>>From the Bellagio hotel in Las Vegas, it's the queue covering UI path forward for brought to you by UI path. >>We'll go back to the cubes coverage of UI paths forward for big customer event. You know, this company has always bucked the trend and they're doing it again. They're having a live event, physical event. There are customers here, partners, technologists. I'm here with Lisa Martin, my co-host for the show. And we're going to talk about testing. It's a new market for UI path. If anybody knows anything about testing, it's kind of this mundane, repetitive process ripe for automation geared vice-chairs. Here's the senior vice president of testing products at UI path and Matt Elisa. Who's the product marketing lead at UI path. Gents. Welcome to the cube. Thanks for coming on. Thanks for having us feminists. Explain to us how you guys think about testing both from an internal perspective and how you're going to market. >>Yeah, well, testing has been around for a long time, right? 25 years or so when, when I came to UI pass, the first thing I looked at was like, how do our customers test RPA? And it's quite interesting. We did a survey actually with 1500 people and, uh, 27% said that they wouldn't test at all. And I thought that's really interesting. RPA is a business critical software that runs in your production environment and you probably have to test. So we came up with this idea that we create the test suite we're using, you know, proven technology from UI pass. And, and we built this offering and brought this into the market for RPA testing and for application testing. So we do both. And of course we use it internally as well. I mean, that will be, you know, eat your own dog food or drink your own champagne, I guess. Yeah. >>Well, think about it. If you, if you automate, if you, if there's an ROI to automate a process, there's gotta be an ROI to verify that it's going to work before it goes into production too. And so it's amazing that a lot of companies are not doing this and they're doing it manually, um, today. >>So, so, but so, but parts of testing have been automated, haven't they with regression testing. So can, can you guys take us through kind of the before and after and how you're approaching it versus the traditional way? >>Yeah, absolutely. I mean, like I said, testing is not new, right? Um, but still when you look at the customers, they're not out to meeting more than I would say, 30, 40% of the manual tests. So still a lot of Stan manually, which I think, and we talked about this right manual testing is the, the original RPA. It's a tedious, repetitive tasks that you should not do manually. Right? And so what we are trying to bring in is now we're talking about this new role, it's called a digital tester. The digital tester is an empowered. We could call a manual tester, who's able to build automation and we believe that this will truly increase the automation, even in the existing testing market. And it's going to be, I don't want to use the word game-changer, but it's gonna change. Uh, the way testing is done. Yeah. >>And we're, we're applying, um, all the capabilities of UI path and delivering those testers, just like we would for HR team or a, or a, a finance and accounting team. But testing even has they understand this more, they've been doing this for 20 years. They understand automation and we're going to get them things like process mining so they can figure out what tests they need to run from production data. We're going to give them task mining so they can make more human-like tests test. Exactly. Like I used to be a tester, uh, and I ran a test team. And what I used to do is I have to go out to a warehouse and I'd have to go watch people as they entered orders, to make sure I was testing it the right way. So they would like click. We usually thought they were clicking things, whether you're using hotkeys, that's just an example of what they were doing. But now we can do task, task mining to get that remotely, pull that data in and do tests and make more realistic tests. >>How much of the there's so much potential there? I think you were saying that only 27% are actually doing testing. So there's so much opportunity. I'm curious, where are your conversations within the customer organization? We know that automation is a board level investor topic. Where are you? Where are those discussions with the testing folks, the RPA folks, helping them come together? >>Well, that's interesting. The question we typically, on the IP side, we talked to the cos by the people that are professionally developing those RPAs, but very easily, we get introduced to the test side of the house. And then usually there's a joint meeting where the test people are there, the RPA people are there. And that's why we are talking about this is going to convert somehow, right? They are in different departments today. But if you think about it, if five years down the road, maybe 10 years, they might be an automation discipline for the entire enterprise. So if that answered your question about, >>Yeah, >>Yeah. And we have a customer coming presenting this afternoon, Chipola and they're gonna be talking about how they, both of the teams are using a test teams and the RPA teams. And they built a reusable component library that, so when they built RPA team built their automations, they put them in a reusable library and the test team is able to recreate their tests much faster, reusing about 70% of the components. And so when the, when you think of automation, they're thinking about automating the application, not automating a process or a test so that people can use those like Lego blocks and build it if they're doing so, they could even, even it automation, if they wanted to start doing it, automation, they could pull those components out and use those. >>This is game changing is quality because so often, because in this day and age of agile, it's like move fast and break things. A lot of things break. And when we heard this morning in the keynotes, how you guys are pushing code like a couple of times a week, I mean, it's just a constant. And then you do two big releases. Okay. I get, I get it for the on-prem. But when you're pushing code that fast, you don't have time to test everything. There's a lot of stuff that's unknown. And so to the extent that you can compress all those checkboxes, now I can focus on the really important things that sometimes are architectural. How do you expect applying RPA to testing is going to affect the quality? Or maybe you got some examples. Chipotle. You