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Bill Engle, CGI & Derrick Miu, Merck | UiPath FORWARD 5


 

>>The Cube presents UI Path Forward five. Brought to you by UI Path. >>Hi everybody. We're back at UI path forward to five. This is Dave Ante with Dave Nicholson. Derek Mu is here. He's automation product line lead for Merck. Thank you, by the way, for, you know, all you guys do, and thank you Dave for having in the, in the, in the vaccine area, saving our butts. And Bill Engel is back on the cube. He's the director at cgi. Guys, good to see you again. >>Good to see you. Thank >>You. So Merrick, Wow, it's been quite a few years for you guys. Take us through Derek, what's happening in sort of your world that's informing your automation strategy? >>Well, Dave, I mean as you know, we just came out of the pandemic. We actually have quite a few products like Gabriel Antiviral Pill. Obviously we worked, you know, continue to drive our products through a difficult time. But, you know, is during these can last few years that, you know, we've accelerated our journey in automation. We're about four years plus in our journey, you know, so just like the theme of this conference we're we're trying to move towards, you know, bigger automations, transformational change, continue to drive digital transformation in our company. >>Now Bill, you've been on before, but CGI tell people about the firm. It's not computer graphics imaging. >>Sure. No, it's, it's definitely not. So cgi, we're a global consultancy about 90,000 folks across the world. We're a, we're both a product company and a services company. So we have a lot of different, you know, software products that we deliver to our clients, such as CGI Advantage, which is a state local government EER P platform. And so outside of that, we, my team does automation and so we wrap automation around R IP and deliver that to our clients. >>So you guys are automation pros, implementation partners, right? So, so let's go back. Yep. Derek said four years I think. Yep. Right, You're in. So take us through what was the catalyst, how did you get started? Obviously it was pre pandemic, so it's interesting, a lot of companies pre pandemic gave lip service to digital transformation. Sounds like you guys already started your journey, but I'll come back to that. But take us back to the Catalyst four years ago. Why automation? We'll get into why UI path, >>Right. So I, I would say it started pretty niche in our company. Started first in our finance area. Of course, you know, we were looking in technology evaluating different companies, Blue Prism, ui P. Ultimately we chose UI p did it on-prem to start to use automation in sort of our invoice processing, sort of our financial processes, right? And then from there, after it was really when the pandemic hit, that's when sort of we all went to remote work. That's when the team, the COE continued to scale up, especially during pandemic. We were trying to automate more and more processes given the fact that more and more of our workers are remote, they reprocesses. How, how do you do events? You know, part of our livelihood is, is meeting with engaging with customers. Customers in this case is, are doctors and physicians, right? How do you engage with them digitally? How do you, you know, you know, a lot of the face to face contact now have to kind of shift to more digital, digital way. And so automation was a way to kind of help accelerate that, help facilitate that. >>You, you, I think you mentioned COE as in center of excellence. Yep. So, so describe your approach to implementing automation. It's, that sounds like when you say center, it sounds like something is centralized as, as opposed to a bunch of what we've been hearing a lot about citizen developers. What does that interaction >>Look like? We do have both. I would say in the beginning was more decentralized, but over time we, over the few years as, as we built more and more bots, we're now at maybe somewhere between four to 500 bots. We now have sort of internal to the company functional verticals, right? So there's an animal health, we have an animal health function. So there's, there's a team building engaging with the animal health business to build animal health box. There's human health, which is what I work on as well as hr, finance, manufacturing, research. And so internally there's engagement leads, one of the engagement leads that interact with the business. Then when there's an engineering squads that help build and design, develop and support and maintain those as well as sort of a DevOps team that supports the platform and maintains all the bot infrastructure. >>So you started in finance common story, right? I'm sure you hear this a lot Belt, How did you decide what to target? Was it, was it process driven decision? Was it, was it data oriented? Like some kind of combination? How did you decide, Do you remember? Or do you, could you take >>Us back to Oh yeah. So for, for cgi how we started to engage with MER is, you know, we, we do a lot of other business with Merck. We work on all their different business lines and we, we understand the business process. So we, we knew where there was potential for automation. So we brought those ideas to Merck and, and really kind of landed there and helped them realize the value from automation from that standpoint. And then from there the journey just continued to expand, you know, looking for those use cases that, that, you know, fit the mold for, for, for RPA to start. And now the evolution is to go to broader hyper automation. >>And, and was it CFO led into the finance department and then, or was it sort of more bottoms >>Up? Yeah, so, so I think it started in, in finance and, and, but we actually really started out in the business line. So out in regulatory clinical, that's, that's where we, we have the life science expertise that are embedded. And so I partnered with them to come up with, hey, here's a real solution we could do to help streamline, say submission archiving. So when, when submissions come back from the fda, they need to be archived into, you know, the, their system of record. So that's, those are the types of use cases that, that we helped automate. >>Okay. Cause you're saying a human had to sort physically archive that and you were able to sort of replicate that. Okay. And you started with software robots, obviously rpa and now you're expanding into, we we're hearing from UI this the platform message. How does that coincide Derek, with what you guys are doing? Are you sort of adding platform? What aspects of the platform are, are you adding? >>Yeah, no, I mean we are, we are on-premise, right? So we have the platform, but some of the cool things we just had, another colleague of mine presented earlier today. Some of the cool things we're, we're doing ephemeral infrastructure. So infrastructure as code, which essentially means instead of having all these dedicated bot machines, that that, you know, cuz these bots only in some cases run 10 minutes and they're done. So we're, we're soon of doing all on demand, you know, start up a server, run the bot when it's finished, you know, kill the server. So we only pay for the servers that we use, which allows us to save a whole >>Lot of money. Serverless bots. So you, but you're doing that OnPrem, so you >>No, >>No, but >>That's >>Cloud. We, >>We, we we're doing it OnPrem, but our, our bot machines that actually run the, let's say SAP process, right? We spin that machine up, it's on the cloud, it runs it finish, Let's say it's processed in one hour and then when it's done, we kill that machine. So we only play for that one hour usage of that bot machine. >>Okay. So you mentioned SAP earlier you mentioned Blue Prism when you probably looked at other competitors too. You pull the Gartner Magic quadrant, blah, blah, you know, with the way people, you know, evaluate technology, but SAP's got a product. Why UI path mean? Is it that a company like SAP two narrow for their only sap you wanted to apply it other ways? Maybe they weren't even in the business that back then four years ago they probably weren't. Right? But I'm curious as to how the decision was made for UiPath. >>Well, I think you hit it right on the nail. You know, SAP sort of came on a little later and they're specific to sort