Podcasts about Boomi

Everyone is talking about AI agents. What fewer people are talking about is what happens behind the scenes to make those agents actually work. At Boomi World Tour London, I spoke to Andrea Bureca from AWS to discuss the growing intersection of AI, data management, and enterprise integration.One theme that emerged throughout our conversation was that successful AI initiatives are rarely just about AI. They depend on access to trusted data, reliable integrations, governance, and the ability to connect systems across the organization.We discussed:• The patterns AWS is seeing across enterprise AI deployments• How customers are approaching agentic AI initiatives• Why data management is becoming increasingly important for AI success• Common mistakes organizations make when scaling AI projects• The value of partnerships in helping customers move faster and reduce risk• What customers can expect from the AWS and Boomi relationship moving forwardIf your organization is thinking about AI agents, this conversation offers a practical perspective on what it actually takes to make them successful.The full interview is now live.#data #ai #boomi #BoomiWorldTour #london #api #BoomiWorld ##BoomiAmbassador #theravitshow

Don’t miss the AI partnership revolution Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode, Vince Menzione sits down with Amit Sinha from WorkSpan and Marc Monday from ServiceNow to dissect the rapid evolution of AI-native partnerships and the shifting dynamics of the channel ecosystem. They explore how the hyperscaler co-sell model has transformed into a complex strategy of asymmetrical collaboration that demands unprecedented speed, simplicity, and scale from publishers. By integrating AI agents to orchestrate workflows, manage high-risk renewals, and automate low-dollar deals, companies can activate their sellers and drive explosive, exponential growth in their partner programs. https://www.youtube.com/watch?v=ZP4cFBcCI9Q Key Takeaways The partner channel is no longer just a piece of the strategy; it is the entire strategy for winning in 2026. Modern co-selling is an asymmetrical collaboration where publishers must often do more than fifty percent of the heavy lifting. Implementing AI agents within partnerships can lead to massive revenue impacts, such as a 24% higher lift on renewals for companies like Boomi. True scaling requires moving beyond traditional time-and-materials consulting toward outcome-based frameworks for customers. Activating sellers through continuous AI-driven account orchestration is the ultimate key to unlocking exponential ecosystem growth. The market is moving faster than ever, necessitating that partner enablement and roadmaps shift to agile, sprint-based cycles rather than long-term rigid plans. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AI native, ecosystem shifting, hyperscalers, Work Span, ServiceNow, lifecycle incentives, cloud native, consumption led, DocuSign, Gong, Boomi, workflow orchestration, asymmetrical collaboration, CRM integration, marketplace private offers, high propensity, seller activation, agentic solution, outcome based consulting, LLM control tower. Transcript Amit Sinha and Marc Monday Audio Episode [00:00:00] Marc Monday: We have to be soup drop dead simple and we’re gonna talk about that nice. In this world. It has to be simple. Even though under the covers it’s very complicated, [00:00:10] Vince Menzione: you can feel it happening. The ecosystem is shifting beneath us. The way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room [00:00:46] Marc Monday: changes everything. Let’s start. [00:00:52] Vince Menzione: And, uh, two incredible friends up on, uh, up on stage. But I think I’m just gonna have my, one of my first friends come up. Amit Sinha from Work Span, a great, great friend and supporter. We’ve been together since the beginning, since the very first ultimate partner in Dallas when we commandeered Microsoft facility. [00:01:12] Amit Sinha: Yeah, [00:01:12] Vince Menzione: you have a little bit that you’re gonna share first and then we’re all gonna come join you. [00:01:16] Amit Sinha: Absolutely. And [00:01:17] Vince Menzione: then we’re gonna have my other great friend, mark Monday on us on stage with us as well. So yeah, [00:01:21] Amit Sinha: what a privilege. Uh, what a privilege. Vince, you do an amazing job as a community and, uh, incredible. [00:01:27] Amit Sinha: Shout out to Alexandra. Uh, we work together at Cisco talking about lifecycle incentives across the whole lifecycle. So amazing work done there as well. So. Very quickly, I’m gonna talk to you about AI native partnerships. A quick motivation. That’s me. Of course, we are using Nano banana to cover that. [00:01:45] Amit Sinha: That’s me looking up a Yellow Pages. I will date myself. That’s, uh, McDonald’s coming to India and me looking up, uh, the nearest McDonald’s, right? And this is me now booking Uber Eats Ma and I had this real experience yesterday night. I flew in from Sapphire in Orlando and I was hungry. Ma said, let’s, let’s get Uber Eats. [00:02:06] Amit Sinha: And we had a great. De this is digital native, right? We had no idea the world would transform this way, but completely new ways of working. Okay. Um, and, uh, another great experience that Mike, my co-founder and CEO seated the back half, I spent a decade at SAP, uh, doing hana, which was a database product, but it was on premise. [00:02:28] Amit Sinha: We had these racks and our whole gig was actually take an amazing HANA database with this server mounted, deployed. Wow. The CIO and the CFO, that this is the most amazing thing. And they would not say, Hey, you can’t take that box away, because it’s such a good insight that I get for my, uh, analytics product, right. [00:02:47] Amit Sinha: So that’s the old way. And look at us. We are all cloud native, right? Cloud has gotten to a place where it’s not just about infrastructure, running things and meters and stuff like that in a scalable way. It is a also source of innovation. New capability, new business model, consumption led business model. [00:03:07] Amit Sinha: Whole new way of working, right? So this comes to the new world now, what does AI need to look like? We heard all the amazing speakers talk about, uh, you know, the promise of ai, right? But you have a choice. Uh, you have a choice to do it yourself or, uh, especially as partnership professionals, right? When you do it yourself, you have this chat bots and stuff that you get from all the major. [00:03:33] Amit Sinha: You can always get more productive, but that’s about half an hour saved. The bar is too low there. So this is an amazing piece of, uh, research put together by all the experts. Vince, thank you for doing that. Uh, we had Jay McBain lend his voice as well. We had Rob Moyer with all his, uh, decades of, you know, insight and wisdom as to what would the future with AI look like, uh, encapsulate in that. [00:03:57] Amit Sinha: So go ahead, take a picture. Uh, this is not gated. Um, beautiful piece of content has also new insights from leading firms. AI native, I would dare say frontier firms who are like DocuSign or Gong who are really pioneering AI native partnerships, Boomi, and how they’re powering their renewal business case across AWS Google and Microsoft Marketplaces. [00:04:21] Amit Sinha: Uh, this really talks about that. And here, uh, this is the thought leadership that we bring to the table. And again, this is not a vendor pitch. This is, you know, as you elevate from the low bar about making yourself productive where you’re cut and paste, uh, into a chatbot, your context so that you can get a better co-sell email out there. [00:04:40] Amit Sinha: You DIY, this thing. But if you think of working with works span, these are three things that you should think about. First is imagine instead of cut and paste, you have your entire partnership context right there. And because the context is there, the right better together story, the right case study, the right partnership documents, the right opportunity and accounts that intelligence not only informs you, but also your team in a, in an extended way, and even your partnership in an extended way that’s fully automated. [00:05:13] Amit Sinha: Second is it’s not just informing you or sensing you, it is also acting. And I think this is where there are, you know, death by a thousand cuts if happening in the world where all this time gets taken up, right? But if you have an agent that scales in ly, whether you are big mature partnership, you got lots and lots of accounts and opportunities to cover, the agent can do that. [00:05:36] Amit Sinha: Or if you’re a new partnership, how do you get to market quickly? With the right assets, the right get to market content. This can work both ways. And lastly, how do you secure this partnership is done in trust. So you should have an agent for every partnership, uniquely your partnership with Microsoft, your partnership with ServiceNow, your partnership with uh, AWS and Google. [00:05:59] Amit Sinha: They all get a different agent. And the point here is these agents can work in a circle of trust and the boundary that gets established. So via work span, come talk to us outside. And with that, Vince, let’s uh, bring Mark along. Come on, mark. [00:06:17] Vince Menzione: Alright. I am gonna have you and then Mark, uh, yeah. Want mark in the middle? [00:06:22] Marc Monday: Oh, uh oh. [00:06:24] Vince Menzione: So, uh, let me move over so I get back to the picture slide. Look at those two handsome gentlemen up there. Uh, thrilled to have you Mark as well. Uh, for those of you who don’t, because you’ve been, you were just in Boca with us this Yeah. This winter. [00:06:39] Marc Monday: That’s right. [00:06:40] Vince Menzione: And, uh, tell us about your new role at ServiceNow. [00:06:43] Marc Monday: Well, I have the absolute privilege of leading the partner channel at ServiceNow. Yeah. Um, it’s comprised of our partner programs, our program gives and gets, and importantly our five routes to market, our consulting and implementation partners, our resell partners, our service provider partners, our hyperscaler partners, and importantly our build partners. [00:07:03] Vince Menzione: I love it. I love it. So let’s talk about the partner programs and why they’re so critical to ServiceNow right now. [00:07:08] Marc Monday: I think in this world scale is everything, and so this profession has always been a bit mercurial and a little bit of a black box for organizations. What does the partner team do? What does that look like? [00:07:21] Marc Monday: But what we have to continue to do is explain, this is your force multiplier. Working together in collaboration helps you scale beyond your individual numbers. And that’s really the thing that we’re focused on is how do we drive that? And I have three big things that we have to focus on is we have to be sup, drop dead simple, and we’re gonna talk about that [00:07:40] Vince Menzione: nice. [00:07:41] Marc Monday: In this world, it has to be simple. Even though under the covers it’s very complicated. We have to be incredibly fast. Agility is the key in this very moment. And then as I said, with that becomes the scaling element and the force multiplier. [00:07:56] Vince Menzione: And you have spent many, you, well, we both worked at Microsoft together. [00:07:59] Vince Menzione: It’s [00:07:59] Marc Monday: true. [00:07:59] Amit Sinha: Way back way. [00:08:00] Marc Monday: I feel like you’re punking me having me right before lunch. Like I remember back at Microsoft, you did something to me, so I’m gonna have you right before lunch. [00:08:07] Vince Menzione: It’s, no, it’s really terrific to have you. But, uh, so yeah, you, you mentioned about like the change and the specificity and the clarity around it. [00:08:16] Vince Menzione: Amme you have, uh, broken the model, so to speak, working with ServiceNow, right? Yeah. You went from being a traditional. I’ll call it co-sell Engine Marketplace Company. Uh, tell us, tell us, tell us about the innovation that’s going on in the room. We’re working with ServiceNow. [00:08:31] Amit Sinha: Absolutely. Uh, when you think of co-sell, the first mine goes to just co-sell with the hyperscalers, right? [00:08:36] Amit Sinha: Because they kind of pioneered and started this in a unique way. We, of course, got started with Microsoft eight years ago, doing not just co-sell and P two P, but since then AW S and Google right. You would be surprised to know that we do about 10% of AWS sales through work, expand co-sale. Right. Just [00:08:53] Vince Menzione: wow. [00:08:53] Amit Sinha: But that’s where we started. Where we ended up is really looking at all partner types and all motion types and. Mark and I disagreed and he, he really pushed me hard on this. Yeah, and the point here is if you look at your build partner motion, it’s also a co-sell. You build, then you co-sell and go to market, [00:09:11] Vince Menzione: right? [00:09:12] Amit Sinha: If you think about your services partners, right? You have a product. They have amazing last mile services and digital transformation. Uh, capabilities, and again, there’s a coastal motion there. So where we world works span eventually was not just coastal with hyperscalers, but across all partner types. And Mark, thank you for pushing us on that. [00:09:31] Amit Sinha: Yeah. And being a pioneering partner on works span with us. I really appreciate [00:09:34] Marc Monday: this. It was a fun rumble we got there. [00:09:37] Vince Menzione: So why does it matter now for ServiceNow specific? [00:09:40] Marc Monday: Yeah. I mean the reality is, um, I’m gonna say something provocative. We’re, we’re all friends. Yeah. Um, Cosell iss probably a misnomer. It’s not a 50 50 coequal relationship. [00:09:53] Vince Menzione: Yeah. You don’t walk in together holding it back. [00:09:55] Marc Monday: It’s asymmetrical collaboration. I love that. And I want to put the stake in the ground. The co-sell motions that have been created by the hyperscalers are wonderful. The pipe has been opened, but the reality is the publisher. Has to do a lot of the work and the systems are there, but the key is not just connecting into partner center as an example. [00:10:16] Marc Monday: Yeah. But building your own infrastructure and processes. That’s where the magic comes together, and that’s where we really drive scale. And so if we approach co-selling is asymmetrical collaboration and recognizing that you probably need to do more than 50%. When a, when a a team collaborates on co-authoring a book, it’s not like someone’s writing every other word, and it’s exactly 50%. [00:10:40] Marc Monday: Or if a pilot, a co-pilot is with a pilot on a plane, they’re not doing exactly 50% of the work’s, [00:10:46] Vince Menzione: right? No. [00:10:47] Marc Monday: This asymmetric approach requires that we do a lot of the work on our side. Yeah. And that’s where AM and team have really helped us a ton. [00:10:55] Vince Menzione: And ServiceNow was known as a ticketing solution back in the day. [00:10:58] Vince Menzione: Right. And you’ve kind of, I mean, it it, it started that way. [00:11:01] Marc Monday: We have a wonderful heritage 20 plus years Yeah. Of workflow orchestration. Yeah. And in a diggen world, what are we really doing? We’re orchestrating workflows, and importantly, we need to govern those workflows and we need to sequence them in a meaningful way. [00:11:17] Marc Monday: And so our vision of a control tower across any hyperscaler, any LLM, any workflow, any system of record, any time, that’s the key to everything. [00:11:27] Vince Menzione: And so now you’ve taken the work span approach and driven it across what I see, like taking, taking this. This stack, we’ll call it. Yeah, the tower. Yeah. And then applying all of the methodologies and best practices on what we’ve called co-selling and ecosystem orchestration, essentially is what it really is. [00:11:46] Amit Sinha: Absolutely. [00:11:46] Vince Menzione: Yeah. [00:11:47] Amit Sinha: Yeah. And we are thrilled to partner with ServiceNow on this. So ServiceNow, as you guys know, uh, release their CRM product. So we got in at the ground floor on that opportunity and with the now assist agents as well. What we’ve really built is an integration between work span as a platform. [00:12:03] Amit Sinha: And ServiceNow, CRM as well. So if anybody is using that all the way from ServiceNow opportunities to Marketplace private offers, you can a genetically do that. Of course you can do it on Salesforce Hub, spot and Dynamics, but now ServiceNow is an additional option on that. I wanna really double click though, mark, on your point around asymmetry around this, when we say six to seven partners are gonna surround the end customer, right? [00:12:27] Amit Sinha: Yes. They will come at different points in time. Yes. Right? And they will also have different roles to play. So just as you think of a team, right? A soccer team for that matter, or a football team, pick your analogy right. Not everybody’s equal. Right? There’s always a qb. There’s always somebody who holds the prime on the deal. [00:12:45] Amit Sinha: There’s always a role to play. [00:12:46] Marc Monday: Yeah, [00:12:47] Amit Sinha: and I think what’s beautiful about our partnership here is when you look at it applied to services partners, it’s about building billion dollar businesses around ServiceNow, using their competency, but knowing the kind of joint accounts you need to go pursue in order to. [00:13:03] Amit Sinha: You know, burn down their inventory or, or co-sell alongside. If it’s the build partner, it’s about attacking an industry vertical or a joint account there. Right? So knowing very intelligently who to partner with and when to bring them on is the AI orchestration that is key in this partnership [00:13:19] Vince Menzione: here. Yeah. [00:13:19] Vince Menzione: So important. ’cause you, it isn’t single threaded this, this asymmetrical