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

>>From the Cube Studios in Palo Alto in Boston, bringing you data driven insights from the cube and etr. This is breaking analysis with Dave Ante. >>Have you ever been driving on the highway and traffic suddenly slows way down and then after a little while it picks up again and you're cruising along and you're thinking, Okay, hey, that was weird. But it's clear sailing now. Off we go, only to find out in a bit that the traffic is building up ahead again, forcing you to pump the brakes as the traffic pattern ebbs and flows well. Welcome to the Seesaw economy. The fed induced fire that prompted an unprecedented rally in tech is being purposefully extinguished now by that same fed. And virtually every sector of the tech industry is having to reset its expectations, including the cloud segment. Hello and welcome to this week's Wikibon Cube Insights powered by etr. In this breaking analysis will review the implications of the earnings announcements from the big three cloud players, Amazon, Microsoft, and Google who announced this week. >>And we'll update you on our quarterly IAS forecast and share the latest from ETR with a focus on cloud computing. Now, before we get into the new data, we wanna review something we shared with you on October 14th, just a couple weeks back, this is sort of a, we told you it was coming slide. It's an XY graph that shows ET R'S proprietary net score methodology on the vertical axis. That's a measure of spending momentum, spending velocity, and an overlap or presence in the dataset that's on the X axis. That's really a measure of pervasiveness. In the survey, the table, you see that table insert there that shows Wiki Bond's Q2 estimates of IAS revenue for the big four hyperscalers with their year on year growth rates. Now we told you at the time, this is data from the July TW 22 ETR survey and the ETR hadn't released its October survey results at that time. >>This was just a couple weeks ago. And while we couldn't share the specific data from the October survey, we were able to get a glimpse and we depicted the slowdown that we saw in the October data with those dotted arrows kind of down into the right, we said at the time that we were seeing and across the board slowdown even for the big three cloud vendors. Now, fast forward to this past week and we saw earnings releases from Alphabet, Microsoft, and just last night Amazon. Now you may be thinking, okay, big deal. The ETR survey data didn't really tell us anything we didn't already know. But judging from the negative reaction in the stock market to these earnings announcements, the degree of softness surprised a lot of investors. Now, at the time we didn't update our forecast, it doesn't make sense for us to do that when we're that close to earning season. >>And now that all the big three ha with all the big four with the exception of Alibaba have announced we've, we've updated. And so here's that data. This chart lays out our view of the IS and PAs worldwide revenue. Basically it's cloud infrastructure with an attempt to exclude any SaaS revenue so we can make an apples to apples comparison across all the clouds. Now the reason that actual is in quotes is because Microsoft and Google don't report IAS revenue, but they do give us clues and kind of directional commentary, which we then triangulate with other data that we have from the channel and ETR surveys and just our own intelligence. Now the second column there after the vendor name shows our previous estimates for q3, and then next to that we show our actuals. Same with the growth rates. And then we round out the chart with that lighter blue color highlights, the full year estimates for revenue and growth. >>So the key takeaways are that we shaved about $4 billion in revenue and roughly 300 basis points of growth off of our full year estimates. AWS had a strong July but exited Q3 in the mid 20% growth rate year over year. So we're using that guidance, you know, for our Q4 estimates. Azure came in below our earlier estimates, but Google actually exceeded our expectations. Now the compression in the numbers is in our view of function of the macro demand climate, we've made every attempt to adjust for constant currency. So FX should not be a factor in this data, but it's sure you know that that ma the the, the currency effects are weighing on those companies income statements. And so look, this is the fundamental dynamic of a cloud model where you can dial down consumption when you need to and dial it up when you need to. >>Now you may be thinking that many big cloud customers have a committed level of spending in order to get better discounts. And that's true. But what's happening we think is they'll reallocate that spend toward, let's say for example, lower cost storage tiers or they may take advantage of better price performance processors like Graviton for example. That is a clear trend that we're seeing and smaller companies that were perhaps paying by the drink just on demand, they're moving to reserve instance models to lower their monthly bill. So instead of taking the easy way out and just spending more companies are reallocating their reserve capacity toward lower cost. So those sort of lower cost services, so they're spending time and effort optimizing to get more for, for less whereas, or get more for the same is really how we should, should, should phrase it. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused on doing that because business was booming and they had a response. >>So they just, you know, spend more dial it up. So in general, as they say, customers are are doing more with, with the same. Now let's look at the growth dynamic and spend some time on that. I think this is important. This data shows worldwide quarterly revenue growth rates back to Q1 2019 for the big four. So a couple of interesting things. The data tells us during the pandemic, you saw both AWS and Azure, but the law of large numbers and actually accelerate growth. AWS especially saw progressively increasing growth rates throughout 2021 for each quarter. Now that trend, as you can see is reversed in 2022 for aws. Now we saw Azure come down a bit, but it's still in the low forties in terms of percentage growth. While Google actually saw an uptick in growth this last quarter for GCP by our estimates as GCP is becoming an increasingly large portion of Google's overall cloud business. >>Now, unfortunately Google Cloud continues to lose north of 850 million per quarter, whereas AWS and Azure are profitable cloud businesses even though Alibaba is suffering its woes from China. And we'll see how they come in when they report in mid-November. The overall hyperscale market grew at 32% in Q3 in terms of worldwide revenue. So the slowdown isn't due to the repatriation or competition from on-prem vendors in our view, it's a macro related trend. And cloud will continue to significantly outperform other sectors despite its massive size. You know, on the repatriation point, it just still doesn't show up in the data. The A 16 Z article from Sarah Wong and Martin Martin Kasa claiming that repatriation was inevitable as a means to lower cost of good sold for SaaS companies. You know, while that was thought provoking, it hasn't shown up in the numbers. And if you read the financial statements of both AWS and its partners like Snowflake and you dig into the, to the, to the quarterly reports, you'll see little notes and comments with their ongoing negotiations to lower cloud costs for customers. >>AWS and no doubt execs at Azure and GCP understand that the lifetime value of a customer is worth much more than near term gross margin. And you can expect the cloud vendors to strike a balance between profitability, near term profitability anyway and customer attention. Now, even though Google Cloud platform saw accelerated growth, we need to put that in context for you. So GCP, by our estimate, has now crossed over the $3 billion for quarter market actually did so last quarter, but its growth rate accelerated to 42% this quarter. And so that's a good sign in our view. But let's do a quick little comparison with when AWS and Azure crossed the $3 billion mark and compare their growth rates at the time. So if you go back to to Q2 2016, as we're showing in this chart, that's around the time that AWS hit 3 billion per quarter and at the same time was growing at 58%. >>Azure by our estimates crossed that mark in Q4 2018 and at that time was growing at 67%. Again, compare that to Google's 42%. So one would expect Google's growth rate would be higher than its competitors at this point in the MO in the maturity of its cloud, which it's, you know, it's really not when you compared to to Azure. I mean they're kind of con, you know, comparable now but today, but, but you'll go back, you know, to that $3 billion mark. But more so looking at history, you'd like to see its growth rate at this point of a maturity model at least over 50%, which we don't believe it is. And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a zero sum game, meaning there's plenty of opportunity exists to build value on top of hyperscalers. >>And I would totally agree it's not a dollar for dollar swap if you can continue to innovate. But history will show that the first company in makes the most money. Number two can do really well and number three tends to break even. Now maybe cloud is different because you have Microsoft software estate and the power behind that and that's driving its IAS business and Google ads are funding technology buildouts for, for for Google and gcp. So you know, we'll see how that plays out. But right now by this one measurement, Google is four years behind Microsoft in six years behind aws. Now to the point that cloud will continue to outpace other markets, let's, let's break this down a bit in spending terms and see why this claim holds water. This is data from ET r's latest October survey that shows the granularity of its net score or spending velocity metric. >>The lime green is new adoptions, so they're adding the platform, the forest green is spending more 6% or more. The gray bars spending is flat plus or minus, you know, 5%. The pinkish colors represent spending less down 6% or worse. And the bright red shows defections or churn of the platform. You subtract the reds from the greens and you get what's called net score, which is that blue dot that you can see on each of the bars. So what you see in the table insert is that all three have net scores above 40%, which is a highly elevated measure. Microsoft's net scores above 60% AWS well into the fifties and GCP in the mid forties. So all good. Now what's happening with all three is more customers are keep keeping their spending flat. So a higher percentage of customers are saying, our spending is now flat than it was in previous quarters and that's what's accounting for the compression. >>But the churn of all three, even gcp, which we reported, you know, last quarter from last quarter survey was was five x. The other two is actually very low in the single digits. So that might have been an anomaly. So that's a very good sign in our view. You know, again, customers aren't repatriating in droves, it's just not a trend that we would bet on, maybe makes for a FUD or you know, good marketing head, but it's just not a big deal. And you can't help but be impressed with both Microsoft and AWS's performance in the survey. And as we mentioned before, these companies aren't going to give up customers to try and preserve a little bit of gross margin. They'll do what it takes to keep people on their platforms cuz they'll make up for it over time with added services and improved offerings. >>Now, once these companies acquire a customer, they'll be very aggressive about keeping them. So customers take note, you have negotiating leverage, so use it. Okay, let's look at another cut at the cloud market from the ETR data set. Here's the two dimensional view, again, it's back, it's one of our favorites. Net score or spending momentum plotted against presence. And the data set, that's the x axis net score on the, on the vertical axis, this is a view of et r's cloud computing sector sector. You can see we put that magic 40% dotted red line in the table showing and, and then that the table inserts shows how the data are plotted with net score against presence. I e n in the survey, notably only the big three are above the 40% line of the names that we're showing here. The oth there, there are others. >>I mean if you put Snowflake on there, it'd be higher than any of these names, but we'll dig into that name in a later breaking analysis episode. Now this is just another way of quantifying the dominance of AWS and Azure, not only relative to Google, but the other cloud platforms out there. So we've, we've taken the opportunity here to plot IBM and Oracle, which both own a public cloud. Their performance is largely a reflection of them migrating their install bases to their respective public clouds and or hybrid clouds. And you know, that's fine, they're in the game. That's a point that we've made, you know, a number of times they're able to make it through the cloud, not whole and they at least have one, but they simply don't have the business momentum of AWS and Azure, which is actually quite impressive because AWS and Azure are now as large or larger than IBM and Oracle. >>And to show this type of continued growth that that that Azure and AWS show at their size is quite remarkable and customers are starting to recognize the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's apex. You know, you may say, well that's not cloud, but if the customer thinks it is and it was reporting in the survey that it is, we're gonna continue to report this view. You know, I don't know what's happening with H P E, They had a big down tick this quarter and I, and I don't read too much into that because their end is still pretty small at 53. So big fluctuations are not uncommon with those types of smaller ends, but it's over 50. So, you know, we did notice a a a negative within a giant public and private sector, which is often a, a bellwether giant public private is big public companies and large private companies like, like a Mars for example. >>So it, you know, it looks like for HPE it could be an outlier. We saw within the Fortune 1000 HPE E'S cloud looked actually really good and it had good spending momentum in that sector. When you di dig into the industry data within ETR dataset, obviously we're not showing that here, but we'll continue to monitor that. Okay, so where's this Leave us. Well look, this is really a tactical story of currency and macro headwinds as you can see. You know, we've laid out some of the points on this slide. The action in the stock market today, which is Friday after some of the soft earnings reports is really robust. You know, we'll see how it ends up in the day. So maybe this is a sign that the worst is over, but we don't think so. The visibility from tech companies is murky right now as most are guiding down, which indicates that their conservative outlook last quarter was still too optimistic. >>But as it relates to cloud, that platform is not going anywhere anytime soon. Sure, there are potential disruptors on the horizon, especially at the edge, but we're still a long ways off from, from the possibility that a new economic model emerges from the edge to disrupt the cloud and the opportunities in the cloud remain strong. I mean, what other path is there? Really private cloud. It was kind of a bandaid until the on-prem guys could get their a as a service models rolled out, which is just now happening. The hybrid thing is real, but it's, you know, defensive for the incumbents until they can get their super cloud investments going. Super cloud implying, capturing value above the hyperscaler CapEx, you know, call it what you want multi what multi-cloud should have been, the metacloud, the Uber cloud, whatever you like. But there are opportunities to play offense and that's clearly happening in the cloud ecosystem with the likes of Snowflake, Mongo, Hashi Corp. >>Hammer Spaces is a startup in this area. Aviatrix, CrowdStrike, Zeke Scaler, Okta, many, many more. And even the projects we see coming out of enterprise players like Dell, like with Project Alpine and what Pure Storage is doing along with a number of other of the backup vendors. So Q4 should be really interesting, but the real story is the investments that that companies are making now to leverage the cloud for digital transformations will be paying off down the road. This is not 1999. We had, you know, May might have had some good ideas and admittedly at a lot of bad ones too, but you didn't have the infrastructure to service customers at a low enough cost like you do today. The cloud is that infrastructure and so far it's been transformative, but it's likely the best is yet to come. Okay, let's call this a rap. >>Many thanks to Alex Morrison who does production and manages the podcast. Also Can Schiffman is our newest edition to the Boston Studio. Kristin Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Ho is our editor in chief over@siliconangle.com, who does some wonderful editing for us. Thank you. Remember, all these episodes are available as podcasts. Wherever you listen, just search breaking analysis podcast. I publish each week on wiki bond.com at silicon angle.com. And you can email me at David dot valante@siliconangle.com or DM me at Dante or comment on my LinkedIn posts. And please do checkout etr.ai. They got the best survey data in the enterprise tech business. This is Dave Valante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.

>>The Cube Presents UI Path Forward five. Brought to you by UI Path. >>Hi everybody. We're back. David Ante with David Nicholson. This is UiPath Forward five from Las Vegas. We're live, you know, the customers here, they're automating all the time, sucking work and the cube. We're sucking all the information out of the experts and the customers. A bar Toban is here. He's the global business, Shared services, leading automation and AI at PepsiCo. And Para Colan is back is the chief. He's the Chief product officer at UiPath, longtime Cube alum. Great to see you guys. Thanks for coming on. Great to see us all day. So you guys keynote today, you know, excited to have PepsiCo on. I'm not sure I've ever interviewed PepsiCo in the Cube, but tell us about your role there. >>Absolutely. So I'm part of a PepsiCo global business shared services team. I lead automation and AI capabilities. GBS has, you know, we started GBS portfolio back about three and a half years ago, and we have a six hubs across PepsiCo. And as, as a part of my role, we deliver transformational capability across the PepsiCo. >>When did it all start? >>About three and a half years ago, 2019. So >>Prior to the pandemic. Yeah. You know, versus the pandemic was the catalyst for this. Yeah. But it was at the catalyst, but maybe it sped it up a bit. >>Yeah. PepsiCo journey started with, if, if you look at the PepsiCo, you know, the automation journey, it started back in 2017, but the GBS portfolio took shape back in 2019. So prior to that, you know, PepsiCo was definitely, you know, working a lot of, you know, the automation capabilities and automation product across, you know, PepsiCo. But with the introduction of PepsiCo global business shared services team, we are, you know, centralizing a lot of transformation capability, you know, across the functions that, that we support within the >>PepsiCo and, and UI path was kind of part of that journey all along? Or was there sort of other activities beforehand or how did that >>No, no, absolutely. Starting from 2017, if I, you know, remembered, you know, with the vision of our, you know, some of our senior leadership team and recognizing the value of, you know, automation in the core, you know, capability as a transformation at that time, you know, we started with just like anybody else, right? We started with, you know, proof of concept, showed some, you know, early wins and the value back to the business, start setting up some, you know, business processes and capabilities, stood up the platform, build a complete, you know, ecosystem around that, you know, platform partnership with, you know, UI bot team. And you know, from there, here we are five years. I mean, it's, it's a, it's a, it's a, it's a very critical component to our digital transformation capability and, and yes, leverage across >>Let's talk platform probably. So you, you guys have made some announcements this week. You talk about the business automation platform. I remember our first forward was, you know, RPA tool. Okay. Yeah. And then you guys made acquisitions. I was there for that. So the process process cold and then people started to really expand it, and it's really come in amazingly long away in a short time. So what did you guys announce today? What'd you talk about on stage 2022 dot 10? Tell us more about it. >>Absolutely, Dave. So you've seen the journey, you've been with us since the early days. You know, we were in 2017 and RPA tool that could automate a representative task that happened over and over again in the environment. And then three years ago you were here when we announced the automation platform, we said, it's not just about a task, it's about involving humans in bots to manage end to end processes. It's about discovering what automation opportunities exist. It's about using ai. Pepsi Co was actually the pioneer of using AI along with automation. You know, we were in stage together with them in, in 2019. And where we are now is we're essentially seeing people want to take the next step with automation. They're saying that it's no longer just an automation tool, It's the way we operate. It's the way we innovate in the organization. So they're really making sure that it becomes a part of their digital transformation journey that they're on. >>And they're saying that we can to the digital transformation by consolidating multiple RP systems and CRM systems. And that'll take us seven years to do, or we can go with UI path and we can leverage the core that we can leverage the GL system that exists today. We can leverage the inventory tracking system that exists today and start to build processes on top of that that can adapt to what customers are trying to do in this digital age. And that's where, you know, we've made announcements today is, is really pivot the platform to be a business automation platform. And there's sort of three layers, you know, unique but you know, connected layers of the platform. The first one is discover. And Discover is all about finding your processes, identifying the opportunities, making sure that you are managing the return on investment. What is the process? >>You know, how are you getting ROI on it? The second one is automated, and that is really where we're applying semantic automation to identify the digital building blocks of an enterprise, which is your data, your document, your screens and communication. Like putting all of that together and saying you can automate in our processes, leveraging a lot of intelligence that exist in how business processes are done. And the last one is operate, which is if you're trying to execute a business process at scale, you're processing not just, you know, a task thousand times, but you are fulfilling millions of transactions. You're, you know, you're looking at trillions of records to identify what processes you need, a scalable enterprise platform that's able to ingest a lot of data report on metrics report and efficiency. So that's what we've announced today is an automation platform that companies can use to put at the center of the digital transformation journey. >>So like about the interesting thing about PepsiCo, you guys started in 2017. Yeah. So kind of early, early on. Yeah. Yeah. And you kind of been there with the progression of platform. So my question to you is, and it was, you know, Yeah, we've seen the e from primarily on-prem now it's cloud first. Yeah. How disruptive or non disruptive was that for you? Did you have to rip and replace? Did you have to sort of retool or migrate? What was that like? >>No, I mean, significant disruption, right? I mean, I mean, as, as we started our journey back in 2017, just like, you know, PRM mentioned, right? With simple rule based, you know, the automation from then now to our journey where our continue to, you know, infuse, you know, AI capability, document understanding, conversation ai, right? As a part of our end to end profile. At the same time, I think the cloud is providing a fantastic opportunity for us to continue to scale, right? You know, scale at, at large. So that I think is a fantastic op, you know, fantastic platform and fantastic, you know, the opportunity that we are looking forward >>To. So how do you affect adoption inside of the organization? Can you talk about that? What's working? What's, >>It's always value driven as you know, right? I mean, the business business has to see the value. It it, it was, I mean, I would, you know, admit it was not as easy as before, but as the mindsets have started to shift, right? As the people have started to realize the value that, you know, the automation brings to, you know, the, I mean, you know, not just the, the value for the business, but actually transforming the entire portfolio, right? And, and people have started to see now that not every automation project is going to be transformation product, but for every transformation project you will find the automation at the heart and the core of it. So I, I, I think that's what has started to shift the mindset of, of uniforms. >>So how do you know when you have end to end? What are you still wake up one day and say, Wow, we've achieved it. You know, is it pieces that come together? Yeah. What do you say? >>Yeah, You know, we wanna look at customers from, you know, from an end to end perspective. It's not just about piecemealing finding a problem, solving it, really what does it deliver from, from an end to end perspective. Did you actually, you know, because a lot of times companies will say, we wanna automate X number of processes, and, and they do that and they're like, Well, we've automated a lot of processes. We're not sure what value we're getting out of it. It's the ability to measure like, what impact is this automation having on your business from an operational metric, but from a business metric as well. But then going back and saying, Well, where is the biggest pain point? Where do we have the largest value that we can give to the business back? So one of the things we actually announced today is the ability to take at an look at an idea and look at what was the estimated benefits of an idea, and then map it all the way through execution to say, what are we getting? >>We estimated we were gonna save a million dollars by doing those automation, or what have we achieved till now? Have we achieved a million dollars? Have we achieved half a million dollars by having achieved? That's, that never happens. That, and, and, and, and it's hard to do that, like the data existed, but it's really hard for people to pull that data out. So we build out the box dashboards that give you the ROI bag. And that's why it's really important to, to make sure that, you know, you look at it not just as a technology project, but more as a investment from a business side. And so you can, making a business more efficient. You >>Know, that's, I just, I know you were jumping in, but that's super important. Cause you know, you run a lot of projects Absolutely. And each of those projects has zone roi, then you jam it into the application portfolio. Exactly. And then everybody sort of forgets about it. You can't really track what impact it had because there's always, you know, some things that are benefit, some things are sometimes a negative. And so it's that holistic picture that >>You trying >>To achieve, extremely critical point, what you hit on, right? From it's measuring the benefit and measuring the continuous benefit across, and not just from start and end, Okay, what I promised I delivered or not, but, but you have to have this continuous mindset. And, and so I think yeah, definitely that, that's a very, very critical to our finance team in our cfo, >>Organiza, they're organic mechanisms and it's constantly >>Absolutely. Yeah. So abar, yeah. Global business shared services. Yeah. When you think of PepsiCo, yeah, of course people immediately think of Sure, Pepsi. But PepsiCo is a multi tentacled absolutely beast of a company. Absolutely. In a good way. Yeah. For organizations that are in that same category, holding companies, companies that have all sorts of different entities that are working together under one umbrella, How shareable is this idea of automation and business automation process moving forward? How, how shareable is that on the share oter? Yeah. Yeah. >>As >>Far as, as far as, as far as you're concerned, are you, are you talking to some people where you're saying, Hey, I'm here, I'm here from gvs and I'm here to help, and they look at you like you're crazy because you don't understand their business? Or is this something that relatively easily applies across >>Businesses that No, to your point, I mean, very valid point, right? I mean, it's, that's, that's the gbs, global business shared services mindset, right? As you move the functional areas into the Pepsi, in, into the PepsiCo gbs like hr, procurement, commercial sales, supply chain, right? That's where you gonna start to find those, you know, the optimization, you know, opportunity. You wanna start to standardize your processes, and that's where you will, you know, as you transition this processes within the gbs, that's what create those, you know, opportunities for you. >>What, >>What, what about automation opportunities? Not in the, I know you're in the sharing arena. Yeah, yeah. But each of those business units has processes that could probably be optimized and automated. Sure. Is that something that's under your purview? We've heard, we've heard a lot about citizen developers. Yeah. I don't know if that, if that >>Applies to No, that definitely. I mean, you cannot just have focus on end to end, you know, automation. I mean, that's, that's a huge portfolio for gps at the same time supporting, you know, automation through the citizen development capability. That that's where, once again, you know, you have had, provides a lot of capability and solution tools that we use, right? To continue to empower the folks who are part of our, you know, GBS team inside or outside gbs, right? It, it's, I think it's very, very critical. It, it, it helps people transform their career even in one ways, right? And, and, and, and you have that muscle, you have that resource, and you have that power. You definitely want to utilize that. >>So let's talk about metrics for a minute. So more data the better. Usually I like data. Yeah. But, but if you're trying to optimize for 15 metrics, I feel like you're not gonna optimize on any, So how do you deal with that from both as Paramo saying an operational standpoint and a business standpoint? What are the things about how do you sort of get the, the teams focused on the right things, >>Bi business, functional leadership team drive those alignment for us as a part of a global business, shared services, we, we are hip to have connected with our business, you know, functions, right? They, they have to help us prioritize those. And to your point, I mean, yeah, you cannot attack 15 metrics at once. You have to prioritize, you have to make sure that you bring the focus to the product. You have a project, right? So, so definitely, I mean, it's, it's, it's not often 15 metrics, but top three metrics, let's, let's focus, let's zoom in and ensure we are driving it. But then >>If you think about the system, I mean, at the end of the day, the p and l manager, he or she cares about ebit, let's say. Sure, okay. But there are so many factors, you know, in that complicated organization that are gonna affect ebitda. Yeah. And they're gonna be different. Yeah. But somebody's gotta figure out, okay, how do they fit together in a system? And, and can, can UiPath help me understand that, those relationships and those dependencies? >>Absolutely. I mean, I think there's a, there's an aspect of human relationships and, and making sure that you get the right level of sponsorship from the business and, and there's a business stakeholder and, and looking at every investment and, and outcomes that you're driving based on that. But, but that is something that we, from a tools perspective, we're trying to make sure that you can measure the value throughout the entire value chain. But then getting the business sponsorship, like where we've seen automation scale is always because there's a business sponsor that's essentially saying, Here's what I'm trying to achieve and here's the, here's my goal, here's the North star and go get it and let me know how you're tracking against it. And, and our job is to make sure that we can provide the visibility, the people that are operating the, the programs to make sure they get that level of visibility. >>What's the scope of automations in your, you know, organization? Is it dozens, hundreds, huge. That is thousands. >>We are getting there. >>Okay. >>No, definitely. I mean, we have definitely, you know, realized that it's, it's a core component to our digital transformation, right? So, so there is no, there's no stopping. I mean there, there, there, there's plenty of support from top down and you know, it's a fantastic time to be at PepsiCo. Right? Especially at the PepsiCo ubs, Right. >>So, Right. Thanks for sharing your story, Pam. Congratulations on all the progress you guys have made. It's actually quite remarkable to see where you guys have come from. So I really appreciate it. Thank you Dave. Thank you Dave. Okay. Thank you for watching. This is Dave Ante for Dave Nicholson. We are right middle of day two at forward five from Las Vegas. We're live, we're right back.

