Podcasts about Sap

In this week's One Vision Podcast, Theodora Lau hosts Kathryn Outlaw, Co-Founder and COO of Spheros, a B2B SaaS platform that aims to unify client data into a single source of truth, enabling accurate, consented data sharing and supporting reliable AI agents. Kathryn talks about her entrepreneurial journey, the inspiration behind the startup, and the goal of making Spheros as essential as DocuSign for onboarding.

AI adoption is upending marketing budgets. Katrina Wong, Chief Marketing Officer at New Relic, brings 20+ years leading marketing and go-to-market strategy across enterprise tech companies including Twilio Segment, Hired, Zuora, Salesforce, and SAP. She discusses experimenting with OpenAI's ChatGPT app program despite unproven ROI, treating emerging AI platforms as a budget hypothesis rather than a guaranteed channel, and rethinking SEM investment as LLMs become a default search interface.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

https://youtu.be/jPTlkjF8M-c Tanner Taddeo, CEO and Co-Founder of Stable Sea, is driven by a mission to bring Wall Street-grade financial services to Main Street while embodying the principle Stay Put in Your Convictions. By combining blockchain technology, stablecoins, tokenized capital markets, and AI advisory services, Tanner helps businesses access investment opportunities, put idle cash to work, and move money globally with greater speed, transparency, and capital efficiency. In this conversation, Tanner introduces The Lionel Messi Startup Framework—Develop a High-Level Thesis, Talk With and Learn From the Market, Run 30-Day A/B Tests, Iterate Your Offering, and Stay Resolute With Your Convictions. He explains why founders should observe patiently, validate their ideas with customers, and act decisively when market opportunities emerge. Tanner also discusses balancing long-term conviction with continuous experimentation, unlocking 24/7 liquidity through tokenized capital markets, reducing friction in cross-border payments, and finding urgent “morphine” problems that customers cannot afford to leave unsolved. — Stay Put in Your Convictions with Tanner Taddeo  Hello everyone. Steve Preda here, and my guest today is Tanner Taddeo, the CEO and Co-Founder at Stable Sea, an autonomous treasury management platform that helps finance teams and global businesses access capital market products and move money around the globe to 40 currencies with the cheapest FX rates. Tanner, welcome to the show.  Steve, thanks for having me. Excited for the conversation today.  It’s very interesting that this is how you position your business because most businesses in your industry, as I see them, position themselves with low transaction fees, but really their money is made on the FX. So if you do preferential FX rates or cheap FX rates, that can be a very transparent way of getting business. So I don’t know if that connects to your personal why, but I’d love to learn about your personal why and how you manifest it in your business.  Yeah, definitely. At Stable Sea, we’re very mission-driven in terms of everything that we do. The team itself comes from Block, which was formerly known as Square. Yeah. And everyone on the team has been focused on building products for the real economy, for consumer use cases, for business use cases, et cetera, over the course of everyone’s career.  And so when we started at Stable Sea, our primary thesis was, with blockchain, with stablecoins, with some of the tokenized capital markets products like money market funds, bonds, equities, et cetera, that are coming on-chain, how can you really take Wall Street-grade financial services and provision them out to Main Street for businesses that need them the most? And so the why for Stable Sea, for myself, for the team, is really around helping businesses drive greater capital efficiency in their operations. And we service businesses in the real economy that typically make widgets or some sort of physical hardware devices, and they need to send them around the world.  We help them because we give them access to different types of capital markets products, so money markets and private credit and fixed-income products, et cetera. And then we help them move their money around the globe a little bit more efficiently than they could with either their state bank or their credit union or some third-party cross-border payments provider. Because our firm thesis has always been, if you and I ran Coca-Cola or a large organization, we would have the best-in-class transaction banks helping us put our idle capital to work at every point in time during the day.  If you and I ran a steel manufacturing company in Missouri, you typically have a checking account and QuickBooks, and that’s about it. And so for us, it was always about helping businesses grow, save more money, and then operate more efficiently with some of the new technologies that are out there today.Share on X  So that means, presumably, that what you focus on is more about the investment side of the business rather than crypto and blockchain, and helping people access financial products through the blockchain. Help me understand a little bit what you do and how it is different from what people can get from banks?  Yeah. So everything that we do, all the technology that we build and provision, is on-chain. So all of the capital markets products are tokenized. So tokenized bonds, tokenized equities, tokenized fixed income, tokenized money markets. All of the payment services and settlement services that we offer are through the use of stablecoins, and we can send that around the globe, settle it instantly, and then have low FX rates off the back of that. And then we have some of our AI advisory services.  But from a broad paintbrush perspective, at Stable Sea, you’ve got three products that hang off of our platform. You’ve got capital markets, you’ve got global settlement, and you’ve got advisory services. And then with all of that, we share a common architecture, and that architecture is built across many different blockchains. And then we utilize stablecoins and we utilize RWA tokens, or real-world asset tokens, to provision those use cases.  So everything that we do is stablecoin-native, but we don’t lead with that from a messaging perspective. And the reason we don’t lead with that from a messaging perspective is that if you and I ran a bakery here in Brooklyn, New York, and we had a point-of-sale terminal that just got offered RTP access from the Fed for instant settlement, the bakery owner doesn’t really care about the technology underneath it.  They just care, “Do I trust it? Is it going to get me my money quicker, and is it going to be cheaper than my current alternative?” How it happens, not very many people care unless you’re in the industry and you’re a builder, product manager, et cetera, and you want to nerd out on the actual mechanical nature of how the product works. But for us, it’s always been leading with the narrative of, what is the value proposition and how can we drive greater value to the businesses? So that’s how we lead. But to your point on what the difference is, with any new technological paradigm that occurs, rarely is it so disruptive in nature that folks can’t recognize it.  Everything that happens in terms of the innovation paradigm is typically you stand on the shoulders of giants and you make things incrementally better. And so for us, what we do with capital markets is, the first value proposition is that many businesses in the United States just don’t have access to a diverse array of capital markets products. So the first thing that we have done is just provision access, which is an innovation in and of itself because in the traditional markets, if you want to access a money market fund or a fixed-income product, you typically have high hurdle rates, meaning that as a business, you need to invest at least $10 million at the asset manager in question.  You need to hold that there so then you can get access to all these products. With us, you don’t. There’s only a $1 minimum to clear, so I think most folks can handle a $1 minimum. And then secondly, as things go on-chain, the value proposition there is that you have 24/7, 365 liquidity and tradability. And so what that means is that, just from a money market fund perspective, the interest accrues daily and it pays out daily.  So you get this interest that is dripped into your account daily as opposed to waiting for a month. You also have the ability—so let’s say that you and I run this bakery in Brooklyn. Let’s say that we close our business on Friday, and we’ve got $100,000 sitting in our checking account, and we’re closed on Saturday, Sunday because it’s the July 4th holiday. So we know $100,000 is just going to be sitting in our checking account Saturday, Sunday, not being put to work. With Stable Sea, you can put that to work in a tokenized money market fund because it operates 24/7, 365.  So what we see is businesses now that close their books on Friday can just do an auto-sweep into a money market fund, generate yield Saturday, Sunday, get back to U.S. dollars for their open of business. And again, it’s one of those things where it might not sound like the most revolutionary concept in the world, but if you can help businesses, especially in the mid-market, lower mid-market, operate a little bit more efficiently, I mean, saving an additional $20,000, $30,000, $40,000 a year is a big value-add to them in the real economy, right? If you’re a large Fortune 100 company, you probably don’t care, or it’s not as valuable. But for us, the companies that run on us, these small increments, standing on the shoulders of giants, a small derivation in innovation is actually really valuable for the end user.Share on X  Well, I think it is because, looking at the inverse of it, I used to be in banking, and I know that one of the biggest moneymakers for banks is float. Yeah. So it’s basically the money that doesn’t earn interest, which they have access to just because they cash the check a day later or make the wire two days instead of one day. And essentially, what you’re doing is you’re taking this money from the bank and you’re giving it to the company that actually should have it in the first place, right? Yep.  Then the question is, how are the banks going to survive if you take away their bread?  Yeah. That is the debate that’s happening right now. I think if you’re one of your G-SIBs, your major banks, you’re going to be okay. So the top 25 banks in the U.S. are going to be just fine, and they make money in tons of different ways, and you’re not going to disrupt that trust ultimately. In the long tail is where I worry because a lot of credit unions and a lot of state banks, they just don’t offer—they’re smaller banks, right?  So they’re not managing—they don’t have a ton of money by virtue of assets under management. So with the deposits that they receive, they need to turn around and recycle that because it’s fractional depository lending, meaning that if I have a checking account, I put 10 grand into it, the bank is then turning around with that 10 grand, making money on it somehow. And you have to think, how does the bank actually make money on that? Well, they typically make it through debt facilities, so mortgages, auto loans, student loans, cards, et cetera.  They’re putting it to work in high-margin financial products back into the economy. They’re not taking that and then buying some money market fund from an asset manager where they make 10 basis points and provisioning that out to the businesses, right? There, I think that we’re seeing a lot of companies move off. They’re taking their money from their checking account, moving it to Stable Sea because we can put it in these capital markets products.  I think that overall, that’s a net positive for the business because the business now has a higher degree of operating capital on hand that they can make money with. But by the same token, if the state banks and the credit unions don’t wake up and respond to this, their depository base will be, if not fully eroded, tarnished and diminished. And what that means for local community health, I’m not sure because banks do play a very important role, especially credit unions and local banks.  You know your local community the best, and so you lend back into that community with the deposits that you receive from that community. So there’s a cyclicality to it which has some poetry in it. And so it’s not apparently clear to me that some of this stuff is going to be a net positive. But at the same time, living in one of the most capitalistic countries and markets in the world, there’s a clear demand for this, and if the banks aren’t going to wake up and serve it, we’ll be there to help businesses do what’s best for them.  Yeah. It’s the invisible hand, right? You increase the efficiency, which will force the banks to also increase their efficiency. And yeah, the smaller banks might have to be more innovative. But they are more nimble, so maybe there are other ways that they can serve the community.  So I’d like to switch gears here and talk a little bit about frameworks. So this is a podcast of frameworks, and 350 episodes in, I’m always looking for some kind of a framework, shortcut, a mental model that you have come across or developed yourself that helps you make more sense of the world around you, get something done. It can be explained in three to five steps, something like that, which the listeners might get some ideas out of and be able to improve their businesses. So what comes to mind for you?  Yeah, two things. I’ll start with a high-level analogy and then go a little deeper. It’s the World Cup right now, so I don’t know if you or any of your listeners are following the World Cup. But if you watch Messi play, his playing style is a great analogy for startups. And whether that be a startup externally where you raise venture capital, or even just intrapreneurship if you’re inside of a big company and you’re on an innovation team, et cetera.  From the outside, it looks like startups are always building things and they’re always moving fast, et cetera. But in reality, if you watch Messi play, Messi really doesn’t move that much on the pitch. He just sits around, he observes, he watches, and then when a hole opens up and some opportunity opens up, he breaks for it, and then he goes and executes. But he spends the vast majority of time just sitting there, tinkering, observing, watching. And then if you’re watching him, you’re like, “He’s not working that hard. He’s just sitting around.”  And then he goes and executes. But he’s always observing, he’s always watching, and there’s a real learning in that. I feel like Silicon Valley, as it relates to startups, there’s this pressure that you always have to be building, you always have to be shipping, you always have to be constantly grinding. I think that wisdom is actually counterintuitive because you want to have a thesis in the market, and then you want to be able to test that thesis quickly. So in some respects, you do want to be shipping all the time.  But you don’t want to be working for the sake of work. You want to have a thesis in the market. You want to be building towards that thesis that will happen in the next six months, 12 months, two years. And then you always want to be learning and talking to the market because when that hole does open up, you’ll have the right product at the right time to go and execute on. So I think that's something that we have learned: being patient and staying resolute in your conviction that what you're building is right.Share on X And it can’t just be a gut feeling. It has to be validated by the market.  So we do a bunch of A/B tests every 30 days where we have an idea about a feature or a product or a direction we want to take it. And the thing is, if you can’t get five CEOs on the phone in 30 days to validate if a product is going to be interesting or not, then that’s a signal in and of itself, right? So for anything that we do, we always have a thesis on the market, and then we spend 30 days testing it. And at the end of those 30 days, we get some feedback.  The reason why we do these A/B tests, just to drill down into one level further, is that the idea of a startup or a product that you have in your head, it’s a living entity. It’s always evolving on the basis of who you talk to, what your team is thinking, what you’re reading in the market, et cetera.  And then you’re trying to take that living concept and plug it into a market. But the market itself is also living, right?  You’ve got regulations, you’ve got different macroeconomic cycles, you’ve got companies that have budget, don’t have budget, people getting laid off in different organizations. The market itself is living and evolving. So you have this idea that is living and evolving, and you have a market that is living and evolving, and you need those two things to stick together. And so for us, we’re always wedded to this concept that product at time A is not going to be product at time Z. You need to constantly be doing A/B tests to figure out what that right fit is.  And then when you have that fit, you need to double down on it and grow it into a line of business. But you also need to recognize that there are very few businesses in this world that have been around for more than 200 years, if at all. So whatever your original product idea is, or whatever the feature that gave you product-market fit is today, you have to consciously be aware that, “Hey, that’s not going to be the thing that gets us to IPO in five years’ time.” So you can’t be lulled into this false sense of security. You always have to be waiting, observing, testing, experimenting, growing, and then if you see opportunity, you strike.  Yeah, this is fascinating. Especially now, things are moving very fast with AI creating capabilities all the time for people to test products or to create capabilities that then get disrupted in a couple of months. So it’s interesting that you say that you have to stay resolute in your conviction. So there is a tension there. You build a thesis and you stay resolute, but then you’re testing and the market might tell you not to be resolute.  And then you also told me that companies don’t live forever. So how do you resolve this tension of being stable with your thesis and not letting your conviction be upended, but also being nimble in the changing market dynamics and everything to respond to? So how do you manage the tension?  Yeah, it’s a good question. There has to be a high-level thesis, right? So for us at Stable Sea, it is as simple as: In 10 years from now, will more finance teams and businesses be on-chain or off-chain than today? And so our high-level conviction is, in 10 years’ time, more businesses will be running their treasury stack on-chain. So that’s our conviction. We know, come hell or high water, that is going to be where the puck is going to be in the future, and we’re going to skate to that future.  So if you start with this high-level conviction that more companies are coming on-chain, that is what we’re building for. Now, how they come on-chain is a matter of debate, which is where the A/B test comes in, right? We originally thought it was going to be for payments. So we built all the stablecoin infrastructure to do global payments in 40 different markets.  Turned out to be not the case, actually. And then we started tinkering as we saw the data coming in and were like, “Okay, some companies are using stablecoins for payments, but there’s a bunch of inefficiencies. That world’s still going to take two or three years to wake up. Where is the wedge in the market today?” And so when we started experimenting with capital markets products, we found that there was this massive opportunity that businesses just didn’t have access to a diverse array of yield-bearing strategies, and they wanted that.  And so that was where we were like, okay, let’s get businesses into the on-chain economy through capital markets. And then what we’re finding is, as folks come onto the platform, everyone uses us today for capital markets, and then 20, 30% of our companies say, “Actually, I do have a cross-border payment need, and I already hold money with you. Can you facilitate that payment or that settlement to Mexico, Colombia, Brazil, South Africa, et cetera?”  So for us, when I say you need to stay resolute in your conviction, our why is always: We want to take Wall Street-grade financial services and provision them out to Main Street.Share on X The conviction behind that is that you can do that through on-chain technology. And then in 10 years from now, more businesses will be on-chain than off-chain. How we get to that future in 10 years, who knows, right? And that’s where the fun of the startup is.  You’re always testing. And so for us, we’ve waxed and waned on different product strategies, primarily because the market has changed. And as people start to educate themselves on what the value props are, you see where folks find value, and then you build to that value. And in theory, in three, five, seven years, we should be living in a world where more companies are operating on-chain, and then they might use that full product suite.  But out of the gate, it’s kind of like, where is that value, that wedge? You charge as hard as you can into that wedge, and then you continue to expand your product set over time. All with that high-level conviction of, in 10 years from now, we believe that more businesses will be on-chain than off-chain.  So basically, you want to find the point where you can penetrate that market opportunity, and then it’s a land-and-expand kind of thing. And then you expand from there as the market opportunities evolve over time. But you already have a customer, you’re already building trust with them, and now they’re going to be more disposed to buying from you.  Yeah, that’s right. And I think it’s interesting from a mental place being a startup because you’re forced to think so short-term because you just need to generate revenue, get to the next capital round, et cetera. So you’re always building for the moment. But what we try to do at Stable Sea is we try to think as if we were already a Vanguard and a large company, to the extent that we have the luxury of planning for 10 years.  If you think about it in that regard, it takes a lot of the day-to-day anxiety away. It’s a little bit like, if you listen to Warren Buffett, any time that there’s volatility in the market, he’s like, “Well, it doesn’t really bother me because I’m investing for 50 years.” So, is it up 20%, down 20%? Who cares? In 50 years, it’s going to be up 200%, so that’s all I’m worried about, right? And there’s a real luxury when you come and think about it that way. So that’s why I think if you’re founding anything, or if you’re starting something inside of a company as an intrapreneur, you need to have a strong conviction on where the market’s headed in five or 10 years, and then you need to test towards that future. But that also makes the day-to-day operations of the business a little bit more palatable.  So often, you can get caught up in this whipsaw of, “Big Company A launched this product. Regulation came down, wiped out this company. This competitor raised a Series C, and they have way more money in the bank than we do.” And so you can get caught up in all this minutiae, but it doesn’t really matter if you sit back and you say, “I know that I’m going to find a way to make this business exist for the next 10 years.” In 10 years’ time, what does the future look like? Do I feel strongly that that’s going to be the case? Cool. I’m going to build towards that future. And then whatever the headwinds are in the interim, they’re just short-term temporal problems that kind of come and go along.  Yeah. I mean, I totally agree with you. And interestingly, 20 years ago, or 25 years ago, I didn’t feel like I had enough time to think that long term. But now that I’m older, I actually am more patient to have the long view, which is very counterintuitive.  And Dan Sullivan, who is a coach and the founder of Strategic Coach, he is now, I think, north of 80, and he has this thesis that even at his age, he has a 25-year plan, and that allows him to actually create more value. So that’s fascinating. So switching gears here, what drives growth in your business right now?  Yeah. So we govern the business with an assets under management model. So we have USDC, we’ve got money market funds, we’ve got fixed-income products, we’ve got Bitcoin on platform. So we just look at overarching platform balance. And so that’s the primary, very simple heuristic for how we define success: Is that thing growing month over month, quarter over quarter? That’s how we define growth and measure our growth.  But again, the value prop in terms of what drives that, why do companies actually sign up to Stable Sea? Primarily because they just don’t have access. Almost every business that we have talked to so far, and honestly every business that I’ve interacted with, has idle cash sitting in a checking account someplace. Full stop. And that idle cash could sit there for the weekend, i.e., two days, or it could sit for a quarter. If you’re gearing up for quarterly bonuses in Q1, you will escrow a million, $2 million in Q4 so you can pay out in Q1. Not just the U.S. economy, but every economy, there’s just cash sitting around at a bank, and it’s being underutilized.  And so for us, when we go and finally chat to businesses in the mid-market, lower mid-market, even SMBs, we have a customer on platform that invests $2,500 every week. It almost looks like a checking account, or almost looks like retail behavior in some ways. But they do it because they say, “Hey, I don’t make a lot of money with my business, but if I can eke an additional two, three grand at the end of the year, that’s valuable to me.” And there’s a real poetry to that because they’ve never had access to it. They’ve always wanted it.  But banks, large and small, won’t go build for the long tail of the economy. And so finally, we show up and we say, “Hey, here’s your menu of investment options. Here’s the risk profiles. Here’s how you should think of it. Based on the seasonality of your business, we can get you into the right products.” There’s real utility there, and that’s what kind of drives the value proposition and the growth of the business and the business’s assets under management overall.  So you’re looking for opportunities where you can be additive to customers, where there’s a situation where maybe there’s a gap in the market or there’s friction that they are experiencing with investing their money, and you can be the wedge in that situation and offer them a 3X better solution.  Yeah. Correct. Correct. And again, our tagline internally is, “Keep your bank, upgrade your capital.” Because we really don’t want to compete with the checking account. Where you run payroll, where your invoices land if someone pays you, your day-to-day spend, keep your banking relationships because it’s very difficult to usurp that. And also, we don’t want to get into that. That puts us squarely in this neobank realm where you’ve got great companies like Mercury and Rho and Ramp and Brex and a thousand other companies there.  We don’t really want to go compete with that. We’re more of, if you had the privilege of working with some of the largest transaction banks in the world, that’s what we’re trying to be and essentially provision those services out to the real economy, which is typically access to capital markets, access to global foreign exchange for payments and settlement, and then advisory services, tax reporting, et cetera.  Almost like a democratized private banking service.  Yeah. Yeah. All of us at Stable Sea, we’re trying really hard to steer away from the banking narrative, but yes, in the future, if you take that 10-year perspective, yeah, we will most likely be a private banking solution, a democratized version of that.  Yeah. Fascinating. So what’s one thing that you’re actively trying to figure out right now in your business?  Yeah, it’s a great question. I mean, the one thing that we’re actively trying to figure out is two things, really. One is, so we build directly into ERP systems like QuickBooks or NetSuite or Oracle or SAP, and we have advisory services. So we take a lot of that data, we build our own model weights on top of it, and then we offer that out to our customers so that they can essentially query their own transaction data and use it for different services.  Now, we’ve got strong signal on the first value proposition for that, but I’m curious mostly for owner-operators in the real economy: What are their biggest back-office pain points? And that’s something that we’re trying to figure out because we hear a lot, “Yes, we don’t have access to savings products.” Okay, we can solve that today. “Yes, cross-border payments are frustrating, slow, and expensive.” Yes, we solve that today.  So we’re looking for that third pillar. One of our VCs always talks to us about morphine versus vitamins, where it’s kind of a crude analogy, but if you go to the hospital and you’re in dire pain, you don’t want to be sold vitamins. You want some morphine, and that’s what you’re going there for, right? And when you’re in a startup and you create products, you’re really looking for that morphine of, people just cannot live without this product. And then you can sell all the value-added services around it, which are essentially the vitamins.  And so for us, we’ve found two morphine-like products where there’s a real pain point for accessing capital markets. Primarily, there is no ability to access that today. And then second, cross-border payments: slow, difficult, expensive, opaque, all the things. Solved that. So the third one that we’re trying to figure out now is: How do we A/B test quickly enough to figure out—we have a treasure trove of data building into ERP systems—what is the highest signal-to-noise product that we can build using a diverse data set to help owners operate their back office a little more efficiently?  So you say highest signal-to-noise. Is it the ratio of signal to noise? So what is the product value which you can detect as being a need in the market? Is this what you mean by that? Yeah, yeah. It’s like, what is that one pain point that is so resolute that people are like, “I would do anything to have this thing solved”? There’s all these value-adds like cash flow reporting and automating some of your tax stuff at the end of the year, which are all nice-to-haves. We’re curious. We’re trying to figure out what it is that folks will say, “I’ve got all this data in my ERP system. I would love to know one, two, three things and have A, B, C automated so my back office can run a little bit more efficiently and my accountant doesn’t have to ask me every quarter-end, ‘Where is X, Y, and Z statement?'”  Yeah. I mean, I’ve got some ideas, but I’m sure that you’ve already thought about most of it, so I’m not going to share them. So if someone is listening to this who is a small business or medium-sized business, and they’ve got some cash just sitting around, or they’d like to invest, but they don’t have big enough balances or the transaction costs are prohibitive for their size of investment, whatever the reason, but they are curious about exploring how to have access to better FX rates, more investment products, where can they learn more, and how can they connect with you?  Of course. Well, connect with me on LinkedIn, Tanner Taddeo, pretty easy to find. And then the platform is stablesea.com. So, free to sign up, no cost whatsoever. Also, no cost to use the platform at all. So feel free to sign up right online, and then, yeah, typically it takes us two days to run through the KYB document requests, and then you’re up and running. So, pretty simple. Stablesea.com, free to sign up and start putting your capital to work. Awesome. We try and make it as seamless as possible.  So I’m just wondering, the name of the company, is it something to do with stablecoin? Is it a sea of opportunities for stablecoin?  It was stablecoin for sure. So we started with the word “stable” and then “sea” because we wanted to provide a sea of liquidity. Both for FX, because we do B2B settlements, which are typically large transactions, low volume. You’re not doing twenty $10 million transactions a day. You’re typically doing one $10 million transaction a week or every other week. But you need a deep pool of liquidity to service that.  And then also, from a capital markets perspective, we wanted to be able to provide a sea of liquidity there for different investment options that companies could access based on the seasonality of their cash flow or the risk tolerance that they have as a business. So stable meets sea, so Stable Sea.  Okay. Well, if you want to keep your bank but upgrade your capital, then reach out to Tanner Taddeo, the CEO and Co-Founder of Stable Sea. He’ll get you more investment opportunities that maybe you have not had access to. And if you enjoyed this episode, make sure you subscribe and follow us on Apple Podcasts. Do not miss any episode with exciting entrepreneurs like Tanner. So thanks, Tanner, for coming, and thank you for listening.  Thank you, Steve. Important Links: Tanner's LinkedIn Tanner's website