approach. [00:13:24] Amit Sinha: Right. So [00:13:25] Vince Menzione: incredible. You just ha you just finished your big event. I was hoping I did spare Share with us a little bit of your perspective on what’s been changing and how your ecosystem is evolving. Uh, I had Jen Odes in the studio. [00:13:38] Vince Menzione: That’s right. As you know, back in the fall. Fall, go back and watch it again. Yeah, it’s available. Great. Great podcast interview. Yeah. And you’ve been on stage at our events before and we’ve had that as a podcast, but take us how things are changing from the partner type perspective. We have MSPs in the room. [00:13:53] Vince Menzione: I know MSPs are, I know again, hands on the steering wheel. So important, right? Yeah. This technology is so complex. How are you thinking about ecosystem in your role? [00:14:03] Marc Monday: Yeah, I said earlier it’s about simplicity, speed, and scale. Yeah. Last week we had our big customer event knowledge, and on the first day we had our partner event. [00:14:13] Marc Monday: I think the biggest thing that’s happening right now is the pace of change is a bit overwhelming at times. And keeping pace with that is super critical. So what we’ve tried to do and what we announced last week was a lot of investment in giving our channel partners the exact same tools that we use in our business, right? [00:14:32] Marc Monday: So we were really focused on. Um, delivering business value. And so we took our, the solution that we use or the tools that we use for, um, delivering, uh, business value through our partners. It’s an assessment tool. Um, we’ve syndicated that to our partners. We’ve made that available. We also put a little bit of a stake in the ground around what do customers expect right now? [00:14:56] Marc Monday: Um, the time and materials business is gonna be under a tremendous amount of pressure. Some studies are predicting that it could be. Compressed by as much as 30% customers are looking for outcome based. Yeah. Um, they may stop on that journey and, and have something that’s fixed fee. But the reality is everyone is expecting value from the, the technology that they buy, and particularly from an agent perspective. [00:15:21] Marc Monday: We really leaned in on that and published what I think is a pretty good framework mm-hmm. For, um, outcome-based consulting. And we had a couple partners co-author that with us, which was really wonderful. Nice. Um, and it was a nice piece of co-creation and I think I’m seeing more and more of that where we’re co-creating with our partners in ways that we’ve never done before. [00:15:41] Marc Monday: And then I think importantly, security and reliability, um, and managing risk increasingly will be important. In an agentic world, we call it a control tower. We made two fairly big acquisitions in the last several months in terms of both the front door and the back door in terms of securing with the calls that are going into that agent or from that agent. [00:16:04] Marc Monday: To your various data sources. And so for us trying to bring that all together with our strong history of workload flow, orchestration, and then importantly, governance, security, and risk, uh, in the environment today, when you have the potential for hundreds of thousands or even millions of agents touching your core systems of record, [00:16:24] Vince Menzione: how are you thinking about both tiering your partners and also enabling your partners? [00:16:30] Marc Monday: Yeah, I think this is also an, an an area where I’d love to benchmark with y’all, um, because, you know, historically most of us built a fairly robust learning plan for our partners. You’d have a certification and then you would have a competency, and then you, maybe you’d have a wrapper around that competency. [00:16:48] Marc Monday: And it would take a long time, maybe 12 or 18 months to get to that highest level of certification. And it was incredibly robust and that’s wonderful. But when the roadmap is moving so fast that we’re releasing weekly, monthly, and every 90 days, does that type of training still hold water? So I’m proposing that we have both a volume view of how many trained individuals can we get as quickly as possible, and then value. [00:17:16] Marc Monday: And so we don’t want to lose this rich history, what I would describe as the rear view mirror, how we got here, but we also need to approach the windscreen, the windshield, where are we going and what is that opportunity? Yeah, so we have to go a little bit faster when it comes to enablement, [00:17:32] Vince Menzione: so. You, you were in a partnership, you, you call it a built on partnership. [00:17:37] Vince Menzione: Is that, is that the approach that [00:17:38] Amit Sinha: Yeah. ServiceNow has an ISV program called The Built On Partnership. Built On [00:17:41] Vince Menzione: Partnership, yeah. [00:17:42] Amit Sinha: Uh, so we sign onto that program, great accelerators to build lot of coaching and help to build on the ServiceNow platform. It’s not just the CRM integration, where it’s the opportunities and orders. [00:17:54] Amit Sinha: And by the way, this is the best platform or order management out there. So if you think of, uh, of your, if you are a MSP or consulting partner, building orders for your customers, now you want them to land on the marketplace, right? You wanna build that highway. Think of work span, right? So that’s where we came in and we said that if we look at the large number of channel partners, MSPs, who need to do that and are using ServiceNow as a platform to do it, can they genetically do it right from the now CRM? [00:18:24] Amit Sinha: Yeah, so that’s why we came in. The three big use cases we saw, number one was renewals. You talked about Alexandra doing it. Renewals is so [00:18:31] Vince Menzione: important. Yeah. [00:18:32] Amit Sinha: Oh my goodness. If you think about the renewals playbook [00:18:34] Vince Menzione: was so huge, [00:18:35] Amit Sinha: six months, nine, you know, uh, 90 days out, you wanna build that playbook. Mm-hmm. In an agent way when you reach out. [00:18:43] Amit Sinha: And by the way, you heard, uh, die Talk about 462 billion of uncontested Cloud commits out there. Yep. You want your high risk renewals to go against the high propensity to buy accounts. Right. So imagine that matchmaking, if you were to do it humanly, it’ll take you days. If you had an agent to do it like the now assist agent, it can just be done like that. [00:19:06] Amit Sinha: So that was the first use case we went after. Nice. The second one was the low dollar automation. We all have businesses that we land, right? Sub 50 K deals, so we have inside sales teams calling on those customers all day long. So now imagine a Gentech solution where you take all those low dollar deals and again, tie to the marketplace. [00:19:26] Amit Sinha: How can you have express private offers, right, from your opportunities? So those were the two use cases that we went after first and boy, uh, we got some amazing results, [00:19:36] Vince Menzione: I bet [00:19:36] Amit Sinha: for one of these companies, Boomi, we showed that 24% higher lift on renewals. That’s like hundreds of millions in impact just in one year alone. [00:19:46] Vince Menzione: And using AI internally as obviously you’re an AI company. Yeah. How are you thinking about how’s the impact of AI helping the partner function within ServiceNow? [00:19:54] Marc Monday: I, I think there’s this really wonderful opportunity right now where in the short term, we’re taking busy work out of the partner management profession. [00:20:05] Marc Monday: Um, partner managers historically have spent a lot of time chasing data and chasing information and really acting as an ombudsman for the partner within the organization. That work is very quickly. Getting identified. That’s phase one. The thing I’m actually a little more excited about is when it can expand the horizon to have different types of conversations, expanding the partnerships, expanding the multi-partner oppor opportunities. [00:20:29] Marc Monday: That, for me is the next phase, but we, I believe we are the most progressive when it comes to using AI on ourselves and really trying to take the profession to the next level. [00:20:40] Vince Menzione: Nice. Well, I was gonna, I was gonna, I want to go back to the platform again. ’cause you, you’re, you’re starting, you, you mentioned renewals, you’re mentioning some of the success. [00:20:50] Vince Menzione: What else can you point to on the success side, [00:20:52] Amit Sinha: there’s some, uh, amazing research that Sam here has done, uh, with all the data that Wepan has. So we looked at close to a million opportunities and, uh, looked at all the companies doing well. And we actually tabulated how many sellers are engaged on co-sell, not the partnering team, but how many end sellers. [00:21:11] Amit Sinha: This shows the extent of the transformation that the company has gone through, and what we found was amazing. If more than 50% of your sellers have engaged on 10 or more deals, your ecosystem is exponential. It doesn’t need the kind of the doctoring or the prod or the push to kind of say, Hey, use partners. [00:21:31] Amit Sinha: The sellers get it themselves, right? So we, we did this analysis and found like, wow, how can we then get sellers to activate? And the bottleneck that we found was. That there are not enough partner managers to assist every seller in the world. I think that seller activation is the unlock that AI can do. [00:21:50] Amit Sinha: Imagine if you have a partner agent sitting on every account and every opportunity 24 by seven, right? As the world changes, as the world evolves, as the solutions come in. As you know, market events happen. These agents are listening, positioning the right. One of those six partners, or all six partners for that matter, in front of people. [00:22:10] Amit Sinha: So I feel like that that big unlock is seller activation. Yeah. So if all partner managers do with ai, next is one. Of course, get yourself skilled up and yourself productive. But next, direct it to your own internal sales teams and get them activated on your partnerships because that’s where you will move the revenue lever the fastest, in my opinion. [00:22:30] Vince Menzione: Fantastic. What advice do you have for whether they be ISV partners or other partners in the room? ’cause we have partners of all types here. Yeah. What would you have, what would you say to them that need to do differently or better? [00:22:43] Marc Monday: Yeah. [00:22:44] Vince Menzione: Starting today, [00:22:46] Marc Monday: I, I don’t wanna be a broken record, but I would just say go faster. [00:22:48] Marc Monday: However fast you think you’re going, it’s not enough. Yeah. Um, the reality is I think Bill McDermott says like, the market’s never been this fast before and it will never be this slow again. Oh. The reality is this is the pace we run at, and the only way we can run at this pace is if we have the agents doing much of the work for us. [00:23:09] Marc Monday: So I would say go faster. The second thing I would say is automating a bad process is a bad process. So really go and interrogate the workflow that you’re actually thinking about identifying. I’ve seen too many instances from partners and partnerships where you’re taking a bad process and you’re trying to build automation. [00:23:29] Marc Monday: Go back and deconstruct it or start fresh blank piece of paper. Um, again, to my metaphor of the rear view mirror and the wind screen, like it’s, we should honor the past. We’ve done a wonderful job in the last 30 years of building all of this stuff. It’s just not built for this speed. So we need to really stay focused on what’s in front of us. [00:23:49] Vince Menzione: We talked a little bit earlier in one of the other sessions about the playbook and the three year plan, and then maybe moving to sprints. That’s right. How are you, how are you thinking? Are you thinking along the same lines? A [00:23:59] Marc Monday: hundred percent. Uh, we need to move at the pace. Sorry, I’m, we need to move at the pace that the roadmap is moving. [00:24:05] Marc Monday: So if we’re doing weekly, monthly, and quarter releases, we don’t wanna whipsaw the channel. We have to be careful of that. But the reality is, if we’re pivoting our product strategies or release strategies on a quarterly basis. We have to have that same level of agility. That’s where the people who’ve grown up in this profession taking really complicated stuff and making it simple is so critical. [00:24:26] Vince Menzione: Ami, you touched on AI’s role in the partner function. But let’s expand on that. What, what’s it gonna look like in two years? If AI becomes, will it replace the partner function? What, what do you see happening? [00:24:38] Amit Sinha: Absolutely not. I think, uh, we are seeing this evolution and, and you can see the parallels in the engineering organization. [00:24:44] Amit Sinha: When Claude Cursor came along, you saw engineering completely transformed as to how products are now built. How they are, how product managers write PRDs, how engineers actually code this, you know, code the scaffolding all the way to the user experience, how it’s tested. Everything has fundamentally changed. [00:25:01] Amit Sinha: So if you went and asked the engineering leader, how will your role change? Right? Imagine answering that question today, right? It’s fundamentally different. I feel like it’s coming to every function. Whether you want it or not, it’s coming to every function. And the partnership leader will look like the partnership operator that Rob talks about. [00:25:19] Amit Sinha: Yes. It’ll be about orchestrating real time relationships at the account level, at the opportunity level, and being a hands-on person. Uh, i, I would say even at the leadership level or down to partner managers, how can you cover the breadth of accounts and opportunities that’s out there to, for you to prosecute? [00:25:36] Amit Sinha: It’ll not look like I’m managing a partnership. It’ll not look like, Hey, I have to offer an MDF. It’ll not look like, Hey, let’s do A QBR, you know, and get all the teams engaged because that’ll be too late essentially. So this operator perspective is what’s gonna change just as it changed in engineering, it’s gonna happen in partnerships [00:25:56] Vince Menzione: perspective as well. [00:25:57] Marc Monday: Big plus one on what Rob’s talking about. I, I, I’m a big fan of that and I love this idea of using what’s happening in the developer world as an analog for where we’re going. Yeah. Um, I met a product manager last week and she was saying that she was producing 30 or 40 product requirement docs every week. [00:26:14] Marc Monday: Um, that’s remarkable output and she can only do that because of the way she’s leveraging ai. The same will be true for a partner manager, a 10 x, a 20 x, a 30 x on each individual once we get to that stage, and it will happen very quickly. [00:26:29] Amit Sinha: Yeah. Imagine putting a hundred joint account plans together in a day. [00:26:33] Amit Sinha: Yep. [00:26:33] Vince Menzione: Right. Incredible. [00:26:34] Amit Sinha: Imagine putting like five connections on an opportunity just surrounding your deal right now. Right. Doing that. [00:26:41] Vince Menzione: I couldn’t even, I, I couldn’t even imagine. I know you couldn’t even imagine when we were back in the days we were running PAMs and Yeah, totally. Those resources, what they had to do and what’s all totally automated today. [00:26:52] Marc Monday: It. It’s true, it’s true. I was, um, I was bemoaning this, I’ve been on the road a lot lately and I was like telling my wife, like, I long for the days where you have one meeting and you go, you know, you go to New York and you do a two hour QBR and you go to a nice dinner and then maybe you walk around Central Park. [00:27:06] Marc Monday: The reality is you’re doing a hundred of those every single day. It’s a different era. That’s where we need to get the tools to work for people. [00:27:15] Amit Sinha: Mark, I love your analogy around the rear view mirror versus the windshield. Mm-hmm. You have to see through the windshield. [00:27:20] Marc Monday: We do. We do. It’s amazing. Don’t be afraid. [00:27:23] Marc Monday: I, I mean, I would just say do not be afraid. Be excited. We in this room, get to lead the path. Yeah. It is an absolute privilege. [00:27:32] Vince Menzione: So insightful, gentlemen, you’ve been incredible to be on stage with today. Uh, I we have a le a little less than a minute. I was hoping maybe if there was like one question we could take. [00:27:42] Vince Menzione: I got John with a mic and then it’s lunchtime after this, so [00:27:48] Marc Monday: ask on because he can be more pithy. [00:27:50] Vince Menzione: Yeah. [00:27:55] Vince Menzione: Well, you’re both are gonna be around here. I hope [00:27:57] Marc Monday: we will be here. [00:27:58] Vince Menzione: Mark didn’t have you got to sleep in your own bed last night? [00:28:00] Marc Monday: Uh, yeah. It was a long day, but yes. I thank you for, it was very late. Thank you so much. Let’s put this on the record. Marks down. We’re having the event in Bellevue. That was great. [00:28:09] Marc Monday: We’re gonna [00:28:09] Amit Sinha: bring it back. We’re gonna bring it back to Bellevue. [00:28:12] Marc Monday: Seven mile commute is the best trip that I’ve had in many, many weeks. [00:28:17] Amit Sinha: Thank you. Well, thank you, gentlemen. It [00:28:19] was [00:28:19] Marc Monday: incredible. [00:28:20] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:28:28] Vince Menzione: Subscribe where you listen, and head over to the Ultimate partner.com for show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live event in Reston, Virginia, [00:28:44] Marc Monday: October [00:28:45] Vince Menzione: 26th through October 28th. Until next time. Keep showing up in the rooms that matter because being in the room changes everything.