>>Hi, this is Dave Volonte. We're winding down Day two of the Cubes coverage of Vim on 2022. We're here at the area in Las Vegas. Myself and Dave Nicholson had been going for two days. Everybody's excited about the VM on party tonight. It's It's always epic, and, uh, it's a great show in terms of its energy. Danny Allen is here. He's cto of in his back. He gave the keynote this morning. I say, Danny, you know, you look pretty good up there with two hours of sleep. I >>had three. >>Look, don't look that good, but your energy was very high. And I got to tell you the story you told was amazing. It was one of the best keynotes I've ever seen. Even even the technology pieces were outstanding. But you weaving in that story was incredible. I'm hoping that people will go back and and watch it. We probably don't have time to go into it, but wow. Um, can you give us the the one minute version of that >>long story? >>Sure. Yeah. I read a book back in 2013 about a ship that sank off Portsmouth, Maine, and I >>thought, I'm gonna go find that >>ship. And so it's a long, >>complicated process. Five >>years in the making. But we used data, and the data that found the ship was actually from 15 years earlier. >>And in 20 >>18, we found the bow of the ship. We found the stern of the ship, but what we were really trying to answer was torpedoed. Or did the boilers explode? Because >>the navy said the boilers exploded >>and two survivors said, No, it was torpedoed or there was a German U boat there. >>And so >>our goal was fine. The ship find the boiler. >>So in 20 >>19, Sorry, Uh, it was 2018. We found the bow and the stern. And then in 2019, we found both boilers perfectly intact. And in fact, the rear end of that torpedo wasn't much left >>of it, of course, but >>data found that wreck. And so it, um, it exonerated essentially any implication that somebody screwed >>up in >>the boiler system and the survivors or the Children of the survivors obviously appreciated >>that. I'm sure. Yes, Several >>outcomes to it. So the >>chief engineer was one >>of the 13 survivors, >>and he lived with the weight of this for 75 years. 49 sailors dead because of myself. But I had the opportunity of meeting some of the Children of the victims and also attending ceremonies. The families of those victims received purple hearts because they were killed due to enemy action. And then you actually knew how to do this. I wasn't aware you had experience finding Rex. You've >>discovered several of >>them prior to this one. But >>the interesting connection >>the reason why this keynote was so powerful as we're a >>team, it's a data conference. >>You connected that to data because you you went out and bought a How do you say this? Magnanimous magnetometer. Magnetometer, Magnetometer. I don't know what that >>is. And a side >>scan Sonar, Right? I got that right. That was >>easy. But >>then you know what this stuff is. And then you >>built the model >>tensorflow. You took all the data and you found anomalies. And then you went right to that spot. Found the >>wreck with 12 >>£1000 of dynamite, >>which made your heart >>beat. But >>then you found >>the boilers. That's incredible. And >>but the point was, >>this is data >>uh, let's see, >>a lot of years after, >>right? >>Yeah. Two sets of data were used. One was the original set of side scan sonar >>data by the historian >>who discovered there was a U boat in the area that was 15 years old. >>And then we used, of >>course, the wind and weather and wave pattern data that was 75 years old to figure out where the boiler should be because they knew that the ship had continued to float for eight minutes. And so you had to go back and determine the models of where should the boilers >>be if it exploded and the boilers >>dropped out and it floated along >>for eight minutes and then sank? Where was >>that data? >>It was was a scanned was an electronic was a paper. How did you get that data? So the original side scan sonar data was just hard >>drive >>data by the historian. >>I wish I could say he used them to >>back it up. But I don't know that I can say that. But he still had >>the data. 15 years later, the >>weather and >>wind and wave data, That was all public information, and we actually used that extensively. We find other wrecks. A lot of wrecks off Boston Sunken World War Two. So we were We were used to that model of tracking what happened. Wow. So, yes, imagine if that data weren't available >>and it >>probably shouldn't have been right by all rights. So now fast forward to 2022. We've got Let's talk about just a cloud >>data. I think you said a >>couple of 100 >>petabytes in the >>cloud 2019. 500 in, Uh, >>no. Yeah. In >>20 2200 and 42. Petabytes in 20 2500 Petabytes last year. And we've already done the same as 2020. So >>240 petabytes >>in Q one. I expect >>this year to move an exhibit of >>data into the public cloud. >>Okay, so you got all that data. Who knows what's in there, right? And if it's not protected, who's going to know in 50 60 7100 years? Right. So that was your tie in? Yes. To the to the importance of data protection, which was just really, really well done. Congratulations. Honestly, one of the best keynotes I've ever seen keynotes often really boring, But you did a great job again on two hours. Sleep. So much to unpack here. The other thing that really is. I mean, we can talk about the demos. We can talk about the announcements. Um, so? Well, yeah, Let's see. Salesforce. Uh, data protection is now public. I almost spilled the beans yesterday in the cube. Caught myself the version 12. Obviously, you guys gave a great demo showing the island >>cloud with I think it >>was just four minutes. It was super fast. Recovery in four minutes of data loss was so glad you didn't say zero minutes because that would have been a live demos which, Okay, which I appreciate and also think is crazy. So some really cool demos, Um, and some really cool features. So I have so much impact, but the the insights that you can provide through them it's VM one, uh, was actually something that I hadn't heard you talk about extensively in the past. That maybe I just missed it. But I wonder if you could talk about that layer and why it's critical differentiator for Wien. It's >>the hidden gem >>within the Wien portfolio because it knows about absolutely >>everything. >>And what determines the actions >>that we take is the >>context in which >>data is surviving. So in the context of security, which we are showing, we look for CPU utilisation, memory utilisation, data change rate. If you encrypt all of the data in a file server, it's going to blow up overnight. And so we're leveraging heuristics in their reporting. But even more than that, one of the things in Wien one people don't realise we have this concept of the intelligent diagnostics. It's machine learning, which we drive on our end and we push out as packages intervene one. There's up to 200 signatures, but it helps our customers find issues before they become issues. Okay, so I want to get into because I often time times, don't geek out with you. And don't take advantage of your your technical knowledge. And you've you've triggered a couple of things, >>especially when the >>analysts call you said it again today that >>modern >>data protection has meaning to you. We talked a little bit about this yesterday, but back in >>the days of >>virtualisation, you shunned agents >>and took a different >>approach because you were going for what was then >>modern. Then you >>went to bare metal cloud hybrid >>cloud containers. Super Cloud. Using the analyst meeting. You didn't use the table. Come on, say Super Cloud and then we'll talk about the edge. So I would like to know specifically if we can go back to Virtualised >>because I didn't know >>this exactly how you guys >>defined modern >>back then >>and then. Let's take that to modern today. >>So what do you >>do back then? And then we'll get into cloud and sure, So if you go back to and being started, everyone who's using agents, you'd instal something in the operating system. It would take 10% 15% of your CPU because it was collecting all the data and sending it outside of the machine when we went through a virtual environment. If you put an agent inside that machine, what happens is you would have 100 operating systems all on the same >>server, consuming >>resources from that hyper visor. And so he said, there's a better way of capturing the data instead of capturing the data inside the operating system. And by the way, managing thousands of agents is no fun. So What we did is we captured a snapshot of the image at the hyper visor level. And then over time, we just leverage changed block >>tracking from the hyper >>visor to determine what >>had changed. And so that was modern. Because no more >>managing agents >>there was no impact >>on the operating system, >>and it was a far more >>efficient way to store >>data. You leverage CBT through the A P. Is that correct? Yeah. We used the VCR API >>for data protection. >>Okay, so I said this to Michael earlier. Fast forward to today. Your your your data protection competitors aren't as fat, dumb and happy as they used to be, so they can do things in containers, containers. And we talked about that. So now let's talk about Cloud. What's different about cloud data protection? What defines modern data protection? And where are the innovations that you're providing? >>Let me do one step in >>between those because one of the things that happened between hypervisors and Cloud was >>offline. The capture of the data >>to the storage system because >>even better than doing it >>at the hyper visor clusters >>do it on the storage >>array because that can capture the >>data instantly. Right? So as we go to the cloud, we want to do the same thing. Except we don't have access to either the hyper visor or the storage system. But what they do provide is an API. So we can use the API to capture all of the blocks, all of the data, all of the changes on that particular operating system. Now, here's where we've kind of gone full circle on a hyper >>visor. You can use the V >>sphere agent to reach into the operating system to do >>things like application consistency. What we've done modern data protection is create specific cloud agents that say Forget >>about the block changes. Make sure that I have application consistency inside that cloud operating >>system. Even though you don't have access to the hyper visor of the storage, >>you're still getting the >>operating system consistency >>while getting the really >>fast capture of data. So that gets into you talking on stage about how synapse don't equal data protection. I think you just explained it, but explain why, but let me highlight something that VM does that is important. We manage both snapshots and back up because if you can recover from your storage array >>snapshot. That is the best >>possible thing to recover from right, But we don't. So we manage both the snapshots and we converted >>into the VM portable >>data format. And here's where the super cloud comes into play because if I can convert it into the VM portable data format, I can move >>that OS >>anywhere. I can move it from >>physical to virtual to cloud >>to another cloud back to virtual. I can put it back on physical if I want to. It actually abstracts >>the cloud >>layer. There are things >>that we do when we go >>between clouds. Some use bio, >>some use, um, fee. >>But we have the data in backup format, not snapshot format. That's theirs. But we have been in backup format that we can move >>around and abstract >>workloads across. All of the infrastructure in your >>catalogue is control >>of that. Is that Is >>that right? That is about >>that 100%. And you know what's interesting about our catalogue? Dave. The catalogue is inside the backup, and so historically, one of the problems with backup is that you had a separate catalogue and if it ever got corrupted. All of your >>data is meaningless >>because the catalogue is inside >>the backup >>for that unique VM or that unique instance, you can move it anywhere and power it on. That's why people said were >>so reliable. As long >>as you have the backup file, you can delete our >>software. You can >>still get the data back, so I love this fast paced so that >>enables >>what I call Super Cloud we now call Super Cloud >>because now >>take that to the edge. >>If I want to go to the edge, I presume you can extend that. And I also presume the containers play a role there. Yes, so here's what's interesting about the edge to things on the edge. You don't want to have any state if you can help it, >>and so >>containers help with that. You can have stateless environment, some >>persistent data storage, >>but we not only >>provide the portability >>in operating systems. We also do this for containers, >>and that's >>true if you go to the cloud and you're using SE CKs >>with relational >>database service is already >>asked for the persistent data. >>Later, we can pick that up and move it to G K E or move it to open shift >>on premises. And >>so that's why I call this the super cloud. We have all of this data. Actually, I think you termed the term super thank you for I'm looking for confirmation from a technologist that it's technically feasible. It >>is technically feasible, >>and you can do it today and that's a I think it's a winning strategy. Personally, Will there be >>such a thing as edge Native? You know, there's cloud native. Will there be edge native new architectures, new ways of doing things, new workloads use cases? We talk about hardware, new hardware, architectures, arm based stuff that are going to change everything to edge Native Yes and no. There's going to be small tweaks that make it better for the edge. You're gonna see a lot of iron at the edge, obviously for power consumption purposes, and you're also going to see different constructs for networking. We're not going to use the traditional networking, probably a lot more software to find stuff. Same thing on the storage. They're going to try and >>minimise the persistent >>storage to the smallest footprint possible. But ultimately I think we're gonna see containers >>will lead >>the edge. We're seeing this now. We have a I probably can't name them, but we have a large retail organisation that is running containers in every single store with a small, persistent footprint of the point of sale and local data, but that what >>is running the actual >>system is containers, and it's completely ephemeral. So we were >>at Red Hat, I was saying >>earlier last week, and I'd say half 40 50% of the conversation was edge open shift, obviously >>playing a big role there. I >>know doing work with Rancher and Town Zoo. And so there's a lot of options there. >>But obviously, open shift has >>strong momentum in the >>marketplace. >>I've been dominating. You want to chime in? No, I'm just No, >>I yeah, I know. Sometimes >>I'll sit here like a sponge, which isn't my job absorbing stuff. I'm just fascinated by the whole concept of of a >>of a portable format for data that encapsulates virtual machines and or instances that can live in the containerised world. And once you once you create that common denominator, that's really that's >>That's the secret sauce >>for what you're talking about is a super club and what's been fascinating to watch because I've been paying attention since the beginning. You go from simply V. M. F s and here it is. And by the way, the pitch to E. M. C. About buying VM ware. It was all about reducing servers to files that can be stored on storage arrays. All of a sudden, the light bulbs went off. We can store those things, and it just began. It became it became a marriage afterwards. But to watch that progression that you guys have gone from from that fundamental to all of the other areas where now you've created this common denominator layer has has been amazing. So my question is, What's the singer? What doesn't work? Where the holes. You don't want to look at it from a from a glass half empty perspective. What's the next opportunity? We've talked about edge, but what are the things that you need to fill in to make this truly ubiquitous? Well, there's a lot of services out there that we're not protecting. To be fair, right, we do. Microsoft 3 65. We announced sales for us, but there's a dozen other paths services that >>people are moving data >>into. And until >>we had data protection >>for the assassin path services, you know >>you have to figure out how >>to protect them. Now here's the kicker about >>those services. >>Most of them have the >>ability to dump date >>out. The trick is, do they have the A >>P? I is needed to put data >>back into it right, >>which is which is a >>gap. As an industry, we need to address this. I actually think we need a common >>framework for >>how to manage the >>export of data, but also the import of data not at a at a system level, but at an atomic level of the elements within those applications. >>So there are gaps >>there at the industry, but we'll fill them >>if you look on the >>infrastructure side. We've done a lot with containers and kubernetes. I think there's a next wave around server list. There's still servers and these micro services, but we're making things smaller and smaller and smaller, and there's going to be an essential need to protect those services as well. So modern data protection is something that's going to we're gonna need modern data protection five years from now, the modern will just be different. Do you ever see the day, Danny, where governance becomes an >>adjacency opportunity for >>you guys? It's clearly an opportunity even now if you look, we spent a lot of time talking about security and what you find is when organisations go, for example, of ransomware insurance or for compliance, they need to be able to prove that they have certifications or they have security or they have governance. We just saw transatlantic privacy >>packed only >>to be able to prove what type of data they're collecting. Where are they storing it? Where are they allowed to recovered? And yes, those are very much adjacency is for our customers. They're trying to manage that data. >>So given that I mean, >>am I correct that architecturally you are, are you location agnostic? Right. We are a location agnostic, and you can actually tag data to allowable location. So the big trend that I think is happening is going to happen in in this >>this this decade. >>I think we're >>scratching the surface. Is this idea >>that, you know, leave data where it is, >>whether it's an S three >>bucket, it could be in an Oracle >>database. It could be in a snowflake database. It can be a data lake that's, you know, data, >>bricks or whatever, >>and it stays where >>it is. And it's just a note on the on the call of the data >>mesh. Not my term. Jim >>Octagon coined that term. The >>problem with that, and it puts data in the hands of closer to the domain experts. The problem with that >>scenario >>is you need self service infrastructure, which really doesn't exist today anyway. But it's coming, and the big problem is Federated >>computational >>governance. How do I automate that governance so that the people who should have access to that it can have access to that data? That, to me, seems to be an adjacency. It doesn't exist except in >>a proprietary >>platform. Today. There needs to be a horizontal >>layer >>that is more open than anybody >>can use. And I >>would think that's a perfect opportunity for you guys. Just strategically it is. There's no question, and I would argue, Dave, that it's actually >>valuable to take snapshots and to keep the data out at the edge wherever it happens to be collected. But then Federated centrally. It's why I get so excited by an exhibit of data this year going into the cloud, because then you're centralising the aggregation, and that's where you're really going to drive the insights. You're not gonna be writing tensorflow and machine learning and things on premises unless you have a lot of money and a lot of GPS and a lot of capacity. That's the type of thing that is actually better suited for the cloud. And, I would argue, better suited for not your organisation. You're gonna want to delegate that to a third party who has expertise in privacy, data analysis or security forensics or whatever it is that you're trying to do with the data. But you're gonna today when you think about AI. We talked about A. I haven't had a tonne of talk about AI some >>appropriate >>amount. Most of the >>AI today correct me if you think >>this is not true is modelling that's done in the cloud. It's dominant. >>Don't >>you think that's gonna flip when edge >>really starts to take >>off where it's it's more real time >>influencing >>at the edge in new use cases at the edge now how much of that data >>is going to be >>persisted is a >>point of discussion. But what >>are your thoughts on that? I completely agree. So my expectation of the way >>that this will work is that >>the true machine learning will happen in the centralised location, and what it will do is similar to someone will push out to the edge the signatures that drive the inferences. So my example of this is always the Tesla driving down the road. >>There's no way that that >>car should be figuring it sending up to the cloud. Is that a stop sign? Is it not? It can't. It has to be able to figure out what the stop sign is before it gets to it, so we'll do the influencing at the edge. But when it doesn't know what to do with the data, then it should send it to the court to determine, to learn about it and send signatures back out, not just to that edge location, but all the edge locations within the within the ecosystem. So I get what you're saying. They might >>send data back >>when there's an anomaly, >>or I always use the example of a deer running in front of the car. David Floyd gave me that one. That's when I want to. I do want to send the data back to the cloud because Tesla doesn't persist. A tonne of data, I presume, right, right less than 5% of it. You know, I want to. Usually I'm here to dive into the weeds. I want kind of uplevel this >>to sort of the >>larger picture. From an I T perspective. >>There's been a lot of consolidation going on if you divide the >>world into vendors >>and customers. On the customer side, there are only if there's a finite number of seats at the table for truly strategic partners. Those get gobbled up often by hyper >>scale cloud >>providers. The challenge there, and I'm part of a CEO accreditation programme. So this >>is aimed at my students who >>are CEOs and CIOs. The challenge is that a lot of CEOs and CIOs on the customer side don't exhaustively drag out of their vendor partners like a theme everything that Saveem >>can do for >>them. Maybe they're leveraging a point >>solution, >>but I guarantee you they don't all know that you've got cast in in the portfolio. Not every one of them does yet, let alone this idea of a super >>cloud and and and >>how much of a strategic role you can play. So I don't know if it's a blanket admonition to folks out there, but you have got to leverage the people who are building the solutions that are going to help you solve problems in the business. And I guess, as in the form of >>a question, >>uh, do you Do you see that as a challenge? Now those the limited number of seats at >>the Table for >>Strategic Partners >>Challenge and >>Opportunity. If you look at the types of partners that we've partnered with storage partners because they own the storage of the data, at the end of the day, we actually just manage it. We don't actually store it the cloud partners. So I see that as the opportunity and my belief is I thought that the storage doesn't matter, >>but I think the >>organisation that can centralise and manage that data is the one that can rule the world, and so >>clearly I'm a team. I think we can do amazing things, but we do have key >>strategic partners hp >>E Amazon. You heard >>them on stage yesterday. >>18 different >>integrations with AWS. So we have very strategic partners. Azure. I go out there all the time. >>So there >>you don't need to be >>in the room at the table because your partners are >>and they have a relationship with the customer as well. Fair enough. But the key to this it's not just technology. It is these relationships and what is possible between our organisations. So I'm sorry to be >>so dense on this, but when you talk about >>centralising that data you're talking about physically centralising it or can actually live across clouds, >>for instance. But you've got >>visibility and your catalogues >>have visibility on >>all that. Is that what you mean by centralised obliterated? We have understanding of all the places that lives, and we can do things with >>it. We can move it from one >>cloud to another. We can take, you know, everyone talks about data warehouses. >>They're actually pretty expensive. >>You got to take data and stream it into this thing, and there's a massive computing power. On the other hand, we're >>not like that. You've storage on there. We can ephemeral e. Spin up a database when you need it for five minutes and then destroy it. We can spin up an image when you need it and then destroy it. And so on your perspective of locations. So irrespective of >>location, it doesn't >>have to be in a central place, and that's been a challenge. You extract, >>transform and load, >>and moving the data to the central >>location has been a problem. We >>have awareness of >>all the data everywhere, >>and then we can make >>decisions as to what you >>do based >>on where it is and >>what it is. And that's a metadata >>innovation. I guess that >>comes back to the catalogue, >>right? Is that correct? >>You have data >>about the data that informs you as to where it is and how to get to it. And yes, so metadata within the data that allows you to recover it and then data across the federation of all that to determine where it is. And machine intelligence plays a role in all that, not yet not yet in that space. Now. I do think there's opportunity in the future to be able to distribute storage across many different locations and that's a whole conversation in itself. But but our machine learning is more just on helping our customers address the problems in their infrastructures rather than determining right now where that data should be. >>These guys they want me to break, But I'm >>refusing. So your >>Hadoop back >>in their rooms via, um that's >>well, >>that scale. A lot of customers. I talked to Renee Dupuis. Hey, we we got there >>was heavy lift. You >>know, we're looking at new >>ways. New >>approaches, uh, going. And of course, it's all in the cloud >>anyway. But what's >>that look like? That future look like we haven't reached bottle and X ray yet on our on our Hadoop clusters, and we do continuously examine >>them for anomalies that might happen. >>Not saying we won't run into a >>bottle like we always do at some >>point, But we haven't yet >>awesome. We've covered a lot of We've certainly covered extensively the research that you did on cyber >>security and ransomware. Um, you're kind of your vision for modern >>data protection. I think we hit on that pretty well casting, you know, we talked to Michael about that, and then, you know, the future product releases the Salesforce data protection. You guys, I think you're the first there. I think you were threatened at first from Microsoft. 3 65. No, there are other vendors in the in the salesforce space. But what I tell people we weren't the first to do data capture at the hyper >>visor level. There's two other >>vendors I won't tell you they were No one remembers them. Microsoft 3 65. We weren't the first one to for that, but we're now >>the largest. So >>there are other vendors in the salesforce space. But we're looking at We're going to be aggressive. Danielle, Thanks >>so much for coming to Cuba and letting us pick your brain like that Really great job today. And congratulations on >>being back >>in semi normal. Thank you for having me. I love being on all right. And thank you for watching. Keep it right there. More coverage. Day volonte for Dave >>Nicholson, By >>the way, check out silicon angle dot com for all the written coverage. All the news >>The cube dot >>net is where all these videos We'll we'll live. Check out wiki bond dot com I published every week. I think I'm gonna dig into the cybersecurity >>research that you guys did this week. If I can >>get a hands my hands on those charts which Dave Russell promised >>me, we'll be right back >>right after this short break. Mm.