just mentioned what, >>First of all, I mean, when you say we pushing code like bi-weekly or so, right. We're talking about continuous development. That's what it's called. Right? It's agile. You have sprint cycles, you continue to bring new code, new code, new code, and you test all the increments with it. So it's not that you building up a huge backlog for the testing on the RPA side. What I see is that there will be a transformation about the process, how they develop RPA at the moment. It's still done very much, I would say, in a waterfall issue, which is agree, >>A big bang waterfall. >>Yeah. It will transition. We already have partners that apply agile methodologies to their actually RPA development. And that's going to change that. >>Okay. So it's not so it's quality for those that are in testing obviously, but, but it's, but for the waterfall guys, it's, it's compressing the time to value. Oh yeah. That's going to be the big key. Yeah. That's really where it's coming. >>But he said his Chipotle is, was able to reuse 70% of the automation components. Right. That's huge. I mean, you have to think about it. 70% can be reused from testing to RPA and vice versa. That's a huge acceleration. Also on the IPA side, you can automate more processes faster. If you have components that you can trust. >>So you were a tester. Yeah. So you were a cost center. Yes, exactly. >>Unnecessary. What's the budget. >>So could you think RPA and automation can flip that mindset? Yes, >>Totally. And that's one of the things we want to do is we want to turn testing from a cost center to a value center, give testers a new career paths, even because really testers before all you could do is you could be more technical. Maybe you become a developer or you could be a manager, but you couldn't really become like an automation architect or a senior automation person. And now we're giving them a whole different career path to go down. So it's really exciting >>Because I know when I came out of college, I had a job offer and I wanted to be a developer, a programmer. We call them back then. And the only job I could get was as a tester. And I was like, oh, this is miserable. I'm not doing this, but there's a, there was a growth path there. They were like, Hey, do this for two or three years, maybe five years. I was like, forget it. I'm going into sales and marketing. But so what's the, what's the growth path today for the tester. And how do you see this >>Changing? So you want to go, you want to, I can take that one. No, you take it. I mean, I did it, so really it's, I mean, we're going to be giving these guys, the testing market has been kind of not innovating for years and years and years. And so we're going to be giving these guys some new tools to make them more powerful, make even the cause. Testing is a kind of a practice that is, you know, like, like you said, you didn't like testing. I didn't like testing either. Actually I hate testing. So I automated it. Right. So, um, and so that was the first thing I did. And so I think we're going to give these guys some new tools, some ways to grow their career and some ways to be even better testers, but like, like, like we talked about process mining, test mining, like maybe they're maybe they're testing the wrong things. Maybe they're not testing, you know, maybe, you know, there, cause there's kind of this test, everything mentality where we need to test everything and the whole release instead of like focusing in on what changed. And so I think we'll be able to help them really focus on the testing and the quality to make it more efficient as well. However, >>So T to defend the testers, right test is a very skilled people. Yes. They know their business, they know what to test and how to test in a way that nobody else knows that it's something we sometimes underestimate. They are not developers, so they don't write code or they don't build automations typically. But if we can equip them with tools that they can build out information, you have the brain and the muscle together, you know what I mean? You don't have to delegate the automation to some, whatever team that is maybe outsourced even you can do it. In-house and I think to some extent, that was also the story of Chipotle, right? Yeah. Yeah. They were in sourcing again because they're building their own >>And it saved them time because they have deal is handoffs, you know, to an external third party to do the testing for them. And so they pulled it all in made things much more streamlined and efficient. How >>Is that? It seems like a big cultural shift within any type of organization in any industry we're using as an example here, how does UI path help facilitate that cultural shift? Cause that's big and we're talking about really reducing, um, or speeding time to value. >>Right. Right. And it is a lot of the agile methodology is like, we're starting. So it's kind of like, we're going back in time, you know, and we're teaching these people, you know, the RPA community, all of the things that we learned from software development. Right. And so we're going to bring applying that to this. And so all those agile mindset, the th the agile values, you know, those are the things that are going to help them kind of come together. And that's one of the things that Julie talked about is one of the things is they had a kind of agile mindset, a can-do attitude that pulled them together. >>I think one thing that will really helps with changing the culture is empowering the people. If you give them the tools that they can do, they will do, and that will change the culture. I don't think it can come from top down. It needs to come from within and from the people. And that's what we see also with RPA, by the way, is adopted on department level and D build automations. And then at some point it becomes maybe an enterprise wide initiative, right. But somebody in HR had this idea and started >>The other thing too, is Matt, you mentioned this, you could go to a third party. So what years ago? In the early two thousands, we had a software company. We would use a company called agile on. They were us. I don't know if you ever heard of them. They're basically, we're a job shop. And we would throw our code over the very waterfall, throw the code over the fence. It was a black box and it was very asynchronous. And it would come back, you know, weeks later. And they say, I fix this, fix this, but we didn't have the analytics we didn't have. There was no transparency. Had we had that. We would have maybe come up with new ideas