What prevents a successful AI experiment from becoming a dependable production system that delivers measurable business value? In this episode of Tech Talks Daily, I speak with Ed Macosky, Chief Product and Technology Officer at Boomi, about AI pilot purgatory, integration, governance, model selection, token costs, and the technical skills businesses may need as adoption grows. Ed leads Boomi's product and engineering teams while also using AI tools inside his own organization. That gives him a view from both sides: creating technology for enterprise customers and applying it within active product development workflows. He believes many AI pilots begin with the wrong question. Teams become interested in the latest model or feature before defining the business problem they want to solve. The experiment may work during a demonstration, then fail when it encounters real data, access controls, security policies, and production systems. Placing company information inside a data lake and adding a language model does not automatically create a business application. The system must access current data reliably, respect employee permissions, connect with existing applications, and operate within governance rules that security teams can approve. Ed recommends beginning with a defined business opportunity and establishing the access required to support it. Existing APIs can already provide authentication, permissions, and governance. MCP can offer another route into enterprise systems, but those connections still require security, monitoring, and management. Team alignment also matters. An AI center may be racing to test models while an integration center concentrates on a different set of priorities. When those groups fail to coordinate, the pilot lacks the connectivity and automation required to become part of a production workflow. The discussion then turns toward fragmentation. Every technology wave produces new vendors, frameworks, and specialist tools. Early experimentation benefits from variety, but mature companies can eventually find themselves maintaining a complicated collection of products held together with custom code and, occasionally, the digital equivalent of duct tape. Ed does not recommend placing every function with one provider. He does argue for enough consolidation and abstraction to prevent experimentation from creating years of technology debt. Governance and observability should also work horizontally across different environments, including platforms such as SAP, Salesforce, and several AI model providers. That becomes increasingly important as businesses introduce autonomous agents. Leaders need to know which agents exist, what systems they can access, what actions they can take, and how each decision is recorded. AI gateways and agent control towers can provide a wider view across otherwise separate technology environments. Ed also introduces the idea of the frontier engineer. A prompt engineer concentrates on communicating effectively with a model. A frontier engineer understands how the model works, including its logic, mathematics, algorithms, and suitability for different workloads. He does not believe every company needs a large team of these specialists. However, he argues that enterprises need at least one person capable of assessing vendor claims and deciding whether a frontier model, specialist model, or open weight model fits a particular workload. Cost creates another reason to examine model selection. Sending every employee request or agent task to the most capable frontier model can become expensive. Some repeatable workloads may run on open weight models inside the company's cloud or hardware environment, giving finance teams greater cost certainty. Boomi is developing Boomi Prompt to route requests according to their complexity and requirements. A simple factual request might go directly to an API. A forecasting task may use a smaller model. A difficult analytical request could be sent to a frontier model. Ed uses the weather as a helpful example. Retrieving next Tuesday's forecast does not require a language model when a public weather API can return the answer directly. Asking a model to perform every form of automation wastes tokens, computing power, energy, and money. The episode closes with practical advice for CIOs. Avoid starting with a broad objective such as agentifying the entire business. Choose a department, identify a small number of tasks, define the expected return, and work backward. Once the team proves value and understands the operating requirements, it can repeat the process elsewhere. Could intelligent routing, stronger integration, and clearer business outcomes finally move enterprise AI beyond pilot purgatory? Listen to the episode and share your thoughts with me.