>>mhm. Welcome back to Boston. This is the cubes coverage of the Red Hat Summit 2022. The first Red Hat Summit we've done face to face in at least two years. 2019 was our last one. We're kind of rounding the far turn, you know, coming up for the home stretch. My name is Dave Valentin here with Paul Gillon. A J monger is here is a senior director of Iot. The Iot group for developer solutions and engineering at Intel. AJ, thanks for coming on the Cube. Thank you so much. We heard your colleague this morning and the keynote talking about the Dev Cloud. I feel like I need a Dev Cloud. What's it all about? >>So, um, we've been, uh, working with developers and the ecosystem for a long time, trying to build edge solutions. A lot of time people think about it. Solutions as, like, just computer the edge. But what really it is is you've got to have some component of the cloud. There is a network, and there is edge and edge is complicated because of the variety of devices that you need. And when you're building a solution, you got to figure out, like, where am I going to push the computer? How much of the computer I'm going to run in the cloud? How much of the computer? I'm gonna push it at the network and how much I need to run it at the edge. A lot of times what happens for developers is they don't have one environment where all of the three come together. And so what we said is, um, today the way it works is you have all these edge devices that customers by the instal, they set it up and they try to do all of that. And then they have a cloud environment they do to their development. And then they figure out how all of this comes together. And all of these things are only when they are integrating it at the customer at the solution space is when they try to do it. So what we did is we took all of these edge devices, put it in the cloud and gave one environment for cloud to the edge. Very good to your complete solution. >>Essentially simulates. >>No, it's not >>simulating span. So the cloud spans the cloud, the centralised cloud out to the edge. You >>know, what we did is we took all of these edge devices that will theoretically get deployed at the edge like we took all these variety of devices and putting it put it in a cloud environment. So these are non rack mountable devices that you can buy in the market today that you just have, like, we have about 500 devices in the cloud that you have from atom to call allusions to F. P. G s to head studio cards to graphics. All of these devices are available to you. So in one environment you have, like, you can connect to any of the cloud the hyper scholars, you could connect to any of these network devices. You can define your network topology. You could bring in any of your sources that is sitting in the gate repository or docker containers that may be sitting somewhere in a cloud environment, or it could be sitting on a docker hub. You can pull all of these things together, and we give you one place where you can build it where you can test it. You can performance benchmark it so you can know when you're actually going to the field to deploy it. What type of sizing you need. So >>let me show you, understand? If I want to test, uh, an actual edge device using 100 gig Ethernet versus an Mpls versus the five G, you can do all that without virtualizing. >>So all the H devices are there today, and the network part of it, we are building with red hat together where we are putting everything on this environment. So the network part of it is not quite yet solved, but that's what we want to solve. But the goal is here is you can let's say you have five cameras or you have 50 cameras with different type of resolutions. You want to do some ai inference type of workloads at the edge. What type of compute you need, what type of memory you need, How many devices do you need and where do you want to push the data? Because security is very important at the edge. So you gotta really figure out like I've got to secure the data on flight. I want to secure the data at Brest, and how do you do the governance of it. How do you kind of do service governance? So that all the services different containers that are running on the edge device, They're behaving well. You don't have one container hogging up all the memory or hogging up all the compute, or you don't have, like, certain points in the day. You might have priority for certain containers. So all of these mortals, where do you run it? So we have an environment that you could run all of that. >>Okay, so take that example of AI influencing at the edge. So I've got an edge device and I've developed an application, and I'm going to say Okay, I want you to do the AI influencing in real time. You got something? They become some kind of streaming data coming in, and I want you to persist, uh, every hour on the hour. I want to save that time stamp. Or if the if some event, if a deer runs across the headlights, I want you to persist that day to send that back to the cloud and you can develop that tested, benchmark >>it right, and then you can say that. Okay, look in this environment I have, like, five cameras, like at different angles, and you want to kind of try it out. And what we have is a product which is into, um, open vino, which is like an open source product, which does all of the optimizations you need for age in France. So you develop the like to recognise the deer in your example. I developed the training model somewhere in the cloud. Okay, so I have, like, I developed with all of the things have annotated the different video streams. And I know that I'm recognising a deer now. Okay, so now you need to figure out Like when the deer is coming and you want to immediately take an action. You don't want to send all of your video streams to the cloud. It's too expensive. Bandwidth costs a lot. So you want to compute that inference at the edge? Okay. In order to do that inference at the edge, you need some environment. You should be able to do it. And to build that solution What type of age device do you really need? What type of compute you need? How many cameras are you computing it? What different things you're not only recognising a deer, probably recognising some other objects could do all of that. In fact, one of the things happened was I took my nephew to San Diego Zoo and he was very disappointed that he couldn't see the chimpanzees. Uh, that was there, right, the gorillas and other things. So he was very sad. So I said, All right, there should be a better way. I saw, like there was a stream of the camera feed that was there. So what we did is we did an edge in friends and we did some logic to say, At this time of the day, the gorillas get fed, so there's likelihood of you actually seeing the gorilla is very high. So you just go at that point and so that you see >>it, you >>capture, That's what you do, and you want to develop that entire solution. It's based on whether, based on other factors, you need to bring all of these services together and build a solution, and we offer an environment that allows you to do it. Will >>you customise the the edge configuration for the for the developer If if they want 50 cameras. That's not You don't have 50 cameras available, right? >>It's all cameras. What we do is we have a streaming capability that we support so you can upload all your videos. And you can say I want to now simulate 50 streams. Want to simulate 30 streams? Or I want to do this right? Or just like two or three videos that you want to just pull in. And you want to be able to do the infant simultaneously, running different algorithms at the edge. All of that is supported, and the bigger challenge at the edge is developing. Solution is fine. And now when you go to actual deployment and post deployment monitoring, maintenance, make sure that you're like managing it. It's very complicated. What we have seen is over 50% 51% to be precise of developers are developed some kind of a cloud native applications recently, right? So that we believe that if you bring that type of a cloud native development model to the edge, then you're scaling problem. Your maintenance problem, you're like, how do you actually deploy it? All of these challenges can be better managed, Um, and if you run all of that is an orchestration later on kubernetes and we run everything on top of open shift, so you have a deployment ready solution already there it's everything is containerised everything. You have it as health charged Dr Composed. You have all their you have tested and in this environment, and now you go take that to the deployment. And if it is there on any standard kubernetes environment or in an open ship, you can just straight away deploy your application. >>What's that edge architecture looked like? What's Intel's and red hats philosophy around? You know what's programmable and it's different. I know you can run a S, a p a data centre. You guys got that covered? What's the edge look like? What's that architecture of silicon middleware? Describe that for us. >>So at the edge, you think about it, right? It can run traditional, Uh, in an industrial PC. You have a lot of Windows environment. You have a lot of the next. They're now in a in an edge environment. Quite a few of these devices. I'm not talking about Farage where there are tiny micro controllers and these devices I'm talking about those devices that connect to these forage devices. Collect the data. Do some analytics do some compute that type of thing. You have foraged devices. Could be a camera. Could be a temperature sensor. Could be like a weighing scale. Could be anything. It could be that forage and then all of that data instead of pushing all the data to the cloud. In order for you to do the analysis, you're going to have some type of an edge set of devices where it is collecting all this data, doing some decisions that's close to the data. You're making some analysis there, all of that stuff, right? So you need some analysis tools, you need certain other things. And let's say that you want to run like, UH, average costs or rail or any of these operating systems at the edge. Then you have an ability for you to manage all of that. Using a control note, the control node can also sit at the edge. In some cases, like in a smart factory, you have a little data centre in a smart factory or even in a retail >>store >>behind a closet. You have, like a bunch of devices that are sitting there, correct. And those devices all can be managed and clustered in an environment. So now the question is, how do you deploy applications to that edge? How do you collect all the data that is sitting through the camera? Other sensors and you're processing it close to where the data is being generated make immediate decisions. So the architecture would look like you have some club which does some management of this age devices management of this application, some type of control. You have some network because you need to connect to that. Then you have the whole plethora of edge, starting from an hybrid environment where you have an entire, like a mini data centre sitting at the edge. Or it could be one or two of these devices that are just collecting data from these sensors and processing it that is the heart of the other challenge. The architecture varies from different verticals, like from smart cities to retail to healthcare to industrial. They have all these different variations. They need to worry about these, uh, different environments they are going to operate under, uh, they have different regulations that they have to look into different security protocols that they need to follow. So your solution? Maybe it is just recognising people and identifying if they are wearing a helmet or a coal mine, right, whether they are wearing a safety gear equipment or not, that solution versus you are like driving in a traffic in a bike, and you, for safety reasons. We want to identify the person is wearing a helmet or not. Very different use cases, very different environments, different ways in which you are operating. But that is where the developer needs to have. Similar algorithms are used, by the way, but how you deploy it very, quite a bit. >>But the Dev Cloud make sure I understand it. You talked about like a retail store, a great example. But that's a general purpose infrastructure that's now customised through software for that retail environment. Same thing with Telco. Same thing with the smart factory, you said, not the far edge, right, but that's coming in the future. Or is that well, that >>extends far edge, putting everything in one cloud environment. We did it right. In fact, I put some cameras on some like ipads and laptops, and we could stream different videos did all of that in a data centre is a boring environment, right? What are you going to see? A bunch of racks and service, So putting far edge devices there didn't make sense. So what we did is you could just have an easy ability for you to stream or connect or a Plourde This far edge data that gets generated at the far edge. Like, say, time series data like you can take some of the time series data. Some of the sensor data are mostly camera data videos. So you upload those videos and that is as good as your streaming those videos. Right? And that means you are generating that data. And then you're developing your solution with the assumption that the camera is observing whatever is going on. And then you do your age inference and you optimise it. You make sure that you size it, and then you have a complete solution. >>Are you supporting all manner of microprocessors at the edge, including non intel? >>Um, today it is all intel, but the plan, because we are really promoting the whole open ecosystem and things like that in the future. Yes, that is really talking about it, so we want to be able to do that in the future. But today it's been like a lot of the we were trying to address the customers that we are serving today. We needed an environment where they could do all of this, for example, and what circumstances would use I five versus i nine versus putting an algorithm on using a graphics integrated graphics versus running it on a CPU or running it on a neural computer stick. It's hard, right? You need to buy all those devices you need to experiment your solutions on all of that. It's hard. So having everything available in one environment, you could compare and contrast to see what type of a vocal or makes best sense. But it's not >>just x 86 x 86 your portfolio >>portfolio of F. P. G s of graphics of like we have all what intel supports today and in future, we would want to open it up. So how >>do developers get access to this cloud? >>It is all free. You just have to go sign up and register and, uh, you get access to it. It is difficult dot intel dot com You go there, and the container playground is all available for free for developers to get access to it. And you can bring in container workloads there, or even bare metal workloads. Um, and, uh, yes, all of it is available for you >>need to reserve the endpoint devices. >>Comment. That is where it is. An interesting technology. >>Govern this. Correct. >>So what we did was we built a kind of a queuing system. Okay, So, schedule, er so you develop your application in a controlled north, and only you need the edge device when you're scheduling that workload. Okay, so we have this scheduling systems, like we use Kafka and other technologies to do the scheduling in the container workload environment, which are all the optimised operators that are available in an open shift, um, environment. So we regard those operators. Were we installed it. So what happens is you take your work, lord, and you run it. Let's say on an I seven device, when you're running that workload and I summon device, that device is dedicated to you. Okay, So and we've instrumented each of these devices with telemetry so we could see at the point your workload is running on that particular device. What is the memory looking like power looking like How hard is the device running? What is a compute looking like? So we capture all that metrics. Then what you do is you take it and run it on a 99 or run it on a graphic, so can't run it on an F p g a. Then you compare and contrast. And you say Huh? Okay for this particular work, Lord, this device makes best sense. In some cases, I'll tell you. Right, Uh, developers have come back and told me I don't need a bigger process that I need bigger memory. >>Yeah, sure, >>right. And some cases they've said, Look, I have I want to prioritise accuracy over performance because if you're in a healthcare setting, accuracy is more important. In some cases, they have optimised it for the size of the device because it needs to fit in the right environment in the right place. So every use case where you optimise is up to the solution up to the developer, and we give you an ability for you to do that kind >>of folks are you seeing? You got hardware developers, you get software developers are right, people coming in. And >>we have a lot of system integrators. We have enterprises that are coming in. We are seeing a lot of, uh, software solution developers, independent software developers. We also have a lot of students are coming in free environment for them to kind of play with in sort of them having to buy all of these devices. We're seeing those people. Um I mean, we are pulling through a lot of developers in this environment currently, and, uh, we're getting, of course, feedback from the developers. We are just getting started here. We are continuing to improve our capabilities. We are adding, like, virtualisation capabilities. We are working very closely with red hat to kind of showcase all the goodness that's coming out of red hat, open shift and other innovations. Right? We heard, uh, like, you know, in one of the open shift sessions, they're talking about micro shifts. They're talking about hyper shift, the talking about a lot of these innovations, operators, everything that is coming together. But where do developers play with all of this? If you spend half your time trying to configure it, instal it and buy the hardware, Trying to figure it out. You lose patience. What we have time, you lose time. What is time and it's complicated, right? How do you set up? Especially when you involve cloud. It has network. It has got the edge. You need all of that right? Set up. So what we have done is we've set up everything for you. You just come in. And by the way, not only just that what we realised is when you go talk to customers, they don't want to listen to all our optimizations processors and all that. They want to say that I am here to solve my retail problem. I want to count the people coming into my store, right. I want to see that if there is any spills that I recognise and I want to go clean it up before a customer complaints about it or I have a brain tumour segmentation where I want to identify if the tumour is malignant or not, right and I want to telehealth solutions. So they're really talking about these use cases that are talking about all these things. So What we did is we build many of these use cases by talking to customers. We open sourced it and made it available on Death Cloud for developers to use as a starting point so that they have this retail starting point or they have this healthcare starting point. All these use cases so that they have all the court we have showed them how to contain arise it. The biggest problem is developers still don't know at the edge how to bring a legacy application and make it cloud native. So they just wrap it all into one doctor and they say, OK, now I'm containerised got a lot more to do. So we tell them how to do it, right? So we train these developers, we give them an opportunity to experiment with all these use cases so that they get closer and closer to what the customer solutions need to be. >>Yeah, we saw that a lot with the early cloud where they wrapped their legacy apps in a container, shove it into the cloud. Say it's really hosting a legacy. Apps is all it was. It wasn't It didn't take advantage of the cloud. Never Now people come around. It sounds like a great developer. Free resource. Take advantage of that. Where do they go? They go. >>So it's def cloud dot intel dot com >>death cloud dot intel dot com. Check it out. It's a great freebie, AJ. Thanks very much. >>Thank you very much. I really appreciate your time. All right, >>keep it right there. This is Dave Volonte for Paul Dillon. We're right back. Covering the cube at Red Hat Summit 2022. >>Mhm. Yeah. Mhm. Mm.

>>mhm. Hello and welcome to the cubes Ducker con coverage. I'm John Ferry, host of the Cube. We've got a great segment here with slim dot AI CEO John Amaral. Stealth mode, SAS Company. Start up in the devops space with tools today and open source around. Supply chain security with containers closed beta with developers. John, Thanks for coming on. Congratulations for being platinum sponsor here, Dr Khan. Thanks for coming on The Cube. >>Thanks so much on my pleasure. >>You know, container analysis, management optimisation. You know, that's super important. But security is at the centre of all the action we're seeing with containers. We've been talking shift left on a lot of cube conversations. What that means? Is it an outcome? Is that the product software supply chain? You seek them? A secure where malware. All these things are part of now the new normal in cloud Native. You guys at the centre of this, the surface areas change. All these things are important. Take a minute to explain what you guys are doing as a as a tools and open source. Some of the things you're doing, I know you got a stealth mode product. You probably can't talk about. But you gotta close, Beta. Can you give us a little bit of a teaser? What slim dot ai about >>sure. So someday I is about helping developers build secure containers fast, and that really plays to a few trends in the marketplace that are really apparent and important right now in a federal mandate and a bunch of really highly publicised breaches that have all been caused by software supply, chain risks and security and software supply, chain security has become a really top of mind concept for people who secure things and people who develop software and runs. SAS so slim that AI has built a bunch of capabilities and tools that allow software developers at their desks to better understand and build secure containers that really reduce software supply. Chain risk as you think about containers being run in production. And we do three things to help developers one, as we help them know everything about their software. It's a kind of a core concept of suffering supply chain security. Just know what software is in your containers to. Another core concept is only ship to production. What you need to run. That's all about risk surface and the ability for you to easily make a container small that has as much a software reduction in it as possible. And three, it's removed as many vulnerabilities as possible to Slim Toolset. Both are open source and our SAS data platform make that easy for developers to do >>so. Basically, you have a nice, clean, secure environment. Know what's in there. Don't only put in production was needed and make sure it's tight and it's trimmed down perfectly. So you're kind of teasing out this concept of slimming, which is in the name of the company. But it really is about surface area of attack around containers and super important as it becomes more and more prominent in the environment these days. What is container slimming and why is it important for supply chain security? >>Sure. So in the in the in the realm of software supply chain security, best practises right, there are three core concepts. One is the idea of an S bahn that you should know the inventory of all the software that runs in your world to its security posture, signing containers, making sure that the authenticity of the software that you use and production is well understood. And the third is, well, managing exactly what shopper you ship. The first two things I said are simply just inventory and basics about knowing what software you have. But no one answers the question. What software do I need? So I run a container and say, It's a gig and it's got all these packages in. It comes from the operating system from note, etcetera. It's got all this stuff in it. I know the parts that I write my code to. But all that other stuff, what is it? Why is it there? What's the risk in it? That slimming part is all about managing the list of things you actually shipped to the absolute minimum and with confidence that you know that that code will actually work when it gets production but be as small as possible. That's what slimming is all about, and it really reduces supply chain risk by lowering the attack surface in your container, but also trimming your supply chain to only the minimum pieces you need, which really causes a lot of improvements in in the operational overhead of having software supply chain security >>It's interesting as you get more more volume and velocity around containers, uh, and automation kicks in. Sometimes things are turning on and off you don't even know. And shift left has been a great trend for getting in the CI CD pipeline for developer productivity. Really cool. What are some of the consequences that's going on with this? Because then you start to get into some of these areas like some stuff happens that the developers have to come shift back and can take care of stuff. So, you know, C. Tus and CSOs are really worried about this container dynamic. What's the What's the new thing that's causing the problems here? What's the issue around the management that CDOs and CDOs care about? >>Sure. And I'll talk about the shift left implications as well for that exact point. So as you start to worry about software supply, chain security and get a handle on all the software you ship to prod well, part of that is knowledge is power. But it's also, um, risk and work as soon as I know about problems with my containers or the risk surface, and I got to do something about it so we're really getting into the age where everyone has to know about the software they ship. As soon as you know about that, say there's a vulnerability or a package that's a little risky or some surface area you don't really understand. The only place that can be evaded is by going back to the developers and asking them. What is that? How do I remove it? Please do that work. So the software supply chain security knowledge turns into developer security work. Now the problem is, is that historically, the knowledge was imperfect, and the developer, you know, involvement in that was, I'd say, at Hawk, meaning that developers had best practises that did the best they could. But the scrutiny we have now on minimising this kind of risk is really high. The beautiful part about containers is their portable, and it's an easily transferrable piece of software. So you have a lot of producers and a lot of consumers of containers. Consumers of containers that care about supply chain risk are now starting to push back on, producers saying, Take those vulnerabilities out, move those packages, make this thing more secure, lower the risk profile this works its way all the way back to the developers who don't really have the tools, capabilities and automation is to do the work I just described easily, and that's an opportunity that Slim is really addressing, making it easy for developers to remove risk. >>And that's really the consequences of shifting left without having the slimming. Because what you're saying is your shift left and that's kind of annulled out because you've got to go back and fix it. The work comes, >>that's right. And yeah, and it's not an easy task for a developer to understand the code that they didn't intentionally put in the container. It's like, Okay, there's a package in that operating system. What does it do? I don't know. Do I even use it? I don't know. So there's like tonnes of analytic and I would say even optimisation questions and work to be done, but they're just not equipped to, because the tooling for that is really immature Slims on a mission to make that really easy for them and do it automatically so they don't have to think about it. We just automatically remove stuff you don't use and voila! You've got this like perfectly pre optimised capability. >>You know, this suffer supply chain is huge, and I remember when open source started when I remember when I was breaking into the business. Now it's such a height in such an escalation of new developers. This it's a real issue that that's going to be resolved. It has to be because supply chain is part of open source, right? As more code comes in, you got to verify. You gotta make sure it's it's slimming where it needs to be slim and optimised. There needs to be optimised, huge trend. Um and so I just love this area. I think it's really innovative and needed. So congratulations on that, you know, have one more question for you before we get into to close out. Um, you guys are part of the Docker Extensions launch and your partner, >>Why >>is this important to participate in this programme and and what do you guys hope to hope it does for slim dot ai, >>First of all, doctors, the ubiquitous platform, their hub has millions and millions of containers. We've got millions and millions of developers using Docker desktop to actually build and work on containers. It's like literally the sandbox for all local work for building containers. It's a fair statement. So inclusion in Dr Khan and the relationship we're building with Docker is really important for developers and that we're bringing these capabilities to the place where developers work and live every day. It's where all the containers live in the world. So we want to have our technology be easy to use with docker tools. We want to keep developers workflows and systems and and tools of record be the same. We just want to help them use those tools better and optimist outputs. From that we've we've worked since our inception to make our tools really, really friendly for darker and darker environments to, um, we are building a doctor extension. Uh, they have, uh, in this darker con. They're launching their doctor extensions programme to the worldwide audience. We have been one of the lucky Cos that's been selected to build one of the early Dr desktop plug ins. It's derived from our capabilities and our Saas platform and an open source, and it's it's effectively an MRI machine, an awesome analytic tool that allows any developer to really understand the composition, security and profile of any container they work with. So it's giving the sight to the blind, so to speak, that it's this new tool to make container analysis easy. >>Well, John, you guys got a great opportunity. Container analysis, management, optimisation key to security, enabling it and maintaining and sustaining it. And it's changing. I know you guys. Your co founder also did a doctor Slim. So you guys are deep in the open source. I Congratulations on that. We'll see a Q. Khan for the remaining time. We have give a plug for the company, obviously in stealth mode price going to come out later this year. You got a developer preview? What's What's the company all about? What's the most important story here? Dr. Khan? >>Sure, just to playback. So we help developers do three important things. Know everything about the software in their containers to only ship stuff to production that you need, and and and three remove as many vulnerabilities as possible. That's really about managing and understanding the risk surface. It ties right back to software supply chain security, and any developer can use these tools today to emit and build containers that are more secure and better production grade containers, and it's easy to do. We have an open source project called Dioxin. Go check it out. Uh, it's not. It's on git Hub. It's easy to find if you go to w w w dot slim that ai you can find access to that. We have tens of thousands of developers, 500,000 plus downloads. We have developers everywhere using those tools today and open source to do the objectives. I just said You can also easily sign up for our data for our Saas platform, you can use the doctor extension, go ahead and do that and really get on your journey to make those outcomes reality for you. And really kind of make those SEC ops people downstream not have to shift anything left. It's super easy for you to be a great participant in software slash insecurity. >>All right. John Amaral, CEO slim dot ai Stealth. Most thanks for coming The Cube Cube coverage of Dr Khan. Thanks for watching. I'm John Kerry hosted the Cube back to more Dr Khan after the short break. Mhm mhm

