 From theCUBE studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. The pandemic has changed the way we think about and predict the future. As we enter the third year of a global pandemic, we see the significant impact that it's had on technology strategy spending patterns and company fortunes. Much has changed. And while many of these changes were forced reactions to a new abnormal, the trends that we've seen over the past 24 months have become more entrenched and point to the way that's coming ahead in the technology business. Hello, and welcome to this week's Wikibon Cube Insights, powered by ETR. In this Breaking Analysis, we welcome our partner and colleague and business friend Eric Porter Bradley as we deliver what's becoming an annual tradition for Eric and me, our predictions for enterprise technology in 2022 and beyond. Eric, welcome. Thanks for taking some time out. Thank you, Dave. Luckily, we did pretty well last year, so we were able to do this again. So hopefully we can keep that momentum going. Yeah, you know, I want to mention that, you know, we get a lot of inbound predictions from companies and PR firms that, you know, help shape our thinking. But one of the main objectives that we have is we try to make predictions that can be measured. That's why we use a lot of data. Now, not all will necessarily fit that parameter, but if you've seen the grading of our 2021 predictions that Eric and I did, you'll see, we do a pretty good job of trying to put forth prognostications that can be declared correct or not, you know, as black and white as possible. Now, let's get right into our first prediction. We're going to go right into spending, something at ETR surveys for quarterly, and we've reported extensively on this. We're calling for tech spending to increase somewhere around 8% in 2022. You can see there on the slide, Eric, we predicted spending. Last year would increase by 4% IDC. Last check came in at 5.5%, Gartner was somewhat higher, but in general, you know, not too bad, but looking ahead, we're seeing an acceleration from the ETR September surveys, as you can see in the yellow versus the blue bar in this chart. Many of the SMBs that were hard hit by the pandemic are picking up spending again, and the ETR data is showing acceleration above the mean for industries like energy, utilities, retail and services, and also, notably the Forbes' largest 225 private companies. These are companies like Mars or Coke Industries. They're predicting well above average spending for 2022. So Eric, please weigh in here. Yeah, a lot to bring up on this one. I'm going to be quick. So 1,200 respondents on this, over a third of which were at the C-suite level. So really good data that we brought in. The usual bucket of Fortune 500 Global 2000 make up the meat of that median, but it's 8.3% and rising with momentum as we see. What's really interesting right now is that energy and utilities. This is usually like an orphan stock dividend type of play. You don't see them at the highest point of tech spending. And the reason why right now is really because the state of tech infrastructure in our energy infrastructure needs help. And it's obvious. Remember the Florida municipality break reached last year where they took over the water systems or they had the ability to? I mean, this is a real issue. There's bad nation state actors out there and I'm no alarmist, but the energy and utility has to spend this money to keep up. It's really important. And then you also hit on the retail consumer. Obviously, what's what happened? The work from home shift created a shock from home shift. And the trends that are happening right now in retail, if you don't spend and keep up, you're not going to be around much longer. So I think the really two interesting things here to call out are energy utilities, usually a laggard in IT spend and it's leading and also retail consumer, a lot of changes happening. Yeah, great stuff. I mean, I recall when we entered the pandemic, really ETR was the first to emphasize the impact that work from home was going to have. So I really put a lot of weight on this data. Okay, our next prediction is we're going to get into security is one of our favorite topics. And that that is that the number one priority that needs to be addressed by organizations in 2022 is security. And you can see in this slide, the degree to which security is top of mind relative to some other pretty important areas like cloud or productivity and data and automation and some others. Now, people may say, oh, this is obvious, but I want to add some context here, Eric, and then bring you in. First, organizations, they don't have unlimited budgets and there are a lot of competing priorities for dollars, especially with the digital transformation mandate. And depending on the size of the company, this data will vary. For example, while security is still number one at the largest public companies, and those are, of course, the biggest spenders, it's not nearly as pronounced as it is on average, or in, for example, mid-sized companies and government agencies. And this is because mid-sized companies or smaller companies, they don't have the resources that larger companies do. Larger companies have done a better job of securing your infrastructure. So these mid-sized firms are playing catch-up and the data suggests cyber is even a bigger priority, their gaps that they have to fill going forward. And that's why we think there's going to be more demand for MSSP's manage security service providers and we may even see some IPO action there. And then, of course, Eric, you and I have talked about events like the SolarWinds hack, there's more ransomware attacks, other vulnerabilities that just recently, like Log4J in December, all of this is heightened concerns. Now, I want to talk a little bit more about how we measure this relatively, okay, it's an obvious