ROI supersedes AI. That's the blunt verdict from Steve Lucas, Chairman and CEO of Boomi, who has spent 30 years at the top of enterprise software. With OpenAI burning $3 billion a month and Gartner projecting that up to 40% of enterprise AI projects will be abandoned by 2027, the blank-check era for AI spending is over — and the reckoning is coming faster than most investors realize. Motley Fool analyst Rachel Warren sits down with Steve to unpack what Wall Street is missing: why the next wave of AI winners won't be the flashy model makers, how to spot the difference between a real AI strategy and expensive spin, and the single metric that separates transformative technology from hype. Host: Rachel Warren Guest: Steve Lucas Producers: Bart Shannon, Lauren Budabin Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

boomi: AI Ambition Is Everywhere. AI Readiness Is Not, Podcast

Some conversations stay with you because there is no hype in them, just real answers. That is how my interview on The Ravit Show with Thomas Benjamin, SVP of Product Development and Engineering at Boomi, felt at Boomi World 2026.Thomas was clear about why most companies cannot get past their first pilot. They treat scaling as a model problem, when the real issue is everything underneath. The data. The context. The way agents are governed. That is where pilots quietly fall apart.We also talked about what agentic context actually means inside a real enterprise. Thomas explained it in a way that made it obvious why putting AI on top of messy data will keep giving you unreliable answers, no matter how strong the model is.The part I keep thinking about was on partnerships. No single company owns the full stack today. Thomas was honest about what makes a partnership real versus what makes it just a logo on a slide. That difference matters more than most people admit.My takeaway. The winners in this next phase will not be the ones with the flashiest agents. They will be the ones who took the time to get the boring layers right.#data #ai #BoomiWorld #theravitshow #BoomiAmbassador

I learn the most from people who can explain hard things simply, and my conversation on The Ravit Show with Patricia Moore, AI Field CTO at Boomi, was one of those at Boomi World 2026.Patricia was direct about why so many AI agent pilots stall. Most teams rush to deployment before doing the work on context, data readiness, and governance. That is the gap between the enterprises getting real value and the ones still running experiments.We spent real time on context engineering. Everyone uses the phrase, but very few can explain it. Patricia made it obvious why context is not just another feature. It is what decides whether an agent can be trusted inside a real business. The same thinking applies to hallucinations. The fix is not bigger models. It is better grounding, cleaner data, and tighter checks around the agent.The part I enjoyed most was her view on the shift happening inside enterprises moving from experiments to real outcomes. The leaders getting it right are not chasing AI for the sake of AI. They are tying every initiative to outcomes that actually matter.My takeaway. The companies winning with agents are treating context, governance, and outcomes as the real product. The model is just one part of the story.#data #ai #BoomiWorld #theravitshow #BoomiAmbassador

One of the sharpest architecture conversations I had at Boomi World 2026 on The Ravit Show was with Kenneth Maglio, Principal Architect at World Wide Technology. His view on agentic AI was refreshingly honest. Can't wait to do this again!!!!A lot of teams are still debating whether to prioritize data management or agentic AI. Ken's answer was simple. That debate is the problem. If you separate them, you end up with agents that look impressive in a demo and fall apart in production.We talked about what his team was spending too much time on before Boomi, and how much of that work was not moving the business anywhere. The bigger shift was around data freshness. Ken made the case that this is the single biggest factor in whether an agent can actually be trusted. Stale data is not a small issue. It is the difference between a system that scales and one that quietly erodes confidence across the business.We also got into the measurable outcomes WWT has seen since adopting the Boomi architecture, and what would break if that layer was removed. His answer made it clear how foundational this has become.The takeaway for me. Agentic AI in the enterprise will not be won by whoever has the best model. It will be won by whoever has the cleanest, freshest, most governed data feeding those agents in real time.#data #ai #BoomiWorld #theravitshow #BoomiAmbassador

At Boomi World 2026, I spoke with the amazing Nicole Bradley from Amazon Web Services (AWS) for a conversation on The Ravit Show, and it kept coming back to one idea. Most enterprises are not failing at agentic AI because of the models. They are failing because they are trying to stand up data management and agents without the right partnership underneath!!!!Nicole walked me through the patterns AWS is seeing across customers right now, why Boomi became the partner that made sense, and the use cases where this combination is genuinely hard to beat. We also talked about the roadmap for the next 12 months, and there is a lot coming that customers should be paying attention to.The line that stuck with me. Customers do not need more tools. They need fewer broken seams between them.#data #ai #BoomiWorld #theravitshow #BoomiAmbassador

Quick conversation on The Ravit Show from Boomi World 2026 with John Baker, CIO and CISO at Lexitas. One of the most grounded customer perspectives I have heard this year. Thanks for the amazing insights, John :)John was clear about why Lexitas refused to treat data management and agentic AI as separate projects, what his team stopped wasting time on after Boomi, and why agent governance is the part most enterprises underestimate. Agents are only predictable when the layer beneath them is.My takeaway. The architecture decision is the AI decision.#data #ai #BoomiWorld #theravitshow

For ASEAN CIOs in 2026, the AI paradox is clear: budgets are rising, yet financial returns are not. With almost half the region scaling AI beyond pilots, we have hit a "data wall". The shift to agentic AI has made integration the new control plane. To move from ambition to monetisation, leaders must stop managing data in silos and start activating it in real-time across finance, supply chains, and customer systems. Without a unified data fabric that ensures governance and trust, autonomous agents cannot operate safely at scale. Data activation is no longer an IT project; it is the core strategy for turning AI spend into EBIT.Joining us to clear the cobwebs of this data wall, is Mr David Irecki, chief technology officer for Asia Pacific & Japan at Boomi.David, welcome back to PodChats for FutureCIO.1.       Boomi cites an interesting statistic: 95% of organisations struggle with AI ROI, yet you argue the models are ready. Where are ASEAN CIOs getting stuck—and why are data quality and integration now the real villains, not the AI? (Singaproe report)2.       Beyond lakes and dashboards, what does "data activation" mean in practice? How do we put live, trusted data into the flows AI agents rely on?3.       As Agentic AI explodes in 2026, why should CIOs see APIs and integration as the new "control plane" for security, privacy, and sovereign AI?4.       According to Boomi, with 90% of staff using AI informally, how do we enforce data governance without killing speed? Can the integration layer automate policy enforcement?5.       Define data debt. How do we build a business case for killing "data debt" and moving from brittle scripts to reusable, AI-ready integrations?6.       According to Salesforce, 96% of CIOs say success hinges on integrating AI into the flow of everyday work. Where do ASEAN CIOs see the fastest payback for data activation—finance, supply chain, or customer service?7.       How does activating data for a swarm of autonomous agents differ from powering a simple chatbot? How do we make different vendors' agents talk to each other?8.       If Asia has hit a data wall, what are the three non-negotiables for CIOs to turn AI spend into EBIT (Earnings Before Interest and Taxes) by 2026?9.       Takeway for CIO to get their CIO initiatives from delivering disappointing results to powering the business innovations? 

Today’s headline news for Canadian IT solution providers: Zscaler launches Project AI-Guardian: Zscaler announced a new initiative on Tuesday called Project AI-Guardian, partnering with global systems integrators Cognizant, EY, HCL, Infosys, TCS, and Wipro to help enterprises secure AI deployments. The program leverages Zscaler’s AI Protect portfolio – covering AI asset discovery, access controls for AI services, and real-time guardrails for AI infrastructure – to address what the company describes as the security blind spots created by autonomous AI agents acting with delegated permissions. According to CEO Jay Chaudhry, the initiative is designed to “ensure that AI adoption does not come at the cost of security.” Jamf names Beth Tschida CEO: Jamf named Beth Tschida as chief executive officer, effective immediately, on May 20. Tschida moves from interim CEO and former CTO to the permanent role, becoming the first woman to lead the company in its more than 20-year history. The appointment comes roughly four months after Francisco Partners completed its $2.2 billion acquisition of Jamf in January 2026; Tschida’s tenure as CTO saw Jamf’s security ARR grow 40 percent year over year to represent more than 30 percent of total revenue. Aura + TD SYNNEX: Aura Business has partnered with TD SYNNEX to bring its identity-centric BYOD security solution to MSPs through distribution. Aura debuted the offering at MSP Summit 2026, with Omdia research finding that demand for BYOD security among MSP clients is surging. SOCRadar AI agents: SOCRadar launched an AI Agent Marketplace and Identity Intelligence platform designed to help security teams automate detection and response against identity-driven attacks, positioning the agents as additions to existing security stacks. Akamai acquires LayerX: Akamai Technologies announced a definitive agreement to acquire browser security vendor LayerX, extending its workforce security strategy with browser-level visibility and governance over AI usage. Cisco Canada marketing: Jennifer Rideout has rejoined Cisco as head of Canada marketing, noting on LinkedInthat she is about a week into the new role. Read Full Transcript Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Thursday, May 21, 2026, and here’s what’s happening in the channel today. On Tuesday, Zscaler announced Project AI-Guardian – a formalized initiative that brings together six major global systems integrators under a common framework for securing enterprise AI deployments. The partners are Cognizant, EY, HCL, Infosys, TCS, and Wipro, and together they’ll leverage Zscaler’s AI Protect portfolio to deliver what the company describes as a full 360-degree view of an organization’s AI footprint. The program is designed to address what Zscaler calls the “agentic world” problem – the reality that AI models don’t just respond to queries anymore. They act autonomously, connect to data and apps, trigger downstream actions with delegated permissions, and in doing so, create blind spots that traditional security tools simply aren’t built to see. According to Zscaler’s CEO Jay Chaudhry, “AI adoption does not come at the cost of security” – and the GSI partnerships are meant to scale that posture across the largest enterprises in the world. The GSI framing is enterprise-scale, but the underlying framework – discover your AI assets, control who accesses AI services, secure what AI builds and runs – is a blueprint that maps directly onto the conversations solution providers at every level are already having with their clients. As more organizations ask harder questions about what’s actually running on their networks, the partners who have this conversation early will have an edge. Jamf named Beth Tschida as its permanent chief executive officer yesterday, effective immediately. Tschida has served as interim CEO since March, and before that was the company’s chief technology officer. She becomes the first woman to lead Jamf in its more than 20-year history. The announcement lands about four months after Francisco Partners completed its $2.2 billion acquisition of Jamf in January, taking the company private. Strosahl, who shepherded that transition, has stepped away. Brian Decker of Francisco Partners cited Tschida’s “technical depth, operational discipline, and strategic vision” in a statement. The headline number from her CTO tenure: Jamf’s security ARR grew 40 percent year over year under her watch and now accounts for more than 30 percent of total company revenue. Her stated priorities going forward include autonomous device management, opening the platform for third-party AI tools, and building out an AI governance layer – all of which signal where the product is heading. The Francisco Partners angle is worth a second look. The PE firm also owns SonicWall, BeyondTrust, and Boomi – a portfolio of security and integration assets that, taken together, creates interesting possibilities for cross-platform plays. Channel partners who move Apple devices, or who sell into environments where Apple is a growing presence, should keep an eye on where this leadership takes the product roadmap. In Brief – Aura Business partners with TD SYNNEX to bring its identity-centric BYOD security solution to MSPs through distribution. SOCRadar launches an AI Agent Marketplace and Identity Intelligence platform targeting identity-driven cyberattacks. Akamai announces a definitive agreement to acquire LayerX, a browser-based AI usage control and workforce security vendor. Jennifer Rideout has rejoined Cisco as head of Canada marketing. Full details and links in the show notes or the blog post. Later today on In The Channel, Anthony Tanoury from Dell Technologies joins me to talk about how distribution has become the primary on-ramp for mid-market AI, and what that means as Dell’s Modern Partner Platform takes shape. It’s the last of three conversations I had at Dell Technologies World this week and a good one to end on. And if you haven’t caught Wednesday’s episode yet, Rob Emsley from Dell makes the case that the backup is the target – and why data protection needs to be reframed as a full cyber resilience practice. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.