>> the CUBE presents Dell Technologies World brought to you by Dell. >> Hey everyone, welcome back to the CUBE'S coverage day one, Dell Technologies World 2022 live from The Venetian in Las Vegas. Lisa Martin, with Dave Vellante. We've been here the last couple of hours. You can hear probably the buzz behind me. Lots of folks here, we're think around seven to eight thousand folks in this solution expo, the vibe is awesome. We've got two guests helping to round out our day one coverage. Ryan Fournier joins us, senior director of product management Edge Solutions at Dell Technologies. And MuneyB Minttazuddin vice president of Edge Computing at VMware. Guys, welcome to the program. >> Oh, glad to be here. >> Yeah. >> Isn't it great to be here in person? >> Oh man, yes. >> The vibe, the vibe of day one is awesome. >> Yes. >> Oh yeah. >> I think it's fantastic. >> Like people give energy off to each other, right? >> Absolutely. So lots of some good news coming out today so far on day one. Let's talk about, Ryan let's start with you. With Edge, it's not new. We've been talking about it for a while, but what are some of the things that are new? What are some of the key trends that you are seeing that are driving changes at the Edge? >> Great, good question. We've been talking to a lot of customers. Okay, a lot of the customers you know, the different verticals really find that is a common theme happening around a massive digital transformation and really based on the pandemic, okay. Which caused some acceleration in some, but also not, but many are kind of laggers left behind. And one primary reason is the culture of the OT, IT, you know, lack of barriers or something like that. The OT is obviously the business outcomes, okay. Focused where the IT is more enabling the function and it'll take retail. For example, that's accelerated a significant usage of an in-store frictionless experience, okay. As well as supply chain automation, warehousing logistics, connected inventory, a lot of the new use cases in this new normal post that pandemic. It's really that new retail operating landscape. >> Consumers we are so demanding, we want the same experience that we have online and we want that in the store and that's really driving a lot of this out of consumer demand. >> Oh yeah, no. I think, you know, retail you know, the way you shop for milk and bread change during the pandemic, right? There was pre-pandemic. The online shopping in the United States was only 5%, but during the pandemic and afterwards that's going to caught up to 25, 30%. That's huge. How do you bring new processes in? How do you create omnichannel consumer experiences where online well as physical are blended together? Becomes a massive challenge for the retailers. So yes, Edge has been there for a long time. Innovation hasn't happened, but a simple credit card swipe When you used to pre-pandemic, just to go do your checkout now has become into a curbside pickup. Integration with like, it's just simple payment card processing is not complicated like, you know, crazy. So people are forced to go in a way and that's happening in manufacturing because they're supply chain issues, could be not. So a lot of that has accelerated this investment and what's kind of driving Edge Computing is if everything ran out of the cloud, then you almost need infinite bandwidth. So suddenly people are realizing that everything runs out of cloud. I can't process my video analytics in a store. That's a lot of video, right? >> So we often ask ourselves, okay, who's going to win the edge? You know, we have that conversation. The cloud guys? VMware? You know, Dell? How are they going to go at it? And so to your point, you're not going to do a round trip to the cloud too expensive, too slow. Now cloud guys will try to bring their cloud basically on prem or out to the edge. You're kind of bringing it from the data center. So how do you see that evolution? >> No, great question. As the edge market happens, right? So there's market data now which says enterprise edge workloads in the next five years are going to be the fastest growing workloads. But then you have different communities coming to solve that problem. Like you just said, John is, you know, hyperscalers are going, Hey, all of the new workloads were built on us, let's bring them to the edge. Data center workloads move to the edge. >> Now important community here are, you know, Telcos and Service Providers because they have assets that are highly distributed at the edge. However, they're networking assets like cell towers and stuff like that. There's opportunity to convert them into computer and storage assets. So you can provide edge computing POPs. So you're seeing a convergence of lot of industry segments, traditional IT, hyperscalers, telcos, and then OT like Ryan pointed out is naturally transforming itself. There's almost this confluence of this pot where all these different technologies need to come together. From VMware and Dell perspective, our mission is a multi-cloud edge. We want to be able to support multi-cloud services because you've heard this multiple times, is at the edge consumers and customers will require services from all the hyperscalers. They don't want buy a one hyperscaler suit to suit solution. They want to mix and match. So not bound. We want be multi-cloud south bound to support IT and OT environments. So that becomes our value proposition in the middle. >> Yep. >> So Ryan, you were talking about that IT, OT schism. And we talk about that a lot. I wonder if you could help us parse that a little bit, because you were using, for instance retail, as an example. Sometimes I think about in the industrial. >> And I think the OT people are kind of like having an engineering mindset. Don't touch my stuff. Kind of like the IT guys too, but different, you know. So there's so much opportunity at the edge. I wonder how you guys think about that? How you segment it? How you prioritize it? Obviously retail telco are big enough. >> Yep. >> That you can get your hands around them, but then there's to your point about all this data that's going to going to compute. It's going to come in pockets. And I wonder how you guys think about that schism and the other opportunity. >> Yeah, out there. It's also a great question, you know, in manufacturing. There's the true OT persona. >> Yeah. >> Okay, and that really is focused on the business outcomes. Things like predictive maintenance use cases, operational equipment effectiveness, like that's really around bottleneck analysis, and the process that go through that. If the plant goes down, they're fine, okay. They can still work on their own systems, but they're not needing that high availability solution. But they're also the decision makers and where to buy the Edge Computing, okay. So we need to talk more to the OT persona from a Dell perspective, okay. And to add on to Ryan, right. So industrial is an interesting challenge, right? So one of the things we did, and this is VMware and Dell working together at vMware it was virtual. We announced something called edge compute stack. And for the first time in 23 years of vMware history, we made the hypervisor layer real-time. >> Yep. >> What that means is in order to capture some of these OT workloads, you need to get in and operate it between the industrial PC and the program of logical controllers at a sub millisecond performance level, because now you're controlling robotic arms that you cannot miss a beat. So we actually created this real time functionality. With that functionality in the last six months, we've been able to virtualize PLCs, IPCs. So what I'm getting at is we're opening up an entire wide space of operational technology workloads, which we was not accessible to our market for the last 20 plus years. >> Now we're talking. >> Yeah. And that allows us that control plane infrastructure to edge compute. There's purpose built for edge allows us to pivot and do other solutions like analytics with the adoption of AI Analytics with our recent announcement of Deep North, okay. That provides that in store video analytics functionality. And then we also partner with PTC based on a manufacturing solution, working with that same edge compute stack. Think of that as that control plane, where again, like I said, you can pivot off a different solutions. Okay, so we leverage PTCs thing works. >> So, okay, great. So I wanted to go to that. So real-time's really interesting. >> 'Cause most of much of AI today is modeling done in the cloud. >> Yes. >> The real opportunity is real time inferencing at the edge. >> You got it. >> Okay, now this is why this gets so interesting. And I wonder if Project Monterey fits into this at all. because I feel like so why did Intel win? Intel won, it crushed all the Unix systems out there because it had PC volumes. And the edge volume's going to dwarf anything we've ever seen before. >> Yeah. >> So I feel like there's this new cocktail, you guys describe this convergence and this mixture and it's unknown. What's going to happen? That's why Project Monterey is so interesting. >> Of course. >> Yeah. >> Right? Because you're bringing together kind of hedging a lot of bets and serving a lot of different use cases. Maybe you could talk about where that might fit here. >> Oh absolutely. So the edge compute stack is made up of vSphere, Tanzu, which is vSphere's you know, VM container and Tanzu's our container technology and vSphere contains Monterey in it, right. And we've added vSAN a for storage at the edge. And connectivity is SD-WAN because a lot of the times it's far location. So you're not having a large footprint, you have one or two hoses, it's more wide area, narrow area. So the edge compute stack supports real-time, non-real-time time workloads. VMs and containers, CPU GPU, right. >> NPU, accelerators, >> NPU, DPU all of them, right. Because what you're dealing with here is that inferencing real time, because to Ryan's point, when you're doing predictive maintenance, you got to pick these signals up in like milliseconds. >> Yes. >> So we've gone our stack down to microseconds and we pick up and inform because if I can save this predictive maintenance in two seconds, I save millions of dollars in you know, wastage of product, right? >> And you may not even persist that data, right? You might just let it go, I mean, how much data does Tesla save? Right? I mean. >> You're absolutely right. A lot of the times, all you're doing is this volume of data coming at you. You're matching it to an inferencing pattern. If it doesn't match, you just drop, right. It's not persistent, but the moment you hit a trigger, immediately everything lights go off, you're login, you're applying outcome. So like super interesting at the edge. >> And the compute is going to go through the roof. So yeah, my premise is that, you know, general purpose x86 running SAP is not going to be the architecture for the edge. >> You're absolutely right. >> Going to be low cost, low power, super performance. 'Cause when you combine the CPU, GPU, NPU, you're going to blow away the performance that we've ever seen on the curves. >> There's also a new application pattern. I've called out something called edge-native applications. We went through this client-server architecture era. We built all this, you know, a very clear in architecture. We went through cloud native where everything was hyperscaled in the cloud. Both of the times we optimize our own compute. >> Yeah. >> At the edge, we got to optimize our owns data because it's not ephemeral compute that you have in hyperscale compute space, you have ephemeral data you got to deal with. So a new nature of application workloads are emerging. We call it edge-native apps. >> Yep. >> And those have very different characteristics, you know, to client server apps or you know, cloud native apps, which is amazing. It's driven by data analysts like developers, not like dot net Java developers. It's actually data analysts who are trying to mine this with fast patents and come out with outcomes, right? >> Yeah, I love that edge-native apps Lisa, that's a new term for me. >> Right, just trademark it on me. I made made it up. (panel laughing) >> Can you guys talk about a joint customer that you've really helped to dramatically transform in the last six months? >> You want to shout or I can go-- >> I think my industry is fine. >> Yeah, yeah. So, you know, at VMworld we talked about Oshkosh, which is again, like in the manufacturing space, we have retailers and manufacturers and we also brought in, you know, Proctor and Gamble and et cetera, et cetera, right? So the customers look at us jointly because you know edge doesn't happen in its own silo. It's a continuum from the data center to the cloud, to the edge, right. There's the continuum exists. So if only edge was in its own silo, you would do things. But the key thing about all of this, there's no right place, it's about that workload placement. Where do I place the workload for the most optimal business outcome? Now for real-time applications, it's at the edge. For non-real-time stuff it could be in the data center, it could be in a cloud. It doesn't really matter, where VMware and Dell strengths comes in with Oshkosh or all of those folks. We have the end-to-end. From you want place it in the data center, You want to place it in your charge to public cloud, You want to derive some of these applications. You want to place it at the far edge, which is a customer prem or a near edge, which is a telco. We've done joint announcements with telcos, like South Dakota Telecom, where we've taken their cell towers and converted them into compute and storage. So they can actually store it at the near edge, right. So this is 5G solutions. I also own the 5G part of the vMware business, but doesn't matter. Compute network storage, we got to find the right mix for placing the workload at the right place. >> You call that the near edge. I think of it as the far edge, but that's what you mean, right? >> Yeah, yeah. >> Way out there in the (mumbles), okay. >> It's all about just optimizing operations, reducing cost, increasing profitability for the customer. >> So you said edge, not its own silo. And I agree. >> it's not a silo. Is mobile a valid sort of example or a little test case because when we developed mobile apps, it drove a lot of things in the data center and in the cloud. Is that a way to think of about it as opposed to like PCs work under their own silo? Yeah, we connect to the internet, but is mobile a reasonable proxy or no? >> Mobile is an interesting proxy. When you think about the application again, you know, you got a platform by the way, you'll get excited by this. We've got mobile developers, mobile device manufacturers. You can count them in your fingers. They want to now have these devices sitting in factory floors because now these devices are so smart. They have sensors, temperature controls. They can act like these multisensory device at the edge, but the app landscape is quite interesting. I think John, where you were going was they have a very thin shim app layer that can be pushed from anywhere. The, the notion of these edge-native applications could be virtual machines, could be containers, could be, you know, this new thing called Web Assembly Wasm, which is a new type of technology, very thin shim layer which is mobile like app layer. But you know, all of these are combination of how these applications may get expressed. The target platforms could be anywhere from mobile devices to IOT gateways, to IOT devices, to servers, to, you know, massive data centers. So what's amazing is this thing can just go everywhere. And our goal is consistent infrastructure, consistent operations across the board. That's where VMware and Dell win together. >> Yeah. >> Yeah, excellent. And I was just talking to a customer today, a major airline manufacturer, okay. About their airport and the future with the mobile device just being frictionless, okay, no one wants to touch anything anymore. You can use your mobile device to do your check-in and you've got to you avoid kiosks, okay. So they're trying to figure out how to get rid of the kiosk. Now you need a kiosk for like checking baggage, okay. You can't get in the way of that, but at least that frictionless experience, for that airport in the future, but it brings in some other issues. >> It does, but I like the sound of that. Last question guys, where can customers go to learn more information about the joint solutions? >> So you can go to like our public websites obviously search on edge. And if you hear at the show, there's a lot of hands on labs, okay. There's a booth over there. A lot of Edge Solutions that we offer. >> Yeah, no, this is I guess as Ryan pointed our websites have these. We've had a lot of partnership in announcements together because you know, one of the things as we've expressed, manufacturing, retail, you know, when you get in the use cases, they involve ISPs, right? So they you know, they bring the value of you know, not just having a horizontal AI platform. We like opinionated models of fraud detection. So we're actually working with ecosystem of partners to make this real. >> So we may even hear more. >> The rich vertical solution, I call it the ISVs. They enrich our vertical solutions. >> Right. >> Oh, WeMo is going to be revolutionary. >> All right, can't wait. Guys thank you so much for joining David and me today and talking about what Dell and vMware are doing together and helping retailers manufacturers really convert the edge to incredible success. We appreciate your time. >> Thank you very much. Thanks Lisa, thanks John for having us. >> For Dave Vellante, I'm Lisa Martin. You're watching the CUBE. We are wrapping up day one of our coverage of Dell Technologies World 2022. We'll be back tomorrow, John Farrer and Dave Nicholson will join us. We'll see you then. (soft music)

>>Everyone welcome back to the cubes, unstoppable domains partner showcase. I'm John furrier, host of the cube. This segment, this session is about expansion into Asia, Pacific and Europe for unstoppable domains. It's a hot start-up in the web three area, really creating a new innovation around NFTs crypto, single sign-on and digital identity giving users the power like they should. We've got two great guests, the Jod ramen head of Europe and Neil Katz on is Neil I, our head of Asia. So John Neil, welcome to this cube and let's talk about the expansion. It's not really expansion. The global economy is global, but showcase here about unstoppable was going to Europe. Thanks for coming on. >>Thanks John. >>So we're living in a global world, obviously crypto blockchain, decentralized applications. You're starting to see mainstream adoption, which means the shift is happening. There are more apps coming and it means more infrastructure and things got to get easier, right? So, you know, reduce the steps it takes to do stuff makes the Wallace better. Give people more secure. Access can control the day. This is what unstoppable is all about. You guys are in the middle of it. You're on this wave. What is the potential of web three with unstoppable and in general in Asia and in Europe, >>I can go first. So now let's look at the Asia market. I mean, typically we see the us market, the Europe markets for typical web two.zero software and infrastructure is definitely the larger markets with us, typically accounting for about 60% and you know, Europe about 20 to 30% and Asia has always been small, but we see in this whole world of blockchain, crypto web three.zero Asia already has about 116 million users. They have more than 35 local exchanges. And if you really look at the number of countries in terms of the rate of adoption of many of the Asian countries, which probably would have never even heard of like Vietnam actually topping the list, right? One of the reasons that this is happening again, if you go through the Asian development banks, latest report, you have these gen Z's and millennials of that's 50% of the Asian population. >>And if you really look at 50% of the Asian population, that's 1.1 billion people out of the total, 1.8 billion gen Z and millennials that you have in the world. And these folks are digital native they're people. In fact, our mobile first and millennials. Many of us like myself at least are people who are digital. And 20% of the world's economy is currently digital and the rest 40 to 50%, which is going to happen. It's going to happen in the web three dot four world. And that's going to be driven by millennials and gen Zs. I think that's why this whole space is so exciting because it's being driven by the users by the new generation. I mean, that's my broad thought on this little thing. >>I want to just comment on Asia also in the other areas where mobile first came, you had the end, the younger demographics, absolutely driving the change because they're like, well, I don't want the old way. They've got, they can write, write from scratch at the beginning, they're using the technologies that has propelled the crypto world. I mean, that is absolutely true. Everyone's kind of seeing that. And that's now influencing some of these developer nations, like say in Europe, for instance, and even north America, I think years more advanced than north America in my opinion, but we'll get to that. Oh, so potential in Europe. So John could take us through your thoughts on as head of Europe for >>Absolutely so news, right? I think the issue is way ahead in terms of gen Z user golfing, critical Jordan was actually a distant second, but it's a rising tool that actually has the highest transaction. Like they will be retro or last year and a half. And you know, if you dig a bit deeper, I'd say, arguably, I think the opportunity in web three is perhaps the largest and perhaps it can mean the most withdrawal Jora for the last decade has been trailing behind Asia and north America when it comes to. But I think unicorns and I think that we can provide a step change opportunity. This belief for me, stems from the fact that Jordan on a seat, right? Like for example, GDPR is focused on enabling real data ownership. And I think I recently read a paper out of Stanford by Patrick Henson speaks about being the best bot paper, enabling patient sovereign. >>So what that means is you just spend tool the data they've been to the internet and they harness the value from it. And on one hand while, you know, verb is enabling that regulation that could bring that forward when she actually brings it into action. So I think with what enablement better regulation, and we'll see more hubs like the crypto valley in Switzerland popup that we're bring, I think normal regulation, the right regulation. We can expect what info capital for builder talent that then drives more adoption. So I think the prospects for Europe in terms of usage, as well as builders are quite right. >>Yeah. And I think also you guys are in areas where the cultural shift is so dramatic. You mentioned Asia that they have demographics. Even the entrepreneurial culture in Europe right now is booming. You look at all the venture back startups and the young generation building companies. And again, cloud computing is a big part of that as obviously. But look at compared to the United States, you go back 15 years ago, Europe was way behind on, on the startup scene. Now it's booming and pumping on all cylinders and kind of points at this cultural shift. It's almost like a generational, you know, it's like the digital hippies changing the world. You know, they're web three. It's kinda, I don't want to be web to web two is so old. You know, I don't want to do that. And it's all because it's changing, right? And there are things that inadequate with web two on the naming system, also the arbitrage around fake information, bots users being manipulated, and also, you know, merchandise and monetize through these portals. And that's, that's kind of ending. So talk about the dynamic of web two, three at those areas. You've got users and you've got companies who build applications, they're going to shift and be forced in our opinion, and want to get a reaction to that. Do you think applications are going to have to be web three or users will reject them? >>Yeah, I think I jumped in and I'm not Neil's sport. I think the, the back is built on Q principles, right? Decentralization or ship and compostability. And I think these are binary. So, you know, if, if I look far down the future, I don't see a future where you have just whipped V I think there's gonna be a coexistence or cooperation between bamboo companies. I think there's going to be a sliding scale to decentralization versus PlayStation similarity, you know, ownership. And I think users will find what works best for them in different contexts. I think what installed this link is potentially providing the identity system correctly and that's, we were powerful that account being better on blockchains, then the naming system we had for web, right? The, the identity system serve focus, Paul, taking that you as a personal identifier that, so blockchain to me mean they're attaching all kinds of attributes that define who you are, the physical and digital world, and then filling out information that you can transact on the basis of. And I think that users would as the or future, right with, you know, InBev to more of the users were essentially consumers or readers of the internet and in bed with more technology platforms taking shape and getting proliferation that you would see more than just being actually writers, publishers, and developers on the internet. And they were value owning the data and to harness the most model valuable. So I think a basketball with bonds, and I think that's the future. I see that >>Well, I think you put it very, very nicely. So the other thing you've covered most of the points, I think, but I'm seeing a lot of different things that are happening in the ground. I think a lot of the garments, a lot of the web two.zero players, the traditional banks, these guys are not sitting quiet on the blockchain space. There's a lot of pilots happening in the blockchain space, right? I'm mean I can give you real life examples. I mean, one of the biggest example is in my home state of Maharashtra and Mumbai is they actually partnered with the polygon MarTech, right? Actually built a private blockchain based capability to, you know, kind of deliver your COVID vaccination certificates with the QR code it. And that's the only way they could deliver that kind of volumes in that shorter time. But the kind of user control the user control the user has on the data that could only be possible because of blockchain. >>Of course, it's still private because it's healthcare data. Now, they still want to keep it, or, you know, something that's not fully on a blockchain, but that is something, a similarly view. There is a consortium of about nine banks who have actually been trying to work on making things like remittances or trade finance, much, much easier. I mean, remittances through a traditional web two.zero world is very, very costly. And especially in the Asian countries, but a lot of people from Southeast Asia work across the world and send back money home. It's a very costly and a time taking affair. So they have actually partnered and built a blockchain based capability. Again, in a pilot stage, we kind of reduce the transaction costs. Like for example, if we just look at the trade finance space where there are 14 million traders who do 2.4, $5 trillion of transaction, now they were able to actually reduce the time that it takes from eight to nine days to about two to three days. So to add onto what you're saying, I think these two worlds are going to meet and meet very soon. And when they meet what they need is a single digital identity, a human readable way of being able to send and receive and do commerce. I think that's where I see unstoppable domains, very nicely positioned to be able to integrate these two worlds. So that's, that's my thought on >>Great point. I was going to get into which industries and kind of what areas you see in your air and geographies, but it's a good point about saving time. I liked how you brought that up because in these new waves, you either got to reduce the steps. It takes to do something or save time, make it easy. And these are the, this is the successful formula in anything, whether it's an app or UI or whatever, but what specifically are they doing in your areas? And, and what about unstoppable? Are they attracted to, is it because of the identity? Is it because of the, the apps is because of the single sign on what is that? What is the reason that they're leaning in and unpacking this further into their pilots? >>Do you want to take that because >>I am having these dumping it'd be warranted. So I think, and let me clarify the question, John you're, you're talking about companies looking at departments of our production partner. >>Yeah. What are they seeing and what are they seeing as the value that these pilots we heard from Neil Canada around the, the, the financial industry and obviously gaming gaming's one it's obvious, huge financial healthcare. I mean, these are obviously verticals that are going to be heavily impacted in a positive way. Where, what are they seeing as the value what's getting them motivated to do these pilots? Why they, why they jumping in with, with both feet, if you will, on these projects, is it because it's saving money? Is it time? What, or, or both, is it ease of use? Is it the, is it the user's expectations trying to tease out how you guys see that evolving? >>Yeah. Yeah. I think, I think the, the, this is still spaces. The movement is going very fast, but I think the space has been young. And right now a lot of these companies are seeing the potential that, that few offers. And I think the key dimensions, like the possibility isn't leadership ownership. So I think the key thing I'm seeing in you is these web companies seeing the momentum and looking to harness that book by enabling bridges web. One of the key trends in water has been FinTech. I think over the last five to six years, we'll have the Revolut and 26 platforms, new banks and super finance. So perhaps rising to the forefront and they are all enabling or connecting a page with them in some shape and form either any of them creating a crypto, some are launching their own native wallets. And these are essentially ways that they can one crack users. >>So the gen Z who are looking for war with finance to get them on board, but also to look to, you know, enable more adoption by data on users, one, not using these services that potentially create new revenue streams and, and create allocation of capital that they could not access to have access to otherwise. So I think that's one brand I'm seeing over here. I think the other key trend is in your use has been games. And again, that links are damaged. We have to, that is called the MetAware. So a lot of game companies are looking to step into game five, which is again, completely different. This is more work traditional game companies use use similarly metal versus we, again, worship creates a different business model and they see that users and gamers of the future were born to engage with that versus just being more eyes on the business of question or our ads. And I think that's something that they're, you know, becoming a bit off and quickly the space launching the one better versus, or are gained by applications or creating a comfortability with these, these, these, >>You know, I wanted to get it to this point, but I was going to ask about the community empowerment piece of this equation because she's identity is about the user's identity, which implies they're part of a community. Web three is very convenient community centric, but you mentioned gaming. I mean, people who have been watching the gaming world like ourselves, know that communities and marketplaces have been very active for years, many years, you know, over 15 years community, you know, games, currency in game activity has been out there. Right. But siloed within the games themselves. So now it seems that that paradigm is coming in and empowering all communities. Is this something that you guys see and agree with? And if so, what's different about that? What, how are our, how our communities being empowered? I guess that's the question. >>Yeah. I can maybe take that too. So, I mean, I've also heard of vaccine I'm in a 40% of their user base in Vietnam. And the average earning that a person makes in a month out of playing this game is more than the, you know, national daily or, you know, minimum wage that is there. Right. So that's the kind of potential actually going back as a combination of actually answering your earlier question, I think, or, and about what Sadat said, what's really unique in Asia is we still have a lot of unbanked people, right? So if you really look at the total unbanked population of the world, it's 1.6 billion and 24% of that as a nation, almost 375 million people are an issue. So these are people who do not have access to finance or credit. So the whole idea is how do we get these people on to a banking system on to peer peer, to peer lending out kind of peer to peer finance kind of capabilities? >>I think, you know, again, unstoppable domains kind of helps in that, right? If you just look@thepurethatthree.zero world and the complex, you know, technical way in which, you know, money or other crypto is transferred from one wallet to the other, it's very difficult for an un-banked person who probably cannot even do basic communication, cannot read and write, but actually be able to do it, but something that's very human readable, something that's very easy for him to understand something that's visual, something that he can see on his mobile with, you know, two G network. We are not talking of the world is talking about 5g, but there are parts of Asia which are still using two G and you know, two point 5g kind of network. Right? So I think that's one key use case. I think the banks are trying to solve because for them, this is a whole new customer segment. >>And sorry, I actually went back a little bit to your earlier question, but you know, coming back to this whole community building, right? So on March 8th, we're launching something called us women of web 3.0, that is three. This is basically to again, empower. So if you, again, look at Asia, you know, women, you know, need a lot of training. They need a lot of enablement