prediction, but let's stick our necks out a little bit. And so, in addition to the rise of managed security services, we're calling for M&A and our IPOs. We've specified some names here on this chart and we're also pointing to the digital supply chain as an area of emphasis. Again, Log4J really put that, shown that under a light. And this is going to help the likes of Auth0, which is now Octa, SailPoint, which is called out on this chart and some others. We're calling some winners in endpoint security. Eric, you're going to talk about sort of that lifecycle, that transformation that we're seeing, that migration to new endpoint technologies that are going to benefit from this refresh cycle. So, Eric, way in here, let's talk about some of the elements of this prediction and some of the names on that chart. Certainly, I'm going to start right with Log4J, top of mind. And the reason why is because we're seeing a real paradigm shift here, where things are no longer being attacked at the network layer, they're being attacked at the application layer and in the application stack itself. And that is a huge shift left. And that's taking in DevSecOps now as a real priority in 2022. That's a real paradigm shift over the last 20 years. That's not where attacks used to come from. And this is going to have a lot of changes. You called out a bunch of names in there that are going to work. I would add to that list whiz. I would add Orca security. Two names in our emerging technology study, in addition to the ones you added that are involved in cloud security and container security. These names are either going to get gobbled up. So, the traditional legacy names are going to have to start writing checks. And, you know, legacy is not fair, but they're in the data center, right? They're on-prem, they're not cloud-native. So, these are the names that the money is going to be flowing to. So, they're either going to get gobbled up or we're going to see some IPOs. And the other thing I want to talk about too is what you mentioned. We have CrowdStrike on that list. We have Sentinel-1 on the list. Everyone knows them. Our data was so strong on tanium that we actually went positive for the first time just today, just this morning, where that was released. The trifecta of these are so important because of what you mentioned. Under resourcing, we can't have security just tell us when something happens. It has to automate and it has to respond. So, this next generation of EDR and XDR and automated response has to happen because people are under resourced. Salaries are really high. There's a skill shortage out there. Security has to become responsive. It can't just monitor anymore. Yeah, great. And we should call out too. So, we named some names, Sneak, Aqua, Arctic Wolf, Lacework, Netscope, Illumio. These are all sort of IPO or possibly even M&A candidates. All right, our next prediction goes right to the way we work. Again, something that ETR has been on for a while. Call it for a major rethink in remote work for 2022. We had predicted last year that by the end of 2021, there'd be a larger return to the office with the norm being around a third of workers permanently remote. And of course, the variants changed that equation and gave more time for people to think about this idea of hybrid work and that's really come into focus. So, we're predicting that is going to overtake fully remote as the dominant work model with only about a third of the workers back in the office full-time. And Eric, we expect a somewhat lower percentage to be fully remote. It's now sort of dipped under 30% at around 29%, but it's still significantly higher than the historical average of around 15 to 16%. So, still a major change, but this idea of hybrid and getting hybrid right is really come into focus, hasn't it? Yeah, it's here to stay. There's no doubt about it. We started this in March of 2020 as soon as the virus hit. As the 10th iteration of the survey, no one, no one ever thought we'd see a number where only 34% of people were going to be in office permanently. That's a permanent number. They're expecting only a third of the workers to ever come back fully in office. And against that, there's 63% that are saying their permanent workforce is gonna be either fully remote or hybrid. This, I can't really explain how big of a paradigm shift this is. Since the start of the industrial revolution, people leave their house and go to work. Now they're saying, that's not gonna happen. The economic impact here is so broad on so many different areas. And the reason is like, why not, right? The productivity increase is real. We're seeing the productivity increase. Enterprises are spending on collaboration tools, productivity tools. We're seeing an increased perception in productivity of their workforce. And the CFOs can cut down an expense item. I just don't see a reason why this would end. I think it's gonna continue. And I also wanna point out these results as high as they are were before the Omicron wave hit us. I can only imagine what these results would have been if we had sent this survey out just two or three weeks later. Yeah, that's a great point. Okay, next prediction, we're gonna look at the supply chain specifically and how it's affecting some of the hardware spending and cloud strategies in the future. So in this chart, ETR asked buyers, have you experienced problems procuring hardware as a result of supply chain issues? And despite the fact that some companies, I would call out Dell, for example, doing really well in terms of delivering. You can see that in the numbers. It's pretty clear there's been an impact. And that's not an across the board thing where vendors are able to deliver, especially acute in PCs, but also pronounced in networking, also in firewall servers and storage. And what's interesting is how companies are responding and reacting. So first, I'm gonna call laptop and PC demand staying well above pre-COVID norms. It had peaked in 2012, pre-pandemic it kept dropping and dropping and dropping in terms of unit volume where the market was contracting. And we think it can continue to grow this year in double digits in 2022. But what's interesting, Eric, is when you survey customers is despite the difficulty they're having in procuring network hardware, there's not as much of a migration away from existing networks to the cloud. You could probably comment on that. Their networks are more fossilized, but when it comes to firewalls and servers and storage, there's a much higher propensity to move to the cloud. 