>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. >>Welcome back to the Bellagio in Las Vegas. Everybody, this is Dave Vellante and we're here day two of UI path forward three. The third North American event is the cubes, second year covering UI path. The rocket ship that is UI path. PDC is here, he's the vice president of AI at UI path and Rudy Coon who is the chief marketing officer and co founder of process gold UI path. Just announced this week, the acquisition of process gold. So Rudy, congratulations and you may as well PD. Thank you. So that's cool. Um, process gold is focused on process mining. You guys may or may not know about them, but really maybe, maybe you cofounded the company. Why did you co-found you and your founders process gold and tell us a little bit about the problems that you're solving. Yeah, right. You know, um, many years ago I started my career with IBM and I used to be a business consultant. >>And typically if you try to implement any kind of technology like RPA, but back then we didn't have the LPA. But if you try to figure out what the real process and the company are and you ask people, please tell me how does the process where it looks like. Usually people cannot tell you. They say yes we have a documentation but it's outdated the moment you print it. So the idea was um, actually I came across process mining more than 10 years ago and I met the guy in, at the university of and he had this bright idea to reconstruct business processes solely based on digital footprints from any kind of it system. I mean, think about it. You, you use SAP, you use any kind of other it systems and you take the data that is left behind after the execution or the support of a process. >>You take it, you push the magic button and you see what the process really is, like an extra races and from business processes. But we, we saw that in the demo at the a analyst event. I thought it was like magic. I mean I think it's actually, I think of a small company like ours easement even though the number of processes we have and the relative complexity and by the way, half the time people aren't following them and but you were able to visualize them. So. So first of all, why did you acquire process gold? What was the thinking there? So you know, just to pop one level up the stack, what exactly are we trying to do as a company? And you are about as we are building this whole new set of platform capabilities, right? We used to have product lines in studio, orchestra and robot, but now when we look at the whole customer journey and all the elements that need to be there in that customer journey, we essentially have to weld something, what I call the operating system called a self improving enterprise. >>And what that means is that our three elements you need to combine. You need to have a measurement system in place, which can quantify the ROI of your automations. Of course you need a really solid RPA platform like ours to do the automation itself, you have to be able to bring in pieces for doing complex stuff, cognitive stuff using AI. And then you need a scientific way of planning those automations using tools like process board because you have to do process mining. Once you complete this, watch your cycle, you can keep doing more and more of the automation. Essentially you're feeding the beast of efficiency in your organizations. So essentially the way this worked, we can't do, don't, don't have the means to do the demo here, but you essentially pointed your system at a process and it visually showed me the steps and laid them out and in great detail. >>Um, and I said, wow, that's like magic. Um, but this stuff actually works. You got no real customers using this if you do. Yeah. Okay. >> So you know, we worked for companies like, like portion Germany, maybe you have heard about them. They, they build cars and they are using process code for part of the production process. Today in today's world, every process, no matter how offensive is a physical process like production or purchasing or whatever it's used or it's supported by it and at least a lot of data behind. And this is exactly that, the goldmine for us. So we extract this data and again, you know, we have a lot of algorithms in the, in the software. It's, it's sort of magic as it is a lot of mathematics, which is magic for me. But um, it works. Yeah, just take the data, you pushed a button and just see the process with all the details. >>As you mentioned, like stupid times, bottlenecks, compliance issues and this three, the, the, the source, you know, if he wants to see the process, you can then decide is it, is this process now suitable for automation or maybe should we first optimize the process and then vote for automation. And this is key for, for RPA. >> Well, I think, you know, I'm talking a lot of customers this week and last year offline as well. A lot of times we'll tell us the mistakes they made is they'll, they'll automate a crappy process. Yup. This presumably allows me to sort of highlight the shine a light on some of the weaknesses and the weak links in the chain. >> So process optimization is a big deal, right? Both in the pre automation phase and in the post automation phase. Once you automated a process, you need to know what are the bad things that are happening