for them to be able to leverage the power of that three.zero. I can talk about India because being from India, a lot of the women do not, you know, they, they do all the, you know, small businesses, but the money is not taken by middlemen or taken by their husbands, but fundamentally the money comes to them because that's what they use to educate their children. And it's the same thing in a lot of other, Southeast Asian countries as well. I think it's very important to build those communities or communities of women entrepreneurs. I think this is a big opportunity to really get the section of society, which probably, you know, will take 10 more years. If we go for the normal one to web two.zero progression where the power is with corporations and not with the individual. >>And that's a great announcement, by the way, you mentioned the $10 million worth of domains being issued out for this is democratization is what it's all about. Again, this is, you know, a new revolution. I mean, this is a new thing, so great stuff, more education, more learning, and can get the banks up and running, get those people banking because once they're banking, they get wallets, right? So they need the wallet. So let's get to the real meat here. You guys are in the territory, Europe and Asia, where there's a lot of wallets. There's a lot of exchanges because that's, they're not in the United States is few of them there, but most of them outside the United States and you got a lot of di apps developing, you know, decentralized applications. Okay. So you've got all this coming together and your territory, what's the strategy is that what's the strategy. How are you gonna attack that? You've got the wallets, you've got the exchanges and you've got D applications. You, >>Yeah. so I think just quickly there, I think one point is the Neil very expressive, beautifully is the final conclusion that that is something that has been inspired me, how better we can make it more inclusive that inspired mine. Yeah. I think for us, I think when a bit at the base star, when it comes to your right and the, the key focus in, in, in terms of our approach would be that the more do two dates, one, we want increase the utility of these domains. And the second thing is we weren't via proliferation with, with, with our partners. So when I speak on utility, I think utility is when you have a universe like depart, which is a domain name, and then you have these attributes around it, right? What, what that defines your identity. So in, in the context in Europe, we would look to find partners to help us enrich that identity around the domain name. >>And that adds value for users in terms of acquiring new leads and new blinds. And all the other element comes proliferation. I think it's about working with all those crypto and participants, as well as the adjacent companies, parents services who can help us educate current and future upcoming three users about the utility of domain names and help us onboard them to the, the. So I think that's going to be the general focus. I think the key is that as well, and hopefully it will be having watch regulation, you that allow us to do this at a visual level, but at the outset, I think it's going to be tackling it. Can't be by, can't be identified on this where there's deeper, better patient for and then making sure that we are partnering with local project partners that are demanding for local communities there. So, yeah, that's my view in, >>Oh, I think, yeah. So again, in Asia, once you have a significant part of Manatee living in Asia, right? So obviously I know obviously all the other challenges and the opportunities that we talk about, I think the first area of focus would be educating the people on the massive opportunity that they can not, they have, and if you're able to get them in early, I think it's great for them as well, right? Because by the time, you know, governments regulations and a large banking financial companies move, but if we can get the larger population or, you know, into this whole space, it's, it's good for them. So they are first movers in that space. I think we're doing a lot of things on this worldwide. I think we have done more than a hundred Pasco podcast, just educating people on water's web feed or, or, you know, waters, what are NFP domains, what is defy and, you know, so on and so forth. >>I think it would need some bit of localization customization in Asia, given that, you know, India itself has about 22 languages. And then there are the other countries which each of them have their own local languages and, you know, syntax, semantics and all those things. So I think that that is very important to be able to disseminate the knowledge or though it's it's global. But I think to get the grassroot people to understand the opportunity, I think it would need some amount of work that I think also building communities. I think John, you talked about communities so that such I'd talk about communities. I think it's very important to build communities because communities create ideation. It talks about people share their challenges so that people don't repeat the same mistakes. Also. I think it's very important to build communities based on impressed. I think we all know in the technology world, you can build communities and on telegram, telegram, discard, Twitter spaces and all those things. >>But, you know, again, when we're talking about financial inclusion, we're talking of a different kind of community building. I think that that would be important. And then of course I will, you know, kind of primarily from a company perspective, I think getting the 35 odd exchanges in Asia, the wallets to partner with us, just as an example, you know, they hired till September of last year, about 3,500 apps in just one quarter at double two, 7,000 tabs on their platform. But that is the pace or the speed of innovation that we are seeing on this whole, you know, three dot old space. I think it's very important to get those key partners. We're developing those dots or see the power of single sign on having a human readable, digital identity, being able to seamlessly transfer your assets, digital assets across multiple crypto's across multiple NFT when the market places and so on. So >>Yeah, and I think the whole community thing too is also you seeing the communities being part of certainly in the entertainment area and the artistry creator world, the users are part of the community own it too. So it goes both ways, but this brings up the marketplace too, as well, because you ha you guys have the opportunity to have trust built into the software layer, right? So now you can keep the reputation data. You don't, you can be anonymous, but it's trustworthy versus bots, which we all know bots can be killed and then started again with, and no one knows what the timeline has been around. So, you know, the whole inadequacy of web too, which is just growing pains, right? This is what it'll evolution looks like, you know, next to them, traction layer. So I love that vibe. How advanced do you think that thinking is where people are saying, Hey, we need this abstraction layer. We need this digital identity. We need to start expanding our applications so that the users can move across these and break down those silos where the data is cause that's, this is like the problem, right? It's the data silos that are holding it back. What'd you guys' reaction to that? The, the killing the silos and making it horizontally scalable. >>Yeah, I think it's, it's not problem. It is a problem of people who understand technology. It's a problem of a lot of the people in the business who want to compete effectively against those giants, which are holding all the data. So I think those are the people who will innovate and move again, coming back to financial inclusion, coming back to the unbanked and those guys just want to do their business. They want to live their daily life. I think that's not where you'll see, you will see innovation in a different form, but they're not going to disrupt the disruptors. I think that would be the people that are fintechs. I think they would be the first to move on to something like that. I mean, that's my humble opinion. >>Absolutely. I, I got you on creators, right? So like I said earlier, right, we are heading for a future where more creators on the internet, whether you're publishing, writing something, you're creating video content. And that means that the data they own, because that's their data, they're bringing it to the internet. That's more powerful, more useful, and they should be reprocessed on that basis. So I think people are recognizing that and they've been using the proposal and as they do that, they were warranties systems that enabled them to work permissions with data. They will want to be able to control what the permission and what they want to provide, adapt. And at the end of the day, you know, these applications have to work backwards from customers and keep the customers looking for, but that then, and ask where passport for >>The users want freedom. They want to be able to be connected and not be restricted. They want to freely move around the global internet and do whatever they want with the friends and apps that they want to consume and not feel arbitrage. They don't want to feel like they're kind of nailed into a walled garden and, you know, stuck there and having to come back. It's the new normal. If >>They don't want to be the, they don't want to be the product. They >>Don't want to be the perfect gentlemen. Great to have you on great conversation. We're going to continue this later. Certainly want to keep the updates coming. You guys are in a very hot area in Europe and Asia Pacific. That's where a lot of the action is happening. We see the entrepreneurial activity, the business transformation, certainly with the new paradigm shift and this big wave that's coming. It's here. It's mainstream. Thanks for coming on, sharing your insights. Appreciate it. >>Thanks for the opportunity. >>Great conversation. All the actions moving and happening real fast. This is the cube unstoppable debates partner showcase with I'm John for your host. Thanks for watching.

>>Oh, welcome to this cube unstoppable domain showcase. I'm John for your host of the cube and showcasing all the great content about web three. And what's around the corner for web. For of course, stoppable domains is one of the big growth stories in the business bread. Can the co-founders here with me have ensembles mains break. Great to see you. Thanks for coming on the showcase. >>So you have a lot of history in the, in the web three, they're calling it net, but it's basically crypto and blockchain. You know, the white paper came out and then, you know how it developed was organically. We saw how that happened. Now, the co-founder was titled domains. You seeing the mainstream, I would say main street scene, super bowl commercials. Okay. You're seeing it everywhere. So it is, it is here. Stadiums are named after cryptos companies. It's here. Hey, it's no longer a fringe. It is reality. You guys are in the middle of it. What's what's going on with the trend. And where does unstoppable fit in? Where do you guys tie in here? >>I mean, I think that what's been happening in general, this whole revolution around cryptocurrencies and then in FTEs and what unstoppable domains is doing, it's all around creating this idea that people can own something that's digital. And this hasn't really been possible before Bitcoin Bitcoin was the first case. You could own money. You don't need a bank. No one else. You can completely control it. No one else can turn you off. Then there was this next phase of the revolution, which is assets beyond just currencies. So, and if T is digital art, what we're working on is like a decentralized identity, like a username for web three and each individual domain name is a is an NFT. But yeah, it's a, it's been a, it's been a, it's been a crazy ride over the past. >>It's fun because you on siliconangle.com, which we founded, we were covering early days of crypto. In fact, our first website, the developer want to be paid in crypto is interesting price of Bitcoin. I won't say that how low it was, but then you saw, you saw the, you know, the ICO way, the token started coming in, you started seeing much more engineering, focused, a lot of white papers coming out, a lot of cool ideas. And then now you got this mainstream of it. So I had to ask you, what are the coolest things you guys are working on because ensemble has a solution that solves a problem today, and that people are facing at the same time. It is part of this new architecture. What problem do you guys solve right now? That's in market that you're seeing the most traction on. >>Yeah. So it's really about, so whenever you inter interact with a blockchain, you wind up having to deal with one of these really, really crazy public keys, public addresses. And they're like anywhere from 20 to 40 characters, long they're random, they're impossible to memorize. And going back to even early days in crypto, I think if people knew that this tech was not going to go mainstream, if you have to copy and paste these things around, if I'm getting to send you like a million dollars, I'm going to copy and paste some random string of numbers and letters. I'm going to have no confirmations about who I'm sending it to. And I'm going to hope that it works out. It's just not practical people. Who've kind of always known there was going to be a solution. And one of the more popular ideas was doing kind of like what DNS did, which is instead of having to deal with these crazy IP addresses this long, random string of numbers to find a website, you have a name, like a keyword, something that's easy to remember, you know, like a hotels.com or something like that. And so what NFT domains are, is basically the same thing, but for blockchain addresses and yeah, it's just, it's just better and easier. There's this joke that everybody, if you want to send me money, you're going to send me a test transaction of, you know, like a dollar first, just to make sure that I get it, call me up and make sure that I get it before you go and send the big amount. I'm just not the way moving, you know, billions of dollars of value is going to work in the future. >>Yeah. And I think one of the things you just pointed out, make it easier. One of these, when you have these new waves, these shifts we saw with the web web pages, more and more web pages were coming on more online users, they call the online population is growing here, the same thing's happening. And the focus is on ease of use, making things simple, to understand and reducing the step it takes to do things, right. This is kind of, kind of what is going on and with the developer community and what a theory has done really well is brought in the developers. So that's the, that's the convergence of all the action. And so when you, so that's where you're at right now, how do you go forward from here? Obviously see this business development deals to do. You guys are partnering a lot. What's the strategy? What are some of the things that you can share about some of your business activity that points to how mainstream it is and where it's going? Okay. >>So I think the, the, the, the way to, the way to think about, and, and T domain name is that it's meant to be like your identity on web three. So it's gonna have a lot of different contexts. It's kind of like your, your Venmo account, where you could send me money to Brad dot crypto can be your decentralized website, where you can check out my content at Brad dot crypto. It can also be my like login kind of like a decentralized Facebook OAuth, where I can log into ADAPs and share information about myself and bring my data along with me. So it's got all of these, all of these different, all these different things that it can do, but where it's starting is inside of crypto wallets and crypto apps, and they are adopting it for this identity, this identity idea. And it's the same identity across all your apps. >>That's the thing that's kinda, that's new here. So, so yeah, that's the, that's the really, that's the really big and profound shift that's happening. And the reason why this is going to be maybe even more important, a lot of, you know, your, your listeners thing is that everyone's going to have a crypto wallet. Every person in the world is going to have a crypto wallet. Every app, every consumer app that you use is going to build one in Twitter, just launched, just built one. Reddit is building one. You're seeing it across all the consumer finance apps. So it's not just the crypto companies that you're thinking of. Every app is going to have a wallet, and it's going to really, it's going to really change the way that we use the internet. >>I think there's a couple of things you pointed. I want to get your reaction to and thoughts more on this constant adapts or decentralized applications or dimension when you call it, this is applications and that take advantage of, of the architecture and then this idea of users owning their own data. And this absolutely reverses the script today. Today, you see Facebook, you see LinkedIn, all these silos, they own the data. The, you are the product here. The users are in control. They have their data, but the apps are being built for it for the paradigm shift here. Right. That's what's happening. Is that right now? >>Totally, totally. And, and so it all starts, I mean, DAP is just this crazy term. It feels like it's this like really foreign, weird thing. All it means is that you sign in with your wallet instead of signing in with a username and password where the data is stored inside of that app, like inside of Facebook. So that's, that's the only real, like core underneath difference to keep in mind signing in with a wallet. But that is like a complete sea change in the way the internet works, because I have this, this key, this private key it's on my phone or my device or whatever. And I'm the only one that has it. So if somebody wanted to hack me, they need to go get access to my device. Two years ago, when Twitter got hacked, Barack Obama and Elon Musk were tweeting the same stuff. >>That's because Twitter had all the data. And so you needed to hack Twitter instead of each individual person, it's a completely different security model. It's, it's way better for users to have that. But if you're thinking from the user perspective what's going to happen is, is that instead of Facebook storing all of my data, and then me being trapped inside of Facebook, I'm going to store it. And I'm gonna move around on the internet, logging in with my web three username, my, my, my NFT domain name. And I'm going to have all my data with me. And then I could use a hundred different Facebooks all in one day. And it would be effortless for me to go and move from one to the other. So the monopoly situation that we exist in as a society is because of the way data storage works. >>So that's the huge point. So let's just, let's double down on that for one more. Second, this is huge point. I want to get your thoughts. I think people don't understand that in the mainstream having that horizontal traversal or, or, or the ability to move around with your identity in this case, your unstoppable domain and your data allows the user to take it from place to place. It's like going to other apps that could be Facebook where the user's in charge. And they're either deciding whether to share their data or not, or are certainly continually their data. And this allows for more of a horizontal scalability for the user, not for a company. >>Yeah. And what's going to happen is, is users are building up their reputation. They're building up their identity in web three. So you have your username and you have your, your profile and you have certain badges of, you know, activities that you've done. And you're building up this reputation. And now apps are looking at that and they're starting to create social networks and other things to provide me services because I, it started with the user as, or the user is starting to collect all this valuable data. And then apps are saying, well, Hey, let me give you a special experience based on that, but the real thing, and this is like, this is like the core mean, this is just like a core capitalist idea. In general, you have more competition, you get a better experience for users. We have not had competition on, on, in web two for decades because these companies have become monopolies. And what web three is really allowing is this wide open competition. And, and that is what, that's the core thing. Like, it's not like, you know, it's going to take time for, for, for web three to get better than web two. You know, it's very, very early days, but the reason why it's going to work is because of the competitive aspect here. Like you can just, it's just so much better for consumers when this happened. >>I would also add to that, first of all, great point, great insight. I would also add that the web presence technology based upon DNS specifically is first of all, it's asking, so it's not foreign characters. It's not union code for, for the geeks out there, but that's limiting to its limits you to be on a site. And so I think the combination of kind of inadequate or antiquated DNS has limitations. So if, and that doesn't help communities, right? So when you're in the communities, you have potentially marketplaces, that could be anywhere. So if you have a ID and just kind of thinking it forward here, but if you have your own data and your own ID, you can jump into a marketplace two-sided marketplace anywhere. And app can provide that if the community is robust, this is kind of where I see the use case going. How do you guys, do you guys agree with that statement and how do you see that ability for the user to take advantage of other competitive or new emerging communities or marketplace? >>So I think it all comes down. So I identity is just this huge problem in web two. And part of the reason why it's very, very hard for new marketplaces and new communities to emerge is because you need all kinds of trust and reputation. And it's very hard to get, to get real information about the users that you're interacting with. If you're, if you're in the web three paradigm, then what happens is, is you can go and check certain things on the blockchain to see if they're true. And you can know that they're true. A hundred percent. You can know that I have used unit swab in the past 30 days and open, see in the past 30 days, you can know for sure that this wallet is mine. The same owner of this wallet also owns this other wallet, owns this certain asset. So all of having the ability to know certain things about a stranger is really what's going to change behavior. >>And one of the things that we're really excited about is being able to prove information about yourself without sharing it. So I can tell you, Hey, I'm a unique person. I'm an American, I'm not an American, but I don't have to tell you who I am. And, and you can still know that it's true. And, and that is that concept is going to be what enables, what you're talking about. I'm going to be able to show up in some new community that was created two hours ago, and we can all trust each other that a certain set of facts are true. And that's possible because of >>Exchange and exchange value with smart contracts and other no middlemen involved activities, which is the promise of the new decentralized web. All right. So let me ask you a question on that, because I think this is key. The anonymous point is huge. If you look at any kind of abstraction layers or any evolution in technology over the years, it's always been about cleaning up the mess or the, or extending capabilities of something that was inadequate. We mentioned DNS. Now you got this, there's a lot of problems with web two, 2.0, social bots. You mentioned bots, bots are anonymous and they don't have a lot of time in market. So it's easy to start bots and everyone who does either scraping bots, everyone knows this. What you just pointed out was an ops environment that was user choice, but has all the data that could be verified. So it's almost like a blue check mark on Twitter without your name, >>Kind of, it's good. It's going to be hundreds of check marks, but exactly, because there's so many different things that you're going to want to be, you're going to want to communicate to strangers, but that's exactly the right. That's exactly the right mental model. It's going to be these check marks for all kinds of different contexts. And that's, what's going to enable people to trust that they're, you know, you're talking to a real person or you're talking to the type of person you thought you were talking to, et cetera. But yeah, it's, it's, you know, I, I think that the issues that we have with bots today are because a web tool has failed at solving identity. I think Facebook at one point was deleting half a billion fake accounts per quarter. Something like the entire number of user profiles. They were deleting per you know, per year. So it's just a total. >>They spring up like mushrooms. They just pop up the thing. This is the problem. I mean, the data that you acquire in new siloed platforms is used by them, the company. So you don't own the data. So you become the product as the cliche goes. But what you're saying is if you have an identity and you pop around to multiple sites, you also have your digital footprints and your exhaust that you own. Okay. That's time. That's reputation data. I mean, you can cut it any way you want, but the point is, it's your stuff over time, that's yours and that's immutable. It's on the blockchain. You can store it and make that permanent and add to it. Exactly. That's, that's a time-based thing versus today, bots that are spreading misinformation can, can get popped up when they get killed. They just start another one. So time actually is a metric for quality here. >>Absolutely. And people already use it in the crypto world to say like, Hey, this wallet was created greater than two years ago. This wallet has had, you know, head has had transactions for at least three or four years. Like this is probably a real, you know, this is probably a legit legitimate user and anybody can look that up. I mean, we could go look it up together right now on, on ether scan. It would take, you know, a minute. >>Yeah. It's awesome. Yeah. I'm a big fan. I can tell, I love this product. I think you guys are gonna do really well. Congratulations. I'm a big fan. I think this is needed. What are some of the deals you've done? blockchain.com has won an opera. Can you take us through those deals and why they're working with you? We'll start with blockchain.com. >>Yeah. So the whole thing here is that this identity standard for web three apps need to choose to support it. So we spent several years as a company working to get as many crypto wallets and browsers and crypto exchanges to support this, to support this identity standard. Some of the, some of the, the, the largest, and probably, you know, most, most popular companies to have done. This are blockchain.com. For example, blockchain.com, one of the largest crypto wallets in the world. And you can use your domain names instead of crypto addresses. And, and, and this is, this is, this is super cool because blockchain.com in particular focuses on onboarding new users. So they're very focused on how we're going to get the next 4 billion internet users to use this tech. And they said, you know, usernames are going to be essential. Like, how can we onboard this next several billion people? If we have to explain to them about all these crazy addresses, and it's not just one, like we want to give you 10 40 character addresses for all these different contexts. Like, it's just, it's just, it's just no way people are gonna be able to do that without, without having a username. So that's why we're really excited about, about what blockchain that comes through. And they, they, they want to train users that this is the way you should use it. >>Yeah. And certainly no one wants to remember. I remember writing down all my writing. I, I'm not, I was never a big wallet fan cause all the hacks, I used to write it down and store it in my safe. But if the house burns down or I, I kick the can I'm, who's going to find it. Right? So again, these are all important things, your key storing it, securing it, super important. Talk about opera. And that's an interesting partnership because it's got a browser and people know what it is, what are they doing? Different almost imagine they're innovating around the identity and what people's experiences with, what they touch. >>So this is, this is one of those things. That's a little bit easier. And I strongly encourage everybody to go and try dApps after this. Cause this is going to be one of those concepts to be a little easier. If you, if you try it, then if you hear about it, but the concept of a wallet and a browser are kind of merging. So it makes sense to have a wallet inside of your browser. Because when you go to a website, the website is going to want you to sign in with your wallet. So having that be in one app is quite convenient for users. And so opera was one of the trailblazers, a traditional browser that added a crypto wallet so that you can store money in there. And then also added support for domain names, for payments and for websites. So you can type in Brad dot crypto and you can send me money or you can type in Brad dot crypto into the browser and you can check out my website. I've got a little NFT gallery. You can see my collection up there right now. So that's the, that's the idea is that browsers have this kind of super power in a web three. And what I think is going to happen opera and brave have been kind of the trailblazers here. But I think is going to happen is that these traditional browsers are going to wake up and they're going to see that integrating a wallet is critical for them to be able to provide services to consumers. >>I mean, it is an app. I mean, why not make it a D app as well? Because why wouldn't I want to just send you crypto, like Venmo, you mentioned earlier, which people can understand that concept. Ben, let me make my cash. Same concept here, but built in to the browser, which is not a browser anymore. It's a, a reader, a D app reader, basically with a wallet. All right. So, so what does this mean for you guys in the marketplace? You've got opera pushing the envelope on browsing, changing the experience, enabling the applications to be discovered and navigated and consumed. You got blockchain.com, blockchain.com with the wallets and being embedded there. Good distribution. How, what, who are you looking for for partners? How do people partner? Let's just say the cube wants to do NFTs and we want to have a login for our communities, which are all open. How do we partner with you? Or do we have to wait? Or is there a, I mean, take us through the partnership strategy. How do we, how do people engage with unstoppable Dwayne's >>Yeah, so, I mean, I think that if you're, you know, if you're a wallet or a crypto exchange, it's super easy, we would love to have you support being able to send money using domains. We also have all sorts of different kind of marketing activities we can do together. We can give out free stuff to, to your communities. We have a bunch of education that we do. We're really trying to be this onboarding point to web three. So there's, I think a lot of, a lot of cool stuff we can do together on the commercial side and on the, the, the marketing side. And then the other category that we didn't talk about was dabs. And we now have this login with unstoppable domains, which you kind of alluded to there. And so you can log in with your domain name and then you can give the app permission to get certain information about you or proof of information about you, not the actual information, if you don't want to share it because it's your choice and you're in control. And so that would be, that would be another thing. Like if you all launch a DAP, we should absolutely have log-in with unstoppable. >>Yeah. There's so much headroom here. You've got a short-term solution with exchange. Get that distribution. I get that that's early days of the foundation, push the distribution, get you guys everywhere. But the real success comes in for the login. I mean, the sign-on single sign-on concept. I think that's going to be powerful, great stuff. Okay. Future, tell us something we don't know about ensemble domains that people might be interested in. >>I think it's really, I think the thing that you're going to hear about a lot from us in the future is going to be around this idea of identity, of being able to prove that you're a human and be able to tell apps that and apps are going to give you all kinds of special access and rewards and all kinds of other things, because, because you gave them that information. So that's the that's, that's probably, that's the hint I'm going to drop. >>Yeah. It's interesting. Brad, you bring trust, you bring quality verified data to intelligence, software, and machine learning, AI and access to distributed communities and distributed applications. Interesting to see what the software does, what that, cause it traditionally didn't have that before. I mean just in mindblowing, I mean, it's pretty crazy great stuff, Brad. Thanks for coming on. Thanks for sharing the insight. Co-founder unstoppable domains, Brad camp. Thanks for stopping by the cubes. Showcase with unstoppable domains.