AI adoption is upending marketing budgets. Katrina Wong, Chief Marketing Officer at New Relic, brings 20+ years leading marketing and go-to-market strategy across enterprise tech companies including Twilio Segment, Hired, Zuora, Salesforce, and SAP. She discusses experimenting with OpenAI's ChatGPT app program despite unproven ROI, treating emerging AI platforms as a budget hypothesis rather than a guaranteed channel, and rethinking SEM investment as LLMs become a default search interface.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This is episode two of Decoding the C-Suite, a five part miniseries from Recruiting Future about how leadership really thinks about AI, recorded with the leadership team at SmartRecruiters seven months into their acquisition by SAP. The headlines about AI and the workforce are relentlessly grim: surveillance, layoffs, roles disappearing. Lehua Stonebraker, who leads the people function at SmartRecruiters, starts from a different place: naming the fear rather than managing around it. In this episode she explains how to build psychological safety when employees are scared to admit they use AI, why she believes the org chart is gone, how engagement went up during an acquisition, and a vision of a connected employee lifecycle that finally uses everything an organisation learns about its people.

This is episode three of Decoding the C-Suite, a five part miniseries from Recruiting Future about how leadership really thinks about AI, recorded with the leadership team at SmartRecruiters seven months into their acquisition by SAP. If you've ever struggled to get AI investment signed off, this episode is for you. Tom DiDesidero, CFO at SmartRecruiters, explains exactly what he wants to see in a business case, why he backs short, measurable pilots over big commitments, and how to bring evidence rather than instinct. He also lifts the lid on the real economics of AI, from unpredictable inference costs to gross margins far below anything the SaaS world is used to, and makes a prediction about how the AI and SaaS worlds inevitably come together.

The organisations genuinely driving AI change in talent all have one thing in common: alignment with the C-suite. Decoding the C-Suite is a five part miniseries from Recruiting Future exploring how leadership really thinks about AI. Recorded over one day with the leadership team at SmartRecruiters, seven months into their acquisition by SAP, the series unpacks AI through five lenses: the thesis, the people, the money, the product and the market. If you want to understand the conversations happening around your own leadership table, and how to win them, this series is for you. In the opening episode, the tables are turned as SmartRecruiters' Allyn Bailey interviews Matt on the future of talent acquisition. Matt shares his honest assessment of the outdated stories the industry keeps telling itself, why mental models matter more than systems, how candidates are already breaking recruiting, and a prediction about AI agents talking to AI agents that he's prepared to be held to. It sets the agenda for the four leadership conversations that follow.

This is episode four of Decoding the C-Suite, a five part miniseries from Recruiting Future about how leadership really thinks about AI, recorded with the leadership team at SmartRecruiters seven months into their acquisition by SAP. AI is moving faster than any buyer can absorb, and that creates a genuine design problem: build for the boldest customers and you lose everyone else, build for the cautious and you fall behind. Shefali Netke, VP of Product Design at SmartRecruiters, lives in that tension every day. She explains how to design for a spectrum of readiness rather than an average user, why she refuses to keep designing for the old world, how her team builds AI fluency, and what it takes to merge two design cultures into one team.