there, what are the blockers, what are the nonconforming steps that you're taking? >>So that's in the post automation but also in the pre automation phase where you haven't even decided what exactly are you going to automate. It's really hard to quantify what are the high ROI processes, right? I can go in our bottle, automate something which is not useful at all for the users, right. And so we want our users to a wide making those mistakes. And that's why we are exposing these powerful, powerful set of tools where you can use all these tools to easily document your processes, manage your processes, use process mining to look deeper into how our people and the different entities in your organizations working together. You know, historically if you look at stuff like all of in all of human history, there have been certain processes, but as computers came on and stuff, you look at it on in, in scifi movies, everyone has always, as Rudy says, the X way for the enterprise. >>You always wanted to have this Uber system that can understand everything that we are doing and tell us, you know, how can we improve stuff? Or what can we do better? Because as a species that fuels our evolution. And so this is, it's, it's, it's fundamental to a lot of things that people do in every day and almost in every action that they did. >> So the in the secret sauce is math, right? So again, please, the secret sauce. Yeah, it's math, but you've got to have some kind of discovery engine as well. I mean this is, it's a system. So maybe can you give us a little bit more idea as to what's under the covers? Well, you know, it all starts with data and the data we need in the beginning, it's very, very simple. We need only three different attributes. The first attribute is what we call the case ID. >>So the case ID is a unique identifier for a case and it depends on the process. If we talk, for example, a very simple invoice approved process in the case that it would be the invoice number. When we talk about claims management or with a claims number or a purchase number, whatever the second attribute we need is the timestamp. And every time we find the timestamp in a system like SAP or lock file or database, this time subsume a timestamp actually represents some sort of activity. So we need a case ID, timestamp and activity and solely based on this data we can already show you how the process looks like. And then we enrich this data with other attributes like let's say supplier or invoice amount to give you some more ideas and some statistics. So this is the data we need. We, you know, we transformed this data, we access directly the database. >>So there is no, there's no need to extract the data. We directly access to data and we transform it and then it will be represented in our application. So you get rid of full transparency of what's going on. So when you were a consultant, you mentioned you're a consultant at IBM, you would sit down with a pen and paper and talk to people about what they did. Maybe time and motion studies and studies, you know, you know, this process mapping workshops, everybody comes out and just allows it. So you sit together with people in the room and at the end of the day you have more processes than you have people there. And everybody's telling you a different story and you know exactly that. Not everything is totally true. So a lot of gray area. Yeah. And the maps that you had to build and people simply don't know what the processes are. >>It's not that they don't want to tell you, they simply don't know. Or as I said before, different people have different processes and they don't follow those. There's no standard to follow. She's pretty, what's the vision for how, how process gold fits into UI path. So as a problem was talking about in his keynote, and Daniel talked about this too, um, a lot of our customers came to us, uh, to automate the processes that they already know about for the processes that they don't know about. We have this whole set of tools, the Explorer set of rules that we are releasing. Process world is a part of that. But essentially now you don't need to know what processes to automate. You can use an automated set of tools to do that process scored, as Rudy was talking about, can go in and look at these log files, uh, ordered logs that are generated by your systems of record. >>Um, and then be able to visualize, optimize our process. But the technologies are really complimentary because these guys, uh, used to work in the backend systems. That's why, you know, that's where most of the process mining works works in the back end looking at the audit logs, but you have as has, you know, we have really strong background in understanding the gooey in the front end, uh, understanding of apps, controls and the control flows that the users have using our computer vision technology. When you combine these technologies, there's a magical effect that happens. Like if your backend does not contain the audit, log off some actions that people are taking in the front end. Let's say it's a small application which does not generate that are the, once you combine these two data points, this is one of the first in the industry on the wonderful kind system that can look across all the different spectrum of applications and be able to understand