with AWS and the partner ecosystem. We really appreciate you stopping by the set >> Thank you. >> Thank you for the time. >> All right, our pleasure. For our guests and for John Furrier, I'm Lisa Martin. You're watching theCUBE, the leader at live tech coverage. (corporate electronic xylophone jingle outro)

(upbeat music) >> Good afternoon everyone. Welcome back to The Cube's live coverage of AWS Reinvent 22 from Vegas. We're at the Venetian Expo Hall, we're hearing north of 50 000 people. I know we've been giving you different numbers but that's kind of what we've settled on here. Hundreds of thousands are watching online. This is a huge event people. John Ferrior and Lisa Martin are ready to be back. >> Yes, it's really great show. A lot of change going on at Amazon. They're continuing the innovation, continuing to grow. The theme this year's Data Security. And their partner ecosystem, which is continuing to grow. Their partners are filling the gaps on solutions. And it's just a whole nother, I think partner friendly cloud. This NextGen wave that's coming is really, the next thing segment I think speaks to that, I'm looking forward to this. >> It does. We're going to be digging into that partner network. We've got two guests, one of them is an alumni, Reza Honarmand SVP Global Cloud at TD Synnex. Great to have you back. >> Yeah. >> Sergio Farache joins us as well the Chief Strategy Officer at TD Synnex. Welcome to the program. >> Thank you. >> Thank you for having us. >> Great to be back in person, isn't it? >> Yeah absolutely. That's great experience. >> Amazing, the energy here at the highest level since we came here Monday night, which is great. Sergio, I want to start with you. Last year when you guys were on the show Tech Data. Tech Data has been around a long time now you're TD Synnex. Talk a little bit about that, what's new, that transformation? >> Yeah, that is correct. It's great to be able now to present it in Synnex as a new merger between Tech Data and Synnex Corporation. And now we are the largest distributor basically across the world with more than $62 billion in a business. And Amazon is obviously an strategic partner with a hyper growth and we have been very focused to working with them to expand that partner ecosystem across solution ISVs and service providers. That has been very nice experience combine these two company and now have the reach and skill that enable more than 140,000 partners across the world. >> Wow. >> And the partner's message here is changing too. The new leader, Ruba is up on stage talking about this new partner paths, a lot of changes in a good way. They're bringing people together. What's your guys take and reaction to AWS's new posture towards partners? Obviously the ecosystem we see going to be doubling and tripling we see in size. And also the value proposition being stronger too and more money making of course. But the new Amazon's posture with partners. What's your reaction? >> Well, (indistinct) just an hour ago. Fantastic. I mean, if I look at the change from when we first got here a few years ago to now, it is beyond comparison. The realization is that technology and especially what we work with Amazon is deflationary force and we need scale to actually drive that across all of our partners to the customers. And yeah, I can only see that accelerating now in terms of what Amazon is doing and actually with the channel and what Ruba is doing. I think this is exactly in the right direction. >> What's your message? >> My message is, this is now channel. This is channel and this is serious. So partners with Amazon equals growth. >> As we've seen so much transformation in the last couple of years, Sergio, with every business having to become digital to survive. Right and then to eventually thrive and succeed and grow in the challenging economic times that we've had. What are some of the, the pivots that TD Synnex has made through your partner program to meet customer needs to accelerate their transformation? >> Yeah, as you said, has been a significant transformation. I think that in the past was clear what was a technology company and what industrial company, et cetera and those frontiers are blending right now. Then as a consequence we have been investing in several elements. Once is to really increase the capability of the partner network in a way that they can on one side provide more solution-oriented activities to those customers to drive either growth or cost optimization. The other element has been verticalization meaning know the industry where you are playing. We have been investing in the healthcare market, of course as a consequence of all the demand that has been generating. But at the same time and we recently announced the competence in the government sector where we expand drastically our capabilities around specifically the federal, and non feral business, but not only in US but across the world with those elements. Then I would say it's a combination of enhancing the skill, enhancing the knowledge on the industry, and finally provide the tools through our platform to enable the partner to operate in a digital way and enable the access of ISVs to digitally and serving the customers end to end. >> Is that the ISV experience project that I heard about? ISV experience with SaaS companies, Is that what you're referring to? >> Yeah, ISVs is one. ISP experience is one of the components that we use, but basically what we are trying to achieve with the ISV is helping in the journey of specification. It's how you transform either a partner that is born in the cloud or a partner that is still in the, in the OnPrem side how you transition to the cloud and enabling how you reach to the end user in a more effective way. And how we expose 140,000 partner across the multiple geographies to help those ISVs to reach more customers. >> It's great distribution. I mean this is, a business model innovation. >> Sorry? >> It's a business model innovation for these ISVs. >> Absolutely. Some of the ISVs, as you can imagine they're incumbent with us. We work with them. So actually it's finding new ways of consuming