30% of customers that ETR surveyed will replace security appliances with cloud services. And 41% and 34% respectively, will move to cloud compute and storage in 2022. So cloud's relentless march on traditional on-prem models continues. Eric, what do you make of this data? Please weigh in on this prediction. As if we needed another reason to go to the cloud, right? Here it is yet again. So this was added to the survey by client demand. They were asking about the procurement difficulties, the supply chain issues and how it was impacting our community. So this is the first time we ran it. And it really was interesting to see the move there. And storage particularly, I found interesting because it correlated with a huge jump that we saw on one of our vendor names, which was Rubrik, had the highest net score that it's ever had. So clearly we're seeing some correlation with some of these names that are really well positioned to take storage, to take into the cloud. So again, you didn't need another reason to hasten this digital transformation, but here we are, we have it yet again. And I don't see it slowing down anytime soon. You know, that's a really good point. I mean, it's not necessarily bad news for, I mean, obviously you wish that had no change would be great, but that thing's always going to change. So we'll talk about this a little bit later when we get into the super cloud conversation. But this is an opportunity for people who embrace the cloud. So we'll come back to that. And I want to hang on cloud a bit and share some recent projections that we've made. The next prediction is the big four cloud players are going to surpass 167 billion in IS and PAS revenue. In 2022, we track this observers of this program know that we try to create an apples to apples comparison between AWS, Azure, GCP and Alibaba in IS and PAS. So we're calling for a 38% revenue growth in 2022 which is astounding for such a massive market. You know, AWS are probably not going to hit a hundred billion dollar run rate, but they're going to be close this year. And we're going to get there by 2023. You know, they're going to surpass that. Azure continues to close the gap. Now they're about the two thirds of the size of AWS and Google, we think is going to surpass Alibaba and take the number three spot. Eric, anything you'd like to add here? Yeah, first of all, just on a sector level, we saw our sector survey net score on cloud jump another 10%. It was already really high at 48, one of the 53. This train's not slowing down anytime soon. And we even added an edge compute type of player like Cloudflare into our cloud bucket this year. And it debuted with a net score of almost 60. So this is really an area that's expanding not just the big three, but everywhere. We even saw Oracle and IBM jump up. So even they're having success taking some of their on-prem customers and then selling them to their cloud services. This is a massive opportunity and it's not changing anytime soon. It's going to continue. And I think the operative word there is opportunity. So, you know, the next prediction is something we've been having fun with and that's this super cloud becomes a thing. Now the reason I say we've been having fun is we put this concept of super cloud out and it's become a bit of a controversy. First, you know, what the heck's a super cloud, right? It's sort of a buzz wordy term, but there really is, we believe a thing here. We think there needs to be a rethinking or at least an evolution of the term multi-cloud. And what we mean is that in our view, you know, multi-cloud from a vendor perspective was really cloud compatibility. It wasn't marketed that way, but that's what it was. Either a vendor would containerize its legacy stack shove it into the cloud or a company, you know, they do the work, they build a cloud native service on one of the big clouds and then they do it for AWS then Azure then Google. But there really wasn't much, if any, leverage across clouds. Now from a buyer perspective, we've always said multi-cloud was a symptom of multi-vendor meaning I got different workloads running in different clouds or I bought a company and they run on Azure and I do a lot of work on AWS. But generally it wasn't necessarily a prescribed strategy to build value on top of hyperscale infrastructure. There certainly was somewhat of a, you know, reducing lock in and hedging the risk, but we're talking about something more here. We're talking about building value on top of the hyperscale gift of hundreds of billions of dollars in CapEx. So, and in addition, we're not just talking about transforming IT, which is what the last 10 years of cloud have been like and, you know, doing work in the cloud because it's cheaper or simpler or more agile, all of those things. So that's beginning to change and this chart shows some of the technology vendors that are leaning toward this super cloud vision in our view, building on top of the hyperscalers that are highlighted in red. Now Jerry Chan at Greylock, they wrote a piece called Castles in the Cloud, it got our thinking going. And he and the team at Greylock, they're building out a database of all the cloud services and all the sub-markets in cloud. And that got us