This is the final episode of Decoding the C-Suite, a five part miniseries from Recruiting Future about how leadership really thinks about AI, recorded with the leadership team at SmartRecruiters seven months into their acquisition by SAP. Three years into the AI boom, the marketing noise has never been louder. Everything is AI-powered and every vendor makes the same claims. In the final episode, Steve Hardy, who leads marketing at SmartRecruiters, is unusually candid about all of it: why he tells his own sales team to stop demoing, what he calls AI washing, why buyers should start with business priorities rather than features, and what actually builds trust with buyers and candidates alike. The series closes with the question that ran through every conversation: what does good leadership look like in an AI-driven world?

macOS Screen Sharing Vulnerability Exploited https://advisories.ncsc.nl/2026/ncsc-2026-0280.html GeoServer Patch https://geoserver.org/announcements/vulnerability/2026/08/14/geoserver-3-0-1-released.html Recent SAP Commerce Cloud Vuln Exploited https://x.com/DefusedCyber/status/2088240809355153647 ChainDrop npm Worm https://medium.com/governed-at-the-source/the-chaindrop-npm-worm-august-2026-how-444-packages-were-compromised-without-a-single-npm-b0c9e5a4c387 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Philipp Vetter über Entspannung an der Inflationsfront, Übernahme-Euphorie bei Workday und den Aufstieg von Reddit. Außerdem geht es um Workday, Sandisk, Western Digital, Netflix, Hertz, Cisco, Cerebras, Coherent, TKMS, Thyssenkrupp, Vincorion, RWE, Sixt, Secunet, Hellofresh, Energiekontor, Evotec, Birkenstock, Palantir, Nebius, Reddit, AvalonBay, Volkswagen, Adidas, Deutsche Bank, SAP, Siemens, Bayer, Commerzbank, Deutsche Börse, Deutsche Telekom, Siemens Healthineers, iShares Core FTSE 100 (WKN: 552752), BIT Global Technology Leaders (WKN: A2N812) und ARK Innovation ETF (WKN: A408AW). Am 2. Oktober findet unser „Alles auf Aktien“-Summit in Berlin statt. Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket – aber nur unter folgendem Link: https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

In today's Cloud Wars Minute, I explain why ServiceNow's fast-growing security business is becoming central to Bill McDermott's AI strategy. Highlights 00:01 — I wanted to chat a little bit about ServiceNow's Q2 performance, but mostly what CEO Bill McDermott disclosed on the Q2 earnings call. Very strong performance across the board. They beat on all their numbers, doing very nicely. And what McDermott did, what he used the Q2 earnings call for in his opening remarks, was to lay out what I think is a significant new direction. 01:15 — Now, on top of that, we see a lot of anxiety from businesses now about — while they see the huge potential of AI, they also see that it raises security to levels that it hasn't been at before. So McDermott is sort of pairing those things up: the fully integrated Control Tower plus security plus governance. 02:14 — He said, “We're going to be able to handle all that simply and easily for customers.” He said that whichever chip wins, whichever lab wins, whichever price-per-token regime wins, he said, ServiceNow is going to be able to handle that. You're not — any of the customers aren't going to be, you know, going down a dead end or a dead-end alley if they choose to work with ServiceNow. 03:23 — He said CEOs have been losing sleep over this idea of risk at scale, and we're going to help those CEOs sleep well at night. So it's a big promise. It's a big adaptation for ServiceNow, but I think it's one that's consistent with some of the steps that McDermott has been making in the past, and it's very timely now to bring these two forces together. 03:59 — Now, one of the things that has made McDermott so successful over his seven years at ServiceNow, and before that at SAP, is his ability to use these earnings calls as almost like a come-to-Jesus discussion of where we as a company are, where the external market is with customers, and how aligned we are not just with where customers are now, but where they're heading. Visit Cloud Wars for more.

We got your Patch Tuesday notes. Attackers target Microsoft SharePoint vulnerability following PoC release. Cyberattack on CEVA Logistics causes ongoing supply chain disruptions. Wesco confirms data breach following extortion claims. Akira ransomware bypasses EDR in Safe Mode. California announces AI cybersecurity fund. N2K's Lead Analyst Ethan Cook shares about cyber weapons for space. Dave Bittner sits down with Michael Leland, VP and Field CTO at Island, at Black Hat USA to discuss the growing risks of the AI supply chain. And fasten your seatbelts and ignore the fake Wi-Fi. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices, Dave Bittner sits down with Michael Leland, VP and Field CTO at Island, at Black Hat USA to discuss the growing risks of the AI supply chain, including AgentBaiting, where fake AI Skills and MCP servers were used to deliver malware, and hidden instructions that can influence AI agents. If you enjoyed the conversation, be sure to check out the full interview here. Selected Reading Microsoft and Adobe Patch Tuesday, August 2026 Security Update Review (Qualys) Shattering the Dream - When a Job Offer Becomes a Zero-Day Attack (Check Point Research) Patch Tuesday August 2026: A zero-day WinSock driver hole under exploit, and a maximum severity SAP vulnerability CSO Online ICS Patch Tuesday: Vulnerabilities Fixed by Siemens, Schneider, Phoenix Contact (SecurityWeek) Hackers leverage new Microsoft SharePoint exploit in attacks (BleepingComputer) The CEVA Logistics data breach is having major knock-on effects across Europe - here's what we know (TechRadar) Wesco confirms security incident after ExfilSquad claims data theft (BleepingComputer) Akira Hits Safe Mode: Ransomware Rebooting Around EDR (Huntress) California Building ‘AI Cyber Defense Fund' to Protect Critical Infrastructure From Hackers (Gizmodo) Laser weapons for space? US officials see threat, opportunity (BREAKING DEFENSE)  DEF CON dingus suspected of trying to take over Delta in-flight Wi-Fi (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.

In this special episode of Cloud Wars Live, Bob Evans speaks with Manish Sood, founder and CEO of Reltio, about the rapidly changing relationship among enterprise data, AI, and business strategy following SAP's acquisition of Reltio. Sood explains why trusted, interoperable data is becoming increasingly important as enterprises embrace agentic AI and autonomous business processes. He also discusses why AI models themselves may increasingly become commoditized, how organizations can bridge legacy and next-generation technology, and the ideas behind his new book, Agentic Intelligence: Strategy at the Speed of Data. Data Powers Agentic AI Data Becomes the Differentiator: Sood argues that enterprises should stop viewing data simply as another asset and instead recognize it as an interoperable asset that becomes more valuable as it is put to work across the organization. This distinction becomes particularly important as AI capabilities spread. If businesses eventually gain access to broadly comparable AI models, competitive differentiation will increasingly come from proprietary enterprise knowledge: decades of customer information, operational history, relationships, and business context. AI Creates Unavoidable Urgency: Enterprise transformation once proceeded at what Sood describes as a relatively organic pace. AI has fundamentally changed that dynamic by creating an enormous pull on organizations to move more quickly. Executives might still feel uncertainty about AI, but another fear has become even stronger: getting left behind. That competitive pressure is creating urgency around experimentation, investment, and execution. Sood sees this as potentially healthy because it forces organizations to reconsider technology and processes that previously seemed difficult to change. Strategy Still Beats Shiny Objects: AI's extraordinary pace doesn't eliminate the fundamentals of good business strategy. Sood notes that every major technology cycle produces a new "shiny object" that organizations race to adopt, sometimes before determining the architecture, strategy, and business value required to make it useful. AI shouldn't become another example. Enterprises absolutely need to embrace the technology, but Sood argues that they cannot sacrifice disciplined thinking about what they are trying to accomplish. That idea sits at the center of Agentic Intelligence. The Big Quote: "Our thesis has always been that data is not just an asset. Data is the interoperable asset that needs to be used.” More from Manish Sood and Reltio: Follow Manish on LinkedIn and learn more about Reltio and SAP at the following links: Reltio: Agentic AI Readiness Research, SAP Business Data Cloud, and Reltio: Building a Foundation for Agentic AI Visit Cloud Wars for more.

OCR has been around for more than 40 years. So why do the world's biggest banks still have thousands of people reading documents by hand? When Dan Maloney became CEO of Landing AI in 2024, as Andrew Ng stepped back from the day-to-day, he was returning to a problem he had first worked on at SAP back in 2001. When he looked closely at it again two decades later, he was struck by how little it had actually moved. Landing AI's mission is to make the world's documents computable. Instead of growing up from OCR and patching its limits with templates and heuristics, Landing AI came at the problem from visual AI, blending purpose-built models, an intelligent router, and agentic reasoning into a single system that reads a document the way a person does. Today that system extracts structured data from the messiest documents enterprises have, the scanned pages, the tables inside tables, the handwritten forms, at accuracy levels they can build on. Before every enterprise had an AI strategy... Before "agentic" became a boardroom word... Before the industry spent a year token maxing... There was a quieter, more stubborn problem: The world's data was trapped in documents, and no one could read it at scale. In this episode of the Future of Data & AI Podcast, Dan Maloney, CEO of Landing AI and a two-decade veteran of enterprise software and AI, joins Raja Iqbal for a grounded conversation about what it actually takes to move visual AI from an impressive demo into production. Dan is candid about where the hype outruns reality, why the model is the smallest part of the equation, and how a company earns the trust of a compliance team, not just an engineering one. What You'll Discover

Ryan Jones from SAP discusses the new era of field service and asset management, covering AI agents, autonomous operations, and how integrated asset management drives supply chain resilience.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠=====Ryan Jones, Product Marketing Manager at SAP, joins us to explore the evolving landscape of field service and asset management. We talked about the risks of operational fragmentation, the ripple effects of asset downtime, and how AI agents transform maintenance from a cost center into a revenue driver. Ryan also shares success stories and discusses SAP's new unified offering, and outlines the journey toward autonomousoperations.===== Guest 1: Ryan Jones, Product Marketing Manager, Asset Management & Field Service, SAPRyan Jones has spent the last 10 years at SAP working across enterprise asset management, field service, and ERP. He has held roles in solution advisory, solution management, and product marketing, helping customers connect business processes with practical technology adoption. Before SAP, Ryan was an operations manager and SAP ERP user, giving him a grounded perspective on what it takes to make enterprise systems and AI work in real operations.Host 1: Richard Howells⁠⁠⁠⁠⁠⁠⁠Richard Howells⁠⁠⁠⁠⁠⁠⁠ has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability.Host 2: Oyku Ilgar, SAP  Oyku Ilgar is a marketer and thought leader specializing in SAP's digital supply chain and ERP solutions since 2017. As a marketer, blogger, and podcaster, she creates engaging content that highlights innovative SAP technologies and explores key topics including business trends, AI, Industry 4.0, and sustainability.   She holds dual bachelor's degrees in Finance & Accounting and English Translation, along with a master's degree in Business Administration and Foreign Trade, specializing in marketing. With her background in digital transformation, Oyku communicates technology trends and industry insights to help professionals navigate the evolving business landscape.  ===== Show Links:SAP Field Service and Asset Management: The Next Evolution of SAP FieldService Management. LINKSupply Chain Management:  ⁠⁠⁠⁠⁠⁠SAP Supply Chain Management⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠SAP Insights: Supply Chain⁠⁠⁠⁠⁠⁠       Follow Us on Social Media : Richard Howells: ⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠Oyku Ilgar: ⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠      SAP Digital Supply Chain: ⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠    Please give us a like, share, and subscribe to stay up-to-date on future episodes! 

Industrial Talk is talking to Luke Jacobs, CEO, Co-Founder at Encamp about "Enabling understaffed teams to proactively manager regulatory environments". Scott Mackenzie promotes the Barcelona Cybersecurity Congress, scheduled for November 3-5, 2023, and emphasizes the importance of cybersecurity and environmental compliance for industry professionals. He introduces Luke Jacobs, CEO of Encamp, an environmental compliance platform that helps organizations manage their environmental obligations and regulatory compliance. Encamp's Scout AI technology streamlines data collection and reporting, integrating with various systems and ensuring accuracy through AI and human expertise. The platform is designed for organizations of all sizes, from small businesses to Fortune 10 companies, and aims to expand into international markets and additional compliance areas. Outline Barcelona Cybersecurity Congress Announcement Scott introduces the Barcelona Cybersecurity Congress, emphasizing its importance for cybersecurity professionals.The event is scheduled for November 3-5 in Barcelona, with Speaker 1 planning to attend and broadcast.Scott encourages listeners to mark their calendars and network with top cybersecurity professionals.Contact information for the event is available on Industrial Talk. Introduction to Industrial Talk Podcast Scott thanks listeners for joining the top industrial-related podcast and praises industry professionals for their boldness and innovation.The podcast aims to celebrate industry heroes and discuss important topics like environmental compliance.Scott introduces Luke Jacobs, CEO and co-founder of Encamp, an environmental compliance platform. Discussion on Environmental Compliance and Encamp Scott shares personal experiences with environmental compliance challenges in various projects.Encamp is presented as a solution to help organizations meet their environmental obligations.Scott emphasizes the importance of telling industry stories to educate the public and highlight the importance of environmental compliance.Encamp's platform is described as a comprehensive solution for managing environmental data and submitting reports. Luke Jacobs' Background and Encamp's Mission Scott discuss Luke's background in ecology and corporate consulting, leading to the creation of Encamp.Encamp's mission is to make environmental compliance more efficient and less burdensome for organizations.The platform integrates with various data sources and handles the heavy lifting of compliance reporting.Encamp works with a wide range of industries, from telecom to manufacturing, to help them manage their environmental obligations. Encamp's Technology and Integration Capabilities Scott inquires about Encamp's ability to integrate with existing technology stacks.Jacobs explains that Encamp is agnostic and can integrate with various health and safety software, as well as core data sources like SAP.The platform aims to provide a one-stop solution for environmental compliance, making it easier for organizations to manage their obligations.Encamp's subscription model includes a clear price and outcome, ensuring organizations can predict their compliance costs. AI and Data Management in Encamp Scott asks about Encamp's use of AI and how it ensures accuracy in regulatory compliance.Jacobs describes the role of Scout AI in data curation and compliance reporting, emphasizing the importance of AI in making the process more efficient.Encamp's compliance engine is built on a team of subject matter experts and AI research agents, ensuring high accuracy.The platform undergoes daily benchmarking and deterministic checks to validate AI-generated outputs. Implementation and Use Cases Scott inquires about the implementation timeline for Encamp.Jacobs explains that Encamp can be implemented quickly, often within 60 days, and has helped major companies achieve compliance in a short time.Encamp can also assist with backfiling and resolving compliance issues, using its regulatory liaison service to navigate complex situations.The platform provides a centralized data repository, allowing organizations to manage their compliance data effectively. Future Plans and Expansion Scott asks about Encamp's future plans and potential expansion.Jacobs mentions plans to expand into North America and EU regulations, as well as additional program areas like air and water compliance.Encamp aims to provide a comprehensive solution for global environmental compliance, addressing the complexities of international regulations.The platform will continue to evolve, incorporating new technologies and expanding its capabilities to meet the needs of its customers. Contact Information and Final Thoughts Scott provides contact information for Luke Jacobs and Encamp , encouraging listeners to reach out for more information.Encamp offers free resources, guides, and webinars to help organizations understand their compliance needs.Scott emphasizes the importance of environmental compliance and the role of technology in simplifying the process.The conversation concludes with a call to action for industry professionals to adopt Encamp and improve their environmental compliance practices. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! LUKE JACOBS' CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/lukejacobs1/ Company LinkedIn: https://www.linkedin.com/company/encamp/ Company Website: https://encamp.com/ PODCAST VIDEO: https://youtu.be/jfyh-svtSew THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