>>Hello, and welcome to this cubes presentation with unstoppable domains. It's a showcase we're featuring all the best content in web three. And with unstabled a showcase I'm John furrier, your host of the cube. We've got a great guest here, Matt Miscavige. Covich who's the chief revenue officer of unstoppable domains. Matt, welcome to the showcase. Appreciate it. >>Thank you for having me. So >>The theme of this segment is the potential of the web three marketplace with unstoppable domains, the chief revenue officer, you guys have a very intriguing, interesting concept. That's going extremely well. Congratulations, but you're using NFTs for access and domains. Of course, the, the metaverse is huge. People want their own domains, but it's not just like real estate in the sense of a website. It's bigger than that. It's a lot going on. So take us through what is the value proposition and what is the product? >>Absolutely. So for the past 20 years, most of us have been interacting on the internet. Using usernames issued to us by big corporations like Facebook, Google, Twitter, tech talks, Snapchat, et cetera. Whenever we get these usernames for free it's because we in our data are the product as some of the recent leaks. And the media has shown incentives. Individuals and companies are not always aligned. And most importantly, individuals are not in control of their own digital identity and the data, which means they can economically benefit from the value they create online. Think of Twitter as a two-sided marketplace with 0% revenue share back to its creators. We're now having in the creator economy and we believe that individuals should see the economic rewards of what they do in create online. That's all we're trying to do here at unstoppable domains is provide user own take control identity to four and a half billion internet users. >>It's interesting to see change that's happening with web three. And just in cultural terms, users are expecting to be part of the creative, the personality of the company. There's this almost this disintermediation of the middleman. You know, whether it's an ad network or a gatekeeper of any kind people going direct, right? So if I'm an artist, I can go direct to my fans. >>Exactly. So web through really shifts the power away from aggregators, aggregators and marketplaces have been some of the best business models. The last 20 years onto the internet, the web three is going to dramatically change that over the next decade, paying more power back in the hands of consumers. >>What type of companies do you guys work with and partner with that we see out there, what's give us some examples of the kinds of companies you're doing business with and partnering with. >>Yeah. So let's talk about use cases. First actually is the big use case that we identified initially for NFT domain names was around cryptocurrency transfers. Anyone who's ever bought cryptocurrency and tried to transfer it between the council while it's is familiar with these awkwardly long hexadecimal strings of random numbers and letters, where if you make a single type of money is lost forever. That's a pretty scary experience that exists today in our $2 trillion asset class with 250 million users. So the first set of partners that we worked on integrating with who actually cook the wilds and exchanges. So we will allow users to do is replace all their long hexadecimal wallet addresses with a single human readable name, like John dot NFT or Maxim needs give each dot crypto to allow for simple crypto transfers. >>And how did the exchange work with you guys on that as it is? Is it a plugin? Is it co-locating code together? What's the, what's the, what's the relationship between exchanges and unstoppable domains? >>Yeah, absolutely. A great question. So exchange has actually have to do a little bit of an engineering lift to work with us, and they can do that by either using our resolution libraries or using one of our API APIs or in order to look up an unstoppable name and figure out all the wallet addresses that's associated with that name. So today we work with dozens of the world's top exchanges and wallets ranging from Oko DX to Coinbase wallet, to trust wallet, to bread wallet, and many, many others. >>I got to ask you on the wallet side, is that a requirement in terms of having specific code and are there wallets that you work well with? Explain the wallet dynamic between unstoppable domains and wallets. >>Yeah. So while it's all have this huge usability problem for their users, because every single cryptocurrency held by every single one of their users has a different hexadecimal wallet address. And once again, every user is subject to the same human fallacies and errors, where they make a single type where their money can be lost forever. So we enable these wallets to do is to make crypto transfer as simple and as less scary than the current status code by giving the users on a sub well name that they can use to attach to all the waltz addresses on the backend. So companies like trust world, for example, which has 10 million users or Coinbase wallet. When you go to the crypto transfer fields, they can just type in an unstoppable name. They'll correctly, route the currency to the right person, to the right world, without any chance for human error. >>You know, when these big waves come, I gotta ask you this question. Cause a lot of people in the mainstream are getting into it. Now reminds me of the web wave that hit the big thing was how many people are coming online. It was one of the key metrics and how many web pages are being developed was another metric, which meant that people were building out web pages. And it's hard to look back and think, wow, that was actually a KPI. So internet users and webpages were the two proxies cause then search and just came out and everything else happened. So I'm going to ask you, there are people watching, they're seeing that on commercials on TV, they're seeing it everywhere stadiums are named after crypto companies. So the bottom line is people want to know how NFT domains take the fear out of working with crypto and sending crypto. >>Yeah, absolutely. So imagine if we had to navigate the web using IP addresses rather than typing in google.com, you'd have to type in a random string of words and numbers that you'd have to memorize. That would be super painful for users. And didn't, it wouldn't have gotten to where it is today with this, you know, almost 5 billion people online, the history of computer networks. We have human readable naming systems built on top. In every single instance. It's almost crazy that we got to a $2 trillion asset class with 250 million users worldwide 13 years after this, the Toshi white paper without a human readable naming system, other than supple domains and a few of our competitors, that's a fundamental problem that we need to solve in order to go from 250 million crypto users in 2022 to 5 billion crypto users, a decade from now. >>And just to point out and not to look back and maybe make a correlation, but I will, if you look at the naming system of DNS, what it did to IP addresses, that's one major innovation that enabled the web. Then you look at what keyword navigation has done on top of DNS, what that did for the industry. And that basically birthed Googled keywords, basically ads. So that's trillions and trillions of dollars again. Now shifting to you guys, is that how you see it? Obviously it's decentralized, so what's different. Okay. I get, so if you compare, Hey, Google was successful, you know, keyword advertising industry for less than 25 years or 20 years. >>Yeah. Yeah. What's different. Now is the technology inflection points. So blockchains have evolved to a point where they enable high throughput, high transaction volume and true decentralized ownership. The NFT standard, which is only a couple of years old know, has taken off massively around trading of profile pictures like crypto punks and the boy apes yacht club where they use cases extended much more than just, you know, a cool JPEG that goes up in value two or three X year over year. There is the true use case here around ownership of identity ownership over a data set, decentralized log-in authentication and permission data sharing. One of the sad things that happened in Jeanette on the internalized decade really was that the platforms built out have now allowed developers to built on top of them and a trustless permissionless way. Developers who build applications on top of some of the early monopolies in the last decade, got the rules changed on them. APIs, cutoff, new fees instituted. That's not going to happen in web three because all permissionless custody in a user's own wallet, we cannot take the way they will continue to exist in eternity, regardless of what happens to unstoppable domains, which gives developers a lot more confidence in building new products for the web three identity standard that we're building out. >>You guys amazing is that's a whole nother generational shift. I'm always been a big fan of abstractions when innovation is needed, when they're problems that need to be solved, messes to be cleaned up. Good abstraction layer on top of new architecture is really, really phenomenal. I guess the key question for I have for you is, you know, the queue, we have all this video where where's our NFT should, how should we implement NFTs? >>There's a couple of different ways you could think about it. You could do proof of attendance, protocol NFTs, which are really interesting way for users to show that they were at particular events. So just in the same way that people collect, t-shirts some conferences, people will be collecting. And if Ts to show, there were in person attending in person cultural moments, whether they were acquired an event online or offline, you could do NFTs for employees to show that they were at your company during certain periods of the company's growth. So think of replacing the resume with a cryptographically secure resume like this on the blockchain and perpetuity. Now more than half of all the resumes contain lies, which is a pretty gnarly problem as a hiring manager, or you constantly have to sort through as ways that this can impact that side of the market as well. >>I saw some, and I think it was a use case for everything. Appreciate that. And of course we can have the most favorite, cute moments. It could be a cube host NFT at 40 apes out there. Why not have a board cube host going on and, and >>Auction for charity on open? >>All right, great stuff. Now let's get into some of the cool tech nerd stuff, which is really the login piece, which I think is fascinating. The having NFTs be a login mechanism is another great innovation. Okay. So this is cool. Cause it's like think of it as one click and FTS, if you will. What's the response been on this? Log-in with unstoppable for that product? What some of the use gates is. Can you give some examples of the momentum and traction? >>Yeah, absolutely. So we launched the product less than 90 days ago. We already have 90 committed or integrated partners live today with a login product. And this replaces login with Google login with Facebook, with a way that's user owned and user controlled. And over time, people will be capturing additional information back to their NFP domain names, such as their reputation, their history, things they've done online and be able to permission to share that with applications that they interact with in order to get any rewards, once you own all your data and you can choose to share it with companies or incentivize you to share data. For example, imagine you just bought a new house and you have 3000 square feet to furnish. You could tell that fact and prove it to a company like Wayfair. Would they be incentivized to give you discounts? We're spending 10, 20, $30,000 and you'll do all of your purchasing there rather than spread across other e-commerce retailers. For sure they would. But right now, when you go to that website, you're just another random email address. They have no idea who you are, what you've done, what your credit score is, whether you house buyer or not. But if you could permission to share that to using a log-in open software product, I mean the web would just be much, much different. >>And I think one of the things too, as these, I call them analog old school companies, old guard companies is referred to in the cube talk here, but we were still always called that old guard is the people who aren't innovating. You could think about companies having more community too, because if you have more sharing and you have this marketplace concept and you have these new dynamics of how people are working together, sharing will provide more transparency, but yet security on identity. Therefore things are going to be happening organically. That's a community dynamic. What's your view on that? And what's your reaction >>Communities are such an important part of web three and the cryptos ecosystem in general, people are very tightly knit and they all support each other. There's a huge amount of collaboration in this space because we're all trying to onboard the next billion users into the ecosystem. And we know we have some fundamental challenges and problems to solve, whether it's complex wallet addresses, whether it's the lack of portable data sharing, whether it's just simple education, right? I'm sure, you know, tens of millions of people got into crypto for the first time during the super bowl face on some of those awesome ads that ran. >>Yeah. Love the QR code. That's a direct response. I remember when the QR code has been around for a long time. I remember in the nineties, late nineties, it was a thing, a device at red QR codes that did navigation to a webpage. So I mean, QR codes are super cool, great way to get, and we all using it to, with the pandemic to ordering food. So I think QR codes are here to stay. In fact, we should have a QR code on all of our images here on the screen too. So we'll work on that, but I gotta ask you on the project side, now let's get into the devs and kind of the applications, the users that are adopting unstoppable and this new way of doing things, why are they gravitating towards this login concepts? Can you give some examples and put, give some color commentary to why are these D application distribute application guys and gals programming and with you guys? >>Yeah. They all believe that the potential for why we're trying to create a round user own the controlled identity. We're the only company in the market right now with a product that's live and working today. There's been a lot of promises made and we're the first ones to actually deliver to companies like cook finance, for example, are seeing the benefit of being able to have their users go through a simple process to check in and authenticate into the application, using your NFT domain name, rather than having to create an email address and password combination as a login, which inevitably leads to problems such as lost passwords, password resets, all those fun things that we used to deal with on a daily basis. >>Okay. So now I got to ask you the kind of partnerships you guys are looking at doing. I can only imagine the old, old school days you had a registry and you had registrars, you had a sales mechanism. I noticed you guys are selling NFT kind of like domain names on your website. Is that a kind of a current situation? Is that going to be ongoing? How do you envision your business model evolving and what kind of partnerships do you see coming along? >>Yeah, absolutely. So we're working with a lot of different companies from browsers that took changes to wallets, to individual NFT projects, to more recently even exploring partnership, partnership opportunities with fashion brands. For example, the Tyree market is moving so so fast. And what we're trying to essentially do here is create the standard naming system for web three. So a big part of that for us, we'll be working with partners like blockchain.com and with circle who's behind the DC coin on creating registries, such as dot blockchain and dot coin and making those available to tens of millions and ultimately hundreds of millions and billions of users worldwide. We want an ensemble domain name to be the first asset that every user in crypto gets, even before they buy their Bitcoin Ethereum or dovish coin. >>It makes a lot of sense obstruct the way the long hexadecimal string. We all know that we all write down putting a safe, hopefully you don't forget about it. You know, I always say, make sure you tell someone where your addresses. So in case something happens, you don't lose all that crypto. All good stuff. I got to ask the question around the ecosystem. Okay, can you share your view and vision of either your purse, yourself or the company when you have this kind of new market, you have all kinds of, and we meant the web was a good example, right? Web pages, you need web development tools. You had HTML by hand. Then you had all these tools. So you had tools and platforms and things kind of came well, grew together. How was the web three stakeholder ecosystem space evolving? What's what are some of the white spaces? What are some of the clearly defined areas that are developing? >>Yeah, I mean, we've seen an explosion in new smart contract blockchains and the past couple of years actually going live, which is really interesting because they support a huge number of different use cases, different trade-offs on each. We recently partnered and moved over a primary infrastructure to polygon, which is a leading EVM compatible smart chain, which allows us to provide free gas fees to users for maintaining and managing their domain name. So we're trying to move all obstacles around user adoption. Here. We all need to have Ethereum in your wallet. You know, it'd be an unstoppable domains customer or user. You don't have to worry about paying transaction fees. Every time you want to update the wallet, addresses associated with your domain name. We want to make this really big and accessible for everybody. And that means driving down costs as much as possible. Yeah, >>It's a whole nother wave. It's a wave that's built on the shoulders of others. It's a shift and infrastructure, new capabilities, new new applications. I think it's a, it's a great thing. You guys doing the naming system makes a lot of sense. This abstraction layer creates that ease of use. It simplifies things makes things easier. I mean, this is, was the promise of, of these abstraction layers. Final question. If I want to get involved, say we want to do a cube NFT with unstoppable. How do we work with you? How do we engage? Can you give a quick plug on what companies can do to engage with you guys on a business level? >>Yeah, absolutely. So we're looking to partner with wallets, exchanges, browsers, and companies who are in the crypto space already and realize they have a huge problem around usability with crypto transfers and wild addresses. Additionally, we're looking to partner with decentralized applications as well as web to companies who perhaps want to offer log-in with unstoppable domain functionality. In addition to, or in replacement of the login with Google and log-in with Facebook buttons that we all know and love. And we're looking to work with fashion brands and companies in the sports sector who perhaps want to claim their unstoppable names, free of charge from us. I might add in order to use that on Twitter or other marketing materials that they may have out there in the world to signal that they're not only forward looking, but that they're supportive of this huge wave that we're all riding at the most. >>May I great insight, chief revenue officer ensemble domains. Thanks for coming on the showcase, the cube and unstoppable domain share in the insights. Thanks for coming on. Okay. This cubes coverage here with the unstoppable domain showcase. I'm John furrier, your host. Thanks for watching.

>>Hello, and welcome to the cubes. Special showcase with unstoppable domains. I'm John furrier, your host of the cube here in Palo Alto, California and Matt Gould, who is the founder and CEO of unstoppable domains. Matt, great to come on. Congratulations on the success of your company on stumbled domains. Thanks for kicking off this showcase. >>Thank you. Happy to be here. So >>Love, first of all, love the story you got going on here. Love the approach, very innovative, but you're also on the big web three wave, which we know where that leads into. Metaverse unlimited new ways. People are consuming information, content applications are being built differently. This is a major wave and it's happening. Some people are trying to squint through the hype versus reality, but you don't have to be a rocket science to realize that it's a cultural shift and a technical shift going on with web three. So this is kind of the what's happening in the market. So give us your take. What's your reaction? You're in the middle of it. You're on this wave. >>Yeah. Well, I would say it's a torrent of change and the get unleashed just over a decade ago with Bitcoin coming out and giving people the ability to have a digital items that they could actually own themselves online. And this is a new thing. And people coming, especially from my generation of millennials, they spend their time online in these digital spaces and they've wanted to be able to own these items. Do you see it from, you know, gaming and Fortnite and skins and Warcraft and all these other places, but this is really being enabled by this new crypto technology to just extend a whole lot more, uh, applications for money, which everyone's familiar with, uh, to, uh, NFT projects, uh, like boarding school. >>You know, I was listening to your podcast. You guys got a great pot. I think you're on a 117 episodes now and growing, you guys do a deep dive. So people watching check out the unstoppable podcast, but in the last podcast, man, you mentioned, you know, some of the older generations like me, I grew up with IP addresses and before the web, they called it information super highway. It wasn't even called the web yet. Um, but IP was, was generated by the United States department of commerce and R and D that became the internet. The internet became the web back then it was just get some webpages up and find what you're looking for. Right. Very analog compared to what's. Now, today, now you mentioned gaming, you mentioned, uh, how people are changing. Can you talk about your view of this cultural shift? And we've been talking about in the queue for many, many years now, but it's actually happening now where the expectation of the audience and the users and the people consuming and communicating and bonding and groups, whether it's gaming or communities are expecting new behaviors, new applications, and it's a forcing function. >>This shift is having now, what's your reaction to that? What's your explanation? >>Yeah, well, I think, uh, it just goes back to the shift of peoples, where are they spending their time? And if you look today, most people spend 50% plus of their time in front of a screen. And that's just a tremendous amount of effort. But if you look at how much, how much of assets are digital, it's like less than 1% of their portfolio would be some sort of digital asset, uh, compared to, you know, literally 50% of every day sitting in front of a screen and simultaneously what's happening is these new technologies are emerging around, uh, cryptocurrencies, blockchain systems, uh, ways for you to track the digital ownership of things, and then kind of bring that into, uh, your different applications. So one of the big things that's happening with web three is this concept of data portability, meaning that I can own something on one application. >>And I could potentially take that with me to several other applications across the internet. And so this is like the emerging digital property rights that are happening right now. As we transitioned from a model in web to where you're on a hosted service, like Facebook, it's a walled garden, they own and control everything. You are the product, you know, they're mining you for data and they're just selling ads, right? So to assist them where it's much more open, you can go into these worlds and experiences. You can take things with you, uh, and you can, you can leave with them. And most people are doing this with cryptocurrency. Maybe you earn an in-game currency, you can leave and take that to a different game and you can spend it somewhere else. Uh, so the user is now enabled to bring their data to the party. Whereas before now you couldn't really do that. And that data includes their money or that includes their digital items. And so I think that's the big shift that we're seeing and that changes a lot and how applications, uh, serve up to user. So it's going to change their user experiences. For instance, >>The flip, the script has flipped and you're right on. I agree with you. I think you guys are smart to see it. And I think everyone who's on this wave will see it. Let's get into that because this is happening. People are saying I'm done with being mined and being manipulated by the big Facebooks and the LinkedIns of the world who were using the user. Now, the contract was a free product and you gave it your data, but then it got too far. Now people want to be in charge of their data. They want to broker their data. They want to collect their digital exhaust, maybe collect some things in a game, or maybe do some commerce in an application or a marketplace. So these are the new use cases. How does the digital identity architecture work with unstoppable? How are you guys enabling that? Could you take us through the vision of where you guys came on this because it's unique in an NFT and kind of the domain name concept coming together? Can you explain? >>Yeah. So, uh, we think we approach the problem for if we're going to rebuild the way that people interact online, uh, what are kind of the first primitives that they're going to need in order to make that possible? And we thought that one of the things that you have on every network, like when you log on Twitter, you have a Twitter handle. When you log on, uh, you know, Instagram, you have an Instagram handle, it's your name, right? You have that name that's that's on those applications. And right now what happens is if users get kicked off the platform, they lose a hundred percent of their followers, right? And theirs. And they also, in some cases, they can't even directly contact their followers on some of these platforms. There's no way for them to retain this social network. So you have all these influencers who are, today's small businesses who build up these large, you know, profitable, small businesses online, uh, you know, being key opinion leaders to their demographic. >>Uh, and then they could be D platform, or they're unable to take this data and move to another platform. If that platform raised their fees, you've seen several platforms, increase their take rates. You have 10, 20, 30, 40%, and they're getting locked in and they're getting squeezed. Right. Uh, so we just said, you know what, the first thing you're going to want to own that this is going to be your piece of digital property. It's going to be your name across these applications. And if you look at every computer network in the history of computing networks, the end up with a naming system, and when we've looked back at DDA desk, which came out in the nineties, uh, it was just a way for people to find these webpages much easier, you know, instead of mapping these IP addresses. Uh, and then we said to ourselves, you know, uh, what's going to happen in the future is just like everyone has an email address that they use in their web two world in order to, uh, identify themselves as they log into all these applications. >>They're going to have an NFT domain in the web three world in order to authenticate and, and, uh, bring their data with them across these applications. So we saw a direct correlation there between DNS and what we're doing with NFT domain name systems. Um, and the bigger breakthrough here is at NMT domain systems or these NFT assets that live on a blockchain. They are owned by users to build on these open systems so that multiple applications could read data off of them. And that makes them portable. So we were looking for an infrastructure play like a picks and shovels play for the emerging web three metaverse. Uh, and we thought that names were just something that if we wanted a future to happen, where all 3.5 billion people, you know, with cell phones are sending crypto and digital assets back and forth, they're gonna need to have a name to make this a lot easier instead of, you know, these long IP addresses or a hex addresses in the case of Porto. >>So people have multiple wallets too. It's not like there's all kinds of wallet, variations, name, verification, you see link trees everywhere. You know, that's essentially just an app and it doesn't really do anything. I mean, so you're seeing people kind of trying to figure it out. I mean, you've got to get up, Angela got a LinkedIn handle. I mean, what do you do with it? >>Yeah. And, and then specific to crypto, there was a very hair on fire use case for people who buy their first Bitcoin. And for those in the audience who haven't done this yet, when you go in and you go into an app, you buy your first Bitcoin or Ethereum or whatever cryptocurrency. And then the first time you try to send it, there's this, there's this field where you want to send it. And it's this very long text address. And it looks like an IP address from the 1980s, right? And it's, it's like a bank number and no one's going to use that to send money back and forth to each other. And so just like domain names and the DNS system replace IP addresses in Ft domains, uh, on blockchain systems, replace hex addresses for sending and receiving, you know, cryptocurrency, Bitcoin, Ethereum, whatever. And that's its first use case is it really plugs in there. So when you want to send money to someone, you can just, instead of sending money to a large hex address that you have to copy and paste, you can have an error or you can send it to the wrong place. It's pretty scary. You could send it to John furrier dot, uh, NFT. And uh, so we thought that you're just not going to get global adoption without better UX, same thing. It worked with the.com domains. And this is the same thing for the coin and other >>Crypto. It's interesting to look at the web two or trend one to two web one went to two. It was all about user ease of use, right? And making things simpler. Clutter, you have more pages. You can't find things that was search that was Google since then. Has there actually been an advancement? Facebook certainly is not an advancement. They're hoarding all the data. So I think we're broken between that step of, you know, a free search to all the resources in the world, to which, by the way, they're mining a lot of data too, with the toolbar and Chrome. But now where's that web three crossover. So take us through your vision on digital identity on web to Google searching, Facebook's broken democracy is broken users. Aren't in charge to web three. >>Got it. Well, we can start at web one. So the way that I think about it is if you go to web one, it was very simple, just text web pages. So it was just a way for someone to like put up a billboard and here's a piece of information and here's some things that you could read about it. Right. Uh, and then what happened with web two was you started having applications being built that had backend infrastructure to provide services. So if you think about web two, these are all, you know, these are websites or web portals that have services attached to them, whether that's a social network service or search engine or whatever. And then as we moved to web three, the new thing that's happening here is the user is coming on to that experience. And they're able to connect in their wallet or their web three identity, uh, to that app and they can bring their data to the party. >>So it's kind of like web one, you just have a static web page whip, two, you have a static web page with a service, like a server back here. And then with three, the user can come in and bring their database with them, uh, in order to have much better app experiences. So how does that change things? Well, for one, that means that the, you want data to be portable across apps. So we've touched on gaming earlier and maybe if I have an end game item for one, a game that I'm playing for a certain company, I can take it across two or three different games. Uh, it also impacts money. Money is just