thinking that there's a higher level abstraction coalescing in the market where there's tight integration of services across clouds, but the underlying complexity is hidden. And there's an identical experience across clouds and even in my dreams on-prem for some platform. So what's new or newish in evolving are things like location independence, you got to include the edge on that, metadata services to optimize locality of reference and data source awareness, governance, privacy, application independent and dependent, actually recovery across clouds. So we're seeing this evolve and in our view, the two biggest things that are new are the technology is evolving where you're seeing services truly integrate across cloud. And the other big change is digital transformation where there's this new innovation curve developing and it's not just about making your IT better. It's about satisfying and automating your entire company workflows. So SuperCloud, it's not just a vendor thing to us. It's the evolution of, you know, the Mark Andreessen quote, every company will be a SaaS company. Every company will deliver capabilities that can be consumed as cloud services. So Eric, the chart shows spending momentum on the Y-axis and net score or presence in the ETR data set or market share on the X-axis. We've talked about Snowflake as the poster child for this concept where the vision is you're in their cloud and sharing data in that safe place. Maybe you could make some comments. You know, what do you think of this SuperCloud concept and this change that we're sensing in the market? I think you did a great job describing the concept. So maybe I'll support it a little bit on the vendor level and kind of give examples of the ones that are doing it. You stole the lead there with Snowflake, right? There is no better example than what we've seen what Snowflake can do, cross portability in the cloud, the ability to be able to be, you know, completely agnostic but then build those services on top that are better than anything they could offer. And it's not just there. I mean, you mentioned edge compute. That's a whole nother layer where this is coming in and cloud flare, the momentum there is out of control. I mean, this is a company that started off just doing CDN and trying to compete with Akamai. And now they're giving you a full suit to nuts with security and actual edge compute layer. It's a fantastic company what they're doing. It's another great example of what you're seeing here. I'm going to call it HashiCorp as well. They're more of an infrastructure services, a little bit more of an open source freemium model. But what they're doing as well is completely cloud agnostic. It's dynamic. It doesn't care if you're in a container it doesn't matter where you are. They recently IPOed they're down 25% but their data looks so good across both of our emerging technology and our thesis survey. It's certainly another name that's playing on this. And another one that we mentioned as well as Rubrik. If you need storage compute and in the cloud layer and you need to be agnostic to it, they're another one that's really playing in this space. So I think it's a great concept you're bringing up. I think it's one that's here to stay. And there's a certainly a lot of vendors that fit into what you're describing. Excellent, thank you. All right, let's shift to data and next prediction. It might be a little tough to measure before I say we're trying to be a little black and white here, but it relates to data mesh, which is the ideas behind that term were created by Yamak Tagani of ThoughtWorks. And we see data mesh as really gaining momentum in 2022 but it's largely going to be, we think confined to a more narrow scope. Now the impetus for change in data architecture of many companies really stems from the fact that their Hadoop infrastructure really didn't solve their data problems and they struggle to get more value out of their data investments. Data mesh prescribes a shift to a decentralized architecture and a domain ownership of data and a shift to data product thinking beyond data for analytics but data products and services that can be monetized. Now this is very powerful in our view but they're difficult for organizations to get their heads around and further decentralization creates the need for a self-service platform and federated data governance that can be automated and not a lot of standards around this so it's going to take some time. At our power panel a couple of weeks ago on data management, Tony Baer predicted a backlash on data mesh and I don't think it's going to be so much of a backlash but rather the adoption will be more limited. Most implementations we think are going to use a starting point of AWS and they'll enable domains to access and control their own data lakes and while that is a very small slice of the data mesh vision I think it's going to be a starting point and the last thing I'll say is this is going to take a decade to evolve but I think it's the right direction and whether it's a data lake or a data warehouse or a data hub or an S3 bucket these are really the concept is they'll eventually just become nodes on the data mesh that are discoverable and access is governed and so the idea is that the stranglehold that the data pipeline and process and hyper-specialized roles that they have on data agility is going to evolve and decentralized architectures and the democratization of data will eventually become a norm for a lot of different use cases and Eric I wonder if you'd add anything to this. Yeah, there are a lot to add there. The first thing that jumped out of me was that mention of the word backlash you said and you said it's not really a backlash but what it could be is these are new words trying to solve an old problem and I do think sometimes the industry will notice that right away and maybe that'll be a little