This was one of the most special podcast episodes I've recorded to date, especially since it was the first time it was recorded LIVE! We gathered for GALILEA's Gathering — an intimate evening that brought together clinicians, researchers, founders, and facilitators for a real conversation about the future of women's health. I had the privilege of recording a live interview with neuropharmacologist and GALILEA creator Stephanie Karzon right there in the room, surrounded by people who are genuinely building something new A core focus of our conversation was mapping out why hormones and life stages are important to factor into female care and why they're especially needed for the psychedelic experience, from a biochemical perspective and for the lived experience. A psychedelic-informed lens in women's care has now become non-negotiable; since clients will likely explore these medicines with or without capable practitioners willing to guide them. And let's face it, current pharmacotherapy isn't enough. Identity and spirituality matter in clinical practice. We need to bring hormone and cycle awareness into practice, as well as the relationship between estrogen, serotonin, glutamate, and psychedelic medicine. Stephanie Karzon Abrams is a clinical neuropharmacologist, founder of Beyond Consulting—powering the integrative and psychedelic medicine spaces by bridging emerging research with clinical practice, and designing clinics and healing centers from the ground up. She serves as Clinical Director at Mystic Health, is an associated prescriber of MDMA and psilocybin therapy under Canada's SAP, and is the Research Director at the Microdosing Collective non profit. Stephanie believes in the undercurrent of joy and authenticity woven into the fabric of our existence, and thus creates talks and workshops where the human experience is explored through the lenses of science, culture, and celebration. With experience in neurology, intensive care, and medical devices at Johnson & Johnson, she is a recognized leader in innovative healthcare. Her work bridges neuroscience, women's health, plant medicine, and the healing power of music. A musician, writer, and speaker, Stephanie also builds community through gatherings rooted in music and meaning through her label Public Secret. Connect with Stephanie via: Email: stephaniekarzon@gmail.com Website: Beyond Consulting, Stephanie Karzon Abrams, Galilea Health IG: @steph__k, @galileahealth Linked In: Beyond Consulting WhatsApp: galileahealth.community YouTube: Stephanie Karzon Abrams Gift: Womens Health Toolkit https://drive.google.com/drive/folders/1eiNj8zAaHlPK3CZPLdqh2QInmDrGbCQ2?usp=drive_link Visit https://marinabuksov.com for more holistic content. Music from https://www.purple-planet.com. Disclaimer: Statements herein have not been evaluated by the Food and Drug Administration. Products listed are not intended to diagnose, treat, cure, or prevent any diseases.

Everyone loves to romanticize the founder who starts from zero. But most successful product and digital leaders will likely find themselves using a slightly different flavor of that skill: intrapreneurship — building something new inside an established company...whether it be a business unit, go-to-market approach, product, or other. Gaurav Jaiswal has done exactly this several times. At SAP, he co-founded SAP Digital, a B2B2C business built to let anyone in the world discover, try, and buy SAP products — taking it from zero to $180 million in just a couple of years. Most recently, as VP of Digital Product at Pearson, he did it again, launching a subscription e-textbook product from idea to market in six months, and scaling to $65 million in just about 2 years. In this episode, Gaurav shares: How he got SAP's board to approve an entirely new business unit in just six months, and the framework he used to get market traction just as quickly How he took those lessons to Pearson, a 150-year-old publishing company, and helped turn it into one that runs like a software business And why building inside a public company is a trade — you get the brand and customer base built in, but you're on the hook for the full legacy culture and scrutiny that comes from operating in a larger, established company Links LinkedIn: https://www.linkedin.com/in/gauravjaiswal/ Chapters 00:00 Introduction 02:30 Gaurav's digital product origin story 05:43 Scaling to 180M ARR 06:52 Gaurav's four P's framework 14:54 Launching Pearson+ and scaling 19:46 The importance of intraprenuership 23:31 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Gaurav Jaiswal.

Aaron Kemp sits at an unusual intersection. He holds a doctorate in cybersecurity, spent years in DoD classified environments running SCI and SAP facilities, and now leads KPMG's quantum research practice — where he's a co-author on a recent hybrid QML paper with Kipu Quantum and IBM. He's also the lead author of KPMG's Q-PREP framework, which pushes enterprises to treat post-quantum cryptography migration as an operational risk problem right now.If you've wondered how quantum actually lands inside a Fortune 200 boardroom — not the hype cycle version, but the "what do you actually tell the CFO" version — this episode maps that territory honestly. It's also useful listening if you're trying to understand the emerging talent gap, why the quiet in enterprise research publications may itself be a signal, and how a firm known for audit and advisory ends up doing multispectral analysis of chestnut trees on IBM quantum processors.What We Get IntoWhy KPMG split quantum into distinct practices — PQC, sensing, optimization, and research — and what that structural choice signals about market timingHow a PBS documentary about the American chestnut tree led to a peer-reviewed quantum ML paper with Kipu Quantum and IBMThe honest case for a 3% accuracy gain over classical ResNet-50 baselines — and why Aaron treats it as a positive-sum signal rather than a victory lapWhy "what makes a good quantum problem" remains the most important question in the field, and how KPMG's client base shapes their answerThe seven-step Q-PREP framework for post-quantum cryptography readiness, and why step one — knowing what you actually have — is the hardest stepHow data-centric thinking (not cryptography-centric thinking) reframes the PQC migration challengeWhy the quiet in enterprise research publications from major financial institutions may itself be a market signalThe talent bottleneck: ~16,500 quantum researchers on the planet against a coming wave of enterprise demandHow AI tooling is compressing quantum research timelines, and what that means for who can enter the fieldWhy the compute stack of the next decade will be heterogeneous — quantum, neuromorphic, thermodynamic, and mechanical computing all coexistingResources & LinksGuest & OrganizationDr. Aaron Kemp — KPMG People Profile — Official bio covering Aaron's DoD/classified cybersecurity background and current role as US Quantum Leader.Papers & ResearcharXiv:2602.18350 — Quantum-enhanced satellite image classification — The peer-reviewed KPMG/Kipu Quantum/IBM paper Aaron co-authored, demonstrating hybrid quantum-classical accuracy gains on IBM processors.From Theory to Impact: Real-World Results in Quantum Machine Learning — KPMG's editorial summary of the satellite imagery research, framed for enterprise readers.From Theory to Impact — Full Technical Report (PDF) — The detailed technical companion walking through the hybrid pipeline step by step.PQC & Enterprise FrameworksQ-PREP: Seven Steps to Post-Quantum Cryptography Readiness (PDF) — KPMG's prescriptive PQC migration framework, with Aaron as lead author.The Quantum Threat Is No Longer Theoretical (PDF) — Aaron's board-level brief on Q-Day urgency.Prepare Now for Quantum Cyber Risk (KPMG Board Leadership Center) — Aaron's article for corporate directors, originally in NACD Directorship Online.Related Coverage & CommentaryKipu Quantum: Quantum-Enhanced AI Deployable in Production — Announcement of the production framework that removes quantum hardware from the inference loop; Aaron quoted as enterprise champion.KPMG's Seven Steps Build Quantum Resilience for Businesses (Quantum Zeitgeist) — Third-party coverage of Q-PREP.A Framework Can Tell You What to Do. It Cannot Tell You What You Have. (Qtonic Substack) — A critical response arguing that advisory frameworks don't solve the underlying cryptographic inventory problem — useful counterpoint reading.Key Quotes & InsightsOn the 3% accuracy gain: "It's a positive game… we did a 12–15 week sprint, and to at least meet classical was our goal when we started. So when we actually did get three percent, it was repeatable. That was, to me, okay — there's something there."On the real PQC problem: "We don't have a cryptographic problem. We have a data problem. None of these organizations know where their data flows."On cybersecurity as a discipline: "Cybersecurity is probably the worst career field ever because perfect cybersecurity has no ROI — because nothing happens."On enterprise timing: Insight: Aaron frames the quiet in financial services quantum research publications as a market signal — organizations may have stopped sharing because they're moving from research toward competitive advantage.On the talent gap: "There's 16,500 quantum researchers on the planet… Fortune 200 will hire 16,000." A single tier of enterprise demand could exhaust the global talent pool.Related EpisodesEpisode 14: A Hybrid NISQ-Classical Solution Architecture with Harry Buhrman — Foundational thinking on hybrid quantum-classical architectures relevant to the Kipu/KPMG/IBM approach.Episode 38: Quantum Machine Learning with Jessica Pointing — A rigorous look at the tradeoffs and open questions in QML that frame Aaron's satellite imagery results.Episode 81: Quantum LDPC error correction with Larry Cohen and Paul Webster — Directly relevant to the compressing resource estimates for breaking RSA that shape PQC urgency.Episode 86: Quantum Advantage Achieved with Dominik Hangleiter — A theorist's careful framing of what advantage claims should and shouldn't mean.Episode 40: Integrating Quantum Computers and Classical Supercomputers with Martin Schultz — Useful context on the heterogeneous compute future Aaron and Sebastian discuss at the end of the episode.Stay in the EcosystemSubscribe on

Hablamos de SAP con Nicolás Hernández, fundador de Crimson Consulting y creador de ABAPilot.Con más de 16 años en el ecosistema SAP, Nicolás construye hoy ABAPilot, un servidor MCP que mete la Inteligencia Artificial dentro de sistemas SAP ECC clásicos — sin BTP, sin RISE y sin esperar permiso de SAP. Hablamos de seguridad, licenciamiento, el nuevo perfil de "Forward Deployed Engineer", y de por qué hacer es mejor que acumular certificaciones.Notas completas del episodio, con todos los temas y enlaces:https://hablamosdesap.com/episodios/085-ia-aplicada-a-sap

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.

Send us Fan MailThis week on ASUG Talks, we dive into Komatsu's SAP AI journey, including how its leverage Joule for Developers and Joule for Business to drive increased efficiencies. Key Insights How Komatsu approached its AI governance strategy SAP AI use casesHow the manufacturer kicked off its AI journey and set a foundation for successThis week at ASUG...Read about SAP's updates to its on-premise maintenance and support commitments--and what they mean for SAP customersLearn how Puget Sound Energy facilitated its SAP Sales and Service Cloud Platform migration--including a seamless cutoverMore from ASUG Subscribe the weekly First Five newsletterFind your local ASUG Chapter Register for ASUG Tech Connect

In this episode of the All Things Sustainable podcast, S&P Global Energy President Dave Ernsberger joins host Lindsey Hall to discuss how data centers, geopolitical risk and sustainability priorities are changing the global energy mix in 2026. As war in the Middle East continues, Dave explains how countries are rethinking the balance between immediate priorities — like energy security, availability and affordability — and the reality of climate change risk. In this context, Dave calls for a reframing of sustainability conversations. "The sustainability discussion will become irrelevant if it doesn't speak to the needs of the half of the world's population that needs energy in the first place," Dave says. "The leaders who are driving a conversation that is predicated on a statement like 'phase out fossil fuels' need to switch the conversation up and say: 'How do we maximize investment in clean fuels?'" Dave says investment decisions are already evolving at speed in response to continued geopolitical conflict. "I was amazed at how fast infrastructure was getting built out to maximize self-sufficiency, minimize import dependency," Dave says of a recent visit he made to the Middle East. "People aren't waiting." Dave also points to surging power demand tied to AI as a key factor reshaping global energy markets. He says S&P Global's newly announced acquisition of datacenterHawk will help fill information gaps about data center infrastructure, from the hardware inside each facility to who the investors are to how much debt is involved. "The questions that confront AI are big. The answers are highly specific and very detailed, and that's what we're driving towards with this investment," he tells us.  Further reading:   S&P Global's Top 10 Sustainability Trends to Watch in 2026 | S&P Global For the world's largest companies, climate physical risks have a $1.2 trillion annual price tag by the 2050s | S&P Global S&P Global to Acquire datacenterHawk Connecting Global Data Center, Power and Infrastructure Markets - S&P Global Further listening:   The big blind spot software giant SAP sees in AI strategies | S&P Global What planetary health means for the private sector | S&P Global  Copyright ©2026 by S&P Global    DISCLAIMER      By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk.    Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights).     This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.    S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.

In episode 299 of our SAP on Azure video podcast we talk about Business Process Solutions.We have spoken a lot about integrating SAP data with Microsoft Fabric. There is the technical part of the integration, but there is also the semantic aspect. With Business Process Solutions, we provide a set of prebiuld resources, like data models, transformations and business templates that customers can use to quickly get started. We already talked about this some time back, so today I am happy to welcome my colleauge Bartosz back with us on the show to give us an update. Find all the links mentioned here: https://www.saponazurepodcast.de/episode299Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #MSFabric #Data #BusinessProcessSolution #ETL #PowerBI

Auf den Einzelhandel rollt eine Schockwelle zu: Die Branche, mit einem geschätzten Volumen von rund 30 Billionen Dollar einer der wichtigsten Wirtschaftszweige der Welt, steht aufgrund des Aufkommens von KI-Shopping-Agenten vor der größten Umwälzung seit Beginn des Internetzeitalters. Wie bereiten sich Zalando, Amazon und Co. vor? Wer droht zu verlieren – und wer könnte zu den großen Gewinnern gehören? Darüber informieren in diesem Podcast die manager-magazin-Redakteure Henning Hinze und Jonas Rest. Weiterführende Links: Angriff der KI-Agenten: KI-Alarm bei Zalando, Amazon und Otto Künstliche Intelligenz: Code Red bei SAP und Investoren Hype um KI: Die gewaltigen Schwächen der ChatGPT-Firma OpenAI Zum manager-magazin-Abo Newsletter „Tech Update“ Der wöchentliche Newsletter mit exklusiven Recherchen und Inside-Reports aus der Tech- und Start-up-Welt. Hier geht es zur Anmeldung! Host: Henning Hinze (Redakteur manager magazin)Gast: Jonas Rest (Redakteur manager magazin)Schnitt, Mixing/Mastering: Felix KleinProduktion: Nele Geiger, Sven Bergmann, Corinna Scheying+++ Alle Infos zu unseren Werbepartnern finden Sie hier. Die manager-Gruppe ist nicht für den Inhalt dieser Seite verantwortlich. +++ Alle Podcasts der manager Gruppe finden Sie hier. Mehr Hintergründe zum Thema erhalten Sie bei manager+. Jetzt drei Monate für nur € 10,- mtl. lesen und 50% sparen manager-magazin.de/abonnieren Informationen zu unserer Datenschutzerklärung.