or a way to improve it because we knew the product way better. And so if you can bring that, in-house now you've got much better visibility. So what, what analytics are analytics a piece of this? >>Is that something that is so, I mean, I'll give you an example, SAP systems, right? When you have SAP systems, customers apply transports like five or 10 a day. Every transport can change the system in a way that you might break the automation. We have the possibility to actually not only understand what's going on in this system with process mining, but we also have the possibility to do change, impact, money, and change impact. Mining tells me with every process, every transport I apply, what has changed, and we can pinpoint the test cases that you need to run. So instead of running a thousand test cases, every time we pinpoint 50 of them and you know exactly what has changed. Yeah. >>That's right. Cause a lot of times you don't know what you don't know. And you're saying the machine is basically saying focus on these areas that are going to give you the biggest, that's kind of Amdahl's law, isn't it focus on the areas that are going to get the most return. Yeah. So this is a new business for UI path. You guys are targeting this as a market segment. Can you tell us more about that? >>We joined about two years ago. It takes some time to build something, right. There was a lot of proven technology there. And then we lounged, uh, I think it wasn't July last year, which was more like a, uh, private lounge. We, we didn't make much noise around it and it's gaining a lot of traction. So it's several hundred customers have already jumped on their test bandwagon, if you can call it this way. And yeah, this, this year we were pushing full speed into the testing market as well, because we see the benefits that customers get when they use both like the story from Chipotle. It has other customers like Cisco and, and more, when you hear the stories, what they were able to achieve. I mean, that's a no-brainer I think for any customer who wants to improve the automation. Yeah. >>Well, and also we're taking production grade automation and giving it to the testers and we're giving them this advanced AI so they can automate things. They weren't able to automate before, like Citrix virtual virtualized machines, point of sale systems, like 12 layer, any other business would have, they can automate all those things now that they couldn't do before, as well as everything else. And then they can also the testing tools, they talked about fragmentation this morning. That's another problem is there's a tool for mobile. There's a tool for this. There's a tool for API APIs. You have all these tools, you have to learn all these languages. We're going to give them one. They can learn and use and apply to all their technologies. And it's easy to use and it's easy to use. Yeah. >>That's kind of been the mantra of UI path for very long time, easy to use making, making RPA simple. We've got 8,000 plus customers. You mentioned a few of them. We're going to have some of them on the program this week. How do you expect good question for you that stat that you mentioned from that survey in the very beginning of our conversation, how do you expect that needle to move in the next year? Because we're seeing so much acceleration because of the pandemic. >>That's a really good question because the questions that we had in the, after we had the first hundred, right? The values didn't change that much. So we have now 1500 and you would assume that is pretty stable from the data. It didn't change that much. So we're still at 27% that are not testing. And that's what we see as our mission. We want to change that no customer that has more than, I dunno, five processes in production should not like not test that's crazy and we can help. And that's our mission. So, but the data is not changing. That's the interesting part. >>I know, I know we're out of time, but, but we're how do you price this? Is it a, is it a set? Is it a subscription? Is it a usage based model? How, how do you, >>It's fully included in the UI pass tool suite. So it means it's on the cloud and on-prem the pricing is the same. We are using this. There >>It is. Yeah. >>It's the same components. Like, like we're using studio for automation, we're using orchestrator, but we're using robots. We have cloud test manager on prem test manager. It's just a part of the >>Value, add that you're putting into the platform. Yeah, yeah, >>Exactly. Yeah. There are components that are priced. Yes. But I mean, it's part of the platform, how it is delivered. >>Yeah. So I paid for that module and you turn it on and use it. So it's a subscription. It could be an annual term if I want multi-year term. I can do that. Exactly. Good. Great guys. Thanks so much for coming on the Cuban and good luck with this. Thank you. Great, great innovations. Okay. Keep it right there at Dave Volante for Lisa Martin, we'll be back with our coverage of UI path forward for, from the Bellagio in Las Vegas. Keep it right there.

>>From the Bellagio hotel in Las Vegas, it's the cube covering UI path forward for brought to you by UI path. >>We'll go back to the cubes coverage of UI paths forward for big customer event. You know, this company has always bucked the trend and they're doing it again. They're having a live event, physical event. There are customers here, partners, technologists. I'm here with Lisa Martin, my co-host for the show. And we're going to talk about testing. It's a new market for UI path. If anybody knows anything about testing, it's kind of this mundane, repetitive process ripe for automation geared vice-chairs. Here's the senior vice president of testing products at UI path and Matt Elisa. Who's the product marketing lead at UI path. Gents. Welcome to the cube. Thanks for coming on. Thanks for having a feminist Likert. Explain to us how you guys think about testing both from an internal perspective and how you're going to market. >>Yeah, well, testing has been around for a long time, right? 