technology. But there's thousands of them that actually do not understand how to operate with a channel. And this is a part where we help them with the channel, build a program. Coach them through the process, help them access the partners and the customers that Sergio was referring to. >> Let me ask you guys a question. Where's the growth going to come from? I mean you mentioned ecosystem, more growth, Ruba was mentioned that's where the growth is. They are serious. She's going to deliver that keynote now. Where do you guys see your growth coming from? >> Well, to be honest the growth is unlimited in our opinion, right. It's so many areas. >> The wave is still coming. Yeah >> The wave is still there, you know. When you see still the amount of platform that need to be immigrated to the cloud then we have been investing in a significant way in enable capabilities of migration programs from the on-premise to off premise. At the same time, we have been expanding geographically because it's still several segments and markets we operate globally. As an example we recently launched our public sector capability in Latin America and Europe, expanding those segments. And in addition to that again, how we bring more ISVs more solution oriented driven than many spots of growth. And I think that Amazon message recently recognized more and more the value of nobody have all the solutions. You need this ecosystem plan together to bring those solutions to market. >> So if I build on that. If we look at the growth in public cloud last year, was around $40 billion. We expect a similar growth level this year as well. I mentioned about deflationary force, the technology being a deflationary force. Now everybody knows a lot of businesses out there are going under a lot of challenges. So they have to compete, they have to have the insights they have to be efficient and actually they're going to get a lot of that through the technologies that we're talking about here. The key to that is partners with the right skillsets. What we are seeing is the partners with the skillsets who can participate in that $40 billion growth, take a big, big share of it. >> And you guys are providing a great service. I think when I wrote the story on Friday that I published one of my premise was, is that this Next-Gen cloud is going to lift up more ISVs which is kind of a legacy classic, independent software vendor. Create new kinds of partners that have platforms or unique solutions for verticals. So, the ISV classic definition will still exist and new customers are emerging. It's got a new dynamic developing. We're seeing people build clouds on top of the cloud tap the ecosystem, partner distribution, services. It's a whole new way to build and take something to market. What do you guys think about that? >> Yeah, I think that the beauty of our position in the market is that we are in the center of that ecosystem. Again, we have access to thousands of ISVs thousands of hardware vendors, the hyper-scalers then somebody need to put all those pieces together. That is our role in the market. >> It's a good position to be in. >> It's a good place to be. And enabling those partners now to collaborate with all those entities to bring the solution because the customer is not acquiring technology anymore. They're acquiring a solution to a problem now. And that solution require multiple components. >> Last year. No, this year, I'm sorry. You guys were announced as EMEA distributor of the, of the year. Congratulations on that. >> Yeah, thank you. Talk about that in terms of just the evolution of the partnership. >> The partnership in EMEA is now across our entire geo. The growth that we have driven across the EMEA market space, is I think the reason why we have won it. As well as the competencies that we have built. Now you were just talking about ISVs to give you an example, there are many ISVs that sit in EMEA that want to access the US market and vice versa. So where we sit in the middle and enable that access. The frameworks that they need to move. So those are the kind of things that contribute to the strengthened in the relationship and what those awards are coming from. >> Yeah. The other critical factor here is, again how we bring more capillarity in terms of the serve to the market to Amazon. And that has been another component of data that we are very thankful. Again, we has been enabling and bringing numerous new partners and numerous new end customers that now have access, support and services. Including again, the competencies that we already described but including service oriented businesses like migration, like cost optimization of the use, et cetera. That now we through partners serve to the market. >> Reza and Sergio, I want ask you guys a question around trust. Trust. You're a trust broker because you have a lot of services and people and companies to put together. We were just talking about the good position you're in. >> Trust is a big part of your relationship with your customers. You've got two sides of your business, you got one side's the supply side and you got the distribution side and then both sides are working together, requires a lot of trust. What's that look like inside your company? Can you just chip in and explain, take a bit to explain what's that like? The culture of the company and that trust. >> Yeah, absolutely. And that is why the term of trust advisor came to the table right? And again, for more than 40 years we have been building this ecosystem. We have been driving that motion and we have been proving to the market a consistent approach with a strong support to the two tier model. We never, you know get in opposition to our customers and we enable those customers in a consistent way. And I think that trust is something that you earn, not something that you ask for. And that is what we are doing day to day basis. >> Congratulations, it's been great. Great chatting with you. Challenge time? For the challenge time? >> Challenge time. >> Alright guys. >> New challenge on the Cuba new format. We usually say yes at the end of the interview. What's take on the show, what's