Podcasts about Automation Anywhere

These episodes of #thePOZcast, live from Transform 2026 in Las Vegas, are proudly brought to you by our friends at Overalls What if your employees had one central hub to handle real life? Meet Overalls. A smarter way to support your team, combining expert human LifeConcierges™ with AI to solve everyday challenges across healthcare, caregiving, benefits, insurance, finances, life admin, and more. From start to finish, Overalls handles the details — using existing benefits where they fit, and filling in the gaps where they don't. So employees save time, reduce stress, and stay focused at work, while employers boost engagement and get more value from their benefits. Overalls is redefining how work supports life, helping employee teams from Reddit, Patreon, BeatBox, and more cross pesky to-dos off their lists every day. Learn more at https://getoveralls.com/?utm_source=podcast&utm_medium=podcast&utm_campaign=pozcast Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com About:  Nancy Hauge , Chief People Experience Officer  Nancy oversees all "people" functions worldwide at Automation Anywhere, including talent acquisition, communication, total rewards, learning and development, engagement, DEI, and Social Impact. She brings more than 30 years of experience in senior leadership and management consulting roles. Prior to joining Automation Anywhere, she was the chief people officer at HotChalk, where she was responsible for all people functions, legal, and facilities. Before that, Nancy served as the SVP of global human resources and facilities at Silicon Image through its 2015 acquisition, and as SVP of human resources for K12 Inc. (STRIDE) through its 2007 IPO. She also has executive experience at Ruckus Network, Noah's New York Bagels, Gymboree Corporation and Sun Microsystems.  She was recognized by HRO Today as CHRO of the Year 2023, for Innovation.  Additional recognition includes being named by HR Leadership as one of the Top 100 HR Tech Influencers for 2021, by HRO Today as a Leader of Distinction in North America in 2019. She is also a recipient of the "Stevie Awards" for women in high tech and was named by the Silicon Valley Business Journal as one of the "100 Women of Influence" in Silicon Valley both in 2015. Nancy has served on the Board of Regents for Holy Names College and the Board of Advisors to The Cameron School of Business at The University of North Carolina, Wilmington.  What you didn't know: Nancy started her career in comedy. Writing and performing. Of course, Nancy admits that she is lucky she wasn't very good at that or she would not be here today. Key Takeaways: 1. People Are the Most Unpredictable — and That's the Point Nancy's reason for still loving HR after 45 years: no two days are ever the same, because people will always surprise you. That unpredictability isn't a bug in the people function — it's what makes it the most creative, human-centered role in any organization. 2. AI Agents Should Do the Work Humans Shouldn't Have to Do The real promise of AI in HR isn't efficiency for its own sake — it's freeing humans to do what humans are actually best at. Reviewing resumes, scheduling interviews, and answering repetitive benefit questions should be automated. Creativity, judgment, and connection should not. 3. The Referral Agent Changes How Jobs Get Designed Automation Anywhere's referral agent is a glimpse at the future of workforce planning: as a new job description is written, AI maps it to existing tools in the catalog and recommends what else needs to be built. Jobs are no longer just roles — they're a design challenge. 4. The Future of Benefits Is Bespoke, Not Bulk Volume-purchased, one-size-fits-many benefits packages are a legacy model. Millennials and Gen Z expect benefits that match their actual life — their family structure, their life stage, their specific needs. Companies that don't move toward personalization will lose the talent war to those that do. 5. Benefits Are How You Reach Into the Family Nancy's reframe: benefits aren't just a compensation component — they're the one place a company can make an employee's family a partner in retention. When a company helps with a night nurse, fertility support, or postpartum care, the family notices. And families influence career decisions. 6. The Night Nurse Benefit Generated the Most Emotional Response of Nancy's Career Of all the benefits Nancy has implemented across 45 years, a night nurse support service for new parents produced the most extraordinary emotional response she has ever received from employees. It's a reminder that the highest-impact benefits often aren't the most expensive — they're the most human. 7. AI Agents Can Surface Benefits at the Exact Moment They're Needed The awareness and adoption problem in benefits is real: employees don't think about benefits until they need them. AI agents that detect life changes — a new dependent added to insurance, a leave request filed — and proactively surface relevant benefits solve this problem at scale, without requiring HR to monitor or manage it manually. 8. People Share More With Agents Than With HR — and That's a Feature Employees are more willing to disclose sensitive, personal information to an AI agent than to a human HR representative, because there's no fear of judgment or career consequences. That confidentiality drives benefit utilization and gives companies a more accurate picture of what employees actually need. 9. Great Alumni Are Part of the Benefits ROI Nancy's two-vector framework for benefits ROI — retention and human wellness — includes something most people skip: the alumni experience. The goal isn't just to keep employees as long as possible. It's to make them feel so well-cared-for that when they leave, they become ambassadors. That has real, lasting value. CHAPTERS: 00:00 – Introduction: Adam welcomes Nancy Hauge — whose favorite color is puce — and sets up a conversation with one of the most experienced people leaders in the series. 02:00 – Meet Nancy & Automation Anywhere Nancy introduces herself as Chief People Experience Officer and describes Automation Anywhere's AI agent platform — built to help enterprises manage agentic solutions across their entire tech stack. 04:00 – Why 45 Years in HR Never Gets Old Nancy's answer to what keeps her energized after four-plus decades: people are the least predictable thing in the world, which makes HR the most creative function in any business. 06:30 – The Greatest Innovation in HR Tech Nancy's take on the biggest recent leap: AI agents that remove human bias from processes, hand repetitive work back to machines, and free people to do what they're actually best at — creativity and problem solving. 09:00 – The Referral Agent: AI Redesigning Job Descriptions A specific innovation at Automation Anywhere: an AI agent that, as a job description is written, maps it to existing agents in the catalog and recommends new ones to build — fundamentally changing how work gets designed. 12:00 – The Future of Benefits Is Bespoke Nancy's bold prediction: one-size-fits-many benefits are on the way out. The next generation of workers — Millennials and Gen Z — expect à la carte, concierge-level solutions tailored to their life and their family, not volume-purchased packages. 15:00 – Benefits Reach Into the Family A reframe that changes how you think about total rewards: benefits are the one place a company can reach into an employee's family and make them partners in retention. That's a responsibility — and an opportunity. 17:30 – The Night Nurse Benefit The benefit that generated the most emotional response Nancy has ever seen in her career — a post-birth night nurse support service — and why the reaction from employees was extraordinary. 21:00 – AI Agents Driving Benefits Awareness How Automation Anywhere uses AI agents to proactively surface the right benefits at the right moment — detecting life changes like a new baby on insurance and prompting employees with relevant support before they even think to ask. 24:00 – Confidentiality & the Trust Factor Why employees are more likely to share vulnerable, personal information with an AI agent than with HR — no judgment, no performance review implications, no office gossip. And why does that drive benefit utilization? 26:30 – Justifying Benefits ROI on Two Vectors Nancy's framework: retention is one vector, human wellness and happiness is the other. And the goal isn't just keeping people — it's creating great alumni who leave saying the company genuinely cared about them. 29:00 – The 5-Year Century Nancy previews her upcoming book, co-authored with Automation Anywhere's CEO, publishing May 19th via Wiley — about how rapidly everything is changing and how AI agents are going to help humanity tackle its biggest challenges.