the processes at a deeper level. >>Technically when you make an acquisition, you obviously looking at the technology and how it's going to integrate, how challenging will it be for you to integrate? What have you done any sort of, when you did the due diligence, you know, a lot of companies are really dogmatic about integration. Others frankly aren't that let's buy the company up by another one. What's your philosophy? It >>was kind of a match made in heaven. I remember the first time I talked to Rudy on the phone and uh, you know, are at the end of the day our philosophies aligned like almost a hundred percent because at the end of the day process goal and UI bad is all about that customer obsession, delivering the value to our customers. And the values are saying we want our customers to get out of this mundane tasks to automate the tasks as optimally as possible. And so both the companies, the, the, the outcomes aligned pretty well. Now the mechanics of the integration, um, I think both do. Both the companies are, these aren't you know, dot com era companies where you know, somebody came over the an idea and did this take Rudy and the team had been working in this area for 10 years. They have organization knowledge, they have the expertise and so does you have adults. >>And so we will take what I'm, what I call a loosely coupled approach where we can choose common customers, we can choose comments that are features that we are going to work on and that's how we will integrate. But again, the focus of all this is to deliver the value to our customers. Not think about the mechanics of what the integration would look like. I think one of the most exciting things that I'm hearing is this notion of the processes that are not known. Um, because so many processes today are unknown, especially as we go into this new digital world. We used to know what processes we want to automate your point, some technology at it. Okay great. We're going to automate now with this digital disruption that's going on. You actually may have no idea. You may be making processes up on the fly, so you need a way to identify those processes quickly and then those ones that are driving our ROI. >>Um, I'm interested in your thoughts on AI and ROI and how to measure that, how those things fit together. So, you know, AI, this is I think the biggest problem in the AI right now. There's a lot of hype in this space. We are tracking close to 3000 different AI startups in the world and uh, nobody can actually put a number to the revenues or the valuation, the real valuation because of this ROI quantification problem, right? Um, let's say I have a company, we'd say, Oh, we are the best in class. And understanding faces short, how is it going to be useful to an enterprise if you cannot measure what well you official recognition system is adding to your enterprise, it's not good enough for the business people. Because at the end of the day, my, I can have the world's brightest PhDs telling me I have the state of the art model in the world, which does law, but in fact cannot translate it into business value. >>It doesn't really work. And so that's why ROI quantification is so in parking and you have to make sure you align them econometrics of the AI, uh, measures and the business KPIs so that if, for example, so your data science team should be able to know what metrics they have to improve in order to get a better ROI for the business. So you have to align those two things. And that is part of research that is not really prevalent in academic circles. Interesting. I mean, you've seen some narrow successes in I'll call AI, you know, things like a infrastructure optimization. Okay, great. Makes sense. What I'm hearing from you is identify the KPIs that are going to drive your voice of the customer defines value first to take away, identify what those KPIs are. And this every business has thousands of KPIs, but there's really like three or four that matter, right? >>So identify those top ones and then you're saying measure on a continuous basis how your system affects those metrics. So in economics this is called the treatment effect. Uh, so for example, if you water my term sales and marketing processes, the KPIs that matter to you is what is your conversion rate from when the leads hit your system to when the revenue is realized or what is the total revenue that you're making? Right? As you said, there's only two or three top level gave you as that really matter. And now if for example you put an AI system in place that treats your leads differently, you should see an increase and uptick in revenue. And so that's what I mean by the Ottawa quantification. So if you instrumented the system properly, put it in the right quantification measurement system in place and have the auto optimization mechanism, that's how things should work. >>You know, with with cross mining we can even add additional KPIs to the picture KPIs you usually don't have because if you ask a company, nobody can tell you how many different variations of the process you actually have. And with process mining we can exactly measure how many variations there are. So if you are up to streamlining to simplifying the process to speed it up, we can actually tell you if your optimization effort is successful or not because