the bumper sticker? So think of it like an Instagram reel, thought leadership, hot take. Each of you, spend a minute 30 seconds to share a hot take, thought leadership, what you think was going on at Amazon? Why you're here? What's important? What would you say if you were going to do an Instagram reel right now? >> Yeah, the Amazon enable a new way to do business and a new transformation of the digital economy. We are here TD Synnex to expand that capability across the segments. Enhancing partners to reach to their goals and in users to get those transformations. In general we will provide what is needed and we continue investing to continue growing the capacity across all geographies and all the type of solutions that we deliver. >> All right, Sergio you nailed it. Reza you're up. Your hot take your sizzle reel. >> Well, frankly I think Sergio nailed it. It's about covering the geos and taking the competencies and make sure we execute consistently across all of our geos. >> All right, nailed it. Thanks so much. >> Consistent execution. Reza, Sergio. Thank you so much for joining John and me on the program, talking about what TD Synnex has done since we've last seen you. What you're doing with AWS and the partner ecosystem. We really appreciate you stopping by this side. >> Thank you very much. Thank you for the time. >> Alright, our pleasure. For our guests and for John Furrier, I'm Lisa Martin. You're watching theCUBE, the leader at Live Tech coverage.

from the silicon angle media office in Boston Massachusetts it's the cube now here's your host David on tape the imperative to protect data has never been more pressing as companies transform themselves from businesses into digital businesses the intrinsic value of their data Rises exponentially the problem for infrastructure pros is that everything in IT is additive it seems like nothing ever dies which means more things to manage now think about that when you're protecting data you have bare metal VMs now containers you've got cloud you got to worry about the edge all this data needs to be protected not only does this increase complexity it expands the attack surface for adversaries wanting to steal or ransom your data at the heart of all this is a build out of a massively global distributed cloud we saw wave 1 of the cloud which was public wave 2 was really hybrid and that's evolving now in parallel you're seeing the emergence of multi cloud and as I said these earlier trends are additive they're not replacements and with me to discuss these important issues and how Dell EMC specifically is pivoting toward cloud data protection is Beth Phelan who is the president of Dell emcs Data Protection Division that's great to see you well good to be here again so we know the world is hybrid it's a fundamental the on-prem stuff is part of the fundamental digital digital transformations of these these companies and now you've got data protection for the cloud so what do you see happening in that world yeah let's start with what we're seeing in the market we recently remade on our global data protection index we've been doing it for many years and we've been really using that to help us understand the landscape and what our customers need and first not surprisingly it shows that continued trend of movement and reliance towards cloud environments for business applications continuing to increase on top of that the customers despite that are continuing to struggle with ensuring they have the right data protection for their cloud environments right so they're they're struggling you see that we see that as well what what's going on there well what is the data tell you yeah first of all more than half of the customers don't have a comprehensive data protection solution for their Salas cloud native and multi cloud environments more than two-thirds of the customers who may be relying on their cloud service providers for data protection say that they do not have a solution that covers all of their workloads so whether they're working with a cloud service provider or some other vendor they're being really clear that they do not have a comprehensive approach to cloud data protection yeah so I mean you see the cloud adoption is going like crazy but it seems like the data protection component is lagging how is that affecting the traction in your business yeah you know it's a double-edged sword right on one level customers see the advantages of moving to a cloud on the other hand you know they are really looking for vendors that they can partner with to still have the same confidence that the data is protected that they have on Prem and what we're seeing now is that customers are turning to us to help solve that problem we have over a thousand customers using Dell EMC for their Cloud Data Protection and we're narrowing in on three exabyte the data that we're currently protecting in the cloud so it's happening yeah that's pretty good traction so I want to talk about VMware obviously VMware is the linchpin of many customers hybrid strategy and it's a clearly an important component of Dell technologies talk a little bit about the relationship between Dell EMC data protection specifically and VMware I'm interested in you know they've announced project tenzou and there's kubernetes how are you guys working together to really deliver a value for customers so we are super excited about the opportunity to work so closely with VMware because as they're cut in their domain we're working directly with them and that's an advantage that comes with being part of the dell technologies family and so we were the first company to bring data protection for were kubernetes environments out to market it's available now so you'll see us bring that into the tenzou mission-critical has been moved forward partnering closely with with vmware and of course we're already fully certified for vmware cloud it's really an ongoing regular conversation about how we can work together to bring the best to our customers so Beth I gotta ask you so you're part of your role as the leader of the the division is obviously you gotta get a lot of mouths to feed