Is AI eliminating jobs or creating better ones? Join us as we unpack how ERP roles, leadership, and skills are being redefined, and what it truly takes to thrive in the era of the autonomous enterprise.=====AI and automation are fundamentally changing what ERP expertise looks like, from entry-level roles to senior leadership. Trijoy Saikia from HCLTech shares how organizations are rethinking talent models, upskilling strategies, and management structures to keep pace. The conversation covers real-world human-AI collaboration, the barriers slowing AI adoption from pilot to production, and what SAP's Autonomous Enterprise roadmap means for every professional working in the ERP space today.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Download Episode Transcript⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Useful Links:SAP Cloud ERPhttps://www.hcltech.com/Follow Us on Social Media!SAP S/4HANA Cloud ERP: ⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠=====Guest 1: Trijoy Saikia, HCLTech Business Acceleration Center for SAPHost 1: Richard Howells, SAPRichard Howells has been working in the Supply Chain Management and Manufacturing space for over 30 years. He is responsible for driving the thought leadership and awareness of SAP's ERP, Finance, and Supply Chain solutions and is an active writer, podcaster, and thought leader on the topics of supply chain, Industry 4.0, digitization, and sustainability.Follow Richard Howell on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Host 2: Oyku Ilgar, SAPOyku Ilgar is a marketer and thought leader specializing in SAP's digital supply chain and ERP solutions since 2017. As a marketer, blogger, and podcaster, she creates engaging content that highlights innovative SAP technologies and explores key topics including business trends, AI, Industry 4.0, and sustainability.Follow Oyku Ilgar on ⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠SAP Community⁠⁠⁠⁠⁠⁠⁠

Welcome back to the Outdoor Adventure Series! In today's episode, Howard sits down with Cathy Trebatoski, Marketing Communications Director for the Fox Cities Convention and Visitors Bureau in Wisconsin. Representing 19 vibrant communities—including Appleton, Menasha, and Neenah—the Fox Cities boasts something for everyone: from world-class sports facilities and scenic trails, to unique festivals, thriving arts and culture, and a dynamic food scene. Cathy shares insider tips on outdoor adventures, family vacations, local gems like High Cliff State Park, and how the region's commitment to conservation shapes visitor experiences year-round. Whether you're planning a getaway, a conference, or simply a day exploring, discover why Wisconsin's Fox Cities truly “check all the boxes” for travelers seeking memorable moments—no matter the season.DISCUSSION1. Introduction and WelcomeBrief background on the Outdoor Adventure Series and current episode facilitation by Travel Wisconsin and Destination Madison 00:49Introduction of Cathy Trebatoski, her role with the Fox Cities Convention and Visitors Bureau 01:182. Regional Identification and Conference DiscussionComparing hand-shaped state location maps for Michigan and Wisconsin 01:43Fox Cities' proximity to Green Bay and use as a locator 02:10Cathy's participation in the upcoming Outdoor Writers Association of America (OWAA) conference 02:54Explanation of the Speed Connection event and excitement about meeting writers/content creators 02:56, 03:123. Overview of Fox Cities Convention and Visitor Bureau (CVB)Difference between CVB and Chamber of Commerce 04:27CVB's focus areas: leisure, sports tournaments, meetings/conventions 04:36Fox Cities' size, populations, and communities represented 04:444. Major Attractions and FacilitiesDescription of the Community First Champion Center (sports complex): features, functions, and economic impact 05:15Types of sports/tournament travelers: club sports, local high school/club teams 06:06The facility's year-round usage including camps and practices 06:125. Tourism as an Economic DriverImportance of tourism to regional economy and stability during economic fluctuations 06:30Value of unique offerings not found everywhere 07:076. Leisure Travel and Visitor ImpressionsFront-facing visitor center and visitor reactions 07:21Examples of visitors staying longer after discovering the area's unexpected attractions 07:437. Visitor Geography and AccessibilityTypical visitor origin: 5-6 hour drive radius from Milwaukee, Madison, Chicago, Upper Peninsula, Minneapolis, and Iowa 08:52Notable influx from warmer states (Texas, Florida, Arizona, etc.) seeking cooler summer conditions 09:18Advice on packing for layered weather; variable morning/evening temps 10:178. Activities for OWAA Conference Attendees and Other VisitorsOverview of pre-fam tour in collaboration with Oshkosh: fishing, tiki boat ride, meals, kayaking, catamaran sailing, breakfast 12:04High Cliff State Park: hiking, observation, horseback riding, camping, part of Niagara Escarpment 13:08Three major nature centers and their unique events (e.g., "mosquitoes and mojitos," "ales on the trails") 14:25Nearly 60 parks across 19 Fox Cities communities; opportunities for walks, disc golf, wildlife viewing 14:569. Personal Favorite Outdoor ActivitiesCathy shares her love for biking and walking, especially on the Waiwash Trail 15:4510. Four-Season Destination and Winter ActivitiesRange of summer and winter outdoor activities: snowmobiling, snowshoeing, cross-country skiing, ice fishing 17:1011. Conservation and Environmental StewardshipLocal stewardship led by Fox Cities Greenways - https://www.foxcitiesgreenways.org/, and the 31 Trails initiative 19:00Thousand Islands Environmental Center and Eagle Days event 19:4912. Website Tour and New Travel TrendsNavigation of CVB website; key site sections (things to do, food and drink, events) 21:21Rising interest in festivals, notably Mile of Music Festival (200 artists, 700 sets, free, unique support for artists) 22:02Ease of music festival navigation via event app, venue variety 26:1013. Food, Drink, and Local FavoritesBreakfast recommendations: Weathervane (Menasha), Sap 27:53Coffee shop highlights: Acoca, Copper Rock Coffee, Lawless, The Globe, Chilates 28:38Range from “mom-and-pop” to James Beard finalist restaurants 28:55Friday fish fry culture: restaurant suggestions, menu staples 29:54Local NFL connections: visiting teams stay in Appleton, game day shuttles to Green Bay 30:4714. Arts, Culture, and ShoppingPerforming Arts Center (early Broadway releases), symphony, Lawrence University music programs 31:52Museums: Trout Museum of Art, History Museum at the Castle (Harry Houdini), Hearthstone House (hydroelectric), Bergstrom-Mahler Museum of Glass (glass paperweights), Grignon Mansion (fur trade history) 32:44Free museum admissions (Trout and Bergstrom-Mahler) 33:51Extensive farmers markets (four communities, live music, food trucks) 34:44Shopping reputation: large mall attracts regional/northern shoppers 35:2615. Requesting a Destination Guide and Visitor AssistanceInvitation to request and receive a free destination guide 37:1816. Trends in Traveler PreferencesGrowth in health, wellness, and “quiet adventure” travel 38:45Experiences like foraging, cooking classes, outdoor saunas at Givens Farm 39:11Emphasis on nature immersion, wellness, healthy eating options 39:5817. Memorable Moments and Community ImpactCathy's aha moment: hosting Jessica Cox (pilot without arms), meeting with Limitless Wisconsin disability group 41:12Significance of inclusive, meaningful events for the community 42:5518. Role of Volunteers and Brand AmbassadorsVolunteers assist at conventions, major events, and airport welcome tables 45:22Highlight of interacting with international visitors, especially during AirVenture 46:5019. Social Media and Additional ResourcesOverview of Fox Cities CVB's social media presence: Facebook, Instagram, YouTube, TikTok, LinkedIn (Fox Cities WI) 47:1920. Show Wrap-upLEARN MORETo learn more about the Fox Cities region, visit their website at www.foxcities.org or on these social sites:Facebook: www.facebook.com/FoxCitiesWiInstagram: www.instagram.com/FoxCitiesWiOWAA 2026 Conference HostsTravel Wisconsin: https://www.travelwisconsin.com/Destination Madison: https://www.visitmadison.com/NEXT STEPSVisit us at https://outdooradventureseries.com to like, comment, and share our episodes.KEYWORDSCathy Trebatoski, Fox Cities, Travel Wisconsin, Destination Madison, OWAA, Outdoor Adventure Series, Podcast Interview#CathyTrebatoski #FoxCities #TravelWisconsin #DestinationMadison #OWAA2026 #OutdoorAdventureSeries #PodcastInterviewMy Favorite Podcast Tools:  Production by DescriptHosting BuzzsproutShow Notes by CastmagicWebsite powered by PodpageBe a Podcast Guest by PodMatchBanner Customization by Nano Banana & Canva

This week on Catalyst, Tammy is joined by Craig Vaughan, Executive Managing Director and Global Head of AI Go-to-Market at NTT DATA, three months into the role. Craig traces his path from studying architecture at Cornell through an MBA at Wharton and a master's in business analytics from NYU Stern, then through go-to-market roles at SAP and a decade leading AI and gen AI practices at Accenture. He and Tammy dig into how leading diverse, cross-functional teams and moving at AI's breakneck pace aren't in tension but actually reinforce each other. They also discuss what drew Craig to NTT DATA's culture, the partnerships with OpenAI, Google, Anthropic, and Mistral that are shaping how the company delivers for clients, and how to keep AI adoption human-centric so workers are repurposed rather than replaced.Please note that the views expressed may not necessarily be those of NTT DATALinks: Craig Vaughan Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us Fan MailThis week's enterprise software developments continued to emphasize AI-driven automation, cloud partnerships, and operational intelligence across the enterprise. HUMAN Security expanded its agentic visibility capabilities for marketing and commerce teams, while Iterable introduced a new AI agent and Xactly launched a dispute management AI agent to automate finance workflows. SAP and Google Cloud announced deeper integrations, Appian unveiled new platform features alongside a partnership with Snowflake, and IBM introduced an AI-first development partner to accelerate enterprise application delivery. Additional announcements included Oracle NetSuite's SuiteCloud Agent Skills offering, the latest release of Precisely EngageOne RapidCX, Treasure AI's rebrand, and Parsec Automation's Connected Worker solution, highlighting continued investment in AI-powered productivity, workflow automation, and digital operations.Video: https://www.youtube.com/watch?v=RdL8bi0M_kUQuestions for Panelists?

What if your 100 people could feel like 300? That's the bet Robin Daniels, Chief Business Officer at Zensai and author of The Human Success Playbook, is making - and it's working. His company doubled revenue over three years and has been named a great place to work three years running. He joins us to break down how to unlock the potential already sitting inside your organization, lead through genuine uncertainty, and build B2B content that people can actually put to work. About our guest, Robin Daniels Robin Daniels is Chief Business Officer at Zensai, a learning and performance platform competing in a market dominated by Oracle, SAP, and Workday. He previously served as CMO at Matterport and WeWork and held senior marketing roles at Salesforce, LinkedIn, and Box. He recently co-authored The Human Success Playbook - a narrative business book that follows a fictional CEO who refuses a board's demand to cut 40% of the company and sets out to prove there's a better way. The book comes with an AI-powered interface where readers can ask the authors questions and apply every framework directly to their own organization. What B2B Marketers Can Learn From The Human Success Playbook The biggest AI opportunity isn't efficiency - it's multiplication. Robin starts every conversation the same way: do you see AI as a way to cut costs and get more efficient, or do you see it as a way to unlock insane potential in the team you already have? He's made his choice - and built a company around it. Ian puts the math plainly: if you have 100 people, the far more exciting challenge is figuring out how to make them feel like 200 or 300 and generate the revenue to prove it. Robin connects it to something every leader already knows but rarely acts on: "I truly believe everyone has something they're really creatively good at. But if you can actually find time to focus on that, it can lead to new ways of growing your business that maybe you hadn't even thought of before." The companies that win the next five years won't be the ones who cut hardest. They'll be the ones who figured out how to multiply. You can't shrink your way to greatness. Robin credits Tom Peters for the line and means it completely. His argument isn't about shaming companies that make cuts - sometimes it's necessary to survive. The argument is about where the real upside lives: investing in people, giving them new tools and skills and goals, and then letting them find growth paths nobody had imagined yet. "I've never seen a company shrink their way to greatness," he says. "You have to grow." Ian adds the frame: the goal isn't to replace anything - it's to generate more revenue. "How are we going to 2X our revenue?" is a fundamentally more energizing question than "how do we get more efficient?" And it tends to produce more interesting answers. Lead with a vision even when you don't have all the answers. Robin is direct about what employees actually hate most: not bad news, not hard feedback, but uncertainty. "If you don't know what you're working towards, it's really hard to do great work." In The Human Success Playbook, the fictional CEO Evan has eight months to show a different path or get fired - and the whole tension of the story is whether he has the courage to set a direction without knowing exactly where it leads. Robin's advice for real leaders in that position: paint the vision, commit to it, and stay flexible enough to adjust as the world changes. And then, with characteristic directness: "Being a leader has always been tough. Suck it up, buttercup." The future of B2B content is a framework people can make their own. Robin didn't just write The Human Success Playbook - he and his co-authors built an AI-powered interface on top of it so readers can chat with the book and apply its frameworks to their specific company. A 500-person manufacturer in Germany gets different advice than a mid-size bank in the Midwest. Ian connects it to a bigger shift in how B2B content works: "You're building to say: here's the framework, your AI already knows where you want to go as a business, layer this on top and execute." The white paper people download and never read is being replaced by something that actually does the work. Robin is explicit about why: competing against Oracle, SAP, and Workday with a smaller budget means doing something genuinely different. The book is that thing. "I truly believe everyone has something they're really creatively good at. But if you can actually find time to focus on that, it can lead to new ways of growing your business that maybe you hadn't even thought of before." - Robin Daniels Time Stamps [4:00] Meet Robin Daniels, CBO at Zensai and Author of The Human Success Playbook [4:39] Why Robin Wrote the Book - and Why Now [6:00] The Multiplier Choice: Unlock Potential vs. Cut Costs [8:00] It's Just a New Technology - Adapt and Grow [10:00] Robin Has Seen This Before: Internet, Cloud, Mobile, AI [11:00] The Book's Setup: CEO Evan, a 40% Cut Demand, and a Better Way [12:00] The Villain Isn't AI - It's Ignorance and Fear [14:00] Internal vs. External Motivation - and Why Inner Fire Wins [15:00] The Mountain Analogy: What Leaders Owe Their Teams in Uncertain Times [17:00] How to Lead When You Don't Have the Answers [19:00] Suck It Up, Buttercup - Leadership Has Always Been Hard [22:00] Your Whole Job Is to Make Stuff and Sell It [25:00] What Taylor Swift and the Vinyl Revival Teach Us About AI and Creators [31:00] What Should the CEO Actually Do? Reorganize Around Projects, Not Hierarchy [33:00] Invest in People's Capabilities - Measure Productivity, Not Efficiency [35:00] The Human Success Score - a Sleep Score for Your Organization [38:00] Replace "Replace" With "Multiply" in Your Vocabulary [40:00] "You Can't Shrink Your Way to Greatness" - Tom Peters [42:00] The Courage to Invest in People When Everyone Else Is Cutting [44:00] The Future of Books: Build a Framework, Let AI Make It Specific [49:00] Demo: Chat With the Book at Zensai.com [51:00] The "Talk to a Human" Button - the Future of B2B Content [52:00] Final Thoughts + Connect with Robin on LinkedIn Links Connect with Robin on LinkedIn: https://www.linkedin.com/in/robindaniels/ Learn more about Zensai: https://www.zensai.com Chat with The Human Success Playbook: https://zensai.com/report/thehumansuccessplaybook The Human Success Playbook on Amazon: https://www.amazon.com About Remarkable! Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Meredith Gooderham, edited by Jon Goldberg, and our theme song is "Solomon" by FALAK. Create something remarkable. Rise above the noise. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In der heutigen Folge sprechen die Finanzjournalisten Daniel Eckert und Lea Oetjen über die große Rekordjagd der Märkte, starke Zahlen von Snap und einen potenziellen Mega-Deal in der Pharma-Branche. Außerdem geht es um Boeing, CoreWeave, AstraZeneca, Bristol Myers Squibb, Strategy, Beiersdorf, Palantir Technologies, SpaceX, Rocket Lab, Porsche, BMW, BASF, Infineon, Vonovia, Scout24, Siemens, Allianz, SAP, Amundi Core Dax (WKN: ETF200), iShares Core Dax (WKN: 593393), SPDR S&P Global Dividend Aristocrats (WKN: A1T8GD), Vanguard FTSE All-World High Dividend Yield (WKN: A1T8FV), VanEck Morningstar Developed Markets Dividend Leaders (WKN: A2JAHJ), Fidelity Global Quality Income (WKN: A2DL7E), iShares MSCI World Quality Dividend Advanced (WKN: A2DRG5), Antecedo Independent Invest A (WKN: A428XD), Sauren Ruhestandsfonds (WKN: A41QLG) und Arero Weltfonds (WKN: DWS0R4). Am 2. Oktober findet unser "Alles auf Aktien"-Summit in Berlin statt. Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket – aber nur unter folgendem Link. https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