we can show you how the number of very our variations is going down over time. Even if we, you know, we can also measure the, the success of RPA implementation. So it really pros we use process code and pro money not only for identification of processes but also for the monitoring of processes after an successful RPA implementation. I can see so many use cases for this. >>I mean it's like my mind is just racing. I mean sales guys in one region and sales gals in the other region doing things differently. You've got different country management doing things differently. If I understand you correctly, you can identify the differences in those processes, document them, visualize them and identify the ones that are actually optimized or help people optimize and then standardized across the organization to drive those metrics that matter. It's very powerful. It is really powerful. You know, as I said, we are living in the golden age of this system that can self-improve your companies. I mean this, this was the Holy grail of all of computer science work with technologies like process score with RPA, with AI. I think we are at that inflection point where we can realize that. So we got to go. But I'll, I'll give you guys sort of the last, last word, each of you. >>So actually first of all, Rudy question, how large can you tell me how large the process gold team is? How many people? We have grown with 60 people. 60 equals zero. We are based, our headquarter is in the, is in the, in from the Netherlands. Um, so this is where we are very close to university. This is where our developers basically are located. And uh, I'm based in Frankfurt in Germany, but for now, let's see what the future will be. So what's a home run for you with this marriage? The home run, you know, since we are in Las Vegas, I was wondering if you hit the jet park Jack photo, if we hit the jackpot. But I actually think of the customers, our customers get the Jaguar because this combination of, of your technology, of our technology, this is really, you know, good answer. So that as I was gonna ask you the same question PD is, I can't even tell you, um, almost every one of the UI path customers has expressed interest in process glow, right? >>Because right now we have a portfolio of products, but the interest that we are getting in process board with the process mining offerings is unparalleled. So Rudy is right. Our customers are the ones which are driving this inhibition and the integration. And I'll be able to actually acquire this solution. I forget, I have my notes with relatively near term, right? Yes. We are gonna make it available to our customers as soon as possible. Awesome guys, congratulations. Really great to have you on the cube. Thank you. All right, and thank you everybody for watching. We'll be back with our next guest right after this short break. You're watching the cube alive from the Bellagio UI path forward three. We were right back.

>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. >>Hello everyone and welcome to the cubes live coverage of UI path forward here at the Bellagio. I'm your host hosting alongside of Dave Volante. David's so great to be here with you. I'm so excited to get into this. See Rebecca, so we were, we would use came from the keynote. A lot of high profile UI path executives and important customers were on there too, but then this is the message is it's time to reboot work. It's time to reboot your business, transformed the customer experience, transform the employee experience. I'm wondering as someone who spent a lot of time at these kinds of conferences, and here's a lot of this, these, this kind of messaging, especially in this age of digital transformation, how compelling do you find this value proposition, this, this idea that RPA, robotics, processing automation can do these things? >>The first thing I would mention, Rebecca, is to me it's all about the customers. And you know, it's rare that you see a tech show start with the customers to actually do in the intro. I've seen it before. Nutanix actually does it at his shows, but it's, but it's quite rare because you know, the vendors want to put their message out, they want to control everything, and so they're very, very cautious about that. But, so we had three customers up on stage today doing the intro, which I thought was kind of cool. Tech shows, you know, a lot of smoke, a lot of mirrors and so forth. So you have to try to squint through that. I would say this, it's very clear that the age of automation is here. You know, people have been always concerned about automation for good reason. They're afraid that automation is gonna take away their jobs. >>Having said that, machines have always replace humans. We've talked about this a lot on the cube, but this is the first time in history that machines are replacing humans with cognitive tasks. So that's got to be scaring people a little bit. But when you come back and answer your question, when you talk to customers, they're really happy about software robots because they're doing, they're automating mundane tasks that these folks don't want to do on a day to day basis and they want to do other things. They want to get their weekends back. They don't want to just manually enter data from spreadsheets into applications and back