Benjamin Yerushalmi, senior vice president of partners and alliances at OutSystems OutSystems launched its redesigned Elevate partner program in late February – a ground-up rethink that moves away from volume-based incentives toward a point-based earned level model weighted toward AI credentials and delivery outcomes. To walk through what changed and why, I spoke with Benjamin Yerushalmi, OutSystems’ senior vice president of partners and alliances and a three-time CRN Channel Chief, who came to OutSystems from Automation Anywhere and before that spent seven years at Salesforce building global alliance teams. That arc across three major technology waves gives him an interesting vantage point on what actually gets partners to invest – and how the pitch changes when you’re not working for a juggernaut. The most substantive part of the conversation is about where the services work is moving. Ben describes a clear shift toward front-end advisory – design, architecture, change management, understanding how AI agents will function alongside people – and away from pure back-end implementation. Partners are also doing more objection handling earlier in the cycle, including making the case against what Ben calls “vibe coding tools.” His line: you’re using a vibe coding tool, you’re gonna get vibe code. We also got into the Elevate mechanics: the Elite Delivery Partner credential (earned per individual, not per organization, which changes the calculus for smaller shops), how OutSystems is weighting points toward Agent Workbench and ODC to drive partner behavior toward newer AI products, and Ben’s framing of the competitive landscape as convergence and coexistence rather than zero-sum competition with Microsoft, ServiceNow, and Salesforce. OutSystems is an enterprise play, and not every shop in our audience is landing these deals. But the conversation about where partner economics are heading in the agentic AI era applies well beyond any single vendor’s program. Read Full Transcript Robert Dutt: Hello and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to the Canadian IT channel community for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and your host for the show. My guest today is Benjamin Yerushalmi, senior vice president of partners and alliances at OutSystems, the enterprise low-code and AI development platform. Ben is a three-time CRN channel chief who spent the last decade-plus building partner ecosystems at Salesforce, Automation Anywhere, and now OutSystems – three companies that each represent a different wave of technology transformation, from cloud CRM to intelligent automation to what’s now being called the agentic AI era. OutSystems recently launched Elevate, a ground-up redesign of its partner program that shifts the incentive model away from volume and toward outcomes, customer satisfaction, and AI credentials. Now, OutSystems may not be a name that’s top of mind for a lot of solution providers in our audience, but the conversation we had touches on questions that are very much in play for every partner right now. What does an agentic AI engagement actually look like from a services standpoint? How is the work shifting from implementation to advisory? And what do you do when a customer asks why they shouldn’t just use a vibe coding tool instead? Let’s get right into it. My chat with Ben Yerushalmi. Robert Dutt: Ben, thanks for taking the time. I appreciate it. Ben Yerushalmi: Thank you for having me. Robert Dutt: The last time we spoke, you were at Automation Anywhere – it was their event in Austin a couple years ago. Before that, you were with Salesforce, now OutSystems. Three very different platforms, but in all of them you’ve been building or revamping a partner ecosystem around a technology wave. What’s the thread that connects those experiences for you? What have you learned about what actually works when you’re asking partners to bet on something, especially when it’s early innings of that particular wave? Ben Yerushalmi: Great question. It’s interesting, because three very different experiences. When you’re with a company like Salesforce, Salesforce is a juggernaut in a lot of respects. There are a lot of partners who are very invested in your success. They’ve got big business units, big practices, and there’s a clear ROI. Salesforce is creating a lot of demand in the market. When you’re with a mid-sized software company like Automation Anywhere or OutSystems, the challenge is still the same – you have to present them with a reasonable business case for investing in your technology and then going to market with you. Because you don’t have a shiny blue cloud on your business card, I think it’s a much bigger challenge. You have to do things like build a partner program that’s designed for growth, build a partner program with clear benefits to the partners about how they’re going to lean in, why they’re going to lean in, how they’re going to engage with your brand. It is a slightly different challenge – or a vastly different challenge. And when you’re with the smaller companies, the need to move fast is so urgent, especially where we are right now in this market with AI impacting everything we do. Messaging is changing, the go-to-market models are changing, the expectations of our customers are changing. Building a program that can be flexible, fast-moving, and built for growth is just super critical. Robert Dutt: OutSystems has been around for 25 years now, but Elevate feels like a pretty significant rethink of how you engage partners. I suspect your previous answer may have covered some of the territory, but what was broken – or not working well enough – about the old model that made you say, “All right, fresh sheet of paper, let’s do something new here”? Ben Yerushalmi: Look, nothing was broken. We had a functioning partner program that evolved over time, and none of the iterations it evolved through looked like the market we’re in today. We really needed to take a step back and strategically look at the program, think about what needed to be built in that could move at the pace of the market and give the ecosystem the things it was going to need to grow. For example, if you look at the old program – big emphasis on new logos, big emphasis on partners that had the implementation skills. Both super important, but only a fraction of how our partner ecosystem adds value to our brand, to our customers, and in the things they do to drive outcomes. We really had to reposition the program. First, pivot everything toward AI – everything from how we measure financial impact, to how we reward training and enablement, to how we measure CSAT and outcomes. Everything had to shift to AI. We also had to acknowledge all of the different ways that partners add value. Not just sourcing new logos, but co-sell, resell, managed service, MSP, ISV – and not just new logo acquisition, but growth in our existing accounts. Partners source business in our existing accounts. Partners are the best set of people to go in – especially when they apply their AI expertise, their industry expertise – and really grow our footprint at those accounts and truly drive outcomes and value for our customers. We had to acknowledge that. We also had to think about what we could build into the program to incent our ecosystem to be thinking about industries, to be thinking about agentic solutions, and to drive that behavior. Robert Dutt: One of the things that jumps out about Elevate is the shift toward earned levels based on outcomes and customer sat rather than just volume. That’s a trend we’re seeing across the industry. But it does raise the question: does that model inherently favor larger partners who can invest in multiple certifications and have that CSAT infrastructure, or is there a path for smaller partners as well? Ben Yerushalmi: There is. We have a number of examples of smaller-scale partners that have achieved some of the higher levels in the program. We also have examples of smaller partners who are on path to achieve Elite Delivery Partner status – because it’s not one credential per person. One person can have multiple credentials across the different disciplines. It doesn’t necessarily favor large partners. Now, when we launch Global Strategic – which would be a tier sitting above Platinum – that may, just because of sheer scale, favor larger partners. That said, our company is going to run on the strength of our Silver partners, our Gold partners. It truly takes partners across all of those levels to build a healthy go-to-market. I’m not terribly concerned about where smaller partners are going to find their place in the program. The other thing – and I’ve gotten a lot of questions about this – the Premier level in the old program basically maps to Gold in the new program. Platinum is effectively the level above that for partners to strive for. Robert Dutt: You’ve weighted agentic AI credentials pretty heavily in the point system, for obvious reasons. How are you credentialing something that’s that new and that quickly evolving? What does an agentic AI competency look like for a partner today versus what you expect it to look like a year from now? Ben Yerushalmi: You tell me what the market’s going to look like a year from now. What we’re doing right now is putting emphasis on our AI-built components. For example, Agent Workbench is going to carry a higher number of points in the program than O11. ODC is going to have a higher number of points than O11. As we continue to release additional AI-built products, we’ll continue that over-weighting. It’s simple – it’s trying to encourage a behavior. Staying at pace with the market is a massive challenge. One of the things we need to make sure is that as fast as we’re moving, as fast as our messaging evolves to meet the demands of the market, our partners have to come along with us. Partner enablement is one of the most important things we’re going to do this year – around messaging, around hands-on product enablement on all of the innovation we’re bringing to market. Because we want to encourage partners to go out and get those credentials, we’re putting the weighting in the program. It’s also a faster path to up-leveling within the program. Retooling all of your practitioners is something we need all of our partners to do – it’s a big undertaking. Robert Dutt: Everyone in the industry is talking about agentic AI. You touched on the role of Agent Workbench and how it’s a core piece for you. Curious what you’re hearing from a partner economics standpoint – when a partner takes on an agentic AI engagement, what does that actually look like? Is it a dev project, a consulting engagement, something that becomes a managed service? What are you seeing as the motion for partners today? Ben Yerushalmi: That’s a great question. We’ve historically had – maybe a small army, but a really great ecosystem of – partners with strong technical skills that did a really great job of implementing. We were a leader in the low-code space, implementing rapid application development and doing great things for our customers. We had a lot of folks that were really strong on the back end of a project, on the implementation side. What we’re seeing now with agentic is that there’s a lot more work for partners on the front end – on the design, on the architecture, on thinking through the downstream change management implications, the way agents are going to have to work within the current corporate and IT environment. Just to use the most common example: if you’ve got an agent working alongside humans with humans in the loop, that impacts how an organization functions. You need to be thinking through those things on the early side of these engagements. So we’re seeing a shift to more work on the front end, because you’re not just thinking about how do I architect the solution and how do I build it – you’re thinking about all of the downstream impact on how an organization functions. We’re also seeing a lot more experimentation. What can these tools do? What can these agents really do? Our partners are being asked what the best technology is. Our partners are being asked to evaluate us alongside other technologies. We’re seeing competition from all directions, and our partners really need to understand how to sell the value of our platform and handle a lot of the objection handling earlier in the cycle. Why can’t I just use a vibe coding tool, for example, versus Mentor or Agent Workbench? We always go back to the platform messaging – if you’re using a vibe coding tool, you’re going to get vibe code. At the end of the day, you still need a platform that takes care of governance, security, privacy, compliance. But our partners are being asked all those questions up front. There’s a lot more advisory that now goes into any level of engagement. Robert Dutt: Along the same lines but with a slightly different take – where are you seeing partners actually generating revenue with agentic AI today, versus where is it still more of “we see the opportunity, we’re investing, and expect the payoff in a year or so”? Ben Yerushalmi: Look, I think the end state for a lot of this is envisioning multi-agent systems operating within our customers’ technology and corporate environment. We are starting to see that emerge, and we’re starting to see our partners build multi-agent workflows – not just one-offs. These are starting to look like repeatable solutions, which is really great. Think about areas like claims processing – that’s one where you see a lot of examples. You’re starting to see people build claims assessment agents, claims orchestration agents, claims adjudication, and these are repeatable solutions. You’re also starting to see a lot of things, especially on consumer-facing apps, where digital agents are handling a lot of the customer interface. Those are things that are repeatable and can be used across industries. You’re starting to see really interesting things with voice-enabled agents. I listened to a demo just today where it was every bit as good as talking to a human – a natural language conversation, all built on the core components of OutSystems, and it can be used across industries. You’re also starting to see complex industry use cases. As we go to market in finance, in manufacturing, in public sector, we’re seeing our partners bring repeatable solutions for a joint go-to-market. In addition to the things we’re building, we’re starting to see our partners lean into those industries, bring those repeatable solutions, and color outside the areas where we’re investing so we can cover off other industries. We’re also launching a program within Elevate that contains the framework for industry-focused go-to-market programs. Robert Dutt: A bit earlier, you mentioned there is a space and a motion for the smaller deep-dive specialist kind of partner to succeed with you. Given that a lot of our audience – especially here in Canada – is smaller solution providers, MSPs, VARs, people who live in the Microsoft ecosystem and serve the mid-market, can you elaborate on what makes for a successful partner for OutSystems in that space? What are the common threads you see, and what do those partners typically get out of it? Ben Yerushalmi: One of the things we’re seeing is partners investing in getting the Elite Delivery Partner status. Before, we just had Delivery Partner – a fairly low threshold. Now we have the Elite Delivery Partner threshold, which is an indication to our customers that our partners, big and small, know our platform every bit as well as our professional services team. Reaching EDP is something that can be done by large and small partners alike, and that’s where we’re going to tend to recommend partners who have achieved those higher levels. Those are the partners that will likely get subcontracting work from us – that becomes super important. It also doesn’t take a large partner to invest in an industry solution. You need to be thinking about the demands of the market you want to serve and where you want to make those investments. It doesn’t take a large partner to offer a managed service. Those are all things that drive faster time to market and faster time to value for our customers. Having a niche in a market where you can sell is also important, because financial impact is a big component of how you level up in the program. We have small to mid-sized partners that have achieved the top tier. You need to be thinking about the buckets of contribution – co-sell, resell, anything adding financial impact, new logos, credentials, CSAT, program track. All of those buckets contain a lot of different areas to earn points for partners that don’t have a giant GSI logo. It was really designed for partners of all sizes. Silver, Gold, even Bronze partners are adding a ton of value to our customers. Our sellers recognize who they need to align with in a given market. We’re also putting tools in the hands of our PAMs and sellers so they can understand the capability, capacity, and competency of every partner in our ecosystem – who knows how to sell our platform, who has flawless delivery, who has expertise in a given industry or geo or domain – so that we can really arm our sellers with the information they need to align with the right partner. Robert Dutt: For a partner who’s living in that Microsoft-centric world and has started delivering Power Platform to their customers, what’s the conversation? Is there a both/and at different tiers of the market, or do you see OutSystems occupying a fundamentally different space? Ben Yerushalmi: Great question. Look, just about everywhere I’ve worked, I’ve competed with Microsoft – I’ve never worked for Microsoft. They’re a great company. Here, as at Automation Anywhere, the question of how we compete with Microsoft has come up. I think at the end of the day, it’s going to be co-opetition in a lot of ways, because there is room for coexistence at a lot of our customers. If you step back and look at the competition – from vibe coding tools to a lot of the traditional players – I think where we all converge is around agentic. The Gartner BOAT quadrant – Business Orchestration and Automation Technology – came out about nine months ago. It has the automation players, the low-code players, some of the big ISVs like Salesforce, ServiceNow, and Microsoft, and the process orchestration players like Pega and Appian – and where we all converge is around agentic. I need to be able to compete and win against each one of those players and understand exactly how I’m going to do that. But I also have to understand that in any enterprise architecture, we’re going to need to coexist. We have partnerships with a number of the companies we compete with in that quadrant. I always want to win when we’re going toe to toe, but the right solution for a customer may have one, two, or more of those players in a given solution. There are some great companies in that mix, and we’re going to need to work alongside them. Robert Dutt: You’ve now built partner programs across cloud CRM, RPA, and low-code/agentic AI – three waves of technology. If you had to tell a solution provider today where to place their bets for the next three to five years in terms of building a practice and generating new service revenue – not necessarily OutSystems-specific, but across the industry – what would you tell them? Ben Yerushalmi: Flexibility has to be inherent in everything people do. The ability to move at speed and adapt has to be critical. Every company is under pressure to do something with AI – not I think, I know. So people who are investing need to be thinking about skating to where the puck is going. I woke up too early this morning and was reading the news, and there was a fully AI-enabled humanoid robot at the White House. You see stuff like that and you think, where is all of this headed? But you know there is a world of changing work patterns, a world where AI touches every aspect of everybody’s job. You’ve got to think about the technologies that are going to help companies get to that clearly agentic future. And at OutSystems, we obviously believe we are well positioned to tackle that challenge. But you also have to think about this: it’s not just having those hands-on keyboard skills anymore. Customers want people who can take them on that journey. They want partners who can help them think about what are the high-value use cases, how are we going to architect that into our existing enterprise architecture, how are we going to build the applications – and then also manage all of the downstream implications and continue to evolve what we’ve built. Because if you look at a lot of the technologies out there today, they’re cool, they’re exciting, but the second you roll them out, you’re creating technical debt. You need to be making bets in platforms that are going to evolve with the market. Robert Dutt: Last question. A year from now, what does success look like for Elevate? What’s the number or the outcome that tells you this worked? Ben Yerushalmi: What we rolled out in February was half of the vision. There’s still a lot coming. Working through the roadmap of additional elements to Elevate is going to be really important – everything from how we leverage MDF and rethink that model, to how we rebuild our resell model to promote growth in the market, to continuing to stay ahead of the enablement challenge. But if I step back – when I originally talked about Elevate, it was about building a program built for growth. As we continue to be a partner-first organization, success looks like seeing partners successful in the program, being able to level up to wherever they want to be contributing, having partners invest in solutions that drive faster time to value for our customers and really help them move into this agentic future, and having our partners clearly driving successful outcomes with AI and agentic for our customers. At the end of the day, it’s not about Elevate partner program success. It’s really about OutSystems, and OutSystems customer and partner success, that matters. If we can sit quietly in the background and see our partners successful, see us continue to grow, and see our customers realize amazing agentic outcomes on our platform – that’s success. And then I can just sort of ride off into the sunset. Robert Dutt: Sounds like a plan – although it sounds like you’ve already got phase two well in mind, so I don’t think you’re riding off any time soon. Ben, thank you for taking the time. I appreciate it. Ben Yerushalmi: Thank you. Robert Dutt: There you have it, Ben Yerushalmi from OutSystems. I’d like to thank Ben for his time – and I thought it was a pretty candid look at how a vendor thinks about structuring a partner program in a market that’s moving as fast as this one. And I want to thank you for listening, as always. A few things that stood out for me from this conversation. First, the shift Ben described from partners doing mostly back-end implementation work to doing a lot more on the front end – design, architecture, change management, helping customers think through how AI agents are actually going to work alongside their people. That’s not unique to OutSystems. If you’re a solution provider building any kind of AI-adjacent practice right now, that front-end advisory is where the value is moving, and it’s a different set of muscles than a lot of partners have built over the years. Second, his point about the Elite Delivery Partner credential being something an individual can earn – not something that requires organizational scale – was worth paying attention to. As the industry moves toward outcome-based partner programs – and it is, across the board – understanding which programs are genuinely accessible to smaller firms and which just say they are is going to be a real differentiator in where you invest your time. And third, the convergence point. Ben talked about the Gartner BOAT category putting low-code vendors, automation vendors, process orchestration players, and the big ISVs like Microsoft, Salesforce, and ServiceNow all in the same quadrant. His argument is that agentic AI is the thread that ties them all together. Whether that’s true or just convenient framing, it’s worth thinking about – because wherever you sit in the channel, you’re going to be navigating that convergence whether you planned on it or not. If you’re enjoying the ChannelBuzz.ca podcast, you can find us on Apple Podcasts, Spotify, YouTube, and most podcast directories. Ratings and reviews are always appreciated – they do help people find the show. Until next time, I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