pushback and the problems are what you already mentioned, right? We're trying to get to an area where we can have more assets in our data side more deliverable and more usable and relevant to the business and you mentioned that as self-service with governance laid on top and that's really what we're trying to get to. Now there's a lot of ways you can get there. Data fabric is really the technical aspect and data mesh is really more about the people the process and the governance but the two of those need to meet in order to make that happen and as far as tools, you know there's even cataloging names like Informatica that play in this, right? Istio plays in this, Snowflake plays in this. So there's a lot of different tools that will support it but I think you're right in calling out AWS, right? They have AWS Lake, they have AWS Blue. They have so much that's trying to drive this but I think the really important thing to keep here is what you said, it's going to be a decade long journey and by the way, we're on the shoulders of giants a decade ago that have even gotten us to this point to talk about these new words because this has been an ongoing type of issue but ultimately no matter which vendors you use this is going to come down to your data governance plan and the data literacy in your business. This is really about workflows and people as much as it is tools. So, you know, the new term of data mesh is wonderful but you still have to have the people in the governance and the processes in place to get there. Great, thank you for that Eric, great points. For the next prediction we're going to shine the spotlight on two of our favorite topics, Snowflake and Databricks and the prediction here is that of course Databricks is going to IPO this year as expected, everybody sort of expects that and while, but the prediction really is while these two companies are facing off already in the market, they're also going to compete with each other for M&A, especially as Databricks after the IPO and have more prominence in a word chest. So first, these companies, they're both looking pretty good same XY graph with spending velocity and presence and market share and the horizontal axis and both Snowflake and Databricks are well above that magic 40% red dotted line the elevated line to us and for context we've included a few other firms so you can see kind of what a good position these two companies are really in especially, I mean, Snowflake, wow, it just keeps moving to the right on this horizontal picture but maintaining the net score and the Y axis, amazing. So but here's the thing, Databricks is using the term lake house, implying that it has the best of Databricks and data warehouses and Snowflake has the vision of the data cloud and data sharing and Snowflake they've nailed analytics and now they're moving into data science and the domain of Databricks. Databricks in the other hand is nailed data science and is moving it to the domain of Snowflake in the data warehouse and analytics space but to really make this seamless there has to be a semantic layer between these two worlds and they're either going to build it or buy it or both and there are other areas like data clean rooms and privacy and data prep and governance and machine learning, learning tooling and AI all that stuff and so the prediction is they'll not only compete in the market but they'll step up in their competition for M&A especially after the Databricks IPO. We've listed some target names here like AtScale, you know, Iguazio, Infosum, Habu, Amuda and I'm sure there are many, many others. Eric, you care to comment? Yeah, I remember a year ago when we were talking Snowflake when they first came out and you and I said, I'm shocked if they don't use this more chest of money and start going after more because we know Sluteman we have so much respect for him. We've seen his playbook and I'm actually a little bit surprised that here we are 12 months later and he hasn't spent that money yet. So I think this prediction is just spot on. To talk a little bit about the data side Snowflake is in rarefied air, it's all by itself. It is the number one net score in our entire thesis universe. It is absolutely incredible. There's almost no negative intentions. Global 2000 organizations are increasing their spend on it. We maintain our positive outlook. It's really just stands alone. Databricks however, also has one of the highest overall net sentiments in the entire universe not just its area. And this is the first time we're coming out positive on this name as well. It looks like it's not slowing down. Really interesting comment you made though that we normally hear from our end user commentary and our panels and our interviews. Databricks is really more used for the data science side. The ML AI is where it's best positioned in our survey. So it might still have some catching up to do to really have that caliber of usability that Snowflake is seeing right now and Snowflake having its own marketplace. There's just a lot more to Snowflake right now than there is Databricks. But I do think you're right, these two massive vendors are sort of heading towards a collision course and it'll be very interesting to see how they deploy their cash. I think Snowflake with their incredible management and leadership probably will make the first move. Well, I think you're right on that. By the way, I'll just add, Databricks has basically said, hey, it's going to be easier for us to come from data lakes into data warehouse. I'm not sure I buy that. I think again, that semantic layer is a missing ingredient. So it's going to be really interesting to see how this plays out. And to your point, Snowflake's got the war chest. They got the momentum. They've got the public presence now since November 2020. And so they're probably going to start making some aggressive moves. Anyway, next prediction