20 twenty-five years or so when, when I came to UI pass, the first thing I looked at was like, how do our customers test RPA? And it's quite interesting. We did a survey actually with 1500 people and, uh, 27% said that they wouldn't test at all. And I thought that's really interesting. RPA is a business critical software that runs in your production environment and you probably have to test. So we came up with this idea that we create the test suite. We're using, you know, proven technology from UI pass. And, and we built this offering and brought us into market for RPA testing in for application testing. So we do both. And of course we use it internally as well. I mean, that will be, you know, eat your own dog food or drink your own champagne, I guess. So >>I want to think about it. If you, if you automate, if you, if there's an ROI to automate a process, there's gotta be an ROI to verify that it's going to work before it goes into production too. And so it's amazing that a lot of companies are not doing this and they're doing it manually, um, today. >>So, so, but so, but parts of testing have been automated, haven't they with regression testing. So can, can you guys take us through kind of the before and after and how you're approaching it versus the traditional? >>Yeah, absolutely. I mean, like I said, testing is not new, right? Um, but still when you look at the customers, they're not out to meeting more than I would say, 30, 40% of the manual tests. So still a lot of Stan manually, which I think, and we talked about this right manual testing is the, the original RPA. It's a tedious, repetitive tasks that you should not do manually. Right? And so what we are trying to bring in is now we're talking about this new role it's called the digital tester. The digital tester is an empowered. We could call a manual tester, who's able to build automation and we believe that this will truly increase the automation, even in the existing testing market. And it's going to be, I don't want to use the word game changer, but it's going change. Uh, the way testing is done. Yeah. >>And we're, we're applying, um, all the capabilities of UI path and delivering those to testers, just like we would for HR team or a, or a, a finance and accounting team. But testing even has they understand this more, they've been doing this for 20 years. They understand automation and we're going to give them things like process mining so they can figure out what tests they need to run from production data. We're going to give them task mining so they can make more human-like tests test. Exactly. Like I used to be a tester and I ran a test team. And what I used to do is I have to go out to a warehouse and I'd have to go watch people as they entered orders, to make sure I was testing it the right way. So they would like click. We usually thought they were clicking things, but they were using hotkeys. That's just an example of what they were doing. But now we can do task task mining to get that remotely, pull that data in and do tests and make more realistic tests. >>So much of the there's so much potential there. I think you were saying that only 27% are actually doing testing. So there's so much opportunity. I'm curious, where are your conversations within the customer organization? We know that automation is a board level investor topic. Where are you? Where are those discussions with the testing folks, the RPA folks, helping them come together? >>Well, that's interesting. The question, uh, we typically on the IPS, have we talked to the cos, right? The people that are professionally developing those RPAs, but very easily, we get introduced to the test side of the house. And then usually there's a joint meeting where the test people are there, the RPA people are there. And that's why we are talking about this is going to convert somehow, right? The are in different departments today. But if you think about it, five years down the road, maybe 10 years, they might be at an automation discipline for the entire enterprise. So if that answered your question about, >>Yeah. >>Going to require a cultural shift. Yeah. And we have a customer coming presenting this afternoon. and they're gonna be talking about how they, both of the teams are using a test teams and the RPA teams. And they built a reusable component library that, so when they built RPA team built their automations, they put them in a reusable library and the test team is able to recreate their test much faster reusing about 70% of the components. And so when the, when you think of automation, they're thinking about automating the application, not automating a process or a test so that people can use those like Lego blocks and build it if they're doing so, they could even, even it automation, if they wanted to start with an it automation, they could pull those components out and use those. >>I think this is game changing is quality because so often, because in this day and age of agile, it's like move fast and break things. A lot of things break. And when we heard this morning in the keynotes, how you guys are pushing code like a couple of times a week, I mean, it's just a constant. And then you do two big releases. Okay. I get, I get it for the on-prem. But when you're pushing code that fast, you don't have time to test everything. There's a lot of stuff that's unknown. And so to the extent that you can compress all those check boxes, now I can focus on the really important things that sometimes are architectural. How do you expect applying RPA to testing is going to affect the quality? Or maybe you've got some examples. Chipotle, you just mentioned, >>First of all, I mean, when you say we pushing code like bi-weekly or so, right. We're talking about continuous development. That's what it's called. Right? It's agile. You have sprint cycles, you continue to bring new code, new code, new code, and you test all the increments with it. So it's not that you building up a huge backlog for the testing on the IPA side. What I see is that there will be a transformation about the process, how they develop RPA at the moment. It's still done very much, I would say, in a waterfall way, which is agree. A big bang waterfall. Yeah. It will transition. We already have partners that apply agile methodologies to their actually RPA development. And that's going to change that. >>Okay. So it's not so it's quality for those that are in testing obviously, but, but it's, but for the waterfall guys, it's, it's compressing the time to value. Oh yeah. That's going to be the big key. That's really worth. >>I mean, what he said is Chipotle is, was able to reuse 70% of the automation components. Right. That's huge. I mean, you have to think about it. 70% can be reused from testing to RPA and vice versa. That's a huge acceleration. Also on the RPA side, you can automate more processes faster. If you have components that you can trust. >>So you were a tester. Yeah. So you were a cost center. Yes, exactly. >>Unnecessary. What's the budget. >>So could you think RPA and automation can flip