big division you got to make your plan you got to deliver for customers but strategy is another key component of this how do all these cloud trends shape your strategy so core to our strategy is to be the essential provider of data protection for multi cloud environments so no matter where customers are choosing to deploy their applications they can have the same confidence that they always did that that data is protected and the way they can get it back so that's core and if you want three words to remember for our strategy think VMware cloud and cyber cloud is central to it and you're going to be hearing a lot more about it in the weeks and months ahead okay so I gotta ask you break out your binoculars maybe even the telescope what are the future what are the future's look like when you think about the division and the market so we've been talking about cloud for a long time but we are still in the middle of this journey customers are going to rely on the cloud even more for additional use cases and especially in the data protection space right now we're seeing backup to the cloud dr to the cloud but the future will include cyber resiliency that's leveraging cloud deployments you're also going to see more and more of an emphasis on people leveraging SAS for their software consumption and for us that means not only protecting SAS applications but it also means giving customers the option to consume data protection in a SAS model we already do that today with things like cloud snapshot manager with things like the power protect management and orchestration but you're going to see us do even more of that because they're just incredible benefits of people leveraging sass to consume their software data constantly evolving lamps landscape data protection has to evolve with it Beth thanks so much for thank you and thank you keep it right there we'll be right back right after this short break from world famous cloud Studios Dell Technologies presents the world's number one show on data protection solutions for today's organizations it's proven in modern magazine with Jake and Emmy hello everyone and welcome to the premiere of PM magazine where we cover the proven Dell technology solutions that you've come to rely on and the latest modern innovation driving powerful data protection for the future I recently spent some quality time with one of our customers and I learned a thing or two about Dell proven data protection solutions let's watch the clip we've always relied on tell performance efficiency and scale to help us keep pace with our data protection needs but there's so much more for example we've been crushing it with Dell cloud data protection for backup to the cloud in cloud backup cloud tearing cloud dr uh-huh look at the picture it's a huge business advantage how so our costs are down we spend less time on management we're meeting our service levels and we have peace of mind that all of our data is protected right awesome did you talk about how Dells agile development approach is accelerating the speed at which we deliver customer value yes and how cloud capabilities will continue to grow yes and about VMware protection yes and cyber recovery yes I mean we covered all of that as well as the mega trends that require data protection with a modern approach well modern is exactly what our guests today are here to discuss Jake he is Ken fatale a noted data protection expert and joining us from the field on her vacation in the Bahamas is Barbara Penner of the data management Institute thank you both for being here so Ken what should our viewers think about when they hear the phrase modern data protection they should think new requirements for modern applications cloud native workloads Cubana is multi-cloud and data services to name a few Barbara would you add anything to that list I would add business service recovery on premises or in the cloud autonomous protection to auto detect and protect workloads across edge core and cloud infrastructure and lastly all of this must operate at global scale thank you both this is exactly where we're heading with Dell power protect solutions well it's time for a break but when we come back we've got something special in store for you don't we Jake I was hoping you forgot oh no someone learned how to make cream puffs and it did not turn out well for him yeah my apologies in advance to my mother who tried to show me around the kitchen but as you can see we'll be right back [Music] we're back with Rob and Rob Emslie who's the director of product marketing for Delhi MCS data protection division Rob good to see you hi Dave good to be back so we just heard from Beth about some of the momentum that you guys have from your perspective from a product angle what is really driving this yeah well one of the things that we've you know definitely seen is that as we talk to our customers both existing and new customers cloud journeys is is top of mind for all of the CIOs it's being driven by either the desire to drive efficiency take out costs and data protection is one of the the most common use cases and one of the things that we find is that there's four use cases for data protection that we see long term retention of data cloud disaster recovery backup to the cloud and the emerging desire to stand up new applications in the cloud that need to be protected so backup in the cloud really completes the four major use cases well one of the things I think is really important this market is that you deliver optionality to your customers so how are our customers enabling these use cases yeah so the the first two UK's first two use cases of long term retention and cleitus recovery is is really driven by our software on our appliances both of those are really predicated based upon the assumption that customers are going to deploy data protection on premises to protect their on-premises workloads and then it's here to the cloud or which is becoming more common used to cloud as a disaster recovery target you know it's delivered by our data protection software and that's either in a software form factor or that software delivered in an