Today’s headline news for Canadian IT solution providers: Acronis has launched Cyber Frame, a new hyperconverged infrastructure (HCI) and infrastructure-as-a-service (IaaS) platform built specifically for managed service providers. The platform allows MSPs to build and deliver infrastructure services with native integration into Acronis’ cyber protection and remote monitoring and management (RMM) tools. Acronis says it is designed to give service providers an alternative to legacy virtualization and hyperscaler cost pressures, offering better margin control and options for both fully hosted and partner-hosted deployments. Citrix has introduced Citrix Platform Flex, a new persona-based secure access model intended to help organizations move away from static, one-size-fits-all IT delivery. The new platform is built to align IT resources more closely with evolving business needs, delivering secure access, managed services, and observability with more flexible and predictable pricing. It acknowledges that different worker profiles require vastly different access parameters in a modern hybrid environment. Upwind has launched its new AI Agentic Pack, adding agent-driven capabilities to its cloud security platform. The tools are designed to help security teams investigate threats, validate active exposures, and prioritize remediation, leaning into the growing industry trend of using autonomous agents to compress the window between threat discovery and response. Nerdio vice president of MSP sales Will Ominsky warned in a Redmond Channel Partner interview today that MSPs who figure out how to monetize AI by the end of 2026 will grab massive market share. He noted that partners who only experiment with AI internally—without building client-facing, revenue-generating AI practices—will be left behind in the coming wave of SMB adoption. Boomi and Red Hat have announced a strategic collaboration to deliver an integrated stack for deploying agentic AI at scale. The partnership combines Boomi’s Agentstudio with Red Hat AI, providing organizations with a framework to orchestrate AI workflows securely without losing control of their data governance or allowing cloud consumption costs to spiral. The U.S. Department of Homeland Security is reportedly scrutinizing Instructure after a massive ransomware attack disrupted its Canvas online learning platform. The breach highlights the growing vulnerability of critical SaaS infrastructure and the widespread supply chain impact when platforms are targeted during peak usage periods, such as university finals week. Canadian cybersecurity provider Plurilock has announced CAD $1.13 million in new critical services contracts. The wins reflect continued momentum for the AI-native security firm as it expands its footprint across both public and private sector environments, capitalizing on the growing need for identity-centric security. [powerpresss] Read Full Transcript Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Thursday, May 14, 2026, and here’s what’s happening in the channel today. Acronis has launched Cyber Frame, a new hyperconverged infrastructure and infrastructure-as-a-service platform built specifically for managed service providers. The launch comes at a critical time for the channel, as many service providers are actively seeking alternatives to legacy virtualization platforms following recent industry shakeups and pricing model changes. Cyber Frame allows MSPs to build and deliver infrastructure services with native, seamless integration into Acronis’ existing cyber protection and remote monitoring and management tools. Rather than dealing with the unpredictable costs of hyperscale public clouds or the complexity of managing disparate vendor stacks, MSPs can use Cyber Frame to consolidate their service delivery. Acronis says the platform is designed to give service providers significantly better margin control and simplified management. It offers flexible deployment options, allowing partners to choose between a fully hosted model managed by Acronis, or a partner-hosted deployment running on the MSP’s own hardware in their local data center. By combining compute, storage, networking, and security into a single unified platform, Acronis is positioning Cyber Frame as a way for MSPs to scale their infrastructure offerings profitably while maintaining the tight security posture that modern SMB clients demand. Citrix has introduced Citrix Platform Flex, a new persona-based secure access model intended to help organizations move away from static, one-size-fits-all IT delivery. In today’s hybrid work environment, the access requirements for a call center employee, a traveling executive, and a remote software engineer are vastly different. Citrix built Platform Flex to recognize these distinctions, allowing IT teams to align resources, security controls, and application delivery specifically to the varying needs of different worker profiles. The new platform delivers secure application access, managed services, and comprehensive observability under a model designed for more flexible and predictable pricing. By shifting away from rigid licensing structures that often force companies to over-provision resources for basic users, Citrix aims to help enterprises optimize their cloud and infrastructure spending. Platform Flex also incorporates advanced analytics and security policies that adapt in real-time based on user behavior and location. For channel partners, this persona-driven approach provides a clear framework to help enterprise customers rationalize their IT investments, simplify the management of distributed workforces, and ensure that security protocols do not impede productivity for end users who require high-performance access to specialized applications. Upwind has launched its new AI Agentic Pack, adding autonomous, agent-driven capabilities to its cloud security platform. As cloud environments grow increasingly complex and security operations centers face unprecedented alert fatigue, the cybersecurity industry is rapidly shifting toward agentic AI to help manage the load. Upwind’s new tools are specifically designed to help security teams autonomously investigate threats, validate whether theoretical vulnerabilities are actually exposed to active exploitation, and prioritize remediation efforts based on real-world risk. Instead of simply generating more alerts for human analysts to sift through, the Agentic Pack leverages artificial intelligence to actively investigate the root cause of an incident, map the attack path across cloud infrastructure, and propose actionable fixes. This launch leans heavily into the growing necessity of using autonomous agents to drastically compress the window between threat discovery and response. With malicious actors utilizing AI to accelerate their attacks, defenders require matching speed to counter them. For managed security service providers, Upwind’s agentic capabilities offer a pathway to scale their operations, handle a higher volume of telemetry without adding headcount, and provide faster threat containment for their clients. In brief: Nerdio vice president of MSP sales Will Ominsky warned in a Redmond Channel Partner interview today that MSPs who figure out how to monetize AI by the end of 2026 will grab massive market share.  Boomi and Red Hat have announced a strategic collaboration to deliver an integrated stack for deploying agentic AI at scale.  The U.S. Department of Homeland Security is reportedly scrutinizing Instructure after a massive ransomware attack disrupted its Canvas online learning platform.  And Canadian cybersecurity provider Plurilock has announced 1.13 million dollars in new critical services contracts.  Later today on in the channel, we’re talking eCrime Reports and Threat Intelligence with Camerous Tousley and Pedro Kertzman of ESET. And if you missed it yesterday, check out my conversation with Auvik’s Steve Petryschuk on the gap between MSPs’ expectation around AI, and the reality they have realized to date. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.

Marketing exists to generate pipeline and create bookings, full stop. In this episode of Content Amplified, Mike Madden, VP of Marketing at Boomi, makes the case that the marketers who win are the ones who understand every part of the revenue engine, not just the part they own. Mike draws on his years running demand gen at Marketo and then across the Americas at Adobe to explain why "pretty" content is the fastest way to lose your headcount, and why a five-out-of-eight lead score on a paid search infographic can matter more than another glossy asset. He shares the race car analogy he uses with his team, the embarrassing moment in front of Adobe's global head of sales that taught him to actually understand the AOP, and his take on AI: it will not replace your brain, and it cannot learn your business for you. He also has pointed advice for marketers early in their careers about why hard skills like Excel, Salesforce, and marketing automation still matter more than prompt fluency. Tune in for a grounded, no-fluff conversation about what data-driven marketing actually looks like.About MikeMike Madden is the VP of Marketing at Boomi, where he runs global demand gen, global digital marketing, the website, and marketing operations. He started his career in financial services marketing before joining Marketo in 2015, where he ran demand gen for North America through the Adobe acquisition and went on to lead demand gen across the Americas at Adobe for several products, including Marketo. Mike believes marketing's job is to help sales score, and that the marketers who win are the ones who study their business until they know how every system, definition, and process fits together.Show Notes- Connect with Mike on LinkedIn: https://www.linkedin.com/in/michaelmadden824/Text us what you think about this episode!

Boomi CEO Steve Lucas reveals how to flip AI's 95% failure rate to your favour with practical integration strategies, real-world agent deployments, and an AWS partnership.Topics Include:Boomi solves the forever problem of complexity across applications and systemsTwenty-five thousand customers use Boomi to automate anything and connect everythingBoomi moves more data per second than the entire Visa networkAI agents now integrate systems through simple commands, no coding requiredAgentic platform built with AWS creates custom AI agents in real timeUse cases include expense monitoring and heart defibrillator battery checks dailyAutomotive companies use AI agents to assess tariff risks across supply chainsHospitals deploy agents to detect patient falls and alert medical professionals immediatelyControl Tower co-innovated with AWS monitors and manages all AI agents centrallyDeterministic processes like payroll shouldn't use AI, probabilistic challenges shouldNinety-five percent of AI projects fail due to data access problemsAgentic workshops help companies identify high-ROI opportunities and achieve AI successParticipants:Steve Lucas – Chairman & CEO, BoomiSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Welcome to the What's Next! Podcast with Tiffani Bova. As we approach the end of the year, I'm pausing to look back and celebrate all of the wonderful guests that I had the honor of speaking to on the show. And based on your feedback, many of these guests resonated with you as well so we're giving you another chance to revisit the stories, insights, and lessons you loved most in 2025!   This week, I'm excited to highlight an episode with Steve Lucas.   Steve is a seasoned executive with nearly 30 years of experience in enterprise software leadership. As the CEO of Boomi, he spearheads efforts to connect the world through a transformative technology platform. Previously, he was the CEO of Marketo and iCIMS. At Marketo, he transformed the company's sales, marketing, and product strategies, culminating in its 2018 acquisition by Adobe. At iCIMS, he introduced the Talent Cloud, enabling 40% of the Fortune 100 to hire millions of employees annually. Earlier roles included senior executive positions at Adobe, SAP, Salesforce, and BusinessObjects.      THIS EPISODE IS PERFECT FOR…business leaders navigating digital transformation, especially those eager to understand how AI will reshape organizations.  TODAY'S MAIN MESSAGE…it's easy to get swept up in the hype around AI, but what does transformation actually look like in practice? Steve explores the dramatic shift AI is bringing to enterprise software, from the rise of AI agents to the decline of traditional user interfaces. He shares how businesses can prepare for an agentic future where success will depend on collaboration between humans and AI.  KEY TAKEAWAYS:  - Human resistance to change is often about trust and not capability  - AI won't replace humans but augment them (if we allow it)  - Leaders should focus less on tools and more on the business outcomes they unlock    WHAT I LOVE MOST… Steve's reminder that in a world full of hype and disruption, trust is still the currency that matters most. No matter how powerful AI becomes, if people don't trust it—or the companies using it—it won't deliver value.    Running Time: 28:44      Subscribe on iTunes       Find Tiffani Online:  LinkedIn  Facebook  X      Find Steve Online:  LinkedIn    Steve's Book:  Digital Impact: The Human Element of AI-Driven Transformation 

What does it really mean to keep humans at the center of AI when agentic systems are accelerating faster than most organizations can govern them? At AWS re:Invent, I sat down with Michael Bachman from Boomi for a wide-ranging conversation that cut through the hype and focused on the harder questions many leaders are quietly asking. Michael leads technical and market research at Boomi, spending his time looking five to ten years ahead and translating future signals into decisions companies need to make today. That long view shaped a thoughtful discussion on human-centric AI, trust versus autonomy, and why governance can no longer be treated as an afterthought. As businesses rush toward agentic AI, swarms of autonomous systems, and large-scale automation, Michael shared why this moment makes him both optimistic and cautious. He explained why security, legal, and governance teams must be involved early, not retrofitted later, and why observability and sovereignty will become non-negotiable as agents move from experimentation into production. With tens of thousands of agents already deployed through Boomi, the stakes are rising quickly, and organizations that ignore guardrails today may struggle to regain control tomorrow. We also explored one of the biggest paradoxes of the AI era. The more capable these systems become, the more important human judgment and critical thinking are. Michael unpacked what it means to stay in the loop or on the loop, how trust in agentic systems should scale gradually, and why replacing human workers outright is often a short-term mindset that creates long-term risk. Instead, he argued that the real opportunity lies in amplifying human capability, enabling smaller teams to achieve outcomes that were previously out of reach. Looking further ahead, the conversation turned to the limits of large language models, the likelihood of an AI research reset, and why future breakthroughs may come from hybrid approaches that combine probabilistic models, symbolic reasoning, and new hardware architectures. Michael also reflected on how AI is changing how we search, learn, and think, and why fact-checking, creativity, and cognitive discipline matter more than ever as AI assistants become embedded in daily life. This episode offers a grounded, future-facing perspective on where AI is heading, why integration platforms are becoming connective tissue for modern systems, and how leaders can approach the next few years with both ambition and responsibility.  Useful Links Learn More About Boomi Connect with Michael Bachman Algorithms to Live By: The Computer Science of Human Decisions Tech Talks Daily is sponsored by Denodo

Steve Lucas is the CEO of Boomi, a leading integration and automation platform. Before joining Boomi, Steve served as CEO of Marketo, where he led the company's transformation from a $1.6 billion valuation to its acquisition by Adobe for $4.75 billion in just 24 months—one of the largest software acquisitions in history. Prior to that, he held executive leadership roles at SAP and Salesforce, and cut his teeth in technology at Microsoft in the early 1990s. Steve is the author of "Digital Impact," exploring how AI and intelligent automation are reshaping business and society. A passionate advocate for diabetes research after being diagnosed with type 1 diabetes at 26, he serves on the board of the Children's Diabetes Foundation and recently established an endowed chair for diabetes research at the University of Colorado. Known for his curiosity, authenticity, and unwavering commitment to customers—he makes it a rule to speak with at least one customer every single day—Steve brings a unique blend of technical expertise and people-first leadership to one of technology's most transformative eras. In this episode, we discuss: How Bill McDermott's simple advice—"just be you"—freed Steve from a decade of self-doubt and changed his career trajectory The power of saying "no": How Steve took Marketo from $1.6B to $4.9B by doing less, not more Why talking to a customer every single day is non-negotiable and how it transforms your entire organization Turning adversity into strength: Steve's journey with type 1 diabetes and the moment that changed his perspective forever The future of AI in the workplace and why we're the last generation of managers to manage only humans

Algorithms and automations have been buds for a decade plus.