Adi Kuruganti, Chief AI and Development Officer at Automation Anywhere, joins Amir to break down what it actually takes to build agents for the enterprise, not in theory, but in environments where complexity, governance, observability, and real business outcomes matter. This conversation gets into the part of enterprise AI that most people skip. Not just what agents can do, but what changes when you have to deploy them across regulated systems, measure performance in production, manage model drift, and rethink how product and engineering teams ship software. It is a smart look at where enterprise AI is going, and what technical leaders need to understand before the market catches up. What stood out• Enterprise agents are only as strong as their data, context, and deployment model. In large companies, that means dealing with hybrid environments, air gapped systems, privacy controls, and process level context, not just model quality. • AI is changing more than coding. Adi explains how his team is using AI across the full software development lifecycle, from spec creation and test generation to production event triage and release workflows. • The release process is shifting from periodic launches to continuous iteration. That puts more pressure on observability, because teams now have to track model behavior, latency, and runtime performance as features roll out. • Security can no longer sit off to the side. Prompt injection, shared tenant risk, and post production anomaly detection all require security teams to work much closer to AI and product teams. • Mass adoption is not just a technology problem. The tools are improving fast, but enterprises still need change management, clear use cases, internal operating models, and people who know how to make AI part of daily work. Timestamped Highlights00:00 Adi Kuruganti joins the show to unpack what enterprise agent development really looks like today, from deployment models to governance to observability. 02:07 Why enterprise agents are different. Adi explains why context, data control, and environment complexity matter more in large organizations. 04:57 How AI is reshaping the software development lifecycle. From code suggestions to automated tests to incident triage, AI is moving deeper into product delivery. 10:13 The old handoff model is breaking. Product, design, and engineering are starting to work in a much more fluid, AI assisted way. 12:22 What changes in release management when AI writes part of the code and teams ship continuously instead of waiting for big release cycles. 18:17 How enterprises should judge agent performance, from human review and exception handling to evals, runtime benchmarks, and model drift. 27:21 Adi on the real AI adoption curve, job disruption, and why the bigger shift is not replacement, but making AI part of how people actually work every day. A line worth sitting with“AI should be a core element of how they work.” Worth applying• If you are building with AI, evaluate more than accuracy. Cost, latency, and consistency matter too. • If you are leading teams, do not treat observability as a nice to have. Runtime visibility is part of the product now. • If you are thinking about adoption, start with a real business problem and scale from early wins instead of trying to automate everything at once. Follow the show for more conversations with the builders, operators, and technology leaders shaping how modern companies are actually being built.

Most enterprises are excited about agentic AI. But very few are actually deploying it in production. In this episode of Eye on AI, Craig Smith sits down with Adi Kuruganti, Chief AI and Development Officer at Automation Anywhere, to break down why agentic AI is so hard to get right in the enterprise and what it actually takes to move from a promising pilot to a mission-critical deployment. Adi explains why the future of enterprise automation is not agentic AI alone, but the combination of deterministic and agentic systems working together, and why companies that treat AI as a technology problem instead of a business outcomes problem are setting themselves up to fail. They dig into how Automation Anywhere is orchestrating agents across legacy systems, healthcare platforms, and financial services workflows, why governance and compliance are the first questions every enterprise asks, and how their Process Reasoning Engine is continuously improving agent performance using metadata from over 400 million running processes. The conversation also covers the real timeline to a fully autonomous enterprise, why the POC to production gap is the biggest failure point in enterprise AI today, and what companies that wait too long risk losing to competitors who started the journey earlier. If you want to understand where enterprise AI actually stands today and what it takes to deploy it responsibly at scale, this episode gives you a clear and grounded perspective. Subscribe for more conversations with the people building the future of AI and emerging technology.     Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) Why Enterprises Are Struggling With Agentic AI (02:39) What Automation Anywhere Does and the APA Category Explained (08:01) Deterministic vs Agentic AI: Why You Need Both (10:59) How Human in the Loop Works in Enterprise AI (17:16) The Mozart Orchestrator and Process Reasoning Engine (23:50) How AI Is Upgrading and Replacing Classic RPA (27:31) How Automation Anywhere Works With Enterprise Customers (31:53) The Biggest Challenges of Scaling Agentic AI (41:10) The OpenAI Partnership and What It Means (47:06) Training Staff and Building AI Literacy at Scale (51:39) Staying Close to Customers as the Technology Shifts (53:17) Is the Autonomous Enterprise Actually Coming

In this episode, I sit down with Doug Bell — Fractional CMO, former leader at Automation Anywhere, LeanData, and Searchmetrics, top‑40 Substack writer, and co-host of Cannonball GTM — to unpack why modern go‑to‑market playbooks are breaking… and what the next generation of GTM looks like in an AI‑driven world.We go deep into the new patterns shaping high‑growth companies — and the uncomfortable truths most teams don't want to face.

AI Wins in Healthcare: Administrative Automation, Revenue Cycle, and the Future of Intelligent Care Healthcare administrative costs consume 25-30% of total spending, yet most AI investments focus on clinical applications rather than operational efficiency. Dr. Yan Chow of Automation Anywhere discusses proven AI use cases delivering measurable ROI today, from revenue cycle management and EOB processing to automated clinical documentation while exploring emerging conversational AI capabilities reshaping patient and provider interactions. As health systems face continued margin pressure, Chow examines where automation investments generate immediate returns versus longer-term strategic value. He addresses the “art of the possible” in administrative AI, implementation realities for enterprise deployments, and why the next wave of healthcare AI may be less about diagnosis and more about eliminating the administrative burden strangling clinical workflows. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

Send us a textInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:07 - Decagon's $250M Round Triples Valuation to $4.5B01:17 - xAI Gets $2B From Tesla After $20B Series E02:06 - Synthesia Raises $200M at $4B as ARR Targets Hit $200M03:25 - SpaceX Eyes June 2026 IPO With $50B Raise at $1.5T03:52 - SpaceX Starship V3 Heads for Mid-March04:27 - SpaceX Starlink Lands Gulf Air Deal as Fleet Rollout Begins Mid-Year05:19 - Richard Socher's Recursive Talks $4B Valuation and Big Compute Spend06:12 - Ricursive Hits $4B Valuation Two Months After Launch With $300M Series A07:04 - Automation Anywhere in Talks to Buy C3.AI and Go Public by Merger08:02 - Harvey Buys Hexus as $8B Secondary Valuation Holds Flat08:54 - Anduril Plans 5,500-Job Long Beach Buildout as Valuation Jumps 157%09:49 - Anthropic Brings Slack and Figma Into Claude as Valuation Tops $370B10:54 - Anthropic Wins GOV.UK Pilot to Build AI Assistant for Job Seekers11:48 - Anthropic Forecasts $18B Sales This Year, $55B Next, But Pushes Profit to 202813:02 - Moonshot's Kimi K2.5 Upgrades to Omni as Valuation Target Moves Toward $5B13:53 - OpenAI Preps for Q4 2026 IPO14:32 - OpenAI's $100B Raise Takes Shape With Amazon at $50B and SoftBank at $30B15:17 - OpenAI Launches Prism on GPT-5.2 as Science Usage Hits 8.4M Messages a Week16:28 - Tether Launches USAT With Anchorage as US Stablecoin Rules Tighten17:47 - Redwood Upsizes Series E to $425M as Google Joins and Valuation Clears $6B18:56 - US DOE Cuts Nuclear Rulebook by a Third as Startups Raise $1B+19:51 - Perplexity Signs $750M Microsoft Cloud Deal While Keeping AWS Preferred

Healthcare administrative costs consume 25-30% of total spending, yet most AI investments focus on clinical applications rather than operational efficiency. Dr. Yan Chow of Automation Anywhere discusses proven AI use cases delivering measurable ROI today, from revenue cycle management and EOB processing to automated clinical documentation while exploring emerging conversational AI capabilities reshaping patient and provider interactions. As health systems face continued margin pressure, Chow examines where automation investments generate immediate returns versus longer-term strategic value. He addresses the “art of the possible” in administrative AI, implementation realities for enterprise deployments, and why the next wave of healthcare AI may be less about diagnosis and more about eliminating the administrative burden strangling clinical workflows.Yan Chow, MD, MBAGlobal Healthcare Leader, Automation AnywhereMegan Antonelli, Chief Executive Officer, HealthIMPACT Live

The Globalization of Remote Viewing & IRVA: A Presidential Dialog with Luciano Arruda Luciano Arruda is the incoming President of the International Remote VIewing Association (IRVA). He’s the Director of Globalization Programs at Automation Anywhere managing global scalable programs and supporting growth initiatives in Asia Pacific, Japan, Latin America, Europe and the Middle East. He is fluent in Brazilian Portuguese, Latin American Spanish and English and is a citizen of Brazil, Italy, and the United States. Luciano has been leading IRVA’s International initiatives. The IRVA website is https://www.irva.org/ Luciano shares his journey from discovering remote viewing in 2022 to becoming a key figure in IRVA’s global expansion. Together, Luciano and Debra Katz discuss the intersection of clairvoyance and remote viewing, the challenges of maintaining historical integrity while embracing new applications, and the importance of international community engagement. Learn about the future of remote viewing and the initiatives IRVA is spearheading under Luciano’s leadership. 00:01:28 Introducing IRVA's new president 00:08:15 Clairvoyant reading versus remote viewing 00:12:57 The expansion of remote viewing internationally 00:26:10 Can we eventually offer free memberships, conferences & classes? 00:33:30 Online conferences versus the joy of in-person togetherness 00:40:10 Pro-military/government versus anti-military 00:52:39 Challenges to recruiting international leadership 01:09:07 The need for unified vision and long-term leadership Guest Host Debra Lynne Katz, PhD, is IRVA's outgoing president. She founded the International School of Clairvoyance and has trained students internationally in remote viewing, clairvoyance, and intuitive development for over two decades. She is the author You Are Psychic: The Art of Clairvoyant Reading and Healing, Extraordinary Psychic, The Complete Clairvoyant: A Trilogy, Freeing the Genie Within, and Associative Remote Viewing: The Art and Science of Predicting Outcomes (co-authored with Jon Knowles). She's a professional remote viewer, clairvoyant and energy healer. She teaches remote viewing at the California Institute for Human Sciences. (Recorded on December 21, 2025) For a short video on How to Get the Most From New Thinking Allowed, go to https://youtu.be/aVbfPFGxv9o For a complete, updated list with links to all of our videos, see https://newthinkingallowed.com/Listings.htm. Check out the New Thinking Allowed Foundation website at http://www.newthinkingallowed.org. There you will find our incredible, searchable database as well as opportunities to shop and to support our video productions – plus, this is where people can subscribe to our FREE, weekly Newsletter and can download a FREE .pdf copy of our quarterly magazine. To order high-quality, printed copies of our quarterly magazine: NTA-Magazine.MagCloud.com Check out New Thinking Allowed’s AI chatbot. You can create a free account at awakin.ai/open/jeffreymishlove. When you enter the space, you will see that our chatbot is one of several you can interact with. While it is still a work in progress, it has been trained on 1,600 NTA transcripts. It can provide intelligent answers about the contents of our interviews. It’s almost like having a conversation with Jeffrey Mishlove. His website is https://glennaparicioparry.com/ If you would like to join our team of volunteers, helping to promote the New Thinking Allowed YouTube channel on social media, editing and translating videos, creating short video trailers based on our interviews, helping to upgrade our website, or contributing in other ways (we may not even have thought of), please send an email to friends@newthinkingallowed.com. To join the NTA Psi Experience Community on Facebook, see https://www.facebook.com/groups/1953031791426543/ To download and listen to audio versions of the New Thinking Allowed videos, please visit our new podcast at https://itunes.apple.com/us/podcast/new-thinking-allowed-audio-podcast/id1435178031. Download and read Jeffrey Mishlove’s Grand Prize essay in the Bigelow Institute competition, Beyond the Brain: The Survival of Human Consciousness After Permanent Bodily Death, go to https://www.bigelowinstitute.org/docs/1st.pdf. To order a copy of New Thinking Allowed Dialogues: Is There Life After Death? click on https://amzn.to/3LzLA7Y (As an Amazon Associate we earn from qualifying purchases.) To order Russell Targ: Ninety Years of ESP, Remote Viewing, and Timeless Awareness, go to https://amzn.to/4aw2iyr To order a copy of New Thinking Allowed Dialogues: UFOs and UAP – Are We Really Alone?, go to https://amzn.to/3Y0VOVh To order Associative Remote Viewing by Debra Katz and Jon Knowles, click here: https://amzn.to/2XVk6mP. To order You Are Psychic by Debra Lynne Katz, go to https://amzn.to/4fxgnPD To order Extraordinary Psychic by Debra Lynne Katz, go to https://amzn.to/3AhHuOv To order Freeing the Genie within by Debra Lynne Katz, go to https://amzn.to/3LX0Ye0