integrated appliance form factor so let's talk about purpose-built backup appliances I think you know our friends at IDC I think you know coined that they tracked that market for a while you guys have been a leader there the acquisition of data domain obviously put you in a really strong position give us the update there is it's still a vibrant market is it growing what's the size it's it look like yeah so as we look at 2020 you know IDC forecasts the market size to be a little under five billion dollars so it's still a very large market the overall market is growing at a little over four percent but the interesting thing is that if you think about how the market is is made up it's made up of two different types of appliances one is a target appliance such as data domain and the new power protect dd and the other is integrated appliances where you integrate the target appliance architecture with data protection software and it's the integrated appliance part of the market that is really growing faster than the other part of the of the people being market it's actually growing at 8% in fact IBC's projection is that by 2022 half of the purpose-built back to appliance market will be made up of integrated appliance solutions so it's growing at twice the overall market rate but you guys have two integrated appliances what why - how should people think about those yeah so a little under three years ago we introduced a new integrated appliance the called the integrated data protection appliance it was really the combination of our backup software with our data domain appliance architecture and the integrated air protection appliance has been our workhorse for the last three years really allowing us to to support that that fastest-growing segment of the market in fact last year the integrated air protection appliance grew by over a hundred percent so triple digit growth was great you know it's something that you know allows us to address all market segments all the way down to SMB all the way to the enterprise but last year one of the things you may remember at Delta Nadi's world is we introduced our power to protect portfolio you know and that constituted power protect data manager our new software to find platform as well as the delivery of packet there in an integrated appliance form-factor with perfectly x400 so that's really our our new scale out data protection appliance we've never had a scale out appliance in the architecture before in the portfolio before and that gives us the ability to offer customers choice scale up or scale out integrated and target and with the X 400 it's available is a hybrid configuration or it's also our first or flash architecture so really we're providing customers with the existing software solutions that we've had in the market for a long time an integrated form factor with the integrator protection appliance as well as the brand-new software platform that will really be our innovation engine that will be where we'll be looking at supporting new workloads and certainly leaning into how we support cloud air protection and the hybrid cloud reality of the next decade okay so one of the other things I want to explore is we've heard a lot about your new agile development organization Beth has talked about that a lot and the benefit obviously is you're more you're able to get products out more quickly respond to market changes but ultimately the proof is in translating that development into product what can you tell us about how that's progressing yep so certainly with Papa Tech Data Manager and the X 400 that really is the the epicenter of our agile product development activities you know we've moved to a three-month cadence for software releases so working to deliver a small batch releases into the market much more rapidly than we've ever done before in fact since we introduced palpitate Denham manager where we we shipped the first release in July we're now at the third iteration of palpitate Data Manager and therefore the third iteration of the x100 appliance so there's three things that you know I'd like to highlight within the x100 appliance specifically first is really the the exciting news that we've introduced support for kubernetes so we're really the first you know large enterprise data protection vendor to to lean into providing kubernetes data protection so that becomes the vitally important especially with the developments over our partner in VMware with vSphere 7 with the introduction of tan zoo and the reality is that customers will have both these fear virtual machines and kubernetes containers working side-by-side and both of those environments need to be protected soap a patek denim algae and the x400 appliance has that support available now for customers to take advantage of second we talked about long-term retention of of data in the cloud the x100 appliance has just received the capabilities to also take part in long term retention to AWS so those are two very important cloud capabilities that are brand-new with the excellent appliance and then finally we introduced yet 400 appliance with a maximum configuration of four capacity cubes rough-and-tough that was 400 terabytes of usable capacity we've just introduced support of 12 capacity cubes so that gives the customers the ability to scale out the x100 appliance from 64 terabytes all the way to over a petabyte storage so now if you look at our two integrated appliances we now cover the landscape from small numbers of terabytes all the way through to a petabyte of capacity whether or not you pick a scale up architecture or a scale length architecture yeah so that really comes back to the point I was making about optionality and kubernetes is key it's gonna be a linchpin obviously a portability for multi cloud sets that up as we've said it's it's not the be-all end-all but it's a really necessary condition to enable multi cloud which is fundamental to your strategy absolutely alright Rob thanks very much for coming on the cube it's great to have you thanks Dave and thank you for watching everybody this is Dave Volante for the cube we'll see you next time [Music]