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships 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/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Vice President of Solution Engineering Chris Timmerman reveals how Boomi's integration platform evolved into a no-code AI agent builder on AWS, serving 22,000 enterprises while solving the 95% failure rate in AI production deployments.Topics Include:Chris Timmerman shares his 9-year journey from Field CTO to VP Solution Engineering at BoomiBoomi connects cloud and on-premise systems, helping enterprises move data seamlessly since early 2000sThe platform serves 22,000+ customers, from order-to-cash processes to complex M&A integrationsNew CEO Steve Lucas pivoted Boomi toward generative AI when ChatGPT emergedBoomi approaches AI three ways: internal automation, product enhancement, and customer enablementAI Agent Studio lets users build agents on AWS Bedrock without writing codeAgent Garden marketplace allows partners to share specialized agents for Salesforce, NetSuite, and moreChris reveals 95% of enterprise AI projects fail to reach production due to data issuesAWS partnership since 2018 provides infrastructure plus hands-on engineering collaboration for problem-solvingHackathons with AWS engineers generate excitement and innovative solutions for customer challengesChris advises new AWS partners: "Don't be afraid to ask for help" and be transparentFuture vision: Partner with market leaders like AWS rather than reinvent foundational AI frameworksParticipants:Christopher Timmerman – Vice President, Solution Engineering, BoomiSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

How do you manage 100,000+ renewals or scale AI across thousands of CSMs? CS leaders share how they're tackling their biggest challenges and using technology to drive retention, adoption, and efficiency.In this episode of the [Un]churned Podcast, Josh Schachter sits down with customer success leaders at the 2025 Gainsight Pulse Conference in Las Vegas to explore how they're tackling their biggest challenges - from managing massive renewal volumes to driving adoption at scale. Featuring CS executives from Rockwell Automation, Fleetio, Handshake, Boomi, Dellteck, and SAP, this episode reveals practical strategies for using AI to save time, improve efficiency, and deliver better customer outcomes.What you'll learn:1. How Rockwell Automation's CS team manages 100,000+ annual renewals with 300 team members across 85 recurring revenue products2. Why AI-powered engagement signals are replacing time-based customer outreach3. The importance of building trust in AI-powered insights before teams will adopt them4. How to aggregate and visualize data from multiple systems to tell a coherent story to stakeholders5. Why change management is critical when introducing new product features that alter established workflows6. How relationship-level insights can reveal the full picture of multi-product customer health---Check out the Key Takeaways & Transcripts: https://www.gainsight.com/presents/series/unchurned/---Where to Find the guests:- Angel Rogers - https://www.linkedin.com/in/angel-rogers-leader/- Sean MacPherson- https://www.linkedin.com/in/seanmacpherson- Tiffany Taylor - https://www.linkedin.com/in/tiffany-taylor-learner/- Matt Krebsbach - https://www.linkedin.com/in/matt-krebsbach-694117163/- Charlie Ferraro - https://www.linkedin.com/in/charlesferrao/- Margo Martin - https://www.linkedin.com/in/margomartin-/- Tony Pante - https://www.linkedin.com/in/tony-pante-9b5419/---Where to Find Josh: LinkedIn: https://www.linkedin.com/in/jschachter/--- In this episode, we cover:0:00 - Introduction 0:27 - Angel Rogers: Managing 100K renewals at Rockwell Automation5:32 - Sean MacPherson: Aggregating insights from multiple systems9:48 - Tiffany Taylor: Speed up feedback loops and time-to-value14:09 - Matt Krebsbach: Prioritization, delivering outcomes and data enablement 18:47 - Charlie Ferraro: Retention, renewals and efficiency20:35 - From Spidey sense to AI-powered engagement analysis21:47 - Measuring adoption in agentic products22:07 - Margo Martin: Stay ahead with real-time defect alerts25:17 - The value of relationship-level insights26:10 - Tony Pante: Driving adoption across 2,000 CSMs at SAP29:35 - Using AI for translation, content creation, and enablement---Referenced:• Gainsight Pulse Conference: https://gainsightpulse.com/europe/• Rockwell Automation: https://www.rockwellautomation.com/• Fleetio: https://www.fleetio.com/• Handshake: https://joinhandshake.com/• Boomi: https://boomi.com/• Dellteck: https://www.deltek.com/en• SAP: https://www.sap.com/• Staircase AI: https://www.gainsight.com/staircase-ai/• Reef AI: https://www.reef.ai/• Gong: https://www.gong.io/de/• SAP Joule: https://www.sap.com/products/artificial-intelligence/ai-assistant.html

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview hereMatt McLarty - CTO at Boomi & Co-Author of "Unbundling the Enterprise"Erik Wilde - Principal Consultant at INNOQRESOURCESMatthttps://bsky.app/profile/mattmclartybc.bsky.socialhttps://x.com/MattMcLartyBChttps://www.linkedin.com/in/mattmclartybcErikhttps://www.linkedin.com/in/erikwildehttps://github.com/dretLinkshttps://www.hbs.edu/faculty/Pages/profile.aspx?facId=6417https://cloud.google.com/blog/products/application-development/richard-seroter-on-shifting-down-vs-shifting-lefthttps://platformengineering.org/blogDESCRIPTIONMatt McLarty and Erik Wilde explore the nuanced world of platform engineering, challenging conventional approaches and highlighting the critical importance of aligning technological capabilities with business outcomes. They discuss the evolution from DevOps, the role of APIs, and the need to create flexible, reusable technological building blocks that drive true organizational innovation.RECOMMENDED BOOKSStephen Fishman & Matt McLarty • Unbundling the EnterpriseCarliss Y. Baldwin • Design Rules, Vol. 2Matthew Skelton & Manuel Pais • Team TopologiesForsgren, Humble & Kim • Accelerate: The Science of Lean Software and DevOpsKim, Humble, Debois, Willis & Forsgren • The DevOps HandbookGene Kim, Kevin Behr & George Spafford • The Phoenix ProjectCrossing BordersCrossing Borders is a podcast by Neema, a cross border payments platform that...Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Matt McLarty, CTO at Boomi, joins the show to break down what enterprise AI adoption really looks like in 2025. From navigating the hype cycle to identifying practical first steps, Matt shares what separates companies that are seeing value from those stuck in endless pilots. If you're a tech leader wondering how to move beyond experimentation and into measurable outcomes, this episode is your playbook.Key Takeaways• AI adoption is not binary—it's a spectrum, and success depends on linking it to business value, not just “using AI.”• Orientation matters: every company needs an honest assessment of where they are on their digital maturity curve before jumping in.• Small, low-risk bets build the organizational muscle memory required for bigger wins.• The fastest wins often come from augmenting existing automation rather than chasing moonshots.• Companies that succeed treat AI as a tool to solve business problems, not as an end goal.Timestamped Highlights01:38 – Why AI's hype cycle feels like “Mount Everest” compared to cloud and mobile04:50 – Why AI adoption can't be compared to past waves like blockchain or cloud07:36 – The hidden foundation: digital transformation work still matters11:11 – The inversion that changes everything: AI isn't the goal, business outcomes are16:26 – Defining “adoption” as a multi-dimensional spectrum, not a checkbox19:50 – How to recover if your first AI projects fall short28:04 – Building adaptability as a core enterprise competency31:25 – The common traits of companies succeeding with AI right nowA standout moment“AI isn't the end goal—it's just another tool. The real question is, what business problems can we finally solve with it?” – Matt McLartyCall to actionIf this episode gave you a clearer path toward enterprise AI adoption, share it with a colleague and follow the show so you never miss a conversation on where tech leadership is heading.

A new study by Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions and operating a Global Delivery Centre in Ireland, reveals that 1 in 3 aerospace executives believe artificial intelligence (AI) for real-time decision-making will be the biggest driver of change in aircraft manufacturing by 2035. The TCS Future-Ready Skies Study 2025 examines how aerospace companies are preparing for a digitally enabled and AI-powered future across manufacturing, maintenance, mobility, and supply chains. The report captures an industry in transition, with companies increasingly investing in intelligent, sustainable operations. It highlights how manufacturers expect human involvement to remain essential in 60% of their production processes, on average, reinforcing a hybrid future where human expertise and AI work together. While AI leads the charge, aerospace executives also identified digital twins and robotics as the key enablers for transformation. The study surveyed over 323 senior aerospace executives, including aerospace manufacturers, Advanced Air Mobility (AAM) companies, Manufacturing, Repair and Overhaul (MRO) providers, and electric vertical takeoff and landing (eVTOL) companies across Europe and North America. With the aerospace market projected to surpass $1 trillion by 2030, and the MRO segment alone expected to reach $137 billion, the study offers a crucial pulse check on where the industry stands and a look into the future. It also aligns with key developments such as the anticipated certification of eVTOL aircraft and the increasing regulatory and operational complexity across global supply chains. Steve Lucas, Chairman and CEO, Boomi, said, "The Future-Ready Skies Study shows that the aerospace industry is at an inflection point where the promise of AI depends on getting the fundamentals right. Change only happens, however, at the speed of trust and that trust begins with data. Agentic AI can only succeed when it's built on a strong foundation of connected, reliable data. By integrating and connecting everything across their complex ecosystems, companies can accelerate decisions, scale innovation, and turn complexity into a true competitive advantage." Key takeaways from the survey: A striking 63% of aerospace executives are open to adopting agentic AI to manage supply chains, but only 6% currently do so, underscoring both readiness and the innovation gap. On average, respondents anticipate only 40% of their manufacturing operations to be lights out (a manufacturing process that uses a high level of automation), requiring minimal human intervention, within the next 5-7 years. Over half (51%) of MRO providers, on average, anticipate a return on investment in advanced technology in five years or sooner, with nearly two-thirds (64%) expecting predictive analytics and agentic AI to deliver measurable ROI in that same timeframe. Only a third (34%) of AAM companies cited "public acceptance" as an obstacle to such services as urban air taxis; in fact, 70% are already building commercial platforms, reflecting industry momentum. Just 5% of MRO executives say their digital MRO strategy is already sufficiently scaled for the industry's next phase. For the rest, 80% anticipate a negative impact from rising operational costs, increased downtime, revenue, and customer churn if their digital MRO strategies fail to scale in the next three years. Digital thread integration is underway, with 59% of manufacturers reporting at least partial implementation, though full lifecycle integration remains elusive. Anupam Singhal, President, Manufacturing, TCS, said, "The aerospace industry has always been one where ambition is matched by precision and safety. Today, ambition is redefined as AI moves from supporting operations to shaping enterprise strategy - advancing passenger experience, safety, and sustainability. At TCS, we see this as a leadership opportunity to help aerospace enterprises build resi...

After 9 years of working with SaaS companies on product-led growth, we've tried everything - consulting, services, cohorts, bestselling books. We've seen what works, what doesn't, and what most companies get wrong. The breakthrough came when we realized something: companies don't need more advice. They need someone to actually do the work with them. In this episode, Wes pulls back the curtain on exactly how ProductLed works as your PLG partner, revealing the proven system that's powered over $1 billion in self-serve revenue and why most companies fail at product-led growth. Key Highlights: 01:11: Why ProductLed exists and what we actually do01:52: The $1M+ revenue guarantee (and what it takes to qualify)03:00: The winning formula: System + Implementation + Results04:25: The full-stack PLG system breakdown07:33: Why you shouldn't waste time on random LinkedIn experiments09:09: The embedded operator approach vs. hiring specialists14:48: The 3-stage ProductLed System (Start, Build, Scale)17:20: Your hands-on implementer: Cross-functional VP of Growth19:23: The 90-day results guarantee (unheard of in consulting)20:00: What a typical engagement looks like (the full laundry list)27:00: Why DIY PLG takes 2-3x longer and costs more long-term Your product has the potential to sell itself. This is how you unlock it. Resources: ✨ Book your free Product-Led Growth Session

Our guest this week gets straight to the heart of what actually makes AI work in practice: seamless data integration and moving at what she calls "the speed of trust."Ann Maya is the EMEA Chief Technology Officer at Boomi, a company that connects applications, devices, and systems to help organisations navigate digital transformation. With over 20 years in software—from developer to solution architect to senior leadership—Ann has a rare ability to bridge technical complexity with business reality.In this conversation, we explore why most organisations struggle to scale AI beyond pilots, and why the answer isn't just about the technology itself. Ann shares:How a container ship insurance company transformed their underwriter workflow from three days to 15 minutes—and why their legal team immediately wanted inWhy she believes your company's data is your "competitive secret sauce" and how to protect it while still leveraging AI's powerThe psychology behind why change happens at "the speed of trust" and how smart companies bring their people along on the AI journeyReal examples of what she calls "creative destruction"—and why the next revolution might come from the most unexpected placesAnn also reveals how Boomi has embedded 11 different AI agents into their own platform and shares a fascinating perspective on the current AI race: who's winning, who's getting left behind, and what you can control when everything feels like it's moving at breakneck speed.Whether you're wondering how to turn AI skeptics into advocates or trying to understand why your organisation's data strategy matters more than ever, this conversation offers practical insights from someone who's helping companies navigate this transformation every day.Enjoy this episode with the innovative and customer-focused Ann Maya. Useful Links Ann on LinkedInBoomi home pageBoomi - Discover Hosted on Acast. See acast.com/privacy for more information.