that mindset? >>Yeah, totally. And that's one of the things we want to do is we want to turn testing from a cost center to a value center, give testers a new career paths, even because really testers before all you could do is you could be more technical. Maybe you become a developer or you can be a manager, but you couldn't really become like an automation architect or a senior automation person. And now we're giving them a whole different career path to go down. So it's really exciting. >>'cause I know when I came out of college, I had a job offer and I wanted to be a developer, a programmer. We called them back then. And the only job I could get was as a tester. And I was like, oh, this is miserable. I'm not doing this, but there's a, there was, there's a growth path there. They were like, Hey, do this for two or three years, maybe five years. I was like, forget it. I'm going into sales and marketing. But so what's the, what's the growth path today for the tester. And how do you see this changing? >>So you want to go, you want to, I can take that one. No, you take it. So that's a really, yeah. I mean, I did it, so really it's, I mean, we're going to be giving these guys, the testing market has been kind of not innovating for years and years and years. And so we're going to be giving these guys some new tools to make them more powerful, make even the cause. Testing is a kind of a practice that is, you know, like, like you said, you, you didn't like testing. I didn't like testing either. Actually I hate testing. So I automated it. So, um, and so that was the first thing I did. And so I think we're going to give these guys some new tools, some ways to grow their career and some ways to be even better testers, but like, like, like we've talked about process mining, test mining, like maybe they're maybe they're testing the wrong things. Maybe they're not testing, you know, maybe, you know, there, cause there's kind of this test, everything mentality we're we need to test everything and the whole release instead of like focusing in on what changed. And so I think we'll be able to help them really focus on the testing and the quality to make it more efficient as well. >>Go ahead. So do to defend the testers, right? Test is a very skilled people. Yes. They know their business, they know what to test and how to test in a way that nobody else knows that it's something we sometimes underestimate. They are not developers so that they don't write code and they don't build automations typically. But if we can equip them with tools that they can build out information, you have the brain and the muscle together, you know what I mean? You don't have to delegate the automation to some, whatever team that is maybe outsourced even you can do it. In-house and I think to some extent, that was also the story of Portland sourcing again, because they're building their own automation. Yeah. >>And it saved them time because they have deal is handoffs, you know, to an external third party to do the testing for them. And so they pulled it all in made things much more streamlined and efficient. How >>Is that? It seems like a big cultural shift within any type of organization in any industry we're using Chipola as an example here, how does your path help facilitate that cultural shift? Because that's big and we're talking about really reducing, um, or speeding time to value. >>Right. Right. And it is a lot of the agile methodologies like we're starting. So it's kind of like, we're going back in time, you know, and we're teaching these people, you know, the RPA community, all of the things that we learned from software development. Right. And so we're going to be applying that to this. And so all those agile mindset, the th the agile values, you know, those are the things that are going to help them kind of come together. And that's one of the things that Julie talked about is one of the things is they had a, kind of an agile mindset, a can-do attitude that pulled them down. >>And I think one thing that will really helps with changing the culture is empowering the people. If you give them the tools that they can do, they will do, and that will change the culture. I don't think it can come from top down. It needs to come from within and from the people. And that's what we see also with RPA, by the way, is adopted on department level and D build automations. And then at some point it becomes maybe an enterprise wide initiative, right. But somebody in HR had this idea and started >>The other thing too, is Matt, you mentioned this you'd go to a third party. So years ago in the early two thousands, we had a software company. We would use a company called agile on. They were, so I don't know if you ever heard of them. They're basically, we're a job shop. And we would throw our code over the very waterfall, throw the code over the fence. It was a black box and it was very asynchronous. And it would come back, you know, weeks later. And they say, oh, I fixed this, fixed this, but we didn't have the analytics we didn't have. There was no transparency had we had that. We would have maybe come up with new ideas or have way to improve it because we knew the product way better. And so if you can bring that, in-house now you've got much better visibility. So what, what analytics are our analytics a piece of this? And is that something? Yeah. >>Yeah. So, I mean, they'll give you an example, SAP systems, right? When you have SAP systems, customers apply transports like five or 10 a day. Every transport can change the system in a way that you might break the automation. We have the possibility to actually not only understand what's going on in this system with process mining, but we also have the possibility to do change, impact, money, and change impact. Mining tells me with every process, every transport I apply, what has changed, and we can pinpoint the test cases that you need to run. So instead of running a thousand test cases, every time we pinpoint 50 of them and you know exactly what has changed. Yeah. >>That's right. Because a lot of times you don't know what you don't know. And you're saying the machine is basically saying focus on these areas that are going to give you the biggest, that's kind of Amdahl's law. Isn't it focus on the areas that going to get the most return. Yeah. So this is a new business for UI path. You guys are targeting this as a market segment. Can you tell us more about that? >>We joined about two years ago. It takes some time to build something, right. There was a lot of proven technology there. And