of their function, right? So UiPath for us is the most flexible tool can interact by UI to our sales and marketing systems, to, to workday, to service Now. It's, it cuts across every function that we have in the company as well as you're the most mature. I mean, you're the market leader, right? So Right. Definitely you, you continue to build upon those capabilities and we are exploring the new capabilities, especially being announced today. >>And what do you see Bill in the marketplace? Are you, are you kind of automation tool agnostic? Are you more sort of all in on? I >>Would say we are, we are agnostic as a company, but obviously as part of a, as an automation practice lead, you know, I want to deliver solutions to my clients that are gonna benefit them as a whole. So looking at UI path, you know, that this platform is, it covers the end to end spectrum of, of automation. So I can go really into any use case and be able to provide a solution that, that delivers value. And so that's, that's where I see the value in UI path and that's why CGI is, is a customer as well. We automate our internal processes. We actually have, we just launched probably SALT in the, in the market last week, expanded partnership with UiPath. We launched CGI, Excel 360. That's our fully managed service around automation. We host our clients whole UI path infrastructure and bots. It's completely hands off to them and they just get the value outta >>Automation. Nice, nice. Love >>It. Derek, you mentioned, you mentioned this ephemeral infrastructure. Yeah. Sounds like it's also ethereal possibility possibly you're saying, you, you're saying you have processes that are running on premises, right? But then you reach out to have an automation process run that's happening off pre and you're, and you're sort of, >>It's on the cloud, so, so yeah, so we have a in-house orchestrator, so we don't, we're not using your sort of on the cloud orchestrator. So, so we brought it in-house for security reasons. Okay. But we use, you know, so inside the vpn, you know, we have these cloud machines that run these automations. So, so that's, that's the ephemeral side of the, of the >>Infrastructure. But is there a financial angle to that in terms of when you're spinning these things up, are you, is it a, is it a pay by the drink or by the, by the CPU >>Hours, if you can imagine like we, you know, like I mentioned where somewhere between four to 500 bots and every bot has a time slot to run and takes a certain amount of time. And so that's hundreds and hundreds of bot machines that we in the old days have to have to buy and procure and, you know, staff and support and maintain. So in this new model, and we're just beginning to kind of move from pilot into implementation, we're moving all, all of bots this in ephemeral infrastructure, right? So these, okay, these machines, these bot machines are, you know, spun up. They run the, they, they run their automation and then they spin >>Down. But just to be clear, they're being spun up on physical infrastructure that is in your >>Purview and they spun up on aws. Yeah. Okay. And then they spin down. Okay, got >>It. Got it. Interesting. Four >>To 500 bots. You know, Daniel one point play out this vision of a bot chicken in every pot, I called it a bot for every employee. Is that where you're headed or is that kind of in this new ephemeral world, not necessary, it's like maybe every employee has access to an ephemeral bot. How, how are you thinking about that? >>That's a good question. So obviously the, the four to 500 is a mix of unattended bonds versus attended bonds, right? That, that we also have a citizen developer, sort of a group team. We support that as well from a coe. So, you know, we see the future as a mix. There's, there's a spectrum of, we are the professional development team. There's also, we support and nurture the personal automation and we provide the resources to help them build smaller scale automations that help, you know, reduce the, you know, the mundaneness and the hours of their own tasks. But you know, for us, we want to focus more and more on building bigger and bigger transfer transformational automations that really drive process efficiencies and, and savings. >>And what's the, what's the business impact been? You mentioned savings and maybe there's other sort of productivity. How do you measure the benefit, the ROI and, and >>Quantify that we, you know, I, I don't, I don't profess I don't think we have all the right answers, but yeah, simple metrics like number of hours saved or other sort of excitement sort of in like an nps, internal NPS between the different groups that we engage. But we definitely see automation demand coming from our, our functional teams going up, driving up. So it's, it's continued to be a hot area and hopefully we, we can, you know, like, like what the key message and theme of this, of this conference. Essentially we want to take and build upon the, the good work that we've done in terms of rpa and we want to drive it more towards digital transformation. >>So Bill, what are you seeing across the, your customer base in terms of, of, of roi? I'm not looking for percentages there. I'm sure they're off the charts, but in terms of, you know, you can optimize for fast payback, you know, maybe lower the denominator, you know, or you can optimize for, you know, net benefit over time, right? You know, what are you seeing? What are customers after they want fast payback and little quick hits? Or are they looking for sort of a bigger enterprise wide impact? >>Yeah, I think it's, it's the latter. It's that larger impact, right? Obviously they, you know, they want an roi and just depending upon the use case, that's gonna vary in terms of the, the benefits delivered. And a lot of our clients, depending on the industry, so in in life sciences it may be around, you know, compliance like GXP compliance is huge. And so that may may not be much of a time saver, but it ensures that they're, they're running their processes and they're being compliant with, you know, federal standards. So that's, that's one aspect to it. But you know, to, you know, a bank, they're looking to reduce their overall costs and and so on. But yeah, I think, I think the other, the other part of it is, you know, impacting broader business processes. So taking that top down approach versus kind of bottom up, you know, doing ta you know, the ones you choose the tasks is not as impactful as looking at broader across the entire business process and seeing how we can impact >>It. Now, Derek, when you guys support a citizen developer, how does that work? So, hey, I got this task I want to automate, I'm gonna go write a, you know, software robot. I'm gonna go do an automation. Do I just do it and then throw her to the defense? You guys, you guys send me a video on how to do it. Hold my hand. How's that work? >>Yeah, I mean, good question. So, so we obviously direct them to the UI path Academy, get some training. We also have some internal training materials to how to build a bot sort of internal inside Merck. We, we go through, we have writeups and SOPs on using the right framework for automations, using the right documentation, PDD kind of materials, and then ultimately how do we deploy bot inside the MER ecosystem. But I, I, maybe I'll just add, I think you asked the point about ROI before. Yeah. I'll also say because we're, we're a pharmaceutical company. I think one of the other key metrics is actually time saved, right? So if, if, if we have a bot that helps us get through the clinical process or even the getting a, a label approved faster, even if it's eight days saved, that's eight days of a product that can get out to the market faster to, to our patients and, and healthcare professionals. And that's, that, that's immeasurable benefit. >>Yeah, I bet if you compress that ELAP time of, of getting approval and so forth. All right guys, we've gotta go. Thanks so much. Congratulations on all the success and appreciate you sharing your story. Thank >>You so much. Appreciate it. You're welcome. >>Appreciate it. All right. Thank you for watching this Dave Ante for Dave Nicholson, The cubes coverage, two day coverage. We're here in day one, UI path forward, five. We'll be right back right after the short break. Awesome. >>Great.