digital information. So now I can connect to a bunch of different apps and I can just use cryptocurrency to make those payments across those things instead of having to use a credit card. >>Uh, but then another thing that happens is I can bring in from, you know, an unlimited amount of additional information about myself. When I plug in my wallet, uh, as an example, when I plug in to Google search, for instance, they could take a look at my wallet that I've connected and they could pull information about me that I enabled that I share with them. And this means that I'm going to get a much more personalized experience on these websites. And I'm also going to have much more control over my data. There's a lot of people out there right now who are worried about data privacy, especially in places like Europe. And one of the ways to solve that is simply to not store the data and instead have the user bring it with them. >>I always thought about this and I always debated it with David laundry. My cohost does top down governance, privacy laws outweigh the organic bottoms up innovation. So what you're getting at here is, Hey, if you can actually have that solved before it even starts, it was almost as if those services were built for the problem of web two. Yes, not three. Write your reaction to that. >>I think that is, uh, right on the money. And, uh, if you look at it as a security, like if I put my security researcher hat on, I think the biggest problem we have with security and privacy on the web today is that we have these large organizations that are collecting so much data on us and they just become these honeypots. And there have been huge, uh, breaches like Equifax, you know, a few years back is a big one and just all your credit card data got leaked, right? And all your, uh, credit information got leaked. And we just have this model where these big companies silo your data. They create a giant database, which is worth hundreds of millions of dollars, if not, billions, to be attacked. And then someone eventually is going to hack that in order to pull that information. Well, if instead, and you can look at this at web three. >>So for those of the audience who have used the web three application, one of these depths, um, you know, trade cryptocurrencies or something, you'll know that when you go there, you actually connect to your wall. So when you're working with these web, you connect, you, you know, you bring your information with you and you connect it. That means that the app has none of that storage, right? So these apps that people are using for crypto trading cryptocurrency on depths or whatever, they have no stored information. So if someone hacks one of these DFI exchanges, for instance, uh, there's nothing to steal. And that's because the only time the information is being accessed is when the users actively using the site. And so as someone who cares about security and privacy, I go, wow, that's a much better data model. And that give so much more control of user because the user just permissions access to the data only during the time period in which they're interacting with the application. Um, and so I think you're right. And like, we are very excited to be building these tools, right? Because I see, like, if you look at Europe, they basically pass GDPR. And then all the companies are going, we can't comply with that and they keep postponing it or like changing a little bit and trying to make it easier to comply with. But honestly we just need to switch the data models. So the companies aren't even taking the data and then they're gonna be in a much better spot. >>The GDPR is again, a nightmare. I think it's the wrong approach. Oh, I said it was screwed up because most companies don't even know where stuff is stored. Nevermind how they delete someone's entering a database. They don't even know what they're collecting. Some at some level it becomes so complicated. So right on the money are good. Good call out there. Question for you. Is this then? Okay. So do you decouple the wallet from the ID or are they together? Uh, and is it going to be a universal wallet? Do you guys see yourselves as universal domains? Take me through the thinking around how you're looking at the wallet and the actual identity of the user, which obviously is super important on the identity side while it, is that just universal or is that going to be coming together? >>Well, I think so. The way that we kind of think about it is that wallets are where people have their financial interactions online. Right. And then identity is much more about, it's kind of like being your passport. So it's like your driver's license for the internet. So these are two kind of separate products we see longer term, uh, and they actually work together. So, you know, like if you have a domain name, it actually is easier to make deposits into your wallet because it's easier to remember to send money to, you know, method, rules dot crypto. And that way it's easier for me to receive payments or whatever. And then inside my wallet, I'm going to be doing defy trades or whatever. And doesn't really have an interaction with names necessarily in order to do those transactions. But then if I want to, uh, you know, sign into a website or something, I could connect that with my NFT domain. >>And I do think that these two things are kind of separate. I think there's, we're gonna still early. So figuring out exactly how the industry is gonna shake out over like a five to 10 year time horizon. And it may be a little bit more difficult and we could see some other emerging, uh, what you would consider like cornerstones of the crypto ecosystem. But I do think identity and reputation is one of those. Uh, and I also think that your financial applications of defy are going to be another. So those are the two areas where I see it. Um, and just to, you know, a note on this, when you have a wallet, it usually has multiple cryptocurrency address. So you're going to have like 50 cryptocurrency addresses in a wallet. Uh, you're going to want to have one domain name that links back to all those, because you're just not going to remember those 50 different addresses. So that's how I think that they collaborate. And we collaborate with several large wallets as well, uh, like blockchain.com, uh, and you know, another 30 plus of these, uh, to make it easier for sending out and receiving cryptocurrency. >>So the wallet, basically as a D app, the way you look at it, you integrate whatever you want, just integrate in. How do I log into decentralized applications with my NFT domain name? Because this becomes okay, I got to love the idea, love my identity. I'm in my own NFT. I mean, hell, this video is going to be an NFT. Soon. We get on board with the program here. Uh, but I do, I log into my app, I'm going to have a D app and I got my domain name. Do I have to submit, is there benchmarking, is there approval process? Is there API APIs and a SDK kind of thinking around it? How do you thinking about dealing with the apps? >>Yeah, so all of the above and what we're trying to, what we're trying to do here is build like an SSO solution. Uh, but that it's consumer based. So, uh, what we've done is adapted some SSL protocols that other people have used the standard ones, uh, in order to connect that back to an NFT domain in this case. And that way you keep the best of both worlds. So you can use these authorization protocols for data permissioning that are standard web to API APIs. Uh, but then the permissioning system is actually based on the user controlled in FTE. So they're assigning that with their private public key pair order to make those updates. Um, so that, that allows you to connect into both of these systems. Uh, we think that that's how technology typically impacts the world is it's not like you have something that just replaces something overnight. >>You have an integration of these technologies over time. Uh, and we really see these three components in MTU domains integrating nicely into regular apps. So as an example in the future, when you log in right now, you see Google or Facebook, or you can type in an email address, you can see not ensemble domains or NFT, uh, authorization, and you can SSO in with that, to that website. When you go to a website like an e-commerce website, you could share information about yourself because you've connected your wallet now. So you could say, yes, I am a unique individual. I do live in New York, uh, and I just bought a new house. Right. And then when you permission all that information about yourself to that application, you can serve up a new user experience for you. Um, and we think it's going to be very interesting for doing rewards and discounts, um, online for e-commerce specifically, uh, in the future, because that opens up a whole new market because they can ask you questions about yourself and you can deliver that information. >>Yeah. I really think that the gaming market has totally nailed the future use case, which is in game currency in game to engagement in game data. And now bringing that, so kind of a horizontally scalable, like surface areas is huge, right? So, you know, I think you're, that's huge success on the concept. The question I have to ask you is, um, you getting any pushback from ICANN, the international corporates have name and numbers. They got dot everything now.club, cause the clubhouse, they got dot, you know, party.live. I mean, so the real domain name people are over here, web too. You guys are coming out with the web three where's that connect for people who are not following along the web three trend. How do they, how do you rationalize the, the domain angle here? >>Yeah, well, uh, so I would say that NFTE domains or what domains on DNS were always meant to be 30 plus years ago and they just didn't have blockchain systems back in the nineties when they were building these things. So there's no way to make them for individuals. So what happened was for DNS, it actually ended up being the business. So if you look at DNS names, there's about 350 million registrations. They're basically all small business. And it's like, you know, 20 to 50 million small businesses, uh, who, uh, own the majority of these, uh, these.com or these regular DNS domain names. And that's their focus NFTE domains because all of a sudden you have the, uh, the Walton, if you have them in your wallet and your crypto wallet, they're actually for individuals. So that market, instead of being for small businesses is actually end-users. So, and instead of being for, you know, 20 to 50 million small businesses, we're talking about being useful for three to 4 billion people who have an internet connection. >>Uh, and so we actually think that the market size we're in a few domains and somewhere 50 to 100 X, the market size for traditional domain names. And then the use cases are going to be much more for, uh, individuals on a day-to-day basis. So it's like people are gonna want you on to use them for receiving cryptocurrency versus receiving dollars or payments or USCC point where they're going to want to use them as identifiers on social networks, where they're going to want to use them for SSO. Uh, and they're not gonna want to use them as much for things like websites, which is what web is. And if I'm being perfectly honest, if I'm looking out 10 years from now, I think that these traditional domain name systems are gonna want to work with and adopt this new NFC technology. Cause they're going to want to have these features for the domain next. So like in short, I think NMT domain names or domain names with superpowers, this is the next generation of, uh, naming systems and naming systems were always meant to be identity networks. >>Yeah. They hit a car, they hit a glass ceiling. I mean, they just can't, they're not built for that. Right. So I mean, and, and having people, having their own names is essentially what decentralization is all about. Cause what does a company, it's a collection of humans that aren't working in one place they're decentralized. So, and then you decentralize the identity and everything's can been changed so completely love it. I think you guys are onto something really huge here. Um, you pretty much laid out what's next for web three, but you guys are in this state of, of growth. You've seen people signing up for names. That's great. What are the, what are the, um, best practices? What are the steps are people taking? What's the common, uh, use case for folks we're putting this to work right now for you guys? Why do you see what's the progression? >>Yeah. So the, the thing that we want to solve for people most immediately is, uh, we want to make it easier for sending and receiving crypto payments. And I, and I know that sounds like a niche market, but there's over 200 million people right now who have some form of cryptocurrency, right? And 99.9% of them are still sending crypto using these really long hex addresses. And that market is growing at 60 to a hundred percent year over year. So, uh, first we need to get crypto into everybody's pocket and that's going to happen over the next three to five years. Let's call it if it doubles every year for the next five years, we'll be there. Uh, and then we want to make it easier for all those people to sit encrypted back and forth. And I, and I will admit I'm a big fan of these stable coins and these like, you know, I would say utility focused, uh, tokens that are coming out just to make it easier for, you know, transferring money from here to Turkey and back or whatever. >>Uh, and that's the really the first step freight FTE domain names. But what happens is when you have an NFTE domain and that's what you're using to receive payments, um, and then you realize, oh, I can also use this to log into my favorite apps. It starts building that identity piece. And so we're also building products and services to make it more like your identity. And we think that it's going to build up over time. So instead of like doing an identity network, top-down where you're like a government or a corporation say, oh, you have to have ID. Here's your password. You have to have it. We're going to do a bottoms up. We're going to give everyone on the planet, NFTE domain name, it's going to give them to the utility to make it easier to send, receive cryptocurrency. They're going to say, Hey, do you want to verify your Twitter profile? Yes. Okay, great. You test that back. Hey, you want to verify your Reddit? Yes. Instagram. Yes. Tik TOK. Yes. You want to verify your driver's license? Okay. Yeah, we can attach that back. Uh, and then what happens is you end up building up organically, uh, digital identifiers for people using these blockchain, uh, naming systems. And once they have that, they're gonna just, they're going to be able to share that information. Uh, and that's gonna lead to better experiences online for, uh, both commerce, but also just better user experiences. >>You know, every company when they web came along, first of all, everyone, poo-pooed the web ones. That was terrible, bad idea. Oh. And so unreliable. So slow, hard to find things. Web two, everyone bought a domain name for their company, but then as they added webpages, these permalinks became so long. The web page address fully qualified, you know, permalink string, they bought keywords. And then that's another layer on top. So you started to see that evolution in the web. Now it's kind of hit a ceiling here. Everyone gets their NFT. They, they started doing more things. Then it becomes much more of a use case where it's more usable, not just for one thing. Um, so we saw that movie before, so it's like a permalink permanent. Yeah. >>Yes. I mean, if we're lucky, it will be a decentralized bottoms up global identity, uh, that appreciates user privacy and allows people to opt in. And that's what we want to build. >>And the gas prices thing that's always coming. That's always an objection here that, I mean, blockchain is perfect for this because it's immutable, it's written on the chain. All good, totally secure. What about the efficiency? How do you see that evolving real quick? >>Well, so a couple of comments on efficiency. Uh, first of all, we picked domains as a first product to market because, you know, as you need to take a look and see if the technology is capable of handling what you're trying to do, uh, and for domain names, you're not updating that every day. Right? So like, if you look at traditional domain names, you only update it a couple of times per year. So, so the usage for that to set this up and configure it, you know, most people set up and configure it and then it'll have a few changes for years. First of all, the overall it's not like a game problem. Right, right, right. So, so that, that part's good. We picked a good place to start for going to market. And then the second piece is like, you're really just asking our computer, system's going to get more efficient over time. >>And if you know, the history of that has always been yes. Uh, and you know, I remember the nineties, I had a modem and it was, you know, whatever, 14 kilobits and then it was 28 and then 56, then 100. And now I have a hundred megabits up and down. Uh, and I look at blockchain systems and I don't know if anyone has a law for this yet, but throughput of blockchains is going up over time. And you know, there's, there's going to be continued improvements over this over the next decade. We need them. We're going to use all of it. Uh, and you just need to make sure you're planning a business makes sense for the current environment. Just as an example, if you had tried to launch Netflix for online streaming in 1990, you would have had a bad time because no one had bandwidth. So yeah. Some applications are going to wait to be a little bit later on in the cycle, but I actually think identity is perfectly fine to go ahead and get off the ground now. >>Yeah. The motivated parties for innovations here, I mean, a point cast failed miserably that was like the, they try to stream video over T1 lines, but back in the days, nothing. So again, we've seen those speeds double, triple on homes right now, Matt. Congratulations. Great stuff. Final tick, tock moment here. How would you summarize short in a short clip? The difference between digital identity in web two and web three, >>Uh, in, in web too, you don't get to own your own online presidents and in web three, you do get to own it. So I think if you were gonna simplify it really web three is about ownership and we're excited to give everyone on the planet a chance to own their name and choose when and where and how they want to share information about themselves. >>So now users are in charge. >>Exactly. >>They're not the product anymore. Going to be the product might as well monetize the product. And that's the data. Um, real quick thoughts just to close out the role of data in all this, your view. >>We haven't enabled users to own their data online since the beginning of the internet. And we're now starting to do that. It's going to have profound changes for how every application on the planet interacts with >>Awesome stuff, man, I take a minute to give a plug for the company. How many employees you got? What do you guys looking for for hiring, um, fundraising, give a quick, a quick commercial for what's going on, on unstoppable domains. Yeah. >>So if you haven't already check us out@ensembledomains.com, we're also on Twitter at unstoppable web, and we have a wonderful podcast as well that you should check out if you haven't already. And, uh, we are just crossed a hundred people. We've, we're growing, you know, three to five, a hundred percent year over year. Uh, we're basically hiring every position across the company right now. So if you're interested in getting into web three, even if you're coming from a traditional web two background, please reach out. Uh, we love teaching people about this new world and how you can be a part of it. >>And you're a virtual company. Do you have a little headquarters or is it all virtual? What's the situation there? >>Yeah, I actually just assumed we were a hundred percent remote and asynchronous and we're currently in five countries across the planet. Uh, mostly concentrated in the U S and EU areas, >>Rumor to maybe you can confirm or admit or deny this rumor. I heard a rumor that you have mandatory vacation policy. >>Uh, this is true. Uh, and that's because we are a team of people who like to get things done. And, but we also know that recovery is an important part of any organizations. So if you push too hard, uh, we want to remind people we're on a marathon, right? This is not a sprint. Uh, and so we want people to be with us term. Uh, we do think that this is a ten-year move. And so yeah. Do force people. We'll unplug you at the end of the year, if you have >>To ask me, so what's the consequence of, I don't think vacation. >>Yeah. We literally unplug it. You won't be able to get it. You won't be able to get into slack. Right. And that's a, that's how we regulate. >>Well, when people start having their avatars be their bot and you don't even know what you're unplugging at some point, that's where you guys come in with the NFD saying that that's not the real person. It's not the real human And FTS. Great innovation, great use case, Matt. Congratulations. Thanks for coming on and sharing the story to kick off this showcase with the cube. Thanks for sharing all that great insight. Appreciate it. >>John had a wonderful time. All right. Just the >>Cube unstoppable domains showcasing. We got great 10 great pieces of content we're dropping all today. Check them out. Stay with us for more coverage on John furrier with cube. Thanks for watching.

>>Hello, and welcome to the cube special presentation of unstoppable domains partner showcase. I'm John furrier, your host of the cube. We got a great conversation talking about the future of the infrastructure of web three, all around domains, non fungible tokens, and more two great guests. Charlie Brooks, with business development of ensemble domains, and Michael Williams, product leader and advisor with unstoppable doing gentlemen, thanks for coming on the cube partner showcase with unstoppable domains. >>Thanks John. Excited to be here. So >>I love what you guys are doing. Congratulations on all your success. You guys are on the leading edge of what is a major infrastructure shift. Web three is being called, but people who have been doing this for a while, know that you see the blockchain, you see decentralization, you see immutability, all these future smart contracts. All the decentralized applications are now hitting the scene and NFTs are super hot as, as, as you can imagine, you guys are in the middle of it. So you guys are in, in, in the sweet spot of what I call the pragmatic pioneers. You guys are to building solutions that are making a difference like single sign-on. You have the login product, let's get into it. What is the path to I digital identity beyond the web, because we know what web identity is, but now that the web is kind of being abstracted away by this new web three layer, what is digital identity? >>Yeah, I can take that one. So I think what we're really seeing is this transition away from a purely physical identity where your digital life or where your, your online identity is really just a reflection of the, the parts of your physical identity, where you live, where you go to school, all of these things. And we're really seeing this world emerge where your online identity becomes much more of a primary. So if you have a way that you represent yourself in the online world, whether that's an Instagram account or TechTalk or email address or username, all of these things together make up your digital identity. So congrats. If you have any of those things, you already have one. >>Yeah. And we see that all the time with link tree people put their link tree out there and it's got the zillion handles. You're right. We all get up to Instagram and everyone's got like zillion identities. Is that a problem or an opportunity? >>I think it's just a reality. The fact that as our identities are spread across all of these different services and platforms that we use, the problem with something like link tree is that it is owned by link tree. You know, if I won the lottery purchased link tree and decided I wanted to change your personal website, John, I could easily do that. Moving to the kind of architecture that we have. And then if T architecture changes that significantly, it puts a lot of power back in the hands of the people who actually own those identities. >>You know, I do a lot of cube showcases with folks rent on my machine, learning and AI, and the number one conversation that they bring up. The number one issue is data. And they say when data is siloed and, and protected and owned, it is not optimized for machine learning. So I can almost imagine, as you bring NFTs to the digital identity, you mentioned you don't own your identity. If someone else is managing the service like link tree, this is, this is a cultural shift. This is an infrastructure software shift at the same time. Can you guys expand more about what you guys are doing with the NFT and ensemble domains with respect to that digital identity, because is that power shifting to the users now? And how does that compare to what's out there today? >>Sure. I think so. Our domains are NFTs, so they are ERC 7 21 tokens. And if you think about the past kind of web two identities are controlled by the platforms that we use, Twitter, Facebook, whatnot. There's a really a lack of data portability there. Our accounts and data live on their servers. They can be deleted at any time. So using an NFT to anchor your digital identity really gives you full control over your identity. You can't, it can't be deleted. It can't be revoked or edited or changed without your permission. And really, even better than information you store on your entity domain can be plugged into the services you use so that you never have to enter the same data twice. So when you go from platform to platform, everything can be tied to your existing domain. You're not going to a new site, kind of entering their ecosystem and providing all this information time and time again, and not really having a clear understanding of how your data is being used and where it's being stored. >>So the innovation here is the NFT is your identity and, and a non fungible token NFT is different than say a fungible tokens. So for the folks out there, that's trying to follow the bouncing ball. Michael, what's the difference between an NFT and a fungible token. And how does, and why is that important for identity? >>Yeah. My favorite metaphor here is baseball cards versus like dollar bills. So a dollar bill is fungible. If I have a dollar and then you have a dollar, we can trade dollars. And none of us is richer or poorer. If I have a babe Ruth and you have a Hank Aaron, and we swap baseball cards, like we have, we have changed something fundamental. So the, the important thing about NFT is, is that they are non fungible. So if I have a domain and you have a domain, like I have that identity and you have that identity, they are unique. They're independent, they're owned by each one of us. And then we can kind of swap them interchangeably. >>And that's why you're seeing NFTs hot with art and artists, because it's like a property, it's a property issue, not so much absolutely changeable, a divisible kind of asset. >>It is a, it is ownership rights in digital >>Form. Yes. All right. So now let's get into what the, the identity piece. I think I find that interesting because if I have something that's an NFT, it's not fungible. It's unique to me. It's property, my property, my login, this sounds compelling. So how does log-in work with the NFT? Can you guys take us through that, that architecture, what does it do? How does it work? And what's the benefit? >>So the way our login product works is it effectively uses your NFT domain. So Michael dot crypto, for example, as the authentication piece of a, of a login session. So basically when I, when I go and I try to log in with my domain, I type in Michael dot crypto. I sign it with my wallet, which cryptographically proves that I am this human. This is me. I have the rights to log in. And then when I do so I have the ability to share certain parts of my identity information with the applications that I use. And so it really blends the best of the ease of use from web to have just a standard like login with Gmail SSL experience, with all of the security and privacy benefits of web three. >>How important is single sign-on because, I mean, right now people are used to like, seeing things like log with your kid hub handle or LinkedIn, or, you know, Google, apple. I mean, you're seeing people offering login. Okay. What's the difference here from those solutions and why is it make sense for the user? >>Sure. Yeah. The big differences, what we're building is really user first. So if you think about traditional SSOs, you are the product. When you use their product, they're selling your data and, you know, they're tracking everything you do logging in with unstoppable handles, not only authentication, but data sharing as well. So when you log in a domain or owner can choose to share aspects of their online identity, such as first name, preferred language profile, picture location. So this is a user controlled way of using a sign-on, where they are permissioning, these different pieces of their identity. And really apps can use this information to enable new experiences, such as for example, website might automatically enable high contrast mode for someone visually impaired. It could, pre-populate your friends from a decentralized social graph. So what we're doing is taking the best parts of web to SSL and combining them with the best parts of web three. >>So no more losing your password entering in the same data, hundreds of times, you know, depending on other services, keep your information safe. Logging with unstoppable really puts you in complete control of your data. And, you know, a big part of that is you're not going to have 80 plus usernames and passwords anymore. You know, we have these tools like password managers that exist to kind of put a bandaid on this issue, but it's not really a long-term solution. So we're, we're building is really seamless onboarding where everything can be tied to your domain so that you can navigate to different apps in a much more seamless way. >>Michael, I got to get your thoughts on this because on the product side, it's interesting. My mind's kind of connecting some dots if I have, first of all, great convenience to reduce all those logins, right? So, you know, check their little pain, pain reduction. But when you think about what's different, I can now broker my data as well as log in. So let's just say, hypothetically, I'm cruising around some D apps and, you know, doing things and earning reputation or attention or points or whatever, tokens utility tokens. There could be a way for me to control what I own. I'm the product I own the data. Is that kind of where this is going? >>I think it's definitely a direction. It could go say, for example, if I'm a e-commerce platform and I'm trying to figure out where I'm going to place a new billboard, you know, one of the things that I could request from a user is their address. I can figure out where they live, what city they're in that will help inform the, the decision that I need to make as a business. And in return, maybe I give that person a dollar off their purchase, right? Like we can, we can start to build a stronger relationship between the applications that people use and the people that use them and try to optimize that whole experience and try to just transfer information back and forth to make everyone's lives better. >>What's the roadmap on the business side, Charlie, when you see companies kind of adopting it, they're probably taking baby steps or crawling before they walk they're walking before they run. I mean, I can see decentralized applications in the future, whether it's FinTech or whatever, having new kinds of marketplaces that take advantage of the paradigm where the, the script flips to the user first. Okay. So I see that. How do people get started now? What are some of the success momentum points that you're seeing companies do now with unstoppable? >>Sure. So a lot of web three apps are very sensitive about respecting the, the information that their users are providing, right? So what we're doing is I'm offering different ways for apps can touch with their users in a way that is user controlled. So an example there is that a lot of web three companies will use wallet