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! Welcome to the first show of 2026, and it's a full house, too! Justin, Jonathan, Ryan,  and Matt are all here to reflect on 2025, plus bring you their predictions for 2026. Let's get started!  Titles we almost went with this week SQL Me Maybe: AlloyDB Gets Chatty With Your Database **OpenAI SELECT * FROM natural_language WHERE accuracy LIKE ‘100%’ **Anthropic etcd You Were Worried About Database Limits: CloudWatch Has Your Back CSV You Later: Looker Adds Drag-and-Drop Data Uploads AWS Spots an Opportunity to Manage Your Container Costs EKS Network Policies: No More IP Address Whack-a-Mole AWS Security Hub Splits: It’s Not You, It’s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean’s New Format Makes JSON Look Bloated The Price is Wrong: AWS Breaks Two Decades of Downward Pricing Tradition Show Your Work: Why AI-Generated Code Without Tests is Just Expensive Spam No More Agent Orange: Google Simplifies VM Extension Deployment AWS Discovers Prices Can Go Both Ways, Raises GPU Costs 15 Percent Sovereignty Washing: When Your European Cloud Still Answers to Uncle Sam Agent Builder Gets a Memory Upgrade: Google’s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard & Next-Gen Bets AI Agents, GPU Prices, and The best of the Cloud Pod 2025 Beyond the Hype: The Cloud Pods Definitive 2025 Year in Review Apocalypse Now… What? Our 2026 Forecast Follow Up  01:27 RYAN’S PREDICTIONS Prediction Status Notes Quick LLM models for individuals ACCURATE Meta-Llama-3.1-8B-Instruct, GLM-4-9B-0414, and Qwen2.5-VL-7B-Instruct—each chosen for an outstanding balance of performance and computational efficiency, making them ideal for edge AI deployment. A new AI inference application called Inferencer allows even modest Apple Mac computers to run the largest open-source LLMs. AI at the edge natively (Lambda-esque) ACCURATE Akamai launched a new Inference Cloud product for edge AI using Nvidia’s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. “Edge AI allows for instant decision-making where it matters most—close to the data source.” Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn’t find a breakthrough “app-to-app at the edge” security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW’S PREDICTIONS Prediction Status Notes FOCUS adopted by Snowflake or Databricks ACCURATE FOCUS version 1.2 was ratified on May 29, 2025. Three new providers announced support: Alibaba Cloud, Databricks, and Grafana. Databricks officially adopted FOCUS! AI security/ethical standard (SOC or ISO) ACCURATE ISO 42001 is the first international standard outlining requirements for AI governance. Major companies achieving certification in 2025: Automation Anywhere is among the first 100 companies worldwide to earn ISO/IEC 42001:2023 certification. Anthropic also achieved ISO 42001 certification. Amazon deprecates 5+ services (WorkMail bonus) ACCURATE (no bonus) 19 services are mothballed, four are being sunset, and one is end of its supported life. Deprecated services include CodeCommit, Cloud9, S3 Select, CloudSearch, SimpleDB, Forecast, Data Pipeline, QLDB, Snowball Edge, and more. WorkMail NOT deprecated – WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACC

ISV leaders from Automation Anywhere, DataVisor, and Sumo Logic share battle-tested strategies for deploying AI agents at scale, including pricing models, proof of concepts and ROI.Topics Include:Panel brings together ISV leaders from automation, fraud detection, and security operations.Companies rethinking entire business processes rather than automating incremental portions with agents.Start with immutable data before tackling real-time changing data in production.Intent for change must come from board, CEO, and customers simultaneously.Challenge: proving agent value beyond CSAT when internal teams block deployment.Sumo Logic measures Mean Time to Resolution, aiming to cut hours to zero.DataVisor cuts fraud alert resolution from one hour down to twenty minutes.Customers demand reliability as workflows shift from deterministic to probabilistic agent decisions.Automation Anywhere spent three years making every platform component fully agent-ready.Focus on business outcomes, not chasing every new model release each week.Human oversight still critical—agents are task-oriented and prone to hallucinations and drift.Humans validate agent findings, then let agents scale actions across hundreds instances.Pricing experiments range from platform-plus-consumption to outcome-based to decision-event models.Token pricing doesn't work due to varied data modalities and complexity.Next two quarters: more POCs moving to production with productive agents deployed.Future prediction: enterprise apps becoming systems of knowledge powered by MCP protocol.Participants:Jay Bala - Senior Vice President of Product, Automation AnywhereKedar Toraskar – VP Product Partnerships, DataVisorBill Peterson - Senior Director, Product Marketing, Sumo LogicJillian D'Arcy - ISV Senior Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Industry leaders from Automation Anywhere and AWS discuss how modern customer data collection has evolved, and practical strategies for implementing enterprise automation at scale.Topics Include:Automation Anywhere and AWS experts discuss modern enterprise automation strategiesTraditional profiting strategies may not work with today's changing business modelsCustomer data collection methods have evolved across multiple platforms significantlyModern verification processes include automated validation systems and streamlined timelinesBackground check automation is increasingly handled by AI-powered models and systemsStanford's "Wonder Bread" research paper introduced revolutionary enterprise process observation technologyWonder Bread demonstrated AI systems watching and automatically learning hospital workflowsThe technology can author workflows by observing real enterprise processesEnterprise Process Management built around observed behaviors shows promising resultsVerification challenges exist since Wonder Bread research isn't widely publicized yetProcess observation technology could transform how enterprises handle workflow creationSalesforce Wizard Interface dominates many current automation implementations in enterprisesSalesforce Agent Codes offer alternative approaches to traditional automation methodsAWS platform selection involves careful consideration of enterprise integration needsDemo implementations showcase real-world timeline expectations and deployment maturity levelsCurrent automation solutions have reached significant scale across various industriesWorkflow automation differs fundamentally from true agentic intelligence systems capabilitiesAgentic AI demonstrates autonomous decision-making beyond simple rule-based automation processesUnderstanding this distinction helps organizations choose appropriate technology approaches effectivelySession concludes with clarity on modern automation landscape and implementation strategiesParticipants:Pratyush Garikapati – Director of Products, Automation AnywhereSreenath Gotur – Snr Generative AI Specialist, Amazon Web ServicesFurther Links:Automation Anywhere websiteAutomation Anywhere – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Most every C-suite leader wants AI to help their people perform tedious tasks better. We still live in a world where we are stuck doing too many time-consuming, lower impact tasks - like organizing spreadsheets, manually processing forms and data entry, or swiveling information from app to app across your company's hundreds of applications. Ugh.Helping the corporate world get closer to a reality where humans are not mired in low-efficiency tasks is Mihir Shukla, Co-Founder and CEO of Automation Anywhere, an Agentic Process Automation (APA) pioneer delivering agentic solutions that leverage AI agents to get work done faster, better and more reliably.A Silicon Valley veteran, Mihir is a multi-decade pioneer of automation and has a vision to fully deliver an autonomous enterprise, where 80% of work is done through automation or AI-assistance. But what happens to our jobs? For Mihir, it's important to note that an autonomous enterprise doesn't eliminate human work - it redefines it. Employees transition from managing repetitive tasks to overseeing AI-driven systems and teams, with the ability to make strategic decisions, drive new business models and focus on delivering strategic impact. Sound good?With incredible market momentum, top-shelf partners and customers, top marks from analysts and a vision to fuel the future of work by unleashing human potential, they are at the forefront of empowering 400 million automations and AI agent ‘digital workers' to shape the enterprise of the future – today.

Para potenciar su plataforma Automation Co-Pilot, Automation Anywhere colabora con Amazon Web Services, incorporando la IA generativa de Amazon Q Business. Esta alianza permite a los usuarios empresariales puedan describir sus necesidades en lenguaje natural para obtener respuestas instantáneas de agentes de IA, avanzando hacia la empresa autónoma.

Today's guest is Itumeleng Masunyane, Senior Vice President of Internal Audit at Amicorp Group. Together, they examine the shifting landscape of compliance and internal audit as organizations adopt more advanced forms of AI, including agentic systems. The conversation begins by outlining why traditional, manual audit processes often struggle to keep pace with evolving regulations across multiple jurisdictions—leading to inconsistencies, burnout, and heightened risk. Itumeleng explains how AI-driven automation and predictive modeling can help teams reconcile regulatory requirements, detect anomalies in real-time, and generate more reliable audit trails. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship ‘AI in Business' podcast! This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

AWS partners Automation Anywhere, Qlik, and Vectra.ai discuss revolutionizing customer experience through generative AI, sharing real-world implementations in automation, analytics, and cybersecurity applications. Topics Include:AWS Technology Partnerships panel on agentic AI implementationThree AWS partners share real-world AI deployment experiencesAutomation Anywhere automates end-to-end business processes with agentsVectra.ai uses autonomous agents for cybersecurity threat detectionQlik applies generative AI across their data platform portfolioCustomer service automation handles L1 support requests efficientlyUtility company processes 144,000 complaints annually using agentsRegulatory compliance improved through faster complaint resolution workflowsCybersecurity agents reduce threat detection time by 50-60%Triage, correlation, and prioritization handled by autonomous agentsSignal fatigue reduced through intelligent alert filtering systemsNatural language queries enable faster business decision makingSales AI agent provides competitive information during callsAWS Marketplace reduced 7,000 weekly tickets to zero2023 was proof-of-concept year, 2024 focuses production deploymentAWS Bedrock integration seamless with existing data repositoriesModel optionality crucial for different use case requirementsAgility most important capability in generative AI journeyCode abandonment becomes acceptable due to rapid innovationMaximum team size of 10 people maintains development agilityTargeted solutions outperform broad platform capabilities in adoptionImplementation expertise becomes bottleneck for customer scaling effortsNatural language interaction patterns completely shifted user behaviorKeywords searches replaced by conversational query approachesResponsible AI committees review decisions and establish principlesSecurity considerations balance speed with responsible deployment practicesBad actors adopt generative AI faster than defendersExplainability requirements slow feature rollout but ensure auditabilityMulti-modal deployments use different models for specific casesFuture trends include AI-powered business process outsourcingParticipants:Peter White – SVP, Emerging Products, Automation AnywhereRyan Welsh – Field CTO - Generative AI, QlikJohn Skinner – Vice President Corporate/Business Development, Vectra.aiChris Grusz – Managing Director for Technology Partnerships, AWSFurther Links:Automation Anywhere in AWS MarketplaceQlik in AWS MarketplaceVectra.ai in AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of the ‘AI in Business' podcast, Nathaniel Bell, Data Management Director at Wells Fargo, returns to discuss the evolving role of AI in risk management, compliance, and enterprise automation in banking. Host and Emerj Editorial Director Matthew DeMello and Nathaniel explore how financial institutions can balance innovation with caution as deterministic, generative, and agentic AI technologies move from experimentation to production. He goes on to outline how simple automation and deterministic models are already creating meaningful efficiencies in audit workflows and compliance reporting—areas where rules-based logic remains dominant. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Akhil Khunger, VP of Quantitative Analytics at Barclays. Akhil joins us to explore how financial institutions are modernizing stress testing, risk modeling, and strategic planning through AI. Throughout the episode, Akhil discusses the evolving architecture of financial models — specifically how modular, decoupled processes can speed up regulatory compliance and empower faster decision-making. He outlines how AI-powered code generation and user-friendly APIs are enabling more targeted scenario analysis without compromising performance across large, complex portfolios. Later, we highlight how global teams are leveraging AI to reduce dependency on legacy tech stacks and streamline business planning across jurisdictions. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