Mandy Dhaliwal, CMO at Nutanix, shares her journey transforming a technical infrastructure company into a leader in hybrid multi-cloud solutions, driving market value from $5 billion to $20 billion through strategic marketing and positioning.• Simplifying complex technology messaging from "hybrid multi-cloud" to the customer-friendly "run anything anywhere"• Implementing agentic AI on the Nutanix website to provide 24/7 global customer support and real-time market feedback• Building credible brand identity by standing out with bold visual choices while focusing on substance and customer value• Aligning marketing with broader business objectives through cross-functional collaboration and shared revenue goals• Empowering internal technical experts and executives as marketing channels and amplifying authentic customer stories• Balancing work and family by taking five years off to raise her son while maintaining career momentum• Moving from imposter syndrome to "empowerment syndrome" by educating stakeholders about marketing's strategic valueEver wonder how a tech company transforms from a $5 billion infrastructure provider to a $20 billion cloud leader? The secret might just be in its marketing strategy.Mandy Dhaliwal, CMO at Nutanix, pulls back the curtain on her remarkable journey reshaping how enterprises approach hybrid multi-cloud solutions and AI deployment. With 25 years of technology marketing experience and a Level Two sommelier certification, Mandy brings unique perspective to brand transformation and customer engagement."When I arrived, everyone talked about hybrid multi-cloud, but I said 'I don't know a single CIO who wakes up wanting to buy that,'" Mandy reveals. Instead, she championed clear, customer-centric messaging: "One platform to run apps and data anywhere." This fundamental shift from technical jargon to value-driven communication helped quadruple Nutanix's market value.She shares candidly about elevating authentic customer voices, breaking through the "sea of sameness" with bold branding decisions, and building cross-functional alignment between marketing, sales, and product teams.Beyond marketing strategy, Mandy offers refreshing insights on work-life integration, including her decision to take five years off to raise her son without missing a career beat. Check out Nyla, the AI agent at nutanix.com, and see how they're making AI deployment simpler for enterprises with our "run anything anywhere" platform.Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Mandy Dhaliwal: https://www.linkedin.com/in/1mandydhaliwal/As the Chief Marketing Officer for Nutanix, she leads the global marketing strategy.  She's been a key leader in Nutanix's remarkable progress, quintupling its market value from roughly $5B to $20B, proving that marketing, branding, positioning has a hand in driving valuation.Before joining Nutanix, Dhaliwal held the CMO position at Boomi and Fugue, and she has also been a senior marketing leader at BlazeMeter, SOASTA, EMC, and Legato Systems.She attended Simon Fraser University for undergrad and holds an MBA in Technology Management from Pepperdine University and notably, a level two certification from the Court of Master Sommeliers.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: spark@position2.com

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.    Try OCI for free at http://oracle.com/eyeonai   What if the future of enterprise wasn't human-driven, but agent-driven? In this groundbreaking episode, Steve Lucas, CEO of Boomi, unveils a radical vision for the next era of business: one where AI agents will power 75% of enterprise operations by 2026. From eliminating traditional user interfaces to transforming legacy systems with no-code automation, Steve walks us through how Boomi is building the infrastructure for a self-driving enterprise, and why businesses that fail to prepare will be left behind.   This episode will shift your perspective on where the enterprise is headed and who (or what) will be running it. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Welcome to the What's Next! Podcast with Tiffani Bova.    This week, we hear from Steve Lucas. Steve is a seasoned executive with nearly 30 years of experience in enterprise software leadership. As the CEO of Boomi, he spearheads efforts to connect the world through a transformative technology platform. Previously, he was the CEO of Marketo and iCIMS. At Marketo, he transformed the company's sales, marketing, and product strategies, culminating in its 2018 acquisition by Adobe. At iCIMS, he introduced the Talent Cloud, enabling 40% of the Fortune 100 to hire millions of employees annually. Earlier roles included senior executive positions at Adobe, SAP, Salesforce, and BusinessObjects.    THIS EPISODE IS PERFECT FOR…business leaders navigating digital transformation, especially those eager to understand how AI will reshape organizations.   TODAY'S MAIN MESSAGE…it's easy to get swept up in the hype around AI, but what does transformation actually look like in practice? Steve explores the dramatic shift AI is bringing to enterprise software, from the rise of AI agents to the decline of traditional user interfaces. He shares how businesses can prepare for an agentic future where success will depend on collaboration between humans and AI.   KEY TAKEAWAYS: Human resistance to change is often about trust and not capability AI won't replace humans but augment them (if we allow it) Leaders should focus less on tools and more on the business outcomes they unlock   WHAT I LOVE MOST…Steve's reminder that in a world full of hype and disruption, trust is still the currency that matters most. No matter how powerful AI becomes, if people don't trust it or the companies using it, it won't deliver value.   Running Time: 28:44    Subscribe on iTunes     Find Tiffani Online: LinkedIn Facebook X    Find Steve Online: LinkedIn   Steve's Book: Digital Impact: The Human Element of AI-Driven Transformation  

Only 3% of B2B buyers actually want to talk to sales before trying your product. So why are most SaaS companies still structuring their entire go-to-market around that tiny minority?  Because they don't know how to execute it without destroying their current revenue. It's time to flip the script. In this episode, Wes breaks down the complete 7-part framework for transforming your business from sales-led to product-led, plus reveals why 85% of PLG transformations fail and how to avoid those fatal mistakes. Key Highlights: 01:03: The PLG spectrum - It's not all-or-nothing03:58: The compelling business case for PLG11:28: Why 85% of PLG transformations fail (and how to avoid it)14:15: 6 readiness questions before starting your transformation20:46: Building a CFO-approved business case with real ROI calculations27:29: The complete ProductLed System breakdown29:16: 4 proven strategies to get started without disrupting sales32:04: Boomi case study - How a $4B company made the switch Stop leaving money on the table with outdated sales processes. Use this battle-tested roadmap to unlock millions in hidden revenue while building a more efficient, scalable business that grows without you. Resources:

In ERP this week, Workday announced results for the fiscal 2026 first quarter ended April 30, 2025, Salesforce entered into an agreement to acquire Informatica for approximately $8 billion in equity value, net of Salesforce's current investment in Informatica, QAD announced a new partnership with Boomi, a provider of AI-driven automation, and Red Hat, a provider of open-source solutions, announced Red Hat AI Inference Server, a significant step towards democratizing generative AI across the hybrid cloud.Connect with us!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

This interview was recorded for the GOTO Book Club.gotopia.tech/bookclubRead the full transcription of the interview hereStephen Fishman - Field CTO at Boomi & Co-Author of "Unbundling the Enterprise"Matt McLarty - CTO at Boomi & Co-Author of "Unbundling the Enterprise"Erik Wilde - Principal Consultant at INNOQRESOURCESStephenhttps://x.com/fistsOfReasonhttps://www.linkedin.com/in/stephenhfishmanhttps://github.com/StephenFishmanMatthttps://bsky.app/profile/mattmclartybc.bsky.socialhttps://x.com/MattMcLartyBChttps://www.linkedin.com/in/mattmclartybcErikhttps://www.linkedin.com/in/erikwildehttps://github.com/dretLinkshttps://itrevolution.com/articleshttps://www.hbs.edu/faculty/PagesDESCRIPTIONHow can businesses thrive by embracing optionality through digital transformation?Authors Matt McLarty and Stephen Fishman talk about their book “Unbundling the Enterprise” with Erik Wilde. They highlight the power of APIs and flexible systems in enabling companies to capitalize on unforeseen opportunities, or "happy accidents," and how low-cost experimentation can drive long-term success.The conversation emphasizes that optionality is crucial not only in tech but also in business strategy, urging organizations to view their digital capabilities as part of a broader platform that supports both developer empowerment and revenue growth. With insights on optimization, platform engineering, and the importance of aligning technology with business objectives, the authors offer a roadmap for companies to navigate the future with agility and resilience.RECOMMENDED BOOKSStephen Fishman & Matt McLarty • Unbundling the EnterpriseCarliss Y. Baldwin • Design Rules, Vol. 2Matthew Skelton & Manuel Pais • Team TopologiesForsgren, Humble & Kim • Accelerate: The Science of Lean Software and DevOpsKim, Humble, Debois, Willis & Forsgren • The DevOps HandbookMik Kersten • Project to ProductAndrew Harmel-Law • Facilitating Software ArchitectureBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Join this special DM Radio episode as we explore the latest innovations at Boomi, live from Boomi World in Dallas. Host Eric Kavanagh chats with Mani Gill, Boomi's VP of Data and AI, about the company's bold shift toward AI orchestration and the launch of Agent Studio. He's joined by Ariel Pohoryles of the newly acquired Rivery team, who shares how their technology strengthens Boomi's data pipeline and connectivity - especially for enterprise mainstays like SAP. With a focus on seamless integration and AI-driven automation, Boomi is redefining the future of enterprise tech.

The endless excitement around Agentic AI might seem to eclipse the traditional blocking and tackling of data management, but don't be fooled. The fundamentals of working with data are now more important than ever. If anything, the lure of AI puts added pressure on teams to button down their data pipelines and move closer to optimal data orchestration, whether for data warehousing, RAG models, or training the next generation of deep learning modules. Register for this episode of InsideAnalysis to learn best practices for getting your data house in order! Host @eric_kavanagh will explain why Responsible AI starts and ends with data quality. He'll be joined by Ariel Pohoryles and Mani Gill of Boomi, who will demonstrate why optimal data flows will be crucial for success with AI. Attendees will learn: the power of data orchestration for optimizing AI why a platform approach to data management is crucial the importance of feeding AI Agents with trusted, real-time data how organizations can overcome data inertia to catch the AI train

Digital Impact and the Human Element of AI-Driven Transformation: Insights from Steve Lucas

Takeaways#AIagents are #autonomous entities that can perceive and act.Human oversight is essential in the initial stages of AI implementation.Data quality and trust are critical for effective AI agents.Guardrails must be integrated into the design of AI agents.Modularity in design allows for flexibility and adaptability.#AI should be embedded in data management processes.Collaboration between data and application teams is vital.SummaryIn this episode of #TechTransformed, Kevin Petrie, VP of Research at BARC, and Ann Maya, EMEA CTO at Boomi, discuss the transformative potential of AI agents and intelligent automation in business. They explore the definition of agents, their role in automating processes, and the importance of human oversight. Maya introduces us into the world of AI agents stating that, at its core, it's an autonomous entity within #AIsystems that can perceive its environment. This creates a deep dive into how they evolved from traditional automation to “observe, think, and act” in novel and autonomous ways.Maya addresses AI skepticism by acknowledging its growing autonomy while underscoring the current necessity of human oversight. She also highlights data's crucial influence on an agent's perception and decisions, emphasising the need for quality, trustworthy data in effective AI. Moreover, Maya and Petrie explore AI's practical implications, pointing to Google's agent-to-agent protocol as vital for managing language model interactions and enabling effective communication across diverse agents within complex systems.For the latest tech insights visit: EM360Tech.com

