>> From Times Square, in the heart of New York City, it's theCUBE, covering Imagine 2018. (upbeat electronic music) Brought to you by Automation Anywhere. >> Hey, welcome back, everybody, Jeff Frick here, with theCUBE, we're in downtown Manhattan at Automation Anywhere Inspire 2018, about 1,100 people talking about bots and RPA, that's robotic process automation, for those who aren't in the know. And we're excited to have another co-founder join us. She's Neeti Mehta, she's a SVP and co-founder, welcome. >> Nice to meet you Jeff. >> So you're tackling some of the softer, more complex issues that come up around machines and bots and people and working together, and people's jobs getting takeaway, so as leaders try to put in more automation, start thinking about adopting things like Automation Anywhere and bots, what are some of the big ethical things they need to think through? What are some of the bigger issues that maybe aren't top of mind, that are really worth a little deeper thought? >> So one of the things we like to bring to focus is, that corporate leadership and corporations must look at it with a human focus. Robotic process automation helps get rid of the mundane and repetitive tasks, but the ultimate goal is so that you can enable the humans to do more. To enable a lot more creativity, or outside the box thinking or come up with new service models. Come up with new ways to solve things. And this is only possible if you get rid of the repetitive, mundane tasks, which often bogs down humans. >> Right. >> And so, coming at it from asking leadership to look at it right from the forefront. How can we enable the humans to do more, how can we enable our human workforce to use this technology, to unleash that potential? >> Right, and how receptive is the workforce to that message, or are they just afraid that these bots are coming in to take their jobs on some of these more repetitive tasks or, you know, is the rollout and communication and some of your guys' customers, you've been at this for a while, you know is that part of the rollout? Is that part of the implementation to say, hey, you know, the goal here is to help these things with the stuff you don't like to do so much in your job. >> Right, right. >> So that you can have a higher level of productivity, a higher level of contribution. >> Right >> A higher level of everyday activity and tasks. >> Absolutely, I think change is always hard, and it takes a while to progress through it. Re-skilling is a part of some of this change that we are going through, especially with people working with bots or bots taking over some of the more repetitive, or mundane tasks, in a way. But having the leadership walk that change management, walk that transition with the human workforce, is part of our endeavor and we enable our corporations that work with us, and our partners, to make sure that they are able to do that and bring that focus to the human workforce. The more we talk about it, the more we put corporate focus on re-skilling and talking to our human workforce about what the ultimate vision is, and how we are going to get there, is very, very important. >> Right, now you're a co-founder, you've been at this for a while, and yet your blogs talk about audacious bots. Audacious is a really interesting choice of words, and one that you very specifically pick. What is so audacious about bots, and is that both a good thing and a bad thing? >> I think so, the audacity of bots, as I like to put it, is because bots promise to self-learn, or perform certain things like a human does, or perform cognitive functions. To some extent think through certain problems or questions that arise, and think is such a human skillset, and we're asking a bot to do the same thing as that, is very, very difficult. >> Right. >> For a human to comprehend. And that's why I call these bots audacious, because they promise to do all these things. But if we keep the thought process, that why are we enabling this technology, why are we focusing or encouraging this technology to be adopted? Is so that humans can unleash that potential, humans can get to that next level. >> Right. >> And so, it's important to do so. >> Right, Mihir touched on an interesting thing in a keynote, about now people are creating bots that are creating bots. >> Yes. >> So you know, I mean, we hear about that all the time, right? We've heard about the machines talking to one another in a language that nobody, that nobody understands what they're talking about. So have you seen the increases in compute, the increases in networking, the increases in storage, the prices of those things going down? How has that changed the evolution of the bots that you guys are creating, and how do you see that change in the evolution of the development of these tools going forward? >> Bots creating bots is an interesting concept, but remember that the context of the bot creating the bot is still up to the human. What we allow the bot to do, or what he is able to get more productivity out of, is important. And so, if we get those barriers right, or if we get those positions right for the bots to work in and then it is a pure corporate enhancement. It's an enhancement of everything the corporation brings to the table. >> Right, right. I'm just curious, like, so you guys been at this for a long time. When people start to really get into their journey with this technology and really you're starting to implement it and see things, what does happen to the human workforce? Do they get redeployed? Are they just doing different types of activities, generally within the same category of work? How have you actually seen it evolve in the real world? >> So yes to all those questions in a way. Some people will get redeployed, but what we are seeing right now is most people are able to take what they have and get rid of some of the things that they didn't really want to do anyways, which was very time-consuming. >> Right. >> And often, not a big value add to their own job sets that they're bringing to the workspace. So having that availability for the human to say, yes, I want to get rid of this 25% of my work that is very, very repetitive and have a bot do it so that I can actually go and do the five things I've always wanted to do. >> Right. >> But I never got to it. >> Right. >> And that's what we see on the work floor. We've also seen amongst all our implementations that humans who are embracing this bot enablement, as I like to call it, don't want to go back to the other way of doing it. It has improved their work life. It has improved what they bring to the table. It has improved how they deal with their coworkers or their jobs or what they are responsible for and they really don't wanna go back. That's what we're seeing on the floor. >> Right. >> And that's great. That means we're on the right track. We are enabling them with technology that will make a difference to that human. >> Right. >> And that is what this is all about. >> Right, I don't think, too, there's enough talk about, humans aren't really good at repetitive tasks. Those are where we make the most errors. Unfortunately people don't use the copy paste function enough. >> Yes. >> And I think we're aware it kind of manifests itself in just a consumer front-end application is addresses. >> Yes. >> And address verification when you buy something online and you get that thing that says, you know, here's the address that you typed in. >> Right. >> You know, here's the address that we have in our system. This is just a very clean, simple-- >> Crosscheck verification. >> Example of a crosscheck verification because we're not good as a species. >> Exactly. >> At repetitive, mundane tasks. >> It is, that's not our core strength and I haven't met a human who hasn't failed to impress me in some form or fashion. If we can unleash that potential on every human we are capable of such greatness. >> Right. >> We are not bound to transfer data from one system to another or do the same thing in rote without even considering or bringing in any enhancement to that data or that process. >> Right. >> And that's what we want to enable humans to do, to get to that next level. >> Right. >> Of what they're capable of. >> So Neeti, I want to give the last word. You've been at this from the beginning, 14 years, there's 1,100 plus people here in New York this week for this event, just your impressions of how does it feel to grow. I'm sure you're in a proud momma moment to see your company grow into what it's become. So as you look back and you reflect and you take in what's happening all around us here, just love to get your general impressions. >> It's been extremely exciting, I think, for multiple reasons. One is that we get to work with absolutely fantastic human beings, I think, who have brought a lot of greatness to Automation Anywhere and it's been an exciting journey from a career standpoint. From an industry and from a societal standpoint I think we're also at a cusp. We've changed a lot of the world of business and how it works and that is extremely satisfying to see. If we can leave something behind from the future of work prospects for our children, it is something that I am very happy about. >> Good, well, I gotta get some of this automation in my day to day life, let me tell you that. (laughs) All right Neeti, well thanks for taking a few minutes of your day and sitting down with us. >> Thanks Jeff, it was absolutely a pleasure. >> All right, she's Neeti, I'm Jeff. You're watching theCUBE from Automation Anywhere Imagine in New York City, thanks for watching. (upbeat electronic music)