In this episode, Mihir Shukla, CEO and Chairman of Automation Anywhere, shares what it takes to build an autonomous enterprise—where AI doesn't just assist work, but actually does it. With over 300 million AI agents already running on their platform, Mihir argues the future of work isn't ahead of us—it's unfolding now.We explore how Automation Anywhere is reimagining its own operations, automating everything from tax to customer service, and how other companies can do the same. Mihir shares a playbook for identifying high-impact automation opportunities and overcoming the cultural inertia that holds teams back.The conversation also zooms out: from the global productivity crisis and shrinking workforce to the ethical responsibility of upskilling at scale. Mihir shares powerful stories from communities that went from minimum wage to six-figure AI careers in just months—and reminds us what's at stake if we don't move fast.If you're rethinking how work gets done, this episode is a blueprint for what's possible.Key Takeaways:Don't Wait for the Future of Work—Build It - Mihir's team is already running 300 million AI agents across global enterprises. From automating 90% of tax operations to generating CEO-ready briefings on the fly, he shows how much of today's work can be autonomous—and how fast it's scaling.Stalled Productivity? AI Is the Only Way Through - Despite $40 trillion in global IT spend, productivity hasn't improved since 2008—and now the workforce is shrinking. Mihir argues that doubling productivity isn't a moonshot—it's an economic necessity, and AI is our best shot.Change Doesn't Come from the Top—It Starts with Teams - Transformation doesn't begin in the boardroom. Mihir shares how just 2 out of 10 employees experimenting with AI can ignite org-wide momentum—if they're given ambitious goals, proper training, and permission to lead.Upskill the World, One Community at a Time - From the Mississippi Delta to Nepal, Mihir's upskilling efforts prove that AI fluency doesn't require a degree—just access. With the right training, someone flipping burgers can land a $120K AI job in three months. Talent is everywhere. Opportunity isn't.LinkedIn: Mihir Shukla | LinkedInAutomation Anywhere: The Leading Agentic Process Automation System | Automation Anywhere00:00 Introduction to Mihir Shukla & Automation Anywhere01:20 Vision for Autonomous Enterprises03:03 Reimagining Work Processes04:17 Principles of Automation06:12 Challenges and Solutions in AI Adoption09:15 The Importance of AI in Modern Workplaces21:31 Studying and Rethinking Work26:55 The Challenge of Adapting to AI-Powered Workflows27:55 The Impact of AI on Task Management31:24 AI in Customer Service and HR Operations33:03 The Strategic Value of AI in Finance37:30 The Social Impact of AI and Upskilling Initiatives40:40 Final Thoughts and Takeaways 

In today's episode, Sandy chats with Yan Chow, an expert in AI, automation, and healthcare tech, and the global healthcare leader for Automation Anywhere. Healthcare is a target-rich environment that offers opportunities everywhere to make healthcare more sustainable and more valuable for the future. They chat about how AI is being applied to healthcare and how it can benefit both healthcare workers and patients alike. He also talks about how AI doesn't have to be so scary, but it is important to take AI adoption one step at a time. If you want to hear more about Automation Anywhere, check out their recordings at the ViVe Event website.In this episode, they talk about:An overview of Automation Anywhere and what they are doingThe main application of AI todayThere is a labor shortage in healthcare even though the demand is increasingWhat is agentic automation and how will it help people with healthcare?Automations are doing the job more effectively than we would be able to doCross borders and the difference in regulations and rulesIs AI making patient biases better or worse?Limiting data to avoid hallucinations and mistakesIt takes time to learn when and where to utilize AI A Little About Yan:Yan Chow, MD, MBA, is a leader in the AI, automation, and healthcare technology sectors. He joined Automation Anywhere in 2019 to launch its healthcare vertical, leveraging AI to automate routine tasks and enabling healthcare professionals to focus on patient care. Previously, Dr. Chow was Medical Director for Digital Medicine at Amgen, where he integrated digital technologies like wearable sensors and advanced analytics into clinical trials.Before Amgen, Dr. Chow served as Chief Innovation Officer at Longview Technology Solutions, providing healthcare consulting services to major U.S. government clients. He also led the Innovation & Advanced Technology Group at Kaiser Permanente, overseeing emerging clinical information technologies and managing a significant innovation grant program.In addition to his corporate roles, Dr. Chow has founded and advised several startups, including a venture-funded NLP analytics company with a successful exit. He holds three U.S. patents and was recognized as one of the top three healthcare innovators in the nation by Healthcare IT News in 2014. Dr. Chow earned his A.B. from Harvard, M.D. from UC San Diego and MBA from UC Berkeley.

Dan Foster is a Chief Operating/Revenue Officer, who built and transformed profitable businesses across technology and telecom start-ups as well as industry powerhouses. Companies turn to him to revive struggling businesses by redefining sales, marketing and customer service strategy, scaling infrastructure, and promoting product innovation. In this episode, Dan shares how bundled solutions increase value and close rates. He discusses AI's growing role in B2B sales and procurement. And stresses using data to understand customer needs and justify pricing.   Why you have to check out today's podcast: Learn how bundling products and services can enhance perceived value, increase close rates, and prevent price-sensitive buyers from deconstructing your offerings. Gain insights into how AI is transforming the sales landscape, from optimizing product recommendations to procurement teams using AI to negotiate better prices. Understand why pricing should be tied to the customer's business outcomes and how to communicate the true value of your solutions effectively.   "You take the data around a pricing example and you really understand the value from the end user's perspective, so you got to have that empathy back in to say what moves their business. And when we understand what moves their business with a few numbers, then you start to give the underpinning for why value pricing matters." - Dan Foster    Topics Covered: 02:01 - How his early consulting work made him think about value and led him to pricing 03:23 - Asking about typical reactions to pricing presentations 04:24 - Explaining that selling value starts with understanding product-market fit  07:03 - Highlighting the importance of teaching distribution partners how to sell value, using the Home Depot-SolarCity partnership as an example 10:43 - How can ROI calculators be convincing 14:07 - Explaining that while they don't track proven value directly due to lack of data, anecdotal feedback and supplier insights indicate improved close rates for partners 15:09 - How AI is reshaping product offerings, expanding technology advisors' roles, and influencing cost-cutting for innovation 19:10 - Highlighting that while AI may drive procurement efficiencies complex digital transformation solutions still rely on expertise 20:27 - How bundling simplifies purchasing and reinforce the value of an all-in-one solution 24:27 - Dan's best pricing advice   Key Takeaways: "If you want to buy a ton of storage and it's a commodity, we get that. That could go through the marketplace earlier than not. If you want a digital transformation, if you want to change your customer experience, if you want to make your business run faster, if you want business process automation and robotic process automation, that's not going through a dynamic pricing model on a marketplace near-term. Now, can I go out and look at, like, UiPath Licensing versus Automation Anywhere versus whoever Microsoft scooped up next and look at pricing models? The procurement folks are probably smart to do that." - Dan Foster "But the bundled solution specifically is, I think, fundamental because otherwise, when you offer them the menu-based pricing, oftentimes they don't see the full value." - Dan Foster "It [selling value] starts with that product-market fit. We do a lot of enablement of our partners or downstream almost like a two-tier distributor. And in doing that we provide the ability for them to see a higher close rate when they use tools and resources. It alleviates that conversation and it's inherent that there's value pricing there." - Dan Foster "It's critical to think through in a subscription-based model what that value is, because that customer acquisition cost versus the long-term value of a customer, it's a critical ratio to understand when you're thinking through pricing." - Dan Foster   People/Resources Mentioned: Cummins Engine Company: https://www.cumminsenginepart.com/ Unilever: https://www.unilever.com Alcoa: https://www.alcoa.com/global/en/home/ Amazon: https://www.amazon.com/Selling-Value-Deals-Higher-Prices/product-reviews/1737655217/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews& SolarCity: https://en.wikipedia.org/wiki/SolarCity Home Depot: https://www.homedepot.com Azure: https://azure.microsoft.com/ Google: https://www.google.com/?client=safari Lowe's: https://www.lowes.com Sun Power: https://us.sunpower.com Sunrun: https://www.sunrun.com TD Synnex: https://www.tdsynnex.com/na/us/ Ingram Micro: https://www.ingrammicro.com Five9: https://www.five9.com Genesys: https://www.genesys.com/en-sg/ NICE inContact: https://www.nice.com/ Zoom: https://zoom.us Dialpad: incontact.com/content/home.htm ChatGPT: https://chatgpt.com Wall Street Journal: https://www.wsj.com/ Automation Anywhere: https://www.automationanywhere.com Microsoft: https://www.microsoft.com/en-ph/ UiPath Licensing: https://licensing.uipath.com/ Hulu: https://www.hulu.com/welcome?orig_referrer=https%3A%2F%2Fwww.google.com%2F Roku TV: https://www.roku.com/products/roku-tv?srsltid=AfmBOoomwWI9G8ZABYW7gSPFzBHc87xVmartPBXAWzj7GfPfAJQYjTtO Super Bowl: https://en.wikipedia.org/wiki/Super_Bowl Xfinity: https://www.xfinity.com/   Connect with Dan Foster: LinkedIn: https://www.linkedin.com/in/jdanfoster/ Email: dfoster@telarus.com   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Today's guest is Ken Mertzel, Global Industry Leader in Financial Services at Automation Anywhere. Automation Anywhere is a global software company that develops various automation software for major industries. Before joining Automation Anywhere six years ago, Ken spent his career in the financial sector, including 15 years at Bank of America. There, he served as CFO of the insurance division and held various leadership roles in finance, risk management, and consumer operations, ultimately leading financial operations for the bank. Before that, he was part of Accenture's Financial Services Strategy practice, advising clients on industry-leading financial strategies. Ken joins us on this week's program to explore the evolution of automation in heavily regulated industries. He explains why traditional RPA has only been able to automate a fraction of tasks and how AI is unlocking new opportunities. Ken also breaks down how agentic automation is transforming key financial processes, from AML investigations to fraud detection and underwriting. By combining AI with automation, organizations can extract valuable insights, streamline decision-making, and create more interactive, human-in-the-loop systems. This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Manish Ballal is a GTM and Sales leader with over a decade of experience in the automation space. He is currently leading Generative AI initiatives at Amazon Web Services (AWS). He brings a wealth of experience from both large global technology companies and startups. Previously, he held leadership roles at major GSIs and had a significant tenure at Automation Anywhere. In this episode, we discuss: - Automation evolution - Enterprise deployments - Specific use cases - Challenges with security, AI agents - Process-first approach - Vertical Agents More information and Links: Connect with Manish: Linkedin.com/in/manishballal/ Visit Nandan on the web at nandan.info

How is artificial intelligence reshaping the finance industry, and what role do CIOs play in driving digital transformation? In this episode of Tech Talks Daily, I connect with Sumit Johar, CEO of BlackLine, a leader in digital finance transformation. With over 20 years of enterprise cloud experience spanning cybersecurity, automation, and data governance, Sumit brings a wealth of expertise to the conversation. Sumit shares insights into the evolving role of the CIO and how deeper collaboration with CFOs is driving innovation and efficiency in finance. We explore the transformative power of AI, from streamlining financial processes to enabling smarter decision-making, and discuss its potential to shape industries beyond finance. Drawing from his leadership experiences at Automation Anywhere and MobileIron, Sumit illustrates how AI is unlocking new opportunities while addressing ethical considerations in its adoption. As businesses navigate an era of rapid digital transformation, how can they leverage AI to redefine finance and technology while ensuring ethical use? Tune in to discover Sumit's perspectives and join the conversation on the future of AI in reshaping global industries.