加入會員，支持節目： https://richlife.firstory.io/join留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868「布姐的交誼廳。陪你聊人生聊職場」Line 社群https://reurl.cc/36NWEL(密碼：love)本集重點：求職轉捩點范大進參數(SAP前身)前的面試被主管刻意羞辱,學經歷、案例全被批評、SWOT被打叉丟地上,目的是測試抗壓性與臨場反應(five back能力),因為業務工作每天都會被客戶羞辱、被砍價。他一度決定不去,後來manager直接加薪50萬年薪把他挖角進去。參數(SAP)的訓練哲學公司只找各行各業的業績精英,不找同行,因為80%客戶問題都相似,可以靠系統訓練。系統銷售的三大優勢:45天(而非90天)就能上戰場、銷售週期縮短一半、方法論能提早接觸決策者讓案子變大——三個因子疊加讓公司連續40季成長。25年外商心法「不要跟錢過不去,罵不會痛」——把老闆的責罵重新框架成「這件事對公司股價很重要」,格局放大就不覺得委屈。6家外商賣的產品完全不同(維他命C式的nice-to-have、大客戶經營、工業4.0軟體、訂閱制/SaaS等),他靠「打通」方法論而非產業經驗,快速跨界複製成功。業務關係經營在細節:接待、座位安排、上菜順序、私下的都江堰導覽,都是老闆在觀察你是否靠譜。心理學與系統思維在中山EMBA接觸「五項修煉」與Human Dynamic思路測試（5種思路類型),深深影響他後續教育、mentor及人生規劃,強調「因材施教」與系統化。退休後的9份工作分成三類:有錢的(教書、出書、線上課)、沒收入但有意義的(mentor 20-40歲青年、宪哥的「重啟人生」40-60歲、三代企業轉型學院、外交部青年之星)、自己出錢推廣的(心理學思路分享會、Podcast)。心態即便有60歲的資歷和自信,面對新領域(如錄線上課)選擇「歸零」、完全信任專業指導,並相信「一定要踹過才知道」——持續學習與歸零,是他退休後精彩生活的核心。來賓 范永銀（范大／Nathan）頂尖企業銷售培訓教練。2025年度「Best100」百大企業講師推薦名單第5名。曾任全球多家知名外商企業中高階銷售主管，橫跨軟體、硬體與系統產業，累積25年第一線實務經驗，成功服務超過1,000家企業客戶，其中上市櫃公司逾百家。長期協助企業打造高效銷售團隊、培訓核心業務幹部，致力於讓銷售從個人能力進化為可複製、可放大的成長系統。 歷任：參數科技（PTC）業務經理組合國際電腦公司（CA）業務經理惠普科技（HP）大型客戶業務經理西門子工業軟體（Siemens PLM）業務總監科睿唯安（Clarivate）台灣區總經理科睿唯安大中華區智權事業部暨台灣區總經理思愛普（SAP）業務總經理范大頂尖銷售筆記https://www.facebook.com/nathanfan0313

In this episode of One Vision Podcast, Theo chats with Huyen Tran from US Bank and founder/investor at Elys Ventures. Huyen shares her path from computer engineering and early real-estate investing to two decades in banking product leadership and P&L ownership. She discusses why banks can appear slow due to resilience, regulation, legacy systems, and trust requirements, and how AI will accelerate prototyping, testing, data analysis, and iterative product development while meeting customer expectations for personalization and security amid rising fraud. A must-listen episode on startup, innovation, relationship building, and ecosystem thinking.

In today's Cloud Wars Minute, I examine why SAP's biggest competitive challenge may soon come from OpenAI and Anthropic rather than traditional enterprise software rivals. Highlights 00:00 — SAP released its Q2 numbers last week, and a couple of interesting things happened there. First of all, strong Q2 cloud revenue growth, 24%. But even higher than that was its backlog growth, which went up 26%. CEO Christian Klein tied that specifically to the company's transformation, started about two years ago, to shift more and more of the sales effort from the direct channel to the indirect channel. 00:56 — It had resellers whose big concern a number of years ago was, "Well, what margin am I going to get? What discount do I get?" Today, the focus, through the efforts of Chief Partner Officer Karl Fahrbach and Klein, has shifted very, very much toward, "How do we get successful outcomes? How do we ensure these AI deployments happen smoothly, rapidly, and effectively at the customer site?" 01:29 — It's about $7.2 billion. Within that, the Cloud ERP Suite was up 27% to $6.4 billion, and the current cloud backlog, that 26% jump, pushed it to $26.3 billion. It said growth for full-year 2026 will be somewhere between 23% and 25%. I've penciled it in here as 24%, and that will come in right at about $30 billion. 02:28 — Klein said, "The growth for our indirect channel in Q2 again significantly outpaced our direct channel growth," and this reflects, he said, a successful go-to-market transformation. He has revised the company's leadership, its product portfolio, the impression the market has about ERP and what SAP Cloud ERP means, and how the whole notion at the highest level of the autonomous enterprise sinks in. 04:20 — Now there's enterprise applications, agents, AI, and data vendors, and this growth streak it's had in the mid-20s has been very impressive. So the biggest challenge SAP has going forward will come, in some form that's unclear right now, from OpenAI and Anthropic, and exactly how those they are going to parlay their early focus on models into the whole agentic AI movement in the agents and workflow space. Visit Cloud Wars for more.

In this episode of the All Things Sustainable podcast, we explore the risks and opportunities AI presents for companies in an interview with Sophia Mendelsohn.   Sophia is Chief Sustainability and Commercial Officer at SAP, one of the world's largest producers of software. She outlines how companies are leveraging AI to become more sustainable. She also explains why many executives have "a blind spot" in their AI strategy when it comes to sustainability.   "They're racing to scale the technology, and we're treating sustainability sort of as last year's hype cycle ... instead of a condition for AI growth," Sophia says. "AI's first wave of expansion was fueled by our awe of the technology, but our second wave of the expansion has to be powered and protected by our ability to reconcile AI with the physical world we're using it in."   This episode is the latest installment in our CSO Insights podcast series, where we interview Chief Sustainability Officers around the world and across industries. Listen to other episodes in this series here.  Further reading:  AI adoption is soaring, but few companies are measuring its impact | S&P Global  S&P Global's Top 10 Sustainability Trends to Watch in 2026 | S&P Global  Copyright ©2026 by S&P Global  DISCLAIMER       By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk.    Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights).    This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.    S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST. 

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Holger Zschäpitz über Freud und Leid bei Amazon und Apple, die enttäuschenden Zahlen von Coinbase und den historischen Fall von Adidas. Außerdem geht es um Microsoft, Roblox, Reddit, Monolithic Power Systems, AXT, Marvell Technology, Live Nation Entertainment, Western Union, Infineon, Siemens Energy, Siemens, Hochtief, Siltronic, Nemetschek, TeamViewer, SAP, IREN, Nebius, Sandisk, Micron Technology, SK Hynix, Bloom Energy, CoreWeave, Core Scientific, Nvidia, AMD, Broadcom, Adobe, Arm Holdings, Lam Research, Schneider Electric, Ahold Delhaize und Walmart. Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket – aber nur unter folgendem Link. https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

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.

Think SAP is just a system of record? Think again. In this must-watch episode of PayrollBADIeS, we sit down with Siva Sundaresan, the new leader of SAP SuccessFactors, to discuss SAP's AI-native strategy and what it means for the future of HR. Siva shares how SAP is combining decades of enterprise data and business context with Joule, agents, and native AI to move beyond the hype and deliver real customer outcomes. We get into:

To start the week, SAP announced its financial results for the second quarter and half year 2026. In other news, Workday announced that Workday Adaptive Planning has achieved FedRAMP Authorization at the Moderate Impact Level. Then, Procore announced three new Digital Coworker packages that make it easier for construction organizations to adopt and scale AI. Finally, Unit4 announced Data Hub, a managed, high-volume extraction layer built into Unit4 ERPx.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

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Holger Zschäpitz über die anhaltende Chip-Krise, eine prickelnde Überraschung von Coca-Cola und Hammer-Zahlen von Seagate. Außerdem geht es um Corning, Amkor Technology, Carrier Global, Hubbell, Micron Technology, Arm Holdings, Marvell Technology, Meta Platforms, Nvidia, Goldman Sachs, Bloom Energy, Coca-Cola, Visa, Mondelez International, AIXTRON, SMA Solar Technology, Siltronic, Infineon, SAP, Nemetschek, TeamViewer, Bechtle, Mercedes-Benz, Daimler Truck, RWE, Ford, SK Hynix, Microsoft, Lam Research, Applied Materials, Nikon, Canon, Lasertec, IMAX, iShares Core MSCI World ETF (WKN: A0RPWH), Xtrackers S&P 500 Equal Weight ETF 1C (WKN: A1106A). Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket für den „Alles Auf Aktien Summit“ – aber nur unter folgendem Link. https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Send us Fan MailThis week's enterprise software developments highlight continued momentum around AI, customer experience, enterprise integration, and cloud modernization. People.ai rebranded as Backstory, while Sage expanded Sage Intacct Advisory and introduced a new Human Capital Management solution to broaden its business application portfolio. Syntax launched a GenAI-powered migration offering for SAP customers, Braze unveiled new capabilities to enhance customer experiences, and Emfluence announced an integration with Avid. Additional announcements included HUMAN Security extending agentic visibility to marketing and commerce teams, Iterable introducing a new AI agent, Precisely releasing the latest version of EngageOne RapidCX, and SAP and Google Cloud expanding their integrations to strengthen enterprise AI and cloud capabilities.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=rJ4gLeprFeIQuestions for Panelists?

In this episode, I sit down with Madeline Brady, a recruiter at InterEx specialising in the SAP contract market, to unpack how she went from nearly quitting recruitment at the end of 2024 to building an $11K weekly GP book and chasing a $1M billing year in 2026.Connect with Madeline here: https://www.linkedin.com/in/madeline-brady-068b3217a/-------------------------Watch the episode on YouTube: https://youtu.be/Gd7c00Q9cGQ-------------------------Podcast Sponsors: Claim your exclusive savings from our partners with the links below:Sourcewhale - Check Out Sourcewhale & Claim Your Exclusive Offer Here.Atlas - Check Out Atlas & Claim Your Exclusive Offer HereRaise - Check Out Raise & Claim Your Exclusive Offer Here.-------------------------Want more content like this?The Wednesday Debrief is our free weekly newsletter for recruiters who take their craft seriously. Join 7,000+ subscribers here: https://newsletter.recruitmentmentors.com/-------------------------Get in touch with me:Linkedin: https://www.linkedin.com/in/hishemazzouz/-------------------------

Anthony Sar, Co-founder and CEO of Finoverse and the driving force behind Hong Kong Fintech Week, joins Theo on One Vision to share the story behind one of Asia's most iconic innovation gatherings. From a bar conversation about hitting 5,000 attendees (when they had 300) to welcoming 45,000 people from 120+ economies at their 10th anniversary, Anthony reflects on what it takes to build something that genuinely keeps people in the room.At the center of the conversation is Samantha, built in-house by Finoverse. She acts as your personal AI networking agent. She interviews you, learns what you're looking for, and makes introductions at scale. After a successful pilot at last year's FinTech Week as well as the recent Genesis Festival, Samantha will return to Hong Kong FinTech Week 2026 this November. This year's conference is aptly themed Fintech Nexus: Bridging the World, Building the Future. It is a rallying call to drive connectivity and collaboration across global and Chinese Mainland markets, at a time when the world feels more fragmented than ever.One World, One Planet. This episode invites us to come together to foster collaboration for a more inclusive financial services ecosystem for everyone.

Plus: SAP shares rise after earnings beat. And CATL profit surges on booming battery demand. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: Crude oil slips on new hopes for peace talks. And SAP's stock jumps after the software maker reported higher quarterly revenue from its cloud business. Julie Chang hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this new episode of One Vision Podcast, Paolo Sironi joins Theodora Lau to unveil his new book, Quantum Sapiens, a philosophical literary thriller on artificial intelligence, quantum gravity, and the origins of human consciousness. A burning question: Why now?We talk about the "I love you" problem and what happens when we attribute meaning to words that machines give us. Paolo invites us to think about the journey ahead of us before we walk through Alice's mirror. What do we need to carry with us? What do we leave behind? An exhilarating conversation about the present and future of technology that you won't want to miss. No PhD required.