then we lounged, uh, I think it wasn't July last year, which was more like a private lounge. We, we didn't make much noise around it and it's gaining a lot of traction. So it's several hundred customers have already jumped on that test bandwagon, if you can call it this way. And yeah, this, this year we are pushing full speed into the testing market as well, because we see the benefits that customers get when they use both like the story from Chipotle. It has other customers like Cisco and, and more, when you hear the stories, what they were able to achieve. I mean, that's a no-brainer I think for any customer who wants to improve the automation. Yeah. >>Well, and also we're taking production grade automation and giving it to the testers and we're giving them this advanced AI so they can automate things. They weren't able to automate before, like Citrix virtual virtualized machines, point of sale systems, like 12 layer, any other business would have, they can automate all those things now that they couldn't do before, as well as everything else. And then they can also the testing tools, they talked about fragmentation this morning. That's another problem is there's a tool for mobile. There's a tool for this. There's a tool for API APIs and you have all these tools. You have to learn all these languages. We're going to give them one that they can learn and use and apply to all their technologies. And it's easy to use and it's easy to use. Yeah. >>That's kind of been the mantra of UiPath for very long time, easy to use making, making RPA simple. We've got 8,000 plus customers. You mentioned a few of them. We're going to have some of them on the program this week. How do you expect good question for you that stat that you mentioned from that survey in the very beginning of our conversation, how do you expect that needle to move in the next year? Because we're seeing so much acceleration because of the pandemic. >>A really good question, because the questions that we had in the beginning after we had the first hundred, right? The values didn't change that much. So we have now 1500 and you would assume that is pretty stable from the data. It didn't change that much. So we're still at 27% that are not testing. And that's what we see as our mission. We want to change that no customer that has more than, I dunno, five processes in production should not like not test that's crazy and we can help. And that's our mission. So, but the data is not changing. That's the interesting part. >>And I know, I know we're out of time, but, but we're how do you price this? Is it a, is it a set? Is it a subscription? Is it a usage based model? How >>It's fully included in the UI pass tool suite. So it means it's on the cloud and on-prem the pricing is the same. We are using this. There it is. Yeah. It's the same components. Like, like we're using studio for automation, we're using orchestrator, but we're using robots. We have cloud test manager on prem test manager. It's just a part of the, >>So it's a value add that you're putting into the platform. Yeah, yeah, exactly. >>Yeah. Th there are components that are priced. Yes. But I mean, it's part of the platform, how, >>But it's a module. So I paid for that module and you turn it on and then they can use it. So it's a subscription. It could be an annual term if I want multi-year term, I can do that. Exactly. Good. Great guys. Thanks so much for coming on the Cuban and good luck with this. Thank you. Great, great innovations. Okay. Keep it right there at Dave Volante for Lisa Martin, we'll be back with our coverage of UI path forward for, from the Bellagio in Las Vegas. Keep it right there.

>> Announcer: Live from Las Vegas, it's theCUBE covering NetApp Insight 2018, brought to you by NetApp. >> Welcome back to theCUBE's live coverage today of NetApp Insight 2018, I am Lisa Martin. Stu Miniman is my co-host for the day, and we're welcoming to theCUBE, for the first time, a couple of guests, one from NetApp, my former colleague, Emily Miller, acting VP of brand content and influencer marketing. And one of this morning's keynote, Gerd Leonhard, futurist, the CEO of The Futures Agency. I loved, Gerd, I loved your keynote this morning, it was very very interesting and informative. >> Thank you. >> And I liked how you said, you don't predict the future, you observe the future. So Emily, thinking about NetApp, its history, NetApp today, and in the future, talk to us a little bit about how this brand has transformed. >> Sure >> Not just digitally, for IT, but transforming, taking the feedback, and the really, kind of direction from your customers. >> Sure, so if I think about, you know, NetApp's been around for 25 years and we've played a great role in the, you know, kind of the storage history. But over the last few years as our customers' needs have changed, you know, really having to have data as your design point, how everything is evolving, changing, hybrid cloud, multi-cloud, we had to listen to that and knowing that our customers are going to places like AI and, you know, deep learning, we have to move there. And so, a couple years ago, we looked at who are we as a company and who are we going to be for the next 25 years? And our purpose now is around how we empower our customers to change the world with data because that is what they are doing. So using a lot of these technologies, and the things that Gerd talked about this morning, it is happening, and so, we've got some great customers we're working with, where we're able to kind of see that brand promise come to life with things they're doing, and we're just excited to be able to continue to work with those companies that are pushing the edge because that helps us be better and be more proactive about the future. >> When you talk with customers, #datadriven is all over, right? We've been hearing that for a while. What is being data driven mean to a customer, because as Gerd talked about in his keynote this morning, there's always that conversation, Stu, we hear it all the time on theCUBE, on ethics. >> Right. >> When you talk about enabling customers to be data driven and developing a data strategy, how do they internalize that and actually work with NetApp to execute? >> Right, so we really see it as putting data at the heart of your business, it is that lifeblood, it has to be centered around that. And then, thinking about data fabric, it's really the strategy and the approach, so how do you envision how data from all over, all parts of your organization are able to be leveraged? You get the