is something, Eric, that you and I have talked about many, many times and that is observability. I know it's one of your favorite topics when we see this world screaming for more consolidation and going all in on cloud native. These legacy stacks, they're fighting to stay relevant, but the direction is pretty clear. And the same XY graph lays out the players in the field with some of the new entrants that we've also highlighted, like Observe and Honeycomb and Chaos Search that we've talked about, Eric. We put a big red target around Splunk because everyone wants their gold. So please give us your thoughts. Oh man, I feel like I've been saying negative things about Splunk for too long. I've got a bad rap on this name. The Splunk shareholder's come after me all the time. Listen, it really comes down to this. They're a fantastic company that was designed to do logging and monitoring and had some great tool sets around what you could do with it. But they were designed for the data center. They were designed for prem. The world we're in now is so dynamic. Everything I hear from our end user community is that all net new workloads will be going to cloud native players. It's that simple. So Splunk is entrenched. It's going to continue doing what it's doing and it does it really, really well. But if you're doing something new, the new workloads are going to be in a dynamic and environment and that's going to go to the cloud native players. And in our data, it is extremely clear that that means Datadog and Elastic. They are by far number one and two and net score increase rates, adoption rates. It's not even close. Even New Relic actually is starting to entrench itself really well. We saw New Relic's adoptions going up, which is super important because they went to that freemium model to try to get there a little bit of a entrenched customer base. And that's working as well. And then you made a great list here of all the new entrants, but it goes beyond this. There's so many more. In our emerging technology survey, we're seeing Century, Catchpoint, Securonix, Lucidworks. There are so many options in the space. And let's not forget, the biggest data that we're seeing is with Grafana. And Grafana Labs has yet to turn on their enterprise. Elastic did it. Why can't Grafana Labs do it? They have an enterprise stack. So when you look at how crowded this space is, there has to be consolidation. I recently hosted a panel and every single guy on that panel said, please give me consolidation because they're the end users trying to actually deploy these and it's getting a little bit confusing. Great, thank you for that. Okay, last prediction, Eric, it might be a little out of your wheelhouse, but you might have some thoughts on it. And that's hybrid events become the new digital model and a new category in 2022. You got these pure play digital or virtual events. They're going to take a backseat to in-person hybrids. The virtual experience will eventually give way to metaverse experiences. And that's going to take some time, but the physical hybrid is going to drive it. And metaverse is ultimately going to define the virtual experience because the virtual experience today is not great. Nobody likes virtual. And hybrid is going to become the business model. Today's pure virtual experience has to evolve. You know, the cube first delivered hybrid mid-last decade, but nobody really wanted it. We did Mobile World Congress last summer in Barcelona and an amazing hybrid model, which we're showing in some of the pictures here. Alex, if you don't mind bringing that back up. And every physical event that we're doing now has a hybrid and virtual component, including the prerecords. You can see in our studios, you see the green screen. I don't know, Eric, what do you think about the Zoom fatigue and all this? I know you host regular events with your roundtables, but what are your thoughts? Well, first of all, I think you and your company here have just done an amazing job on this. So that's really your expertise. I spent 20 years of my career hosting intimate Wall Street idea dinners. So I'm better at navigating a wine list than I am navigating a complex tour. But I will say that the trend just goes aligned with what we saw. If 35% are going to be fully remote, if 70% are going to be hybrid, then our events are going to be as well. I used to host roundtable dinners on one or two nights a week. Now those have gone virtual. They're now panels, they're now one-on-one interviews. We do chats, we do submitted questions. We do what we can, but there's no reason that this is going to change anytime soon. I think you're spot on here. Yeah, great. All right, so there you have it, Eric and I. Listen, we always love the feedback, love to know what you think. Thank you, Eric, for your partnership, your collaboration, and love doing these predictions with you. Yeah, I always enjoy them too. And I'm actually happy. Last year you made us do a baker's dozen, so you're keeping it to 10 this year. We got a lot to say. I know, you know, we cut out. We didn't do much on crypto. We didn't really talk about SaaS. I mean, I got some thoughts there. We didn't really do much on containers and AI. You want to keep going? We've got another 10 for you. RPA, all right, we'll have you back. I mean, let's do that. All right, don't forget these episodes. They're all available as podcasts, wherever you listen. All you can do is search Breaking Analysis Podcasts. Check out ETR's website at ETR.plus. They've got a new website out. It's the best data in the industry. And we publish a full report every week on wikibon.com and siliconangle.com. You can always reach out on email david.volante at siliconangle.com. At D-Volante on Twitter, comment on our LinkedIn posts. This is Dave Volante for theCUBE Insights, powered by ETR. Have a great week, stay safe, be well, and we'll see you next time.