Don’t Fade and Die in AI Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Matt Yanchyshyn, VP AWS Marketplace, Rekha Thangelapalita, Elastic GSI Leaders; Allison McFadden, Accenture AWS Leader; and James Kang of Nvidia join Ultimate Partner. In this panel discussion, leaders from Elastic, Accenture, Nvidia, and AWS dissect the urgent shifts in the ecosystem, emphasizing that partners must adapt to AI and agentic co-selling or risk fading away completely. The conversation explores the necessity of deep co-engineering, the power of multi-product solutions in the AWS marketplace, and how automated agents are now replacing traditional human sales pipeline progression. By embracing data readiness and strategic collaboration, organizations can survive the “token maxing” era, effectively scale their enterprise opportunities, and align with NVIDIA’s five-layer strategy to dominate the new cloud landscape. https://youtu.be/zUkL4Wqsa68 Key Takeaways AI agents will automate the majority of AWS partner co-selling attachments and opportunity progressions this year. Partners who fail to embrace agentic workflows and automated governance face the existential risk of fading into obsolescence. Successful multi-product offerings require a “blood to all organs” approach that benefits the client, the ISV, the GSI, and the hyperscaler simultaneously. Nvidia’s “five-layer cake” model emphasizes that successful outcomes at the application layer automatically drive growth for all underlying infrastructure. The “token maxing” phenomenon is forcing enterprises to seek cost-effective, open-model alternatives to scale their generative AI securely. Integrating GSIs and ISVs on the AWS marketplace significantly increases enterprise deal sizes and long-term customer renewal rates. 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 strategic collaboration agreement, data readiness engine, agentic co-sell, semantic layer, token maxing, five layer cake, accelerated computing platform, open models, cloud consumption, multi-product solutions, partner central agents, propensity data, automated opportunity progression, generative AI governance Transcript Matt Y and Panel Audio Podcast [00:00:00] Vince Menzione: You have a choice. You can embrace them and figure it out and get governance and, and make your data available. Um, use the partner, central agent, move to Agen Co-sell, or you can fade and die. [00:00:11] 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. [00:00:22] 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. [00:00:44] Vince Menzione: It is the strategy because [00:00:46] Vince Menzione: being in the room changes everything. Let’s start. [00:00:51] Vince Menzione: We’ve got some amazing leaders joining us. So I think probably for a little bit of context, maybe just start with Rika. You can introduce yourself, your role and, uh, what, what you’ve been doing at Elastic. Yeah. [00:01:03] Rekha Thangellapalli: Yeah, sounds great. [00:01:04] Rekha Thangellapalli: Hi everyone. I’m Reka and I lead GSI Alliances at Elastic. Um, for the past 14 years, I’ve had the pleasure of building different kinds of partner ecosystems across companies such as SAP. MuleSoft, Salesforce, Coupa, and now Elastic. Um, I wanna thank Ultimate partner and Vince for having us here today. Thank you and the panel of these incredible speakers for joining me on stage. [00:01:31] Rekha Thangellapalli: Um, very excited for the conversation today. [00:01:33] Vince Menzione: We love Elastic, and you’ve had some of your other leaders on stage at other events. As such, the quality of your leadership team is amazing. Thank you. [00:01:42] Rekha Thangellapalli: I wholeheartedly agree. [00:01:45] Allison McFadden: Excellent. Um, hello everyone. Allison McFadden. I lead our North America AWS practice at Accenture. [00:01:52] Allison McFadden: Uh, I’ve been there for five years, and truth be told, it was my first partnership role, my first formal partnership role. Uh, so I can take some tips from all of you in the room here today. Prior to that, I was 21 years with IBM, and I got into partnerships because my last role at IBM was actually trying to build. [00:02:14] Allison McFadden: Linux business on the mainframe, and I had to have partners. I had to have partners to help me with workloads to run there. So I kind of learned, uh, trial by fire. But I’m excited for the conversation today. Excited to be in this room and excited to talk about what we’re doing with, uh, elastic. Thank you. [00:02:34] James Kang: Uh, my name is James Kang. Nice to see and meet everyone here. Vince, thank you for the opportunity. Thank you [00:02:38] Vince Menzione: for being here. [00:02:39] James Kang: Um, I’m with Nvidia, so I help manage the AWS partnership at Nvidia all up. Um, I guess fun fact, I’m former AWS and so I see a lot of very familiar faces here in the front row. Uh, former colleagues and then current friends. [00:02:56] James Kang: And so, uh, looking forward to the conversation. [00:02:59] Vince Menzione: Great. Well, we’ll start with an easy tia. Matt. This is not directed to you, directed to the others. So what does a successful AWS partnership look like from your C? So we’ll start with Eureka. [00:03:09] Rekha Thangellapalli: Sure. So from an ISV perspective, I think we really are looking at three things. [00:03:15] Rekha Thangellapalli: Uh, mutual investment building together. And scaling together. So when we talk about mutual investment, elastic recently signed a five-year SCA or strategic collaboration agreement with AWS. And while that is a significant milestone in our partnership, for us, what matters more is what it represents, and that is really a long-term commitment from both companies. [00:03:39] Rekha Thangellapalli: Towards product engineering, um, and joint go to market initiatives to deliver value to customers over time. And that’s what we see is that the best partnerships really compound and they build upon each other every year. Um, they don’t necessarily kind of reset every year. Um, next we talk about building together. [00:03:59] Rekha Thangellapalli: So, um. When we talk about joint solutions, we want to deliver solutions that are better together and the customers have to see us that way. And so whether it’s search, observability, or security, we’re looking at taking to market solutions that we can’t or necessarily don’t wanna take on our own. And finally we talk about scaling together. [00:04:22] Rekha Thangellapalli: And this is where marketplace, for instance, plays a big role, um, when customers can draw down on their cloud commitments, transact online and go from, you know, pilot to enterprise scale adoption in hours, not days. Um, this is when really everyone wins. Um, and this is also where partners like Accenture play a critical role. [00:04:47] Rekha Thangellapalli: Um, you know, the incredible amount of expertise that they bring, uh, the managed services capabilities and, um, their data assets actually play a huge role in having our customers realize that value faster. And, um, like Vince mentioned, at the end of the day, best partnerships are all all about creating kind of that. [00:05:07] Rekha Thangellapalli: Self-sustaining flywheel. And so it starts with investing together, building something unique, and having the customers realize that success faster because that success is really the only thing that’s gonna keep that flywheel going for everyone involved. I [00:05:26] Vince Menzione: absolutely. [00:05:26] Allison McFadden: Okay, amazing. I’m gonna riff off a few things Ika said, but from a GSI perspective. [00:05:32] Allison McFadden: A relationship with a WSA successful relationship with AWS looks slightly different. Um, so I think the first thing that we think of in the GSI Community common thread is that the client outcome and delivering value for clients is what we, what we’re striving for. Um, and so the partnership with AWS in that case, um, um, it has to, it has to. [00:06:01] Allison McFadden: Look like one team in front of our clients. So we have to show up indistinguishable, and that’s with AWS and with an ISV partner, it has to look like one solution in front of the client, especially moments that matter. So board meetings, um, you know, the time we’re gonna sign a deal, like we have to look like one team, uh, and keep our our client outcome, um, first and foremost in mind. [00:06:24] Allison McFadden: The second thing, and this is I think where the magic of all the people in this room comes into play. We can have as many discussions at a CEO level as we want. And if our client teams on the ground are not working together, it falls apart. Falls apart directly in front of the client. Yes. And that is a really hard thing to do. [00:06:45] Allison McFadden: So I’m passionate about the alliance work because that that work is what makes it happen at the corporate level. [00:06:53] James Kang: Cool. Um. I’ll start here. So in Nvidia is a accelerated computing platform company. Um, if you asked. Anyone on the, on the street about a year ago, what is ai? A lot of times they would say AI is, is open ai, or it’s philanthropic. [00:07:12] James Kang: Um, Jensen and I’ll, I’ll reference Jensen a lot today, um, because he is our leader, um, but he also sets the strategy in the direction for Nvidia. He talks a lot about AI in the metaphor of a five layer cake. And in terms of the five layer cake, you start off with the foundational bottom layer being power and energy, which sustains. [00:07:32] James Kang: All of our data centers, you move up the stack in terms of chips. So things think of Foxconn, think of TSMC. Next you have the infrastructure layer. So obvious choice is AWS, and then you get to the models where you do have the philanthropics and the open ais. But finally in at the precipice, you have the application layer. [00:07:53] James Kang: Ultimately, the reason why I mentioned all different stacks of the layers, the five layer cake, is the fact that the application layer is the most important. And so when you think about. Partners like Elastic or ServiceNow Trend, ai, CrowdStrike. Every time you pull from the application layer and you see a success, it pulls all five different components of that layer up. [00:08:13] James Kang: And so ultimately, as I think about success, it’s it’s being able to develop these co-sell wins at the application layer and really demonstrating that through extreme co-engineering and co-design with all the different application. Infrastructure, power and energy layers in mind. Um, Jensen also likes to think of himself not only as the CEO and founder, but also as the, the chief Marketing Officer. [00:08:35] James Kang: We are a very event driven company, and so at our big events like GTC or at big industry events like CES or Computex, he likes to show up on the biggest stage, biggest stages and showcase the partnerships with not only ISVs and GSIs, but also with end customers. And so that’s what I think about when I think of SA success. [00:08:56] Vince Menzione: That’s a really good point. You talked about, Allison, you talked about having an alliance strategy, or at least you teed it up, so I thought maybe we would go there for a second. Right? Like, what does a great alliance strategy look like and why is it important to the success of the partnership? [00:09:11] Allison McFadden: Man, I, uh, I have so many opinions on this. [00:09:13] Allison McFadden: We could probably be up here all day. That’s [00:09:15] Vince Menzione: okay. [00:09:16] Allison McFadden: Um, no, I think. Uh, there, there are a couple things, and the first one that comes to mind is focus. We cannot be all things to all people. Um, so when it comes to think about some of the, the work we’re doing with Elastic, we have a very, very clear point of view on what client problem we’re solving, what clients we want to talk to. [00:09:38] Allison McFadden: It helps if, um, from an ISV perspective, if there’s a very clear fit in. The Accenture portfolio or whatever, you know, SI consulting partner. You’re working with a very clear fit in the portfolio and we know what we’re not gonna go after, what we’re not gonna spend our time on because we have, we have this tendency, there’s millions of people. [00:10:00] Allison McFadden: The ecosystem chart that, you know, Vince, you showed up there, there’s so many connections. There’s probably more connections there than there are atoms in the universe, right? So, um. Defining what we do together and what we don’t do together is the first thing that pops to my mind. [00:10:19] Vince Menzione: Reka, do you have a perspective on it since we’re gonna, we’re gonna talk next about what you’ve done together, but, and I also wanna get mass perspective as a hyperscaler partner here as well. [00:10:29] Rekha Thangellapalli: Yeah, I mean from my perspective, I, I’m gonna, you know, kinda echo what Allison said is to be just maniacally focused. Yep. Um, because, especially from my perspective, so Elastic has three different solutions, right? We’ve got search, we’ve got observability, we’ve got security that map to completely different business units within Accenture. [00:10:47] Rekha Thangellapalli: And of course Accenture does a lot of things. And so, you know, when we first came together it was like. Okay, what are we gonna focus on? What industries are we gonna go after? Which segments are we gonna go after? Which customers, you know, um, outcomes are we trying to solve? And I think that sort of maniacal focus is the number one contributing factor to, to the fact that I’m like, up here on stage today. [00:11:12] Rekha Thangellapalli: Great. [00:11:14] Vince Menzione: Matt? Perspective? [00:11:16] Matt Yanchyshyn: Yeah, I, I, I guess I was trying to. To add something, uh, additional from an AWS perspective, uh, when it comes to, you know, what does a great alliance look like? Uh, AWS is obsessed with data, you know, in data we trust. And, and so the best, um, and, and this goes sales business problem, and it’s not just the engineering teams. [00:11:34] Matt Yanchyshyn: And so, uh, you know, Accenture does a good job of this elastic, definitely. And if you can come to the table with, um, quantifiable proof of the value of customer outcomes and partnerships. Um, you’ll win all the time and it’ll be a durable relationship with AWS ’cause we really are this data obsessed company and, and even the most senior sales leaders. [00:11:54] Matt Yanchyshyn: Uh, and so what I mean by that specifically is like if you, if you can show like your a RR to land an a RR conversion ratio, like in in numerical format, it’ll light up our sales leaders and, and they’ll be all, and they will co-sell with you all day long. If you can show the, I mentioned this earlier, like the AWS service, uh, whether you’re consulting company or, um, elastic and, and how the shape of customer accounts change positively when we work together. [00:12:15] Matt Yanchyshyn: That type of sort of quantifiable data works particularly well from an alliance perspective. With AWS as a partner, we, we really are like this data in sort of results out company. Um, so I, yeah, that’s just adding to the great points that were already made. I would say specific to AWS that that’s key. [00:12:30] Matt Yanchyshyn: Yeah. And I’m gonna bring up one more thing. I want to dive in on the, the joint value proposition, but you mentioned something that made a lot of sense and resonated to me about the organizations once you get out of partner, the partner world that we all know and love. Mm-hmm. Once you get down into a field organization or account management organization. [00:12:49] Matt Yanchyshyn: Not as much understanding and really organizations do a bad job here, honestly, in terms of enabling the field organizations. Do you agree? [00:12:58] Allison McFadden: I agree because I, I agree. And, um, you know, I think that’s one of the things, and, and I, I, when I joined Accenture, what we had was a lot of wicked smart architects delivering programs to clients in the field. [00:13:15] Allison McFadden: Very smart, very deep in AWS knowledge. Um, and that was awesome for the 10 clients they were staffed on and to get that understanding of how AWS works and I dream about lar, right? Like, this is a good, you know, but that takes real effort and real work. Yeah. And it’s, it’s um, almost like being a language translator. [00:13:37] Allison McFadden: Yes. For me. Yeah. So, you know, I had to deeply learn AWS so that I could. [00:13:42] Rekha Thangellapalli: Sure. [00:13:42] Allison McFadden: Teach my account teams. My account teams are really smart. They know who they’re selling to. They know their customers. They know what their customers need. They do not know what AWS has to offer always because they’ve got 20 partners lining up to try to tell their stories. [00:13:57] Allison McFadden: Um, they don’t know how to ask of the AWS team or the elastic team or the Nvidia team. Yeah. What they need [00:14:02] Vince Menzione: this co-selling piece. Yeah. [00:14:04] Allison McFadden: And so that is where, um. We had to build that muscle even around our AWS practice, which was a huge practice at Accenture, but we didn’t necessarily surround it with that kind of enablement and um, almost deal coaching layer. [00:14:21] Vince Menzione: So Elastic and Accenture came together. I dunno which one of you wants to lead this part of the conversation, but you will, right? Yeah. So tell us about the genesis of this and why. And a lot of people dunno what Elastic does, but you do some really