In this episode, we dive into the world of automation and AI with Niti Mehta, co-founder and Social Impact Officer of Automation Anywhere. Niti shares valuable insights on how robotic process automation (RPA) is transforming industries, the importance of balancing technology with human-centric work, and the ethical considerations surrounding AI. Niti also highlights inspiring examples of how RPA is being used for social good and shares her optimistic vision for the future of technology.

JP Morgenthal (JP) is a seasoned expert in applied AI and automation. With over 20 years of experience as a Chief Technology Officer (CTO) and Solution Architect, JP has been a driving force behind digital transformation for Fortune 1000 companies. His expertise spans IT architecture, cloud strategies, and large-scale system implementations. Currently, JP is the Vice President of Solution Engineering at CafeX Communications, following prominent roles as CTO of Automation Anywhere and App Services at DXC. In this episode, we delve into the convergence of various automation technologies like RPA, BPM, iPaas, and AI. JP shares insights on the influence of new AI advancements, including Large Language Models (LLMs) and AI agents, and explores the future trends in intelligent automation. Join us as we unpack these topics, offering a glimpse into how these innovations reshape the technological landscape. More information and Links: More about JP Morgenthal: https://jpmorgenthal.com/ Connect with JP Morgenthal: linkedin.com/in/jpmorgenthal/ Visit Nandan on the web at nandan.info

On this episode, Prince Kohli, the CTO of Automation Anywhere, discusses the evolution of robotic process automation (RPA) and its impact on industries. He shares real-world examples of how RPA and AI have transformed processes and improved efficiency in various sectors, and he delves into the implementation of RPA and AI, data governance, and the future of automation.Key Takeaways:The evolution of RPA and AI has led to significant advancements in automation, impacting various industries and improving efficiency.Real-world examples demonstrate the transformative impact of RPA and AI in healthcare, government, and other sectors, particularly during the COVID-19 pandemic.The implementation of RPA and AI requires careful consideration of data governance, AI model governance, and the reduction of hallucinations in AI models.The future of automation involves the seamless integration of RPA and AI to address complex business challenges and improve operational processes. AI and automation are transforming industries and enabling the creation of new tools and processes.Data quality is crucial for the success of AI and automation, and techniques like RAG (Retrieval Augmented Generation) are used to ensure veracity and reliability of data.Technological advancements have the potential to solve everyday problems such as traffic optimization, flight rerouting, and automated invoice processing.Investment and awareness are key drivers for the adoption and implementation of advanced technologies in various sectors. --Imagine a world where your data flows like electricity—unseen, yet powering everything you do. A world where high availability, low latency, and disaster recovery are not just expectations but realities. Welcome to the future, powered by Zayo's network.In a world that never stops, Zayo is the network underneath it all, helping the most innovative and forward-thinking companies grow. Because Zayo doesn't just connect places, they connect possibilities. Zayo connects what's next for you.Discover the power of Zayo's network today. Visit https://go.zayo.com/network/itvisionariesMission.org is a media studio producing content for world-class clients. Learn more at mission.org.

Questions covered in this episode:01:10 To start, can you take us back to a moment in your career or life where you had to step outside of your comfort zone? What was the experience like, and how did it contribute to your personal or professional growth? 04:48 How is your role like as a Senior Vice President, Product & Solutions Marketing at Automation Anywhere?07:55 Do you have any tips for people that are building their analyst relations program or just getting into it for that first time?11:15 How PMM specifically has changed with regards to AI?20:11 Where are some great resources where they can tap into that you think would help benefit anyone in product marketing?28:36 What new skills do you think product marketers will need to succeedHow do you think product marketing will change over the next 5, 10 years?32:58 How do you think product marketing will change over the next 5, 10 years?35:33 How do you achieve work/life balance?40:26 What is the one thing that has been most important growing in your career?Want more insights from Claudia? Check out her Sharebird Profile.Looking to connect? You can find Claudia here on LinkedIn.

00:08 | Wayve raises $1b- UK AI-autonomous driving technology company, licenses AI-tech to car manufactures- Softbank, D1, Nvidia, Microsoft investors- Round valuation was not disclosed- Last published valuation was $1.35b in Jan 2022 Series B01:49 | Chime fined by CFPB - online checking and savings accounts- fined $3.25m for failing to refund customer funds on a timely basis- growing pains, nothing to see here- $5.1b secondary market valuation; -80% from Sep 2021 round03:13 | Wiz $12b valuation- NYC cloud security firm- $12b post-money after $1b cap raise- a16z, Lightspeed, Thrive invested- $350m in 2023 annual recurring revenue- 34x revenue multiple (HIGH!)04:13 | Titkok sues US govt (obviously)- challenging divest/ban law passed last month- 170m US users- $16b in TikTok US 2023 revenue- estimated $152b valuation is Meta price-to-sales multiple applied05:43 | OpenAI cuts another training data deal - licensing partnership with Dotdash Meredith- brands include People Magazine, Better Homes & Gardens, Investopedia- OpenAI has data deals with FT, Axel Springer, Le Monde, Prisa, AP, StackOverflow- $99.4b secondary market valuation, +16% from Jan 2024 last round06:58 | FTX customers made whole!- $11b owed to 2m customers- $16.3b in total assets recovered- customers and creditors made whole + interest, 118% of original value08:43 | Pre-IPO +1.41% for week, +31.09% for last 1yr- Week winners: Ramp +15.9%, Groq +12.1%, Notion +5.4%, Revolut +4.4%, Chainalysis +4.2%- Week losers: Hugging Face -5.6%, Chime -2.9%, Bytedance -1.7%, Databricks -1.6%, Epic Games -0.9%- Top valuations: ByteDance $288b, SpaceX $192b, OpenAI $99b, Stripe $75b, Databricks $43b09:25 | +1.07% 2024 Pre-IPO Stock Vintage Index- www.agdillon.com/index to see all 20 Pre-IPO Stock Vintage Indexes- 2024 Vintage Index top contributors since inception: Epic Games +177%, Rippling +89%, Revolut +40%, Klarna +36%, Anduril +34%- 2024 Vintage Index top detractors since inception: None. All 10 constituents are in positive territory. - Looking at all 20 vintages … here are the winners and losers for the week; …winners = Rippling +3.2%, SpaceX +1.6%, Databricks +1.5% and…losers = Automation Anywhere -20.9%, OpenAI -3.3%, Tanium -2.2%- Rippling is in 2024 Vintage Index; 14% weight, +73% from index inception, +1.4% from last primary round- Key metric averages for all Vintage Indexes 5 years old or older……3.31 distributed paid in capital…2.06 residual value to paid in capital…5.37 total value to paid in capital…4.1 years to return the fund

00:07 | X Payments approved in 25 or 50 states- X Payments functionality; pay a friend, pay a merchant, earn interest, shop, buy content- X = YouTube, WhatsApp, Venmo, Amazon, NYT/CNN, Apple App Store … all in one app- X needs “X Apps” to become everything app like WeChat in China- $12.5b current valuation (Fidelity), -71% from Musk's Oct 2022 $44b purchase price02:42 | OpenAI cuts data deal with Financial Times- OpenAI to use FT data to train models, users to access FT summaries, quotes, and links- FT to use OpenAI for AI-focused journalism tools- $98.7b secondary market valuation, +14.8% from Apr 2024 primary round03:53 | CoreWeave's $19b valuation, +171% in 5 months- AI-focused cloud provider- $1.1b raised at $19b post-money valuation- +171% from last round in Dec 2023, just 5 months ago- Use of proceeds = increase data center infrastructure, expand to Europe- Coatue led w/ Altimeter, Nvidia, Fidelity participating05:08 | Anthropic launches mobile app- iPhone app for Claude chatbot- new subscription plan; $30/month/user for increased chatbot usage + new collaboration tools- $18.4b valuation, +2.3% from Jan 2024 primary round06:14 | Pre-IPO +0.16% for week, +25.87% for last 1yr- Week winners: Neuralink +4.5%, Ramp +4.4%, Rippling +3.2%, Chainalysis +3.2%, Groq +2.5%- Week losers: ConsenSys -8.8%, OpenAI -3.3%, Anthropic -1.9%, Chime -1.2%, eToro -1.0%- Top valuations: ByteDance $293b, SpaceX $189b, OpenAI $99b, Stripe $74b, Databricks $43b06:58 | +0.17% 2024 Pre-IPO Stock Vintage Index- www.agdillon.com/index to see all 20 Pre-IPO Stock Vintage Indexes- 2024 Vintage Index top contributors since inception: Rippling +73%, Stripe +58%, Klarna +34%, Revolut +34%, Anduril +30%- 2024 Vintage Index top detractors since inception: None. All 10 constituents are in positive territory. - Looking at all 20 vintages … here are the winners and losers for the week; …winners = Rippling +3.2%, SpaceX +1.6%, Databricks +1.5% and…losers = Automation Anywhere -20.9%, OpenAI -3.3%, Tanium -2.2%- Rippling is in 2024 Vintage Index; 14% weight, +73% from index inception, +1.4% from last primary round

Dr. Yan Chow, Global Healthcare Leader at Automation Anywhere, dives into the growing role of AI and automation in healthcare. He discusses the current state of the field, how health insurers are leveraging this technology, and the challenges and opportunities that lie ahead.This episode is sponsored by Automation Anywhere.

00:08 | Flexport wins Shein business- Flexport wins Shein US shipping business with deep tech integration- Shein to expand products outside of fashion and manufacturing from India/Latin America- Flexport has $1.5b secondary market valuation, -81% from last primary round in Mar 2022- Shein has $45b-$55b secondary market valuation, May 2023 primary round at $66b01:29 | X/Twitter to launch TV app- X TV App on all smart TV platforms- X seeks to directly compete against YouTube- Half of YouTube views are on its TV app and YouTube's TV app has more viewership vs Netflix- Fidelity, a X shareholder, has a $12.5b valuation for the company, -72% vs Musk's Apr 2022 purchase price02:55 | Tiktok US to have a $152b valuation- US govt has passed a law requiring ByteDance to divest Tiktok US business in 1 year or less- TikTok US has 170 million users- AG Dillon believes TikTok US could have a valuation up to $152b if sold “as is”- A $152b valuation places TikTok US as the 3rd largest pre-IPO stock globally05:24 | xAI raising $6b at $18b valuation- xAI is Elon Musk's AI large language model business sourcing data from X/Twitter- Sequoia leading $6b round- Musk has already invested nearly $1b into xAI06:19 | Stripe tech to accept stablecoin payments- Online merchants using Stripe payment solutions will be able to accept payment in stablecoin cryptocurrencies- Solana, Ethereum, and Polygon platforms will be initially accepted- Stripe has a $74.1b secondary market valuation, +14% vs its Feb 2024 primary round07:43 | Anduril wins another govt contract (unmanned jets)- Anduril to develop and test unmanned fighter jets- Potential to win multi-billion-dollar production contract in 2026- US military aims to have a fleet of 1000 unmanned fighter jets- Anduril has a $13.0b secondary market valuation, +53% vs its Dec 2022 primary round08:42 | Pre-IPO +1.31% for week, +24.96% for last 1yr- Week winners: Chime +17.2%, Ramp +3.5%, Stripe +1.5%, Chainalysis +1.2%, Bytedance +1.1%- Week losers: OpenAI -2.7%, Anthropic -1.9%, Groq -1.5%, Flexport -0.9%, Revolut -0.7%- Top valuations: ByteDance $289b, SpaceX $185b, OpenAI $100b, Stripe $74b, Databricks $42b09:25 | +1.92% 2024 Pre-IPO Stock Vintage Index- www.agdillon.com/index to see all 20 Pre-IPO Stock Vintage Indexes- 2024 Vintage Index top contributors since inception: Stripe +56%, Rippling +50%, Klarna +32%, Revolut +28%- 2024 Vintage Index top detractors since inception: None. All 10 constituents are in positive territory. - Looking at all 20 vintages … here are the winners and losers for the week; …winners = Chime +17.2%, Automation Anywhere +1.8%, Stripe 1.5% and…losers = OpenAI -2.7%, Anthropic -1.9%, Revolut -0.7%- Chime is in the 2021, 2022, and 2023 Vintage Indexes; 3% to 4% weight in these indexes so not a material impact to overall TVPI for indexes