Steve Lucas discusses his book “Digital Impact” and strategies to unlock the true potential of AI. Steve is the CEO of Boomi, a global software company specializing in intelligent integration and automation. He is former CEO at Marketo and has held leadership positions at Adobe, SAP, and Salesforce. Listen for three action items you can use today. Host, Kevin Craine Want to be a guest? DigitalTransformationPodcast.net/guest Want to be a sponsor? DigitalTransformationPodcast.net/sponsor

Steve Lucas is a seasoned enterprise software executive and the CEO of Boomi, leading AI-driven digital transformation. In this episode, he and John Barrows dive deep into the evolving role of AI in business, sales, and leadership.They explore insights from Steve's book, Digital Impact: The Human Element of AI-Driven Tech Transformation, and discuss how AI can actually bring back human connection instead of replacing it. Steve shares why companies and professionals must integrate AI into every aspect of their work—and what happens if they don't. If you're wondering how to stay relevant in an AI-powered world, this is the conversation you need to hear.Connect with John on LinkedIn: https://www.linkedin.com/in/johnbarrows/Connect with John on IG: https://www.instagram.com/johnmbarrows/Check out John's Membership: https://go.jbarrows.com/pages/individual-membership?ref=3edab1 Join John's Newsletter: https://www.jbarrows.com/newsletterConnect with Steve on LinkedIn: https://www.linkedin.com/in/nstevenlucas/ Get Steve's book here: https://boomi.com/content/digital-impact-affiliate-pre-order/

“The average enterprise has over 360 applications running in the cloud today,” Boomi Chairman and CEO Steve Lucas notes to Bloomberg Intelligence senior technology analyst Anurag Rana. “Then, on top of that, the average enterprise is dealing with anywhere from 1,000 to 10,000 difference sources of data.” In this episode of Tech Disruptors, the two take a deep dive into the complexities that frequently require integration platforms such as Boomi. Additionally, Lucas explains the differences between Boomi and its competitors, how agentic AI is creating opportunities for the market and what becomes of software-as-a-service (SaaS) at the end of the day.

The week began with financial results from Workday and Planful. First, Workday announced its results for the fiscal 2025 fourth quarter and full year ended January 31st, 2025. Then, Planful achieved record-breaking bookings in 2024, surpassing its previous annual high and reinforcing its strong growth trajectory. In other news, Aptean announced the signing of a definitive agreement to purchase Germanedge, a provider of industry-leading software for discrete and process manufacturers from funds managed by Alpina Management GmbH and private shareholders. Finally, Boomi unveiled its comprehensive API Management solution, delivering cloud-scale APIM alongside its integration and automation, data management, and AI capabilities as part of the Boomi Enterprise Platform.Connect with us!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

What happens when AI agents begin to outnumber humans? In this episode of The Tech Talks Daily Podcast, I sit down with Steve Lucas, CEO of Boomi, to explore this thought-provoking prediction and what it means for businesses, the workforce, and society. With extensive experience leading companies through transformative journeys, Steve brings invaluable insights into how organizations can prepare for a future dominated by AI. Steve delves into the concept of the “AI big bang,” where AI agents are set to fundamentally reshape workforce dynamics and decision-making processes. He highlights how these agents are rapidly evolving, influencing everything from customer service and supply chain management to market analysis. But with this growth comes the pressing need for transparency, explainability, and control. How can businesses avoid being overwhelmed by this AI influx? Steve argues that companies must reimagine work processes and establish robust AI governance frameworks to ensure human oversight and ethical AI deployment. As AI becomes deeply integrated into everyday business functions, Steve outlines the critical role of protocols for future communication. The rapid evolution of technology requires clear frameworks to enable AI agents to interact in ways we can understand and control. He shares how Boomi is addressing this challenge by developing an AI governance platform designed to help organizations manage agent creation, execution, and compliance effectively. Steve also reflects on how business leaders can stay ahead in this rapidly changing landscape. With AI set to revolutionize global learning and knowledge accessibility, continuous learning becomes essential. Drawing on advice from industry leaders, Steve emphasizes the importance of dedicating time to understanding AI technologies and using AI itself for personalized learning experiences. This episode offers a deep look into how AI will shape the future of work, the critical need for governance, and the opportunities and risks that lie ahead. As AI agents become a powerful force in business, how will your organization adapt? Are you ready for the cognitive revolution that's already underway? Let us know your thoughts after the conversation.

Our guests on this episode of Data Driven Finance are Stephen Fishman and Matt McLarty, authors of the book “Unbundling the Enterprise – APIs, Optionality, and the Science of Happy Accidents.” Stephen is North America Field CTO at Boomi and a Strategic Advisor at Revenium, while Matt is Boomi's Chief Technology Officer. There's a lot in the book about APIs, what they can power, and how they can be leveraged to create the experiences we'll be experiencing ahead. Topics covered include: What finance businesses should know about what APIs can do that tech experts already know? Why companies who leveraged APIs early rapidly became some of the biggest in the world. Did you know Google Maps never intended to make their API available to third party developers? Hear why they did. Who are the financial businesses that gave themselves an advantage years ago? What does it mean to “unbundle the enterprise”? How are financial institutions doing in terms of awareness and adoption of API opportunities? What is capability capitalization? Why it's better for finserv companies to go on offense with optionality than to engage in “reluctant compliance” with regulations. The three methodologies financial businesses need for an effective API strategy. The value in data being non-fungible, non-rivalrous, and experience-dependent. What are the risks of this kind of API-driven digital transformation? Helpful Links Stephen Fiscman Matt McLarty Unbundling the Enterprise book Boomi Yodlee 

In the ever-evolving landscape of tech startups, few stories are as compelling as Rick Nucci's journey from founding Boomi to launching Guru. A serial entrepreneur with a track record of success, Rick's career is a masterclass in leveraging market opportunities and navigating the complexities of scaling a business. Rick's company, Guru, has attracted funding from top-tier investors like FirstMark Capital, Emergence Capital, MSD Capital, Slack, and Thrive Capital.

In this episode, I was lucky enough to interview a very, very special guest, Rick Nucci, CEO and co-founder of Guru.Rick, highly regarded in the Philadelphia tech scene, reflected on a memorable moment at the Founder Factory event, where he humorously referenced a sports figure to highlight the significance of operations roles in companies. He emphasized the vital role of operations professionals in leveraging AI and technology to enhance business efficiency, drawing a parallel to the often underappreciated role of a center in a football team. This analogy, although met with mixed reactions, underscored his belief in the transformative potential of operations teams.Rick also delved into his entrepreneurial journey, starting with his early ventures and the creation of Boomi. Growing up in rural Pennsylvania with entrepreneurial parents, Rick was inspired to start his own business at a young age. Boomi, a pioneering integration platform, emerged from the observed pain points in software deployment and integration. Despite initial challenges and competition, Rick and his team pivoted to focus on cloud-native integration, which proved to be a successful strategy. He credited Boomi's long-term success to a culture of innovation and a seamless transition plan that ensured continuity and growth even after his departure. Now at the helm of Guru, Rick continues to innovate, providing solutions that enable employees to access essential information efficiently, fostering a productive work environment.Set sail with Rick Nucci as we chart a course through the realm of tech innovation and leadership in this thrilling episode of The First Customer!Guest Info:Guruhttps://www.getguru.comRick Nucci's LinkedInhttps://www.linkedin.com/in/ricknucci/Connect with Jay on LinkedInhttps://www.linkedin.com/in/jayaigner/The First Customer Youtube Channelhttps://www.youtube.com/@thefirstcustomerpodcastThe First Customer podcast websitehttps://www.firstcustomerpodcast.comFollow The First Customer on LinkedInhttp://www.linkedin.com/company/the-first-customer-podcast/

Artificial Intelligence has taken the world by storm, and there seems to be no way of stopping it. Every industry in the world has adopted AI, and M&A is no different. The integration of AI is revolutionizing how deals are sourced, evaluated, and executed. In short, AI is becoming an indispensable tool for M&A professionals.  In this episode of the M&A Science Podcast, we discuss how to make AI practical in M&A featuring two AI specialists: Michael Bachman, Head of Research, Architecture, and AI Strategy at Boomi, Chris Cappetta, Principal Solutions Architect at Boomi.   Things you will learn: • Retrieval augmented generation • Large language models • Discriminative vs Generative AI • Fine-tuning • Agents This episode is sponsored by FirmRoom. FirmRoom provides 80% cost savings over VDRs that bill by page and delivers a far better user experience to boot. Sign up in under 2 minutes by going to https://firmroom.com  ****************** Episode Timestamps 00:00 Intro 03:07 Making AI practical 04:36 Retrieval augmented generation 10:07 Large language models 13:15 Discriminative vs. Generative AI  16:37 Fine tuning 22:14 Agents 28:46 Real-life use cases of AI

Steve Lucas, CEO of Boomi The technology industry is currently experiencing significant growth, particularly with the emergence of artificial intelligence. This trend has not only attracted significant investments but has also intensified the competition among tech companies striving to lead the market. This has made the tech space a prime area for M&A. Boomi is one of those companies who have recently made a significant move via acquisitions. In this episode of the M&A Science Podcast, we will discuss how to source deals in the tech space with Steve Lucas, CEO of Boomi.   Things you will learn: • Approach on strategy • Acquiring capabilities • Deal sourcing in M&A • Building relationships • Negotiations during M&A This episode is sponsored by the DealRoom. Ready to take your M&A to the next level with software made to manage each stage of the deal process? See how DealRoom can facilitate your next deal at https://dealroom.net  ****************** Episode Timestamps 00:00 Intro 10:16 Boomi's approach on strategy 16:32 Acquiring capabilities 18:55 Deal sourcing in M&A 22:12 Building relationships 25:45 Convincing someone to sell their business 30:51 Example of pitch 32:31 Negotiations during M&A 36:08 Tips on negotiating 38:45 M&A at Boomi 41:43 Making integration successful 47:26 AI in M&A 52:44 Boomi's future 45:26 Craziest thing in M&A

Steve Lucas, CEO of Boomi The technology industry is currently experiencing significant growth, particularly with the emergence of artificial intelligence. This trend has not only attracted significant investments but has also intensified the competition among tech companies striving to lead the market. This has made the tech space a prime area for M&A. Boomi is one of those companies who have recently made a significant move via acquisitions. In this episode of the M&A Science Podcast, we will discuss how to source deals in the tech space with Steve Lucas, CEO of Boomi.   Things you will learn: • Approach on strategy • Acquiring capabilities • Deal sourcing in M&A • Building relationships • Negotiations during M&A This episode is sponsored by the DealRoom. Ready to take your M&A to the next level with software made to manage each stage of the deal process? See how DealRoom can facilitate your next deal at https://dealroom.net  ****************** Episode Timestamps 00:00 Intro 10:16 Boomi's approach on strategy 16:32 Acquiring capabilities 18:55 Deal sourcing in M&A 22:12 Building relationships 25:45 Convincing someone to sell their business 30:51 Example of pitch 32:31 Negotiations during M&A 36:08 Tips on negotiating 38:45 M&A at Boomi 41:43 Making integration successful 47:26 AI in M&A 52:44 Boomi's future 45:26 Craziest thing in M&A

"A lot of these values and principles are very universal — it applies in China, but it applies anywhere.” Trevor Lai is an award-winning entrepreneur, author and illustrator who published his first children's book at the age of seventeen. He is also the founder and CEO of Up Studios, a China-based production company — featured as one of the "Top 25 Animation Studios" in the world to watch by Animation Magazine. Up Studios - the creative force behind much loved Chinese shows like Piggy, Tomo and BOOMi - has received large investments from Chinese tech giant Tencent. When he's not creating world-class animated stories, Trevor loves to play ice hockey in China and traveling around the world. You'll enjoy this candid conversation about creativity, inspiration, and perseverance . This is the first in our series of Learning from Leaders from China - hosted by P&G Alumni Emily Chang. Got an idea for a future “Learnings from Leaders” episode? Reach out at pgalumpod@gmail.com