incredible work. Like I, somebody told me one day was like, oh, you know, Uber, like, that’s elastic, powering all that. [00:14:41] Vince Menzione: Like, we don’t think about that. That the engines that you have and the, the backend to the customers, huge customers. [00:14:48] Rekha Thangellapalli: Yeah, absolutely. Um, so when AWS launched this feature last, um, reinvent where basically it allowed, you know, channel partners such as Accenture to be able to bundle up their services, their data assets with an ISV solution and put it on marketplace, um, you know, Accenture and Elastic immediately saw an opportunity. [00:15:09] Rekha Thangellapalli: Um, at the time most customers were doing gen ai. But they were running into the same challenge, which was that their data just was not ready. And by the way, this is a problem we were solving. Outside of marketplace. I think the, the feature that you guys launched just gave us a way to package it up and to be able to create this repeatable solution, which we call data readiness engine for gen ai and put it on marketplace. [00:15:40] Rekha Thangellapalli: And, um, this to me was a success because. Each company had a clear reason to invest. Um, so for Accenture, they were able to, you know, create a very differentiated services led offering. Uh, for Elastic, we were able to expand on our AI story. And for AWS, um, you know, it drives marketplace adoption, increases cloud consumption, all of that great stuff. [00:16:07] Rekha Thangellapalli: And customers, of course get. A solution to a very real problem that, that they were having. Um, and you know, the surprising part for me going through that journey was that, um. The pitching, the idea, getting the budget, getting the executive sponsorship was actually the easy part. The hard part was getting all three companies to come together, uh, to go from idea to launch in a very ambitious timeline of six weeks. [00:16:37] Rekha Thangellapalli: Nice. And so, you know, this was very much like. Doesn’t matter your title. We’re rolling up our sleeves and we are on this outcome together. Um, and so we literally built a RACI matrix, a project plan, and you know, we had daily standup calls for six weeks where literally. At least one person from each three of these companies called in, you know, got rid of any blockers and we made sure we were on target for that timeline. [00:17:07] Rekha Thangellapalli: Um, and you know, at the end we had a successful launch. But I think my favorite part about the story is the impact that we’re having and, um. My favorite story comes from a global pharmaceutical company that, you know, had basically nine petabytes of data spread across six different continents. Wow. And by working with Accenture and Elastic, they were able to build that trusted foundation that their AI and their agents can, you know, kind of safely tap into and be accessible at scale. [00:17:41] Rekha Thangellapalli: Um, so that’s my version. Allison. [00:17:44] Allison McFadden: Yeah. Well, I don’t have a lot to add. I just, I would say this is a good example of a couple of principles, right? One is having a forcing function is never a bad idea. Sign up for a big event, sign up. I’m like, I’m here with my, you know, Nvidia guys saying, sign up for the event. [00:17:58] Allison McFadden: It’ll make you move quick, right? [00:18:00] Audience Member: Yes. [00:18:00] Allison McFadden: Um, so that is one, but two, one of my mentors once told me, when you’re designing any kind of, you know, offering go to market motion, it has to get blood to all organs. If it does not get blood to all organs, it does not go [00:18:14] Vince Menzione: nice. [00:18:14] Allison McFadden: Um, [00:18:14] Vince Menzione: I love that analogy. [00:18:15] Allison McFadden: Oh, I love it. And I can talk all day. [00:18:17] Allison McFadden: That guy was brilliant. I love him. But, um, no, and, and so Elastic did a really nice job of bringing the tech to the table. Um, our team has to trust in that technology and its ability to scale, right? Um, because at Accenture we have to be able to deploy across 700,000 consultants. Um. And yeah, so I think those are the two, two things that really worked well here is we had, uh, trust in the technology solved a customer need. [00:18:50] Allison McFadden: Um, it drives, we don’t even talk about, like, yes, it drives marketplace revenue, but it unlocks work that we do that drives even more revenue to our AWS Friends. Right. So this is a, this is a, um, product that’s getting your data ready for AG agentic. It’s a messy problem that everyone’s dealing with, and it removes blockers for clients and it unlocks more, you know, ag agentic work on top of that. [00:19:15] Allison McFadden: So, blood to all organs. [00:19:17] Vince Menzione: So, was that the proposal going forward to say we need to have, we need to have trust in the solution. We need to drive significant revenue. It needs to be something all of our, you know, seven, 700,000 people. Can be a part of and help drive? Is that how you think about? [00:19:32] Allison McFadden: Yeah, and for us right now, um, it’s an interesting time for Accenture. [00:19:36] Allison McFadden: Our clients are asking a lot of us, and what it does is it having some of these accelerators helps us deliver cheaper, better, faster to our clients, which is what they’re demanding of us right now. Um, so it’s an accelerator to client outcomes. [00:19:55] Vince Menzione: James, what is NVIDIA’s role and how do, how do you enter the equation here? [00:20:00] James Kang: Yeah, it’s, um, it’s a good question. Um, I, I would say that Nvidia is probably one of the most misunderstood organizations in the world. Um, despite the, uh, the market capitalization in the valuation of the company, we have a very tiny organization. Um, what I mean by that is, um, if you think about. [00:20:20] James Kang: Salesforces and field sales organizations. Um, we’ll take Salesforce as the account or the customer. As an example, we have one account manager at NVIDIA that no, not only covers and is responsible for the relationship with Salesforce, um, but also manages. Automation Anywhere as well as DocuSign. Whereas at AWS, in contrast, like there are full armies and teams Yeah. [00:20:45] James Kang: That are supporting the Salesforce relationship. And so as you think about partnering and working with Nvidia, the focus has to be on really. Extreme co-design, but also being very prescriptive in terms of what are the very specific customer outcomes that we are solving for. And the guidance that I would give is bring in Nvidia into that equation and that conversation as early as possible because that [00:21:10] James Kang: co-engineering and co-design needs to be part of the foundational building blocks in order for you to come out with a end solution that checks all those different requirements. [00:21:20] James Kang: And so I think. Again, like going back to Nvidia, um, we like to talk about two different types of brains. A brain one and a brain two. Uh, brain One you think about the next quarter and making sure that you’re hitting the revenue targets for the next quarter. Brain two, you think about a long-term goals and potentials looking around corners and being very strategic. [00:21:41] James Kang: The saying internally is without Brain one, there is no oxygen, but without brain two, there is no future. And everyone at NVIDIA is trained to think in that brain two mentality. [00:21:52] Vince Menzione: Wow, Matt. [00:21:54] Matt Yanchyshyn: Yeah, I, I was just thinking I love the blood doll organs. Uh, and so just on, on that note, um, and, and, you know, the multi-product solutions that, that you, you built together, uh, that is a really good example of blood do organs because like we all know, that’s how customers buy. [00:22:07] Matt Yanchyshyn: They, they buy solutions and increasingly they’re looking for combinations of ISV, sometimes multiple products from multiple ISVs with services. Uh, often they’re buying it through a resell motion. You know, and they, and, and so that from a customer perspective, they want a single place to go. And so that’s the multi-product solution. [00:22:24] Matt Yanchyshyn: They wanna find everything they need, they need Accenture, they need Elastic to solve a specific solution. And I think where that’s headed is even more specific listings, like with AI powered listing experience, like, you know, elastic Plus Accenture for, I’ll make something up like a manufacturing workload. [00:22:37] Matt Yanchyshyn: And so this solution based. Uh, sort of buying is, is very customer centric. It’s what customers want. We all know that. But that’s, that’s the customer sort of organ, I guess. Um, but then, you know, you all have SCAs and those SCAs have marketplace commits. It helps if that gets transacted through marketplace helps the AWS relationship, you know that that’s an organ. [00:22:55] Matt Yanchyshyn: It’s the relationship. It’s, it’s the commercial construct and that you have, uh, that that’s another organ. You’re marketing people. They, that’s another organ. They don’t wanna land, uh, leads on a static marketing page. They wanna land a lead on a, a storefront with a multi-product solution that can actually convert and that you can actually buy it through that. [00:23:12] Matt Yanchyshyn: So the marketing person’s happy because they, they have less churn. Uh, and then, you know, our reps are happy ’cause guess how they get paid? They retire quota when they sell Marketplace. And they, we also, Jay McMain will tell you, that’s another organ called Jay or on, on you now. Um, [00:23:27] Matt Yanchyshyn: he’ll like that. I’ll call him up and tell him that. [00:23:29] Matt Yanchyshyn: Yeah, [00:23:30] Matt Yanchyshyn: but he, he’ll tell you, you know, don’t believe me. Obviously, never believe Matt, believe, believe the, the data and, and his data shows that. Those deals will close faster and larger if you use marketplace. So that’s, that’s a lot of organs. That’s the whole body. Um, but you know, when you have your customer happy ’cause that’s how they wanna buy your field happy. [00:23:45] Matt Yanchyshyn: Um, and, you know, the relationship happy and you know, your marketing team happy. Uh, and, and Jay happy. Um, and, and you know, I think that multi-product construct and, and the way you kind of use it to model a partnership and the way buyers ultimately wanna buy is, is really powerful. And so I, I think it’s, you know, it’s really a manifestation of how. [00:24:04] Matt Yanchyshyn: We kind of intend and to go to market anyway. Uh, so I think, you know, and thanks for leading the way, by the way. You’re, you’re amongst the very first, so that’s great to see. [00:24:11] Matt Yanchyshyn: So these storefronts are really helping this drive, drive this. Well, [00:24:13] Matt Yanchyshyn: that’s the next evolution. Like we’re talking about the multiproduct solution. [00:24:16] Allison McFadden: I’m JJ Accenture storefront. [00:24:17] Vince Menzione: Yeah. Oh, there you go. I mean, j and j Accenture storefront. [00:24:20] Allison McFadden: We’re gonna talk about that. [00:24:20] Matt Yanchyshyn: Yeah. I mean, [00:24:21] Matt Yanchyshyn: Accenture also leading the way yet again with storefronts. And so I think the combination of. You know, again, I was talking a lot about conversion. Yeah. And you know, buyers know sometimes they know what they wanna buy and, but if you really wanna convert that lead, you wanna land them again, something that combines, you know, elastic Accenture’s services plus software, but in a storefront that is, you know, surrounding with just the solutions they want so they don’t need to kind of go searching. [00:24:42] Matt Yanchyshyn: So, you know, ultimately reducing that time to close, I guess, really ’cause meeting the customer where they are with what they need. [00:24:51] Matt Yanchyshyn: So we talk about co-selling a little bit. We, Jay and I talk about this all the time. We gotta keep looping Jay in here, even though he is not even in town this week, but Reko, um, what does co-sell look like inside Elastic? [00:25:02] Matt Yanchyshyn: You’ve got, we talked about an incredible leadership team. I’ve gotten meet some of your leaders. Seems like you drive, you do a good job internally driving that. Let’s talk a little bit about it. [00:25:11] Rekha Thangellapalli: Yeah, and this is something I’m, I’m personally very passionate about. Um, co-sell is. Very much a journey, not a destination. [00:25:20] Rekha Thangellapalli: And I think step one for us is recognizing the different partner types that we have. Because at Elastic we work with, you know, OEMs, MSPs, resale distributors, GSIs, um, and they all bring something very unique. To the customer lifecycle and they all contribute very differently within, you know, our own sales cycle and sales process. [00:25:45] Rekha Thangellapalli: And so, you know, figuring out what is the unique benefit they bring, how do we enable them? So training and enablement is a huge piece of it, and so is making sure we’ve got the right metrics to measure success. Um, I know a lot of companies look at partner sourced as the north star, and that’s great, right? [00:26:06] Rekha Thangellapalli: Because that is undeniable. You can say, Hey, that would not exist if it wasn’t for my partner team. Um, but we’ve also noticed that when we bring in GSIs, it actually increases renewal rates. It significantly increases. Um, a RR over time. Um, it expands deal sizes and so these are very real metrics that we can point to, um, beyond just the co-sell and the partner sourced number. [00:26:32] Rekha Thangellapalli: Um, so for us it’s looking at it from a very holistic perspective, but also catering it towards that unique partner and making sure we’re doing everything we can to set them up for success and setting up the partnership for success. [00:26:47] Vince Menzione: So clo close win ratios, deal size and renewal rates? [00:26:52] Rekha Thangellapalli: Yes. For specifically for geos size. [00:26:54] Rekha Thangellapalli: Yeah. [00:26:55] Vince Menzione: Very interesting. Allison, uh, what had to change internally to produce these co-selling? We talked a little bit about the field organization and enabling a, a group of, and, you know, account sellers that are very customer focused and enabling them on the co-sell side. What had to change internally to drive that? [00:27:13] Vince Menzione: Yeah. [00:27:14] Allison McFadden: I, I might have already alluded to this a little bit in a previous answer, but, um, creating the capacity to develop, build, and sell these solutions, um, inside of a large GSI, where billable hours is kind of the number one metric on the table. Um. Is part of the investment that we had to make within Accenture to get this done? [00:27:36] Audience Member: Yeah, [00:27:36] Allison McFadden: so expert technology time. So we have technologists that understand the elastic technology. We do similar with Nvidia, by the way, we. We released some of their time to go co-develop the solution because it has to hold technical water, right? It can’t just be a marketing pitch. It can’t just be, it has to be a real, um, what’s the there, there. [00:27:59] Allison McFadden: So in order to actually do proper co-sell, we had to release some of that time. Um, to invest in those partnerships. Um, we’ve also done similar with some industry aligned business development leaders recently, so we have freed their time up to go. Uh. Open new conversations, educate client, account teams, go to clients, have conversations. [00:28:26] Allison McFadden: Um, so that, that’s a new motion that we, uh, have just kind of recently made, um, to allow them, I love this brain one, brain two also, right? So to allow them to focus on brain two, because a lot of our time. Typically spent delivery issues, you know, getting my hours, where am I charging my time? And so just freeing up a little of that capacity to do this work, um, helps get us in this brain two mode where we’re not just living to survive. [00:28:56] Vince Menzione: I. So, Matt, you’ve removed a lot. I mean, one of the things I admire, I admire AWS for being first to market and removing the most friction in marketplace of any of the vendors. Really, truly that. You talked about some of the announcements. How does some of, how does some of this tie PC central agents propensity sales plays, MCP, how does some of this tie to how, how you’re thinking about the future? [00:29:18] Vince Menzione: And how to enable more motions like this. [00:29:20] Matt Yanchyshyn: Yeah. Well, I, I think if you know my boss, UBA Borno, uh, you’ll know that she has a maniacal focus on automation. Yeah. Um, and, uh, co-sell is increasingly automated. You know, you were asking earlier about propensity data. You can get that propensity data in addition to sales plays and, uh, opportunity scores through the partner central agents. [00:29:38] Matt Yanchyshyn: So things that used to require multiple calls to A PDM, if you’re lucky to have one. Yeah. Or a p sm. Uh, you, you can now get through, through these agents, you know, uh, tech Systems, TGS, they, they manage what, over 5,500 customer opportunities with agents that they built on top of our partner Central APIs. [00:29:55] Matt Yanchyshyn: Um, and work Span has built a whole product and business that’s right on leveraging, uh, our APIs, our capabilities to sort of tie into your CRM. So, majority of all opportunities will be progressed and managed by agents. This year at AWS, we already have a majority of all