00:09 | Rippling raises at $13.4b- HR tech company, constituent in AG Dillon Pre-IPO Stock 2024 Vintage Index- $870m raise at $13.4b post-money valuation- $200m in capital for company- $670m in secondaries for existing shareholder liquidity- $13.4b valuation is +25% from current secondary market valuation of $10.7b01:31 | Ramp raises at $7.6b- Spend management company- $150m raises at $7.6b post-money valuation- 4x revenue increase vs 2022- Surpassed $300m annualized revenue summer 2023- 25,000 business customers- Capital will be used to integrate AI into product suite- $7.65b valuation is +14% from current secondary market valuation of $6.7b02:44 | Klarna's new US credit card- Consumer credit tech company, constituent in AG Dillon Pre-IPO Stock 2024 Vintage Index- Launching a credit card; pay by (a) buy now pay later installments or (b) revolving credit line- Physical card and tap-and-pay with Apple/Google- Up to 10% cash back on Klarna shopping marketplace app (like Amazon marketplace)- $9.8b secondary market implied valuation, +45.6% vs its last primary round in Jul 202204:16 | AI clones in Hollywood- Creative Artists Agency creating AI avatars of Brad Pitt, Reese Witherspoon- Clear Angle Studios and Racket Sound scan/capture the actors' bodily and vocal characteristics- Actors have ownership of their digital likenesses- Applications; reshooting scenes, dubbing in different languages05:42 | Mistral raises at $5b- AI large language models for developers to access with APIs- Raising at a $5b valuation- $2b valuation last round in Dec 2023- $3b valuation increase in just 4 months!06:54 | Anduril autonomous submarine for Australia Navy- Defense technology company, constituent in AG Dillon Pre-IPO Stock 2024 Vintage Index- Delivered Ghost Shark autonomous submarine for Australian Navy- $90m contract for 3 Ghost Sharks- $18.7b secondary market implied valuation, +39% vs its last primary round in Dec 202208:38 | Revolut changes bank partners in US- Mobile banking company, constituent in AG Dillon Pre-IPO Stock 2024 Vintage Index- Changes partner banks from Metropolitan Commercial Bank to Community Federal Savings Bank- Metropolitan Commercial Bank fined $30m by the Fed/NY State banking regulators re: compliance issues for 3rd party program, MovoCash … could have contributed to decision- No changes to product features or pricing- $19.1b secondary market implied valuation, -42% from its last primary round in Jul 202109:33 | Pre-IPO +0.64% for week, +20.29% for last 1yr- Week winners: Chime +17.2%, Ramp +3.5%, Stripe +1.5%, Chainalysis +1.2%, Bytedance +1.1%- Week losers: OpenAI -2.7%, Anthropic -1.9%, Groq -1.5%, Flexport -0.9%, Revolut -0.7%- Top valuations: ByteDance $289b, SpaceX $185b, OpenAI $100b, Stripe $74b, Databricks $42b10:20 | -0.23% 2024 Pre-IPO Stock Vintage Index- www.agdillon.com/index to see all 20 Pre-IPO Stock Vintage Indexes- 2024 Vintage Index top contributors since inception: Stripe +56%, Rippling +50%, Klarna +32%, Revolut +28%- 2024 Vintage Index top detractors since inception: None. All 10 constituents are in positive territory. - Looking at all 20 vintages … here are the winners and losers for the week; …winners = Chime +17.2%, Automation Anywhere +1.8%, Stripe 1.5% and…losers = OpenAI -2.7%, Anthropic -1.9%, Revolut -0.7%- Chime is in the 2021, 2022, and 2023 Vintage Indexes; 3% to 4% weight in these indexes so not a material impact to overall TVPI for indexes

00:08 | ByteDance/TikTok stock buyback!- Expanding Q4 2023 buyback to non-US employees- $171/share for employees, $145/share for former employees- $112b in 2023 annualized revenue (run rate as of YTD Q3 2023)- $285b current secondary market valuation- Meta, about same revenue, at $1.32 trillion market cap01:09 | OpenAI extends $86b tender- Extending $86b tender to former employees- $150/share price- Revenue: $2.0b in Dec 2023 annualized, $5.0b in Dec 2024 forecast- $103b current secondary market valuation based on $150/share price02:14 | Humane AI Pin officially launches- Alternative to a smartphone, pin onto your shirt- Engage by talking to the AI Pin- $699 for AI Pin + $24/month subscription- Rabbit R1 is main competitor; “large action model” is very cool- Closed in Series C in Jul 2023 raising $100m at a $850m valuation03:36 | Revolut's India regulatory approval - Reserve Bank of India approves for Prepaid Payment Instruments, including prepaid cards and wallets- Revolut already has RBI approval for Category-II Authorized Money Exchange Dealer, multi-currency forex cards, and cross-border remittance services- Received bank approval from Mexican regulators last week- $19.2b secondary market valuation, -42% from its last primary round in Jul 202104:44 | Pre-IPO +0.38% for week, +20.43% for last 1yr- Week winners: Groq +10.8%, Klarna +5.1%, Neuralink +3.8%, ConsenSys +2.9%, Hugging Face +2.7%- Week losers: Ramp -17.9%, Chime -1.3%, Cohere -1.1%, Chainalysis -0.8%- Top valuations: ByteDance $286b, SpaceX $185b, OpenAI $103b, Stripe $94b, Databricks $42b05:38 | +0.98% 2024 Pre-IPO Stock Vintage Index- www.agdillon.com/index to see all 20 Pre-IPO Stock Vintage Indexes- 2024 Vintage Index top contributors since inception: Stripe +54%, Rippling +50%, Revolut +28%- 2024 Vintage Index top detractors since inception: None. All 10 constituents are in positive territory. - Looking at all 20 vintages … here are the winners and losers for the week; …winners = Automation Anywhere +22.3%, Klarna +5.1%, Databricks +2.3% and…losers = Tanium -3.2%, Chime -1.3%- Automation Anywhere is only in the 2020 Vintage Index. It has a 2% current weight in the index so not a major impact to TVPI.

Have you heard of the Rabbit Large Action Model and its potential impact on automation testing? What are 6 Software testing trends for 2024? What are the biggest takeaways from the latest 2024 SRE report that was just released? Find out in this episode of the Test Guild New Shows for the week of Jan 14th. So, grab your favorite cup of coffee or tea, and let's do this. Time News Title Rocket Link 0:00 Automation Guild Register https://links.testguild.com/ag24IN 0:25 6 Trends in 2024 https://testguild.me/urmr14 1:27 Rabbit LAM https://testguild.me/n1cd1f 2:56 Harness acquires Armory https://testguild.me/2cwfzm 3:29 Sofy.ai Launches 'Visual Match' https://testguild.me/og4jmh 4:54 Automation Anywhere's AI https://testguild.me/yg5l79 6:19 Lambdatest + New Relic https://testguild.me/n5hckf 7:50 Automated Mobile App Testing https://testguild.me/50bc4v 8:50 SRE Report 2024 https://testguild.me/1j36nz

In this week's episode, Jon is joined by an influential thought leader with over 15 years of experience in the automation space, Micah Smith, the current Vice President of Community and Learning at Automation Anywhere. In this episode, Micah shares his expertise on the evolving landscape of automation, providing valuable insights into the role of an automation leader. Join them as they discuss the power of “gamifying” automation learning through the use of bot games, how to leverage generative AI to efficiently maintain educational materials, and the future of engineering as we enter the AI era.

When does your “audience” become a “community?” The word “community” might make you think of the relationship you have with your neighbors; a sense of friendliness and having something in common. It's a word that relates an emotional closeness or bond, even loyalty. We're talking about how to build that bond with your audience today.And who better to talk about it with than Automation Anywhere's SVP of Community and Learning, Kristen Engelhardt. Together, we're chatting about driving content to one part of your TAC (and what the heck is TAC anyway?), arranging a forum for deeper audience listening, and starting small. So get ready to upgrade your growth strategy with this episode of Remarkable.About our guest, Kristen EngelhardtKristen Engelhardt is SVP of Community and Learning at Automation Anywhere, having joined the company in September, 2021. Prior to her current role, she served as VP of Trailblazer Marketing and Community at Salesforce. She has also worked for companies like PeopleSoft, Cisco and Gartner.About Automation AnywhereAutomation Anywhere is the leader in intelligent automation solutions that put AI to work across every aspect of an organization. The company's Automation Success Platform is infused with generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through intelligent automation.About Community in MarketingThe idea of community in marketing suggests that customers are more deeply engaged than just purchasing from a company. These customers are aligned with the company's brand values, mission and brand promise. They are loyal to the brand, recommend it to friends, family and colleagues, write reviews, post about it on social media, and generally evangelize the brand. Like the Apple community where users offer suggestions and answers to customer questions separately from Apple Customer Support. What is a community flywheel? It's a community-centered approach to building a brand, in which your brand joins or creates relevant communities that promote amazing experiences and engagement, translating into sales.To use the community flywheel approach to building your business, there are five key techniques:Know your communitiesMake your brand story talkableZoom in on hero productsFuel the conversation across channelsMake transactions effortlessAccording to McKinsey, when you're successfully leveraging the community flywheel approach…More than 75 percent of content about the brand is user generated.The influencer engagement rate—that is, the percentage of viewers who go on to like, comment, or share the content—is greater than 2 percent.More than 4 percent of online traffic is converted to sales.Brand-related posts by either the brand or a consumer go viral at least twice a year (triggered, in some cases, by marketing support).What B2B Companies Can Learn From Automation Anywhere's Community-Building Strategy:Focus on driving content to one part of your TAC. You get better payoff with a focused approach to community-building. Kristen says, “The most successful communities we've seen are when you identify what part of the TAC you need and want to focus on to drive transformation together. It may be we're going to focus, like in Salesforce on the administrator, and we are going to surround them with the input into the product and the career support and the peer ecosystem to make them wildly successful in their role. And we found out by listening, by hearing what they're trying to solve for, that we could advance their careers and their companies through an investment in them. And in return, they share their expertise, they share their content, they speak on stage for us, they tell our brand story through theirs, but they also help us drive the business. And you get that magic flywheel.”Arrange a forum for deeper audience listening. Create a space to talk with customers and ask questions beyond your product. At Automation Anywhere, they created their Pathfinder Workshop, which is now scaled globally and has had a massive payoff. Kristen says, “We have a bright, hard line between that program and our upsell, our pipe gen, and our version of the ACV. And all of that came about the community workshop as our number one go-to-market lever because we took the leap and listened beyond the product: ‘What are you trying to do as an automation leader?' So I love that example and the team did a phenomenal job listening, building, iterating together.”Prioritize the four pillars of community building: Destination, programs, content, and learning. These depend on how mature your business is. Kristen says, “For an early stage company, don't go out and build a destination right away. Start with the product tour or the dinner series. If you are already mature and you have so many connections and your community, your part of the TAC is saying, ‘Where do I give and get help? Where do I connect with more thought leaders? Where do I get that content?' That's when you want to invest in the destination. So make sure you're prioritizing your pillars based on where you are and where your community is.”Quotes*“Community is a category creator and an enabler that allows a company like Salesforce, like Automation Anywhere, to build an ecosystem and a job economy. And whether it's in CRM, or it's in automation, or AI, at the end of the day, community is essentially your constituency of people, regardless of role, region, market, title, that you want to use more of what you have to offer, buy more of it, and tell others to do the same, and that's the magic of community. ” - Kristen Engelhardt*“Who you go and talk to and invest in will be different in an early stage than when you are in hyper growth and you are scaling and you want to make sure that you have a nurtured relationship with your most strategic partners and your most strategic customers. It's a growth spectrum.”  - Kristen Engelhardt*”The key is just to know when you're starting out, ‘What problem am I trying to solve, for which stage of growth I'm in, and which sliver, slice, piece of the TAC do I most need to invest in, understand, know, and serve?” - Kristen Engelhardt*”You do need to invest in yourself first to create that reach. It's just that the level of investment is much lower. It's very low lift and you can pick and choose some very easy start by starting strategies before you have to go and build a 15 million member trailblazer community to drive the type of impact that McKinsey statistics are sharing.“ - Kristen Engelhardt*”There's a push and a pull. So like, your content is supposed to push your community to react and engage and to talk to each other and to spur conversations. Whereas for community, you have to be listening, you have to be responding, you have to be doing those sort of things.  And it's a very different sort of emotion. ” - Ian FaisonTime Stamps[0:55] Meet Kristen Engelhardt, SVP of Community & Learning at Automation Anywhere[2:55] Learn more about Kristen's work at Automation Anywhere[4:54] Why are we talking about building community?[6:17] What is TAC?[17:02] Tell me more about building community in marketing[30:41] How do you engage with your customers beyond asking about the product?[41:40] What is Kristen's playbook to building community?[48:25] What's the ROI of community?[52:01] Who are the critical hires in building community?LinksJoin the Pathfinder CommunityConnect with Kristen on LinkedInLearn more about Automation AnywhereAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both non-fiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Senior Producer). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

In this episode of Enterprising Insights, host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, discusses the topic of tech stack sprawl, focusing specifically on the proliferation of multiple enterprise applications within an organization. He covers the conditions that lead to sprawl, the risks and drawbacks of acquiring and implementing a wide range of applications, and highlights the offerings from vendors that are designed to reduce or eliminate sprawl. He also covers some recent news and newsmakers in the customer experience software market. Finally, he'll close out the show with the “Rant or Rave” segment, where he picks one item in the market, and he'll either champion or criticize it.