and forth. And so from that standpoint, I think it is real and it is unique. You know, the big question is how much of this is transformational and is it really a path to AI something that UI path and others are really pointing towards and we're going to explore that, >>right? I mean in what you were just saying too is that that that the company's pitch is that we are freeing people. We are liberating them from the mundane, from the drudgery, from the data entry. And as you, as you pointed out, rightfully, a lot of the customers are saying, Oh no, it's giving our time. It's giving our employees time back to focus on the higher level tasks, the more creative aspects of their job. But, but I wonder if it is in fact a w what it really is doing. Two jobs. I mean I think that there was a really telling line in that Forbes profile of uh, Daniel Dina's who is the, the CEO of this company is founder of this company. The first ever bought billionaire exactly. Um, where it was an MIT professor quoted saying, you know, we always say to the companies that we say, give, give us your data and we'll tell you if it is in fact, uh, having this job killing effect. And he said, the companies don't want to give, give that up. >>Right? So now just look at the why is Daniel didn't as a billionaire, it will here, here, here's why. >>Yeah, walk, walk us through this. >>So UI path is up to 3,400 employees. 34 50 is the actual number. Now back in 2017, two years ago, this company did $25 million in annual recurring revenue. Now, ARR is a metric that's very important because you know, even though you book, let's say you book a $12,000 deal, you recognize that $1,000 a month over the 12 month period. So ARR is a very really important metric. So 25 million in 2017 my sources indicate that they'll do over 300 million this year in ARR. So we're talking about a 12 X plus increase in a two year period. They've raised $1 billion. One of their key competitors, automation anywhere has raised similar amounts of money. So they're talking about a couple of billion dollars raised just in the last couple of years. UI past valuation in March was $7 billion. So at that kind of back of napkin, and we're talking about a $10 billion valuation, Daniel obviously owns a lot of that. >>So 20% yeah. So it's, it's pretty substantial in terms of the market impact. Now valuations, as you all know, it's a fleeting metric, right? It comes in, it goes, but so the, but the landscape is very strong right now. It's really interesting to see how much customers are glomming onto this automation tailwind. The other comment I would make is let's lay out the sort of competitive landscape. UI path has gone from kind of a clear third in the marketplace to clear number one. I mean they're kind of separating from the pack, but there are others automation anywhere, blue prism and there are a number of legacy customers as well >>that that's what I wanted to ask you too, is that we have seen a few Microsoft and Google of course are, are, are partnered in their, in their customers, but they also are moving into this area themselves. So I mean will you will let UI path be able to maintain its competitive position as these very established and frankly very smart companies move into this area. Safety's >>another one. SAP bought an RPA company. It's a good question, but, so if you look at, let me start with this sort of underlying trend. If you look at the spending data, so we have access to the enterprise technology, research spending data and it shows the entire space is gaining share relative to other technology initiatives. So when you look at the data for UI path automation, anywhere blue prism, even legacy process automation companies like Pega systems, they're all actually from a spending standpoint attracting a lot of attention. So it's this rising tide lifts all ships. It's still somewhat early in terms of this next generation RPA if you will, you I-PASS advantage is simplicity. They are totally focused on this. You see this all the time. Do we go best of breed or do we go with a suite? So if Oracle comes up with an RPA solution, they throw it in for free, you know, does a customer take that? >>I think it comes down to what the business value is and that's something we're going to explore. It's not uncommon in detect industry that there's a first mover advantage or maybe it's a second mover advantage. You know, Facebook wasn't really first mover, but the one who really gets it right is kind of a winner take most. And so that's where a UI path is going like crazy right now. Trying to scale the company, raise a bunch of money. We saw this week a bunch of bankers sort of sniffing around. All the bankers are here cause they want their business. So I would expect there's some kind of IPO on the horizon, which I think they need to do to be, to your point to be able to compete with the big guys. So bottom line is they have to do it on a better product, more openness, moving faster and getting to scale. And I think they'll be able to reach escape velocity. I don't know if there's enough room for the big three. I would expect that given the spending climate is very good for everybody right now. I would expect within the next two to three years, some consolidation in this space. >>Well. So one of the things that you