access and the insights, and you can utilize it. You don't want it to be stagnant, you've got to be able to use it to make better decisions, to have that information, those insights at your fingertips to do the things that have to be done in real time, all the time. >> So Gerd, we want to bring you into discussion here, there's certain fears, for people in technology, "Oh my gosh, my job's going to be "replaced, that can be automated." You know, I've gone to shows, talk about, oh hey, in humans, you're good at getting things to 95, 96%. You know, I can get perfectly accurate if I let the robots just automate things. You write about humans versus technology, what's your take? You know, singularity's coming, you were saying, so are we all out of a job? >> Well, this is of course, what I call a reductionism, right? It's the idea that you would have a machine who would do just what I do, exactly what I do, for very little money, and then you would have thousands of other machines that do thousands of other things, then. And the fact is that, I think McKinsey's study says only 5% of all jobs that can be automated, can be fully automated. So, even a pilot can be automated, but I wouldn't fly an airplane without a pilot, so we still have a pilot. And data scientists can be automated by an AI, yes, but there'll be many things that I need the data scientist for as a person. So, if you take human skills, what I call the andro-rhythms, you know, the human things. So, passion, ingenuity, design, creativity, negotiation. I think computers may learn that in 100 years, but to really be compassionate, it will have to be alive. And I wouldn't want them to be alive. So, I'm saying that yes, true, I think if you only do routine, like bookkeeping, like low level financial advice, like driving a bus. You have to retrain and relearn, yes. But otherwise, I wouldn't be that negative, I think there's also so many new things happening. I mean, 10 years ago, we didn't have social media managers, right, and now we got what, 30 million? So, I'm not that dark on the future there. >> I'm glad, you actually, you gave a great quote from Albert Einstein talking about that, really, imagination is infinite as opposed to, knowledge is kind of contained. NetApp talks a lot about being data driven, you gave the Jeff Bezos example of, you know, I need to listen to it. But there's heart, and there's kind of history, there's another great line from Jeff Bezos, is, "There is no compression algorithm for experience." So, how do we as humans balance that humanity and the data and the numbers? >> Well, the reality is, we don't live in a binary world. When we look at technology, it's always about yes, no, yes, no, zero, one. That's what machines do, we don't do that. (laughs) Humans are called multinary, which is essentially, to us, a lot more things matter than yes or no. Like, it depends, maybe, it may change, and so on. And so if we just look at that and say it's going to be data or humans, we have to pick one of the two, that will be a rather strange suggestion. I think we need to say that it's sometimes data, sometimes human, but we have to keep the humans in the loop, that's my key phrase. >> And I would say, I feel like that's really our opportunity as humans, is to decide where is the value, where is the layer of value that we add on. You know, again, kind of thinking back to NetApp's history, we're moving from storage to data, we are evolving. We have to add value at a higher level for our customers, and what was something that maybe we did as humans, and for advising, that's automated now, like think of the demo we saw this morning, and now what is that additional layer of value that you add on top? >> Yeah absolutely, as you're both saying, it's not a binary thing, Andy McPheener from Jolmston, from MIT, say, tracing with the machines, that humans plus machines will do way better than either humans or robots alone. >> You know, I think if you are arguing that we would be in a perfect world if the machines could run it perfectly, then I would argue that world would be a machine, right? So, it would be perfect, but it wouldn't be human, so what are we getting, right? It's a bad deal, so I think we need to find a good balance between the two, and also carve out things that are not about data. You know, like dating and love, relationships, you know, that can be about data, like matching, right? But in the end, the relationship isn't about data. (laughs) >> Well, you even said this morning, it's, knowledge is not the same thing as understanding. >> Right. >> And that's kind of where we are at these crossroads. Emily, let's kind of wrap up with you, you got some interesting customer examples, of how NetApp is helping customers become and live that data driven life, and embrace these emerging technologies, like AI. >> Right, so we have a customer we're working with in Serbia, and they are basically kind of digitizing a human to be able to interact from an AI standpoint, in terms of having an interactive conversation. And I've seen some of this before, with interviewing your grandparents, and you can store them, and you can interact, and I think what's really exciting, is that gives you the opportunity to do something you never could do before. I think to your points this morning, it's, how do we make sure we don't lose the richness from those more kind of offline experiences, so that they are complimentary? If we, as we expand and do things that we couldn't think about, that we didn't, we couldn't envision or imagine, and I think that's about being a data visionary. Like the people at the companies like 3Lateral, like we've seen today, on Wuji NextCODE on stage, the data visionaries are those who are saying, how can data transform my, not just my company, but my industry, my category, and how do I really think about it completely differently? >> It's an exciting time. Emily, Gerd, thank you so much, I wish we had more time to chat with you guys, but we appreciate you stopping by theCUBE and sharing your insights. >> Great, thank you. >> You're welcome. >> Insight, pun intended. I'm Lisa Martin with Stu Miniman, we are with theCUBE, live all day at NetApp Insight 2018, stick around, Stu and I will be right back with our next guest.