connect to allow users to log in using a wallet address, an issue. There is that one person can have hundreds of wallet addresses, and it's impossible for the app to understand that. So what we do is we use login, we attach an email address, some other pieces to a wallet address so that we can identify who a unique user is. And the app is able to collect that information. They don't have to deal with passwords or PII storage. They have access to a huge amount of new data for an improved UX. >>It's really simple to implement and maintain as well. So one example there is if you are a DFI platform and you want to reward your users for coming to their site for the first time, now that they can identify unique user, they can drop a token into that user's wallet all because they're able to identify that user as unique. So they have a better way of understanding their customers. They enable their customers to share data. A lot of these companies well ask users to follow them on Twitter or discord when they need to provide updates or, you know, bug bounties, all these different things and log in with unstoppable, lets them permission, email addresses so they can collect emails if they want to do a newsletter. And instead of sort of harvesting data from elsewhere and kind of forcing people to join this newsletter program, it's all user controlled. So each user saying, yes, you can use my email for your newsletter. You know, I'm supporting your project, want to be kept up to date with bugs or bounties or rewards programs. So really it's just kind of a, a better way for users to, to share the data that they're willing to with dApps and dabs can use it to create all sorts of incentives and really just kind of understand their users on a, on a different level. >>How has the development Michael going on the, on the smart contract side of the business, you know, theories has always been heralded as being very developer focused. There's been great innovations. Just, you still got, you know, gas fees out there. You still gotta do some things. How is the development environment, how are the applications coming? Cause I can see the really, I can see the flywheel kicking in as a developer, Frank gets more streamlined, more efficient, and now you've got the identity piece nailed down. I just see a lot of kind of dominoes falling at the same time. What's the status on the dev side? >>What's your tour? The fascinating thing about crypto is how quickly it changes. You know, when I, when I joined Ethereum was pretty reasonable still for transactions. It was very cheap to get things done very fast. We've looked at last summer that things went completely out of control. This is a big reason that unstoppable for a long time has been working on a layer two and we've moved over to the Pollyanna, our primary source of record, which is built on top of it. The area of course, I think saved well over a hundred million dollars in Gaspe is for our users that we're constantly keeping an eye on new technologies that are emerging, weighing how we can incorporate those things and really where this industry is going to take us. You know, in many ways we are, are just as much passengers as the other people floating around the ecosystem as well. >>Yeah, it's, it's certainly getting faster every day and seeing a huge uptake on a theorem. I heard a stat that most people at the university of California, Berkeley, 30% of the computer science students are dropping out to join web three companies just goes to show you this cultural shift and you can see a lot more companies getting involved. So I got to ask you Charlie, on the biz dev front, how are companies getting started? What's the playbook? Are they putting their toe in the water? Are they jumping in full throttle? What's, what's the, what's the roadmap. What's the best practice for people to get started with unstoppable? >>Absolutely. You know, we're lucky that we get a lot of inbound interest from companies web two and web three because they first want to secure their domains. And we do a ton of work on the backend to protect trademark domains. We want to avoid squatting as much as possible. You know, we don't think that's the spirit of, of weaponry at all. And certainly not what the original intention of the internet was. So fair amount of companies will reach out to, out to us to get their domain. And then we can have a longer conversation about some of the other integrations and ways we can collaborate. So certainly visiting our website and several domains.com is a great starting point. We have an app submission page where asking, reach out to us, even request a grant. We have a grant prop, a program to help developers get started, provide them some resources to, to work with us and integrate some of our technology. >>We have great documentation as well on the site. So you can read all about what it takes to resolve domains, if you're a water and an exchange, as well as what it takes to integrate login within softball, which is actually a super easy integration as well, which we're, we're really excited about. So yeah, I'd say check out the website apply for our grant. If you think you're a fit there, then of course, people can always reach out to me directly on Twitter, on telegram email. We're very reachable and, and we're always happy to chat with projects and, and learn more about what they're doing. >>What's the coolest thing you've seen going on trial with your partners right now. What's, what's the, what's the number one use case that's cool that people are jumping on right now to get in and get some, some, you know, some success out of the gate. >>Yeah. Maybe, maybe gamefied kind of played, earns huge. It's blowing up. And the gaming community is really passionate, vibrant, just expanding like crazy same with there's all this cool new stuff you can do with defy where no matter, you know, how many, how, how big your kind of portfolio is, you're you're able to stake and use all these interesting tools to kind of grow your book. So it's super exciting to see and talk to all these projects and, you know, there's certainly kind of an energy in the community where everyone wants to onboard the general public to web three, right? So we're all working on these school projects, but we need everyone to come over from web to kind of understand the advantages of defy of game fi of having an empty domain. So I'm lucky that I'm kind of one of the first layers there of, of meeting new projects and kind of helping them get access to more users so that they can grow along with. >>Yeah. I remember the early days of Bitcoin and Ethereum, we were giving it away to give the, the community manager was give a, give a Bitcoin to someone that was when it was, you can actually give a Bitcoin to someone what's the, what's the word of mouth or organic viral. I won't say growth hack because that's got negative connotations, but what's the community's way of putting forth the mission for unstoppable. Is it just more domains you guys have any programs got going on? Is it give it away? I'll see you, you can get domains on your site, but what's the, what's the way to get people in gray shaded in and getting comfortable. >>Yeah. So much of what we do is really just all of that, to all that question, to answer that question, we spent a ton of time and energy just on education and whether that's specifically around domains or just general led three, we have a podcast which is pretty exceptional, which talks to what three leaders from across the space and makes the projects that they're working on more accessible. I think we passed over a hundred episodes, not too long ago. There's a ton of stuff that we do that other people do. If anyone has questions, I'm happy to talk about resources. >>Yeah. The part I think you guys are up to one 17, but that's a deep dive that you guys go deep on the podcast. So that's, you know, where you go in, what else is new on digital identity? Where do you guys see the future going now that you get the baseline identity with the NFT? It makes a lot of sense. Create innovation. Good logic makes sense. Solid. Technically what's next. >>Yeah. I think that's really boils down to the way that the internet has grown. Doesn't really feel like the way that the internet should be like our data shouldn't live in these walled gardens controlled by these large companies. Like ultimately people should be responsible for their own identity it's they should have control over the things that they do online, the data that's shared or the benefit of that data. And so the world that we are working towards is very much that where we are giving people the ability to be paid for sharing their data with companies, we're giving applications, the ability to request information from the people that use those applications to improve their experience. We're really just trying to make connections across the ecosystem, through these products to enable a better experience for everyone. So whether that's the, the use cases that I mentioned already, or maybe viewing reviews on something like Yelp or Amazon that just confirmed that the person that you are looking at is actually a real person, not some bot that's been paid to to the loader review. Like the, the interesting thing about these products is they're so universally applicable, applicable. There are so many different games that we can try to plug them in. So have >>It's a great example. It's double-edged sword. You can have a, a metaverse image and have pre-programmed conversations with, with, you know, liquid audio and the video application, you know, or it's a real person. How do you know the difference? You, these are going to be questions, you know, around, around who solves that problem. Now this is time for bots and is it time not for bots? We all know what happens when you get into the, you know, the game of manipulation, but also it can be helpful. This is where you gotta be smart and identity is critical in this future. Charlie, what's your reaction to the future of digital identity? I mean so much to look at here on the trajectory. >>Yeah. You know, I think a big part of it is data portability, right? If you go to a site like Instagram, you're giving them all this content that's very personal to you and you can't just pack up and leave Instagram. So we want a future where most of these apps are just kind of a front end and you can navigate from one to the other and bring your data with you and not be beholden to the companies that operate centralized servers. So I think data portability is huge and it's going to open up a lot of doors. And, and just going back to that thought on kind of cleaning up web two for a better web three. When I think about the Amazons, the Alps, the Yelps of the world, they're all these bots are all these awful fake reviews. There's a lot of gamification happening that is really just creating a lot of noise. >>And I want to bring kind of transparency back to the internet, where when you see a review, you should know that that's a real human and blockchain technology is enabling us to do that. And certainly enough, two domains are going to play a huge part of that. So I think that having an experience where, you know, and trust the people that you're interacting with is going to be really powerful and just a better experience for everyone. And there's a lot of ramifications with that. You know, politically speaking, we've, we've all seen all the issues with kind of attacking communities and using bots and fake accounts to kind of hit people's pain points is it's kind of sad and, and certainly not something that we want to see continue happening. So whatever we can do to kind of give people their digital identity and help people understand that this is a real person on the other end, I think is huge for, for the future of the internet and really for society as well. >>That's a great call out there. Charlie cleaning up the mess of web 2.0 web two. Well, actually I was, it was 2.0 technically now web three is no nos 0.0 in it, but, but I saw on our listen to the podcast with Matt, this recent one, and he had a great metaphor that went back to when I was growing up in the internet, you got IP addresses, right? And the mess there was, it was, you couldn't find what you want to look and no one could remember what to type in. Cause you can type in IP addresses in the browser back then. And then DNS came out and then keywords that's web. Okay. Now that mess now is fraud. Misinformation, bot manipulation, deep fakes, many other kind of unwanted kind of time to innovate. And every year, every time you had these inflection points, there'd be an abstraction on top of it. So similar thing happening here is that you guys see it too. >>Yeah. I think we're going back to some of the foundational architecture of the internet DNS and really bringing that forward about 30, 40 years in terms of technology. So loading in some work cryptography and some other fancy things to help patch some of those issues from the previous versions of the web. >>Yeah. Awesome. Well guys, thanks so much for coming on and the spirit of our tick talk, you know, I'm only summarize this. Can you guys give us a quick tick tock moment, short comment on, you know, where this is all going, whereas log-in single sign on mean and what should people do to take steps to secure their digital identity? >>Sure. I'll jump in here. So it's time for people to secure their digital identity. That great first step has gone on several domains and getting an entity domain. You know, you can control your data. You can do a lot of cool different things with your domain, including posting your own website that you own forever. And no one can take it away from you. I would certainly recommend the people join. Our discord, telegram community is check out our podcasts. It's really great. Especially if you're new to crypto web three, you know, we do a great job of sort of explaining all the basic concepts and expanding on them. So yeah, I'd say, you know, the time is now, so to get your digital identity and start embracing web three, because it's really exploding right now. And there's just so many incredible advantages, especially for the user, >>Michael, what's your take? >>I mean, I put not, I've said it better myself. >>Like we always say, if you're not on the next wave, your driftwood, and this is a big wave it's happening. It's pretty clear guys. It's it's there, it's happening now. And again, very pragmatic implementations of solving problems. The sign-on the app integration. Congratulations. And we've got our cube domain too, by the way. So we're we're I think we're good. You know, so we've got to put it to you. It's appreciate it, Charlie, Michael, thanks for coming on and sharing the update. Okay. This is the cube with unstoppable domains partner showcase, shout for your hosts. Got a lot of other great interviews. Check them out. We're going to continue our coverage and continue on with this great showcase. Thanks for watching.

from the cube studios in palo alto in boston bringing you data driven insights from the cube and etr this is breaking analysis with dave vellante predictions are all the rage at this time of year now on december 29th 2020 in collaboration with eric porter bradley of enterprise technology research etr we put forth our predictions for 2021 and the focus of our prognostications included tech spending remote work productivity apps cyber security ipos specs m a data architecture cloud hybrid cloud multi-cloud ai containers automation and semiconductors we covered a lot of ground now over the past several weeks we've been inundated with literally thousands of inbound emails pitching us on various predictions and trends in these and other areas here's my predictions folder and this is only a portion of the documents that i've received by email obviously printed them out killed a few trees sorry hello and welcome to this week's wikibon cube insights powered by etr in this breaking analysis we're going to review briefly each of our predictions for this past year 2021 and suggest a grade as to how we did we're going to do this as a little warm up for our 2022 predictions which we'll be doing in the next over the next couple of weeks now before we dig in i want to make an observation many of the predictions that we received they were observations of trends and sometimes not really predictions or you know or not surprising we got a lot of self-serving marketing statements you know predictions in our view they should be measurable so you can look back and say okay did they get it right now granted there are gray areas so that's why we'll use a grading system today now there are also many really well done and thought-provoking predictions and there's an example of one that we received that is strong it's from equinix cio milan waglay who said within the decade data centers will be powered by a hundred percent renewable energy okay so you know that's clear and we can measure that but anyway thanks to all the pr folks who sent along like i said literally thousands of predictions we tried to read them all but the volume over the past week or so was just so overwhelming and we'll try to scan them before we do our 2022 predictions but today we want to do that warm up by evaluating how we did in 2021 so let's get started our first prediction was that tech spending would increase by four percent this year coming off of what we had thought was a contraction in 2020 and depending on which data you look at you know best case maybe was flat we definitely correctly called the continuation into 2022 of the remote work trend and the positive impact it would have on pcs and the like but we underestimated the shape of that rebound that that spend back curve idc has tech spending wrote this year at five and a half percent so we feel like while we called the bounce back it was more pronounced than we had thought in fact you know we think that idc number is probably going to go up even higher and we'll address that in our 2022 predictions so so we'll give ourselves a b minus here okay next prediction was remote worker trends become fossilized settling in at an average of 34 percent by year end 2021. so on average 34 of the workers would be remote by the end of this year now you know we made the call but we missed delta no we missed omacrom we said 34 remote which would be 2x the historical norms now the etr data suggests it was 52 in september and it's probably going to be somewhere in the 40 to 45 range by by the end of this month into december and the thing is 75 of the workforce is probably still working either fully remote or in a hybrid model and hybrid work is probably going to be the dominant trend and we're going to have to revisit that framework or how we think about this whole structure and we'll do that again in our 2022 predictions so we'll give ourselves a c on that one we'll take some credit for the permanence of the trend but the percentage was well off the mark you know thanks to the variance as well as some cultural shifts that whole hybrid notion okay so hey not really a great start for eric and me but we rebound with the next one the productivity increases we said seen in 2020 will lead organizations to double down on the successes and certain productivity apps will benefit so to measure this we said let's take a look at the most recent quarterly earnings and gauge the revenue growth year on year as an indicator docusign was up 42 smartsheet who we also called up was up 46 in revenue twilio up 65 zoom growth was 35 down from 325 confirming our layup call the zoom growth would moderate it had nowhere to go but down and microsoft teams has never been more ubiquitous has never seen greater adoption with hundreds of companies having a hundred thousand or more users and thousands of companies with ten thousand users or more so we really feel like we nailed this one so we're gonna give us give ourselves an a plus okay so now on to cyber it's an area that we've been making calls in for a couple of years now and we're really pleased looking back here we said permanent shifts in cso strategies are going to lead to share shifts in network security now we said to give you more detail maybe that sounds like an easy one but we said specifically identity cloud security and endpoint security would continue to benefit and we specifically named crowdstrike octa zscaler and a few others that are targeting their growth rates now gartner has the security market growing at 11 percent octa and zscaler revenues last quarter grew at 62 percent year over year crowdstrike 63 illumia we also called out they raised 225 million dollars on a 2.75 billion valuation on the strength of its growth that was in september now akamai acquired guardiocor for 600 million dollars another company we called out that they would do it they did that as a ransomware protection play and they paid a huge revenue multiple for the company and it seems the guys listed on the last line are all talking about subscriptions sas arr remaining performance obligations or rpo so we feel very good about this look back we'll take an a on this one no it's not an a plus because we're too conservative on the growth of octa crowdstrike and zscaler topping at 50 they they blew that away by another 10 points or so 10 to 15. but look pretty good call nonetheless okay again the next one you might feel like is a layup but not really so we said the increased tech spend would drive even more ipos spax and m a according to spac analytics ipos were up 109 this year the spac attack continued up 109 percent in 2021 on top of a record 2020 and according to kpmg m a dollar volume was up 19 okay you might say uh that was easy call but there was much more underneath this prediction we called out uipass ipo which was a lock but also said automation anywhere would go public uipath did aa didn't we did correctly call the hashicorp ipo we said they'd either get go ipo or get acquired and cloud flare grew revenue 219 percent last quarter but akamai was not acquired so the degree of difficulty on the overall prediction wasn't high but the automation anywhere in akamai events we made those calls that didn't happen and those were you know obviously tougher calls so we think this still deserves a b grade all right as you know data is one of our favorite subjects and we've reported extensively in the successes and failures of so-called big data we said next in the next prediction that in the 2020s 75 percent of large organizations will re-architect their big data platforms and we said this would occur you know in earnest over the next four to five years now again you may say duh dave but you have to evaluate the prediction based on the underlying comments here the jury is still out on things like snowflakes data cloud but we absolutely believe that it's the right direction but then you have then you have data bricks coming in taking a different approach they're coming at the problem from a data science angle trying to take on traditional bi and then you get snowflake coming from the analytics space and moving into ai and data science and you know we asked at aws aws re invent we asked benoit dejaville on the cube if there needs to be a semantic layer to bring these two worlds together and he said yes and that's what he claims snowflake is building meanwhile you got the big whales like oracle they continue to invest in their capabilities to try to eliminate data movement and then there's aws taking a totally different approach to data where it gives customers maximum optionality of offerings and database and other services and you can't forget microsoft and google so many customers might not take the steps that we predicted because they're comfortable where they are specifically we're talking about here a shift toward domain ownership and data product thinking and the reorganization of hyper-specialized technical teams many of the principles put forth by data mesh and we've said this change is going to take a number of years to play out four to five years so we start noticing in 2021 that that's clearly been the case as we reported on parts of jpmorgan chase uh rethinking its data architecture hellofresh and many others so this is still an incomplete the professor we'll give ourselves an incomplete on this one but we think it's trending in the right direction okay the next one is always fun discussion that's the battle to define hybrid and multi-cloud we said that's going to escalate in 2021 and we'll create bifurcated cio strategies now here we go aws sees the world as bringing its apis and primitives and model to the edge and the data center to aws is just another edge node and the company says that in still believes in the fullness of time that all data will be in the cloud however that's defined and aws awareness would say all this talk about hybrid of connecting on-prem to a cloud they would flat out say adam silipsky told us this that's not cloud is what he said then on the other side of the table you have the likes of cisco dell hpe etc saying hold on cloud is an operating model it's not a place and aws might say yeah and aws along with its customers is defining that operating model and these other guys would say no actually you're not we are with our customers and this battle 100 percent escalated in 2021 with the launch of apex by dell hp e double down on green lake cisco's as the service models and then of course oracle which actually announced a true same same public to on-prem hybrid capability two years before aws announced outpost and of course oracle's executing on that strategy in earnest in 2021 and the other nuance here is a concept that we introduced called super cloud which refers to the notion that look something like for example multi-cloud is not about running within a respective cloud it's not about cloud compatibility rather it's about abstracting the complexity of the underlying cloud primitives and building value on top of those cloud services on top of the investments in capex that the hyperscalers have made now some people didn't like the term super cloud maybe uber cloud would be a better term we're going to continue to use it to describe this capability we think it has meaning and we're seeing new examples like goldman sachs's financial cloud running on top of aws so a super cloud is not as an application or a suite of applications running on a single cloud now if those applications span multiple clouds like like snowflake is trying to do okay that's a service that could span multiple clouds or in the case of goldman sachs it's a portfolio of data tools and software that's made accessible as a service that floats on top of a single or even multiple clouds regardless we feel that this was a correct call given the evidence and we'll give ourselves an a minus taking points off for the somewhat anecdotal and observational measurement system that we apply to look back at this prediction okay the next prediction was we made was cloud containers ai and ml automation uh are gonna power that those big four are gonna power 2021 spending here's a graphic we use to predict that it plots survey data for the various technologies within the etr taxonomy net score or spending momentum on the vertical axis and market share or presence in the data set it's a pervasive measurement on the horizontal axis the one that matters here is the vertical that dotted line of 40 percent anything above that is considered highly elevated and these four areas have held served this year based on recent etr survey data that we're not showing here we'll we'll bring that into our 2022 prediction so this prediction came in correctly for the most recent survey data and that's our measurement system on this one so we're going to take an a for this one too now on the penelope ultimate prediction here we came back to automation saying that the automation mandate accelerates in 2021 uipath and automation anywhere we said would go public but microsoft remains a threat to these pure play rpa vendors well we gave ourselves a b on this one doubling down on automation anywhere going public you know that was wrong but we definitely saw this year companies leaning hard into automation and microsoft despite the fact that it doesn't have as feature rich a product and offering as uipath and automation anywhere microsoft remains a very large presence you know we spoke to a lot of customers at the uipath forward four event in october in las vegas physical event and they confirmed you know this is true but at the same time so they're using power automate from microsoft but also using in this case uipath so they've kind of confirmed that yeah it's not the same we use that for some of our productivity we're an azure customer it's easy for us but they're still leaning heavily and investing heavily into uipath and i think the same can be said for automation anywhere but autom but power automate shows up as a big time leader in the magic gartner magic quadrant so it can't be ignored but clearly the two leaders in rpa have a sizable product advantage relative to the legacy software players now if you look at the comment on pega systems they cooled off a bit as measured by their stock price their revenue grew 13 percent last quarter on a year-on-year basis but perhaps we overestimated the tailwind effect and the company's momentum so we'll take a b on this prediction correct call on the automation trend and the big software vendors piling in ibm et cetera but the chance we took on automation anywhere again was a miss so we'll dig ourselves on that and our last prediction for 2021 was 5g rollouts push new edge iot workloads and necessitate new system architectures now much of this prediction you can see in the underlying bullets here really related to the observation that arm was dominating at the edge it would find its way into the mainstream enterprise workloads and we've been asking a lot of the mainstream you know companies the oems you know what do you what do you see with with arm in the enterprise and they say yeah we don't see it yet but very clearly this came into focus in 2021 is aws announced graviton 3 now and new inference and new training silicon these are different types of workloads that are emerging in the enterprise these are all based on arm microsoft google alibaba oracle and others are now shipping or readying arm-based systems for the enterprise when you look at new storage network and security appliances and other systems they're very offering and often including arm-based processors to assist with the offloads and look intel is definitely under product under pressure as we've predicted many times not just in our predictions post even pat gelsinger has admitted this is a turnaround it's going to take at least five years that's kind of new and recent data that he's made public so we're going to take an a minus on this one we're going to take off some points for the fact that you know 5g rollouts in edge are evolving and this is a longer term trend but the underlying points that we made on this slide are still pretty solid now if we use the following scale where a plus is a hundred out of a hundred a minus is a 90 a b is an 85 a b minus is an 80 and a c is a 75 out of 100 and we exclude that incomplete prediction on data architectures we average out to an 87.8 so that's a solid b plus and so the professor in us said hey little yellow sticky good effort as most of the predictions could be quantified and or you know we tried to object objectively score them there were some layups in there so yeah maybe we'll try to take more risks uh you know or not you know we we we'll see we like winning and so you know you always have to couch some of these things with some obvious ones but but really try to give some detail underneath that's maybe non-obvious um and we'll try to keep it down in the legs we did this year to one or two multi-year predictions so what's next well eric bradley and i were working on our 2022 predictions we're going to release those in the next couple of weeks so stay tuned for that you know what do you think how did we do you know we're grading ourselves here love to know you know for we're off base on base we're too hard on ourselves too easy give us your feedback don't forget these episodes are all available as podcasts wherever you listen all you do is search breaking analysis podcast check out etr's website at etr dot plus remember we also publish a full report every week on wikibon.com and siliconangle.com you can always get in touch with email david.velante at siliconangle.com you can dm me at divalante or comment on our linkedin posts this is dave vellante for the cube insights powered by etr have a great week everybody stay safe be well we'll see you next time [Music] you