had just talked about with this next generation RPA, and that is exactly where we're going because these bots have got to become more durable, more smarter and more capable of handling complex tasks. We saw a number of new product announcements today. Oh, I might to get your thoughts and what you think about them and just whether or not they will have this transformational effect. Um, so, so yes, we have some new product announcements, some, some that democratize automation building that all you have to do is know how to run an Excel spreadsheet and you too can build an automation in your company. >>Yeah. It'll take a little bit of training though. >>I know. I think a better idea for those those demos is they should just pluck someone out of the audience and say, okay, you're going to do this. >>No, they would fail. I mean, let's say said, I remember the first time you learned Excel, I'm old enough to remember slash file, retrieve, paste, copy, whatever. You had to go through some training and we went through classes back in the eighties I think it's a similar here. I mean it's not overly complex. It's gonna have a low code theme, but you're right, UI path announced the number of new products. You know, we looked at this a couple of years ago, we went, we went out and we took the big three from the Forrester wave blue prism automation anywhere in UI path and we said, Hey, let's download them and start building some, some, some automations. While the only software we could get ahold of was UI path. Because as they say, they had kind of a simpler or more open model. The other guys were like, well, talk to a reseller is spend some money. >>And we were like, no, we just want to try it before we buy it. And we weren't able to get the other guy software. Now I think automation anywhere has made some strides in that regard in terms of simplification. You know, it's a copycat industry like the NFL. But so let's remember here we're talking about automating mundane tasks. Relatively simple automations. The customers are asking for things like more complex automations. How do we prioritize the automations? How do we figure out where, what's the best bang for the buck? How do we actually have attended bots because many of these are unintended. They'd like to have the human injected into the equation and that's pretty interesting because it brings forth this augmentation scenario that's everybody's talking about in AI and that starts to move us from sort of this tactical, I'm going to save some time on a use case specific or a technology specific automation to something that's more strategic that I can scale across my organization but right now people are saving money on this as a super hot space. As I say, all the bankers are trying to get in because they know some other ideas are coming down the road and the VCs I'm sure are gonna want the air exits. >>I want to talk to you about the leadership of this company. This is Daniel Dienes and you have interviewed him many times. Do minimun has as well. He he, he seems like a different kind of CEO. I mean, first of all, he is, he's a Romanian. Uh, he grew up, uh, behind the iron curtain. Uh, he was a professional bridge player for awhile, at least play competitive bridge player play competitive bridge and now he is a company headquartered in New York city. He still spends a lot of time in Bucharest but I'm curious to hear your thoughts about his leadership style and the kind of culture he's created at UI path and whether or not, because he's made some key hires from AWS, from Google, some, some of the more established tech players, whether or not he is, whether or not he'll be able to keep that startup culture, that startup mindset as the company becomes so much bigger. Well >>I think it's a concern and something that we want to ask about when you ask Daniel about, you know, how have you been able to do this? He'll talk about the mistakes that they made, how they sort of, they had a build it and you and they shall come mentality, which is kind of kind of old thinking these days and they sort of lucked into this RPA space. He also emphasize, emphasize as humble, and he's a very humble guy. I mean, you'll, you'll, you'll meet him I think last year he came on and you know, he's a developer. He had a tee shirt on. He's a coder right now. He's a billionaire coder. So maybe, maybe he'll, he'll dress up a little bit, but you know, maybe a fancy tee shirt, I don't know. Or maybe a collared shirt that says UI path on it. We'll see. >>But so they end, they want to move fast. They believe in openness there. They believe in transparency. I think those things worked in today's marketplace. People love the guy. I mean the customers love them. The employees love them. As you said, they're pulling people in from the hottest companies. Google, AWS. We, I got a on the shoulder today from, from a gentleman and I know from Google, he was in sales at Google. It's not me. There's no, Oh, I'm day three. And so people want to be part of this, this rocket ship. And I think it's gonna move very, very fast. Like I say, I think you're going to see some moves in the marketplace. I think you're going to see some exits and consolidations. We saw some M and a today UI path announced the acquisition of company called process gold that actually