>> Announcer: Live from Las Vegas, it's theCUBE, covering NetApp Insight 2018. Brought to you by NetApp. >> Welcome to theCUBE, we are live at NetApp Insight 2018, I'm Lisa Martin and I'm joined by Stu Miniman. Stu and I are going to be here all day. And this is the third annual Insight, with customers and partners and NetAppians and analysts and press. Stu this is the second time theCUBE has been here. We just came from the keynote and the interesting thing that Stu, that you and I both noticed, was at least the first 75 minutes of the keynote that we got to see today, none of the product news was announced. It was really about strategy, #datadriven, how NetApp wants to enable their customers from DreamWorks to oil and gas companies, health care, etc. To use data, develop a data strategy, to move their businesses into the digital age. >> Yeah, Lisa, first of all, great to be working with you again. >> Always. >> And I'm excited, it's second year that we've been at this show, third of the NetApp Insights that we've done. Cause we've done both the U.S. and the European shows. My first time actually coming to a NetApp event. I remember, gosh I'm showing my age, I remember when NetApp started, network storage was becoming a thing. NetApp really rose its ascendancy with file systems and NAS, and FAS was the one operating system to rule them all, really grew into a very sizable business. Company's about $6 billion worth of revenue and I think somewhere about 10,000 employees. Today, NetApp is really the largest independent storage company after Dell took EMC off as an independent now, so it's interesting to watch. George Kurian got on stage and talked about digital transformation. And one of the things I'm really interested in looking at is how is NetApp doing in that transformation? Because, most people when I was talking to some customers at some of the meals and walking the floor and things like that it's, NetApp is my filer company. I buy boxes, sometimes I mine some software and there's some things there, but I'm the guy that runs NetApp Gear, if you will. And that transformation, what is the NetApp of 2019 and beyond? Are they a storage company? Are they a hybrid, multi-cloud software led something something company in the future? Are they a services company? There's a nice ecosystem here, so that's what I'm excited to dig into. George Kurian he in the keynote this morning, laid out the four things that companies need to do for digital transformation. It's something we'll dig into, but yeah, I had to go search NetApp on the news release and be like, oh Cloud Insights, and ONTAP in the Cloud, and HCI and Partnership News and things like that, so there definitely is some news, they just didn't talk about it in the keynote. >> Yeah, it was an interesting keynote for me, and as theCUBE we go to a lot of keynotes, many times a year, and this was an interesting start to it. It's clear from the NetApp messaging on NetApp.com, NetApp Insight, things that are being put out on media that they're really putting cloud at the heart of their strategy. The discussions and the keynote this morning included futurist Gerd Leonhard, who's going to be on the program with us in just a few minutes. Interesting take on data, humanity, the only thing that NetApp talked about was about 75 minutes minutes into they keynote this morning was when Anthony Lye got on, he's going to be on the show later today, talking about the data fabric. And I think some of the messages that NetApp was wanting to get out is that data fabric is transforming from a vision into an architecture kind of foundationally to enable organizations to employ those four principals of digital transformation that George Kurian talked about. Digital transformation requires IT transformation, speed is the new scale, some interesting thoughts and concepts there, more conceptual. I liked the DreamWorks customer, I think she's a great speaker. Kind of talked also about how DreamWorks, everybody knows DreamWorks, "Shrek", "How to Train your Dragon", are becoming more morphing from a customer to an engineering partner. So that was and interesting kind of, I wouldn't even say undertone, but part of the story today. >> You know, Lisa, absolutely. When you look at traditionally, not only NetApp, but all the storage companies, where they sold to. It was the storage budget, and oh how do I manage with the explosion of data, and that growth and what's the performance, the speeds and feeds, the price per terabyte, all that kind of stuff? I thought we could actually take George Kurian's four characteristics and say, how's NetApp doing? First is digital transformation requires IT transformation. >> (Lisa) Right. >> I heard yesterday in some of the sessions they actually had some of NetApp's IT people talk about how they're leveraging and using new technologies. We talked about speed is the new scale, well how fast is NetApp? We have a number of acquisitions. There was the big SolidFire acquisition which is now fully part of the portfolio. They had a Kubernetes company that they bought recently. They've had management companies that they bought. How fast is NetApp keeping up with the pace of what they're doing? Hybrid multi-cloud, I think NetApp first of all was really what you would call software-defined before that was a thing, and they were very early in jumping on this wave of we need to play in the cloud environment. Most of the storage companies really lined up and was like, oh wait, Amazon's the competition, you can't do that, but NetApp was partnering with Amazon for many years, now I'd like to see more proof points as to what customers are doing, how are they doing it differently. But absolutely we're going to have Microsoft Azure on the program with Anthony Lye, this afternoon. I know we're going to be talking about Amazon, we're going to be talking about Kubernetes and Istio, where does NetApp fit into that environment? I've been going to theCUBE Con shows for a couple years, and storage is actually lagging in that space. When you talk about having persistent data, that's not something we're there with. We spent more than a decade trying to fix storage and networking in the virtualized environments, and NetApp played a strong role in helping on the storage piece there. So it would be great to see how they are going to play into the Kubernetes and issue discussion. And the last piece is they said moving from data center to data fabric. >> Right. >> Which is the closest tie to the products as you said. >> (Lisa) Yes, exactly. >> To what they're doing. >> Well, Stu we have a jam-packed schedule today, all day. We're going to be able to unpack a lot of things from NetApp, execs, to their branding folks, to customers, so Stu and I will be right back with our next guest. Again, theCUBE Live from NetApp Insight 2018. We'll be right back. (music)