Published Date : Sep 29 2022

SUMMARY :

Brought to you by by the way, for, you know, all you guys do, and thank you Dave for having in the, in the, Good to see you. Take us through Derek, what's happening in sort of your world that's Obviously we worked, you know, continue to drive our products through a difficult It's not computer graphics imaging. So we have a lot of different, you know, So you guys are automation pros, implementation partners, right? Of course, you know, we were looking in technology evaluating different companies, It's, that sounds like when you say center, So there's an animal health, we have an animal health function. you know, looking for those use cases that, that, you know, fit the mold for, you know, the, their system of record. that coincide Derek, with what you guys are doing? So we're, we're soon of doing all on demand, you know, start up a server, run the bot when So you, but you're doing that OnPrem, so you We, So we only play for that one hour usage of that bot machine. You pull the Gartner Magic quadrant, blah, blah, you know, with the way people, Well, I think you hit it right on the nail. So looking at UI path, you know, that this platform is, it But then you reach out to But we use, you know, so inside the vpn, you know, But is there a financial angle to that in terms of when you're spinning these things up, have to buy and procure and, you know, staff and support and maintain. And then they spin down. It. Got it. How, how are you thinking about that? the resources to help them build smaller scale automations that help, you know, How do you measure the benefit, the ROI and, and Quantify that we, you know, I, I don't, I don't profess I don't think we have all the right answers, you know, maybe lower the denominator, you know, or you can optimize for, depending on the industry, so in in life sciences it may be around, you know, you know, software robot. But I, I, maybe I'll just add, I think you asked the point about ROI before. Congratulations on all the success and appreciate you sharing your story. You so much. Thank you for watching this Dave Ante for Dave Nicholson, The cubes coverage,

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