competes with a partner of UI path. So it's again, people are going to be on collision courses and they recently made another acquisition of a company called step shots and we're seeing some M and a, you know, relatively small MNA, but it's all about how can they transform from this little startup to this major player. To your point that can compete with the Microsofts and the SAP and the big whales of the world. >>And what do you think is his bigger selling point? Is it that it is transforming the employee experience, which as we know that that should not be discounted because an employee who is doing less mundane tasks able to focus on the more creative interesting parts of his or her job is a happier employee, happier your employees, more productive employee. A more productive employee means a healthier bottom line. So that's now funding to discount. Also the customer experience, as you said, which is clearly a huge top priority for this company. But, but I think the question is, is this technology now is a transformative enough? >>You know, as you asked that question, it kind of reminds me in a different way of a company that we've followed for years service now. When service now first came out, it was kind of doing what people saw as help desk, improving help desk, and they disrupted an industry and they made it better, which is kind of boring. It's kind of mundane, but actually having good it where you're not constantly down and you're not complaining and stuff's not falling through the cracks actually can be somewhat transformative. Kind of boring, but really important. And I see a similar sort of pattern here now the vision is, you know, a robot for every worker and the path to AI and we'll see. But right now the trans, the transformation is we're going to take away all this crap that you hate doing all these crap locations or mundane tasks and we're going to make your life better. >>And people workers want that and it's going to be in theory, a productivity boost as a result of that. That in and of itself, I think Rebecca can be transformative because it'll, it'll help with morale, it'll help with culture, it'll allow people to shift their emphasis on more strategic work and drive more value for the companies. And so, and I think companies that invest in RPA are, are seeing returns in terms of quality, just in terms of employee morale. You'll hear that from the customers that we talked to today. So I think in that sense it can be transformative like service now was now can it take the next step or is this really just paving the cow path? Is it just taking mundane known processes, automating them as opposed to really rethinking what process automation should look like. And that's some of the criticism of RPA and the RPA hype. And you know, we're going to talk about that. We're going to talk to customers about that. We've got analysts from HFS coming on, Kathy from Gartner's coming on. So excited to hear their perspectives as well. >>Exactly. And I, I want to reiterate that point that you're absolutely right. Their question is should we actually think about redesigning the process itself rather than automating the, the the flawed process? >>Yeah, and I mean I guess part of me says yes strategically we should be doing that, but another part of me says, look, I don't have to change anything. And I think that's the big advantage of UI path and these other players is you can basically automate what you have today. You don't have to redesign the process because process redesign is a heavy lift. So if I don't have to do a heavy lift, if I can improve what I'm doing today and it works, yeah, it's the old, if it ain't broke, why fix it, but just improve it. I think that's a very powerful, I think the big question I have is, is that like a big hit of a step function or is it really transformative? I feel like today's tech is a step function, which is important. You're going to get that step function, but I think you're going to absorb that benefit fast and then people are going to say, okay, now what? >>Another good example is virtualization. When I first saw virtualization and the ability to spin up a server, my jaw dropped and went, Oh my God, I could spin up a server in five minutes and it used to take weeks, months to spin up a server. That's game changing. Nobody talks about virtualization anymore. It was a, you know, a five year absorption of productivity for it and now it's like, yeah, I've been there, done that. That's yesterday's news. I think the same thing is going to happen with today's RPA and the big question is can they cross that strategic chasm into what the gentleman from Pepsi, the executive from Pepsi was saying, this automation fabric across the enterprise as a, as a platform for automation and artificial intelligence. That's a big leap. These guys get big plans. Daniel Dienes is a big thinker, go big or go home. So I don't, I don't have the crystal ball on that, I think, but I think there's a decent opportunity given that there's enough attention on this business right now that it, that it could be transformed. >>All right, well, hopefully we'll know more at the end of these two days. Dave, I've, I'm looking forward to getting into with you. I'm Rebecca Knight for Dave Volante. Stay tuned for more. You're watching the cube.