Steve Pretre, partner at World Innovation Lab (WiL), takes us on an extraordinary journey from his upbringing in Silicon Valley to becoming a key player in the insurtech and venture capital worlds. He shares the thrilling journey of starting Metromile and leading it through the IPO stage, highlighting some of the biggest challenges of starting an insurtech startup. Steve also dispels the skepticism about corporate venture capital firms (CVCs).In this episode, you'll learn:[3:47] Discover invaluable lessons from the pioneers of the insurtech industry[7:40] The story of Metromile: “I was excited and naive enough to think that we could pull that off.” - Steve Pretre[15:43] Early-stage investing isn't just about funds but also about providing strategic support to startups[22:40] Insights into corporate venture capital and why alignment of goals is paramount[27:18] The importance of staying true to your business vision and not blindly following VC adviceThe non-profit organization that Steve is passionate about: Woodside WildebeestsAbout Steve PretreSteve Pretre is a partner at World Innovation Lab. He is a veteran of multiple successful startups and has deep operating experience across product development, marketing, and strategic planning. Prior to joining World Innovation Lab, Steve was the co-founder and CEO of Metromile, an early innovator that paved the path for the current wave of insurance startups. He also held executive roles at Asurion, leading their mobile applications business unit as the company grew.About World Innovation LabWorld Innovation Lab is a venture capital fund supported by various governments and global corporations. WiL invests in companies looking to expand into new markets. They assist US startups in entering Japan and Asia and support Japanese startups in global expansion. Notable recent direct investments include Algolia, Asana, Automation Anywhere, Auth0, DataRobot, Kong, Mercari, MURAL, TransferWise, and Unqork. WiL also supports established and emerging venture funds. Additionally, they collaborate with corporate investors to enhance innovation through new business creation, startup partnerships, and cultural change. WiL acts as a bridge between startups and corporations in key innovation hubs globally, initially focusing on Japan and the US. Subscribe to our podcast and stay tuned for our next episode.

On this episode, we ask big questions to debunk prominent myths and misconceptions surrounding automation in customer experience (CX). Questions like: Are automation tools going to replace human agents? Why do up to half of all automation projects fail? Is automation too expensive? Is automation only for the biggest companies? Along the way, we weave in recent data, experiences and thoughts from two expert guests, showing why organizations are increasingly turning to automation to deliver a more streamlined and efficient customer experience. Listen for the compelling insights of Nigel Devaraj, senior product manager, hyperautomation at TELUS International and Chandrakant Binwani, former director, intelligent automation solutions at Automation Anywhere.To learn more about TELUS International and our digital CX solutions, contact us today.

In this episode of Enterprising Insights, Clint Wheelock joins host Keith Kirkpatrick, Research Director, Enterprise Applications, at The Futurum Group, for a conversation about the use of low-code/no-code development platforms within the enterprise environment. We will discuss the types of platforms available, the benefit and pitfalls of using them for enterprise development tasks, and discuss a few of the leading vendors offering these tools. We'll also cover some recent news and newsmakers in the enterprise software market. Finally, we'll close out the show with our “Rant or Rave” segment, where we pick one item in the market, and we'll either champion or criticize it. You can watch the video here and subscribe to our YouTube channel if you've not yet done so.

Chris Riley serves as President of Worldwide Field Operations of DataRobot, where he is responsible for accelerating the company's revenue growth and global footprint, bringing DataRobot to organizations across all industries and geographies. Riley previously served as Chief Revenue Officer for Robotic Process Automation (RPA) leader Automation Anywhere, where he led global sales in over 90 countries and managed an ecosystem of over 1,900 partners. Prior to Automation Anywhere, Riley served as President of Global Sales at Dell Technologies, where he was responsible for a multi-billion dollar route to market. Riley also served as Vice President and General Manager for HP's storage business at HPE. Riley lives in Naples, FL with his family.In this conversation with John McMahon, Chris discusses the importance of understanding the culture and processes of a new organization when stepping into a leadership role. He emphasizes the need for leaders to be adaptable and willing to learn from their teams. Chris also highlights the significance of metrics and productivity in managing a sales organization, as well as the importance of hiring the right people and providing them with the necessary training and development. He shares insights on building trust with the sales team, prioritizing pipeline generation, and the role of mentors, coaches, and godfathers in a leader's career.HERE ARE SOME KEY SECTIONS TO CHECK OUT:[00:01:51] Overview of what DataRobot does and its applications[00:15:13] The importance of work ethic, coachability, and aptitude in hiring[00:23:47] Characteristics of successful leaders and the consequences of failure[00:38:48] The most critical step in the sales process and the importance of a champion[00:47:26] Navigating a sluggish economy and advice for salespeople[00:54:15] The importance of hard work, generating pipeline, and following the processHIGHLIGHT QUOTES[00:22:02] "A mentor is somebody you can speak openly without fear of judgment." - Chris Riley[00:36:35] “A good leader builds trust with the team and shows genuine interest in their success.” - Chris RileyLearn more about Chris through this link:https://www.linkedin.com/in/chrisriley3/Check out John McMahon's book here: https://www.amazon.com/Qualified-Sales-Leader-Proven-Lessons/dp/0578895064

Meet Kelly Hopkins, a data consultant. We talk about what consultancy looks like for her, our mutual and totally unnecessary feelings of inadequacy from different sides of the data science aisle, why making data friends is more powerful than whatever extra certification you're looking to get next, and much more.   Find more at datahumans.club Stuff mentioned in the episode - Black Tides: https://blacktidesdata.com/    Black in Data Week 2023 even (event has passed) by Black Tides: https://www.eventbrite.com/e/black-in-data-week-2023-tickets-516193347197    Robotic Process Automation (RPA): https://en.wikipedia.org/wiki/Robotic_process_automation   -- Automation Anywhere: https://www.automationanywhere.com/    -- UI Path: https://www.uipath.com/    -- Blue Prism: https://www.blueprism.com/    -- R-Ladies: https://www.rladies.org/    -- R-Ladies Philly: https://www.meetup.com/rladies-philly   -- SLC R-users group: https://www.meetup.com/slc-rug/    Kelly on LinkedIn: https://www.linkedin.com/in/kellyhopkins-data/    -- Kelly's consulting business, Launchpad Analytics, on LinkedIn: https://www.linkedin.com/company/launchpad-analytics/    Music: Savour The Moment by Shane Ivers -   https://www.silvermansound.com

How to get started collecting feedback and ideas from your community when you can't commit to full-blown ideation and complex processes. Community Industry News: Jessica Mendez joined Contentsquare as CX Specialist, Community Manager Steven Demoya joined TelevisaUnivision as Help Center Community Manager Mariana Rodriguez joined Coinshift as Community Manager V.J. Watkins joined FinancialForce as Community Manager Faruq Hammed joined RECUR as Community Manager Rima Sengupta joined Automation Anywhere as Community Manager

Tune in for a replay of The Six Five Summit's #Automation #AI #ML #Data #Analytics Spotlight Keynote with Mihir Shukla, CEO & Co-Founder, Automation Anywhere. Today, we are experiencing a tremendous change in how business is done, with remote and hybrid work here to stay. The next big change is a digital workforce transformation where employees reimagine their work relationships to include not just fellow teammates, partners, suppliers, and customers, but also software bots – digital co-workers that they can often build themselves and collaborate with daily. Mihir will focus on how digital co-workers can transform our everyday lives and, at the same time, make humans happy. The Six Five Summit is a 100% virtual, on-demand event designed to help you stay on top of the latest developments and trends in digital transformation brought to you by Futurum Research and Moor Insights & Strategy. With 12 tracks and over 70 pre-recorded video sessions, The Six Five Summit showcases an exciting lineup of leading technology experts whose insights will help prepare you for what's now and what's next in digital transformation as you continue to scale and pivot for the future. You will hear cutting-edge insights on business agility, technology-powered transformation, and thoughts on strategies to ensure business continuity and resilience, along with what's ahead for the future of the workplace. More about The Six Five Summit: https://thesixfivesummit.com/

Epicor announced that it has acquired eFlex Systems, a cloud-based Manufacturing Execution System (MES) technology provider. The acquisition expands the Epicor portfolio of Advanced MES capabilities to help manufacturers increase productivity by modernizing their production environments through digital work instructions, advanced process control, and real-time visibility. ECI announced that it has completed its acquisition of ES Tech Group, a UK-based B2B eCommerce software, and services company serving small and medium-sized enterprise manufacturers, distributors, and wholesalers. This acquisition expands ECI's existing eCommerce portfolio and furthers ECI's investments in the digital economy and eCommerce. Acumatica released that as it continues to expand, it will be introducing a new program called Services Partner Program, where these Services Partners will join Acumatica's Value-Added Resellers and Independent Software Vendors. The Services Partners will help Acumatica customers implement and apply their ERP software for industry-specific implementations. OneStream released that its Annual Recurring Revenue increased over 50% year over year for the third quarter ending September 30, 2022. In addition to the substantial revenue growth, OneStream added over 60 new customers in the third quarter, approaching 1,100 globally. Automation Anywhere received $200 million in investments, led by major venture capital partners. Utilizing the investment, Automation Anywhere will bring significant new software enhancements to its product offering, aiming to keep “humans in the loop” of intelligent automation.https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

In this replay episode, we talk to Christelle Flahaux, SVP of Brand and Experiences at Automation Anywhere. Formerly, Vice President of Marketing at FortressIQ. 

How to persuade others through the use of an age old framework. Community Industry News: Vincent Mayers joined Gradle as Director, Community Operations Vinicius Camilo joined Distrito as Investor Community Manager Ahmet Uysal joined Sunrise UPC as Community Manager Tuvy Le was promoted to Senior Program Manager at Github Nic Tolstoshev joined Gravitee as Senior Community Manager Saumya Bagga was promoted to Senior Community Specialist at G2 Robert McIntosh joined beThirsty as Community Builder Allison Able joined Automation Anywhere as Senior Manager, Community Christie Fidura started a new role as Director, Salesforce Developer Community at Salesforce Persuasion Barry Schwartz: The paradox of choice Brian's framework

Join us in the BreakLine Arena for a conversation with Mike Micucci, COO of Automation Anywhere.He shares insights from a 30-year career of driving innovations in the tech industry, including how he balances his professional life with physical wellness, the value businesses derive from having conversations with their customers, and the importance of a team sharing the same values. "Be a storyteller. Work on your story: build it, make it interesting, try it out on different people, and iterate on it. Go to sleep thinking about it and wake up the next day and try it out again. There's a story behind why you started your company or built your idea. Tell the world your story."Please like, rate, subscribe, or review our show if you've liked what you've heard! We'd love to hear your thoughts. If you're interested in joining our community, please visit www.breakline.org.

Vincent and Ajay chat with Kristen Engelhardt, SVP at Automation Anywhere. She talks about how empowering companies to use their technology--and using the right tools, programs, and resources--help grow skills and careers. Ajay boasts about some rare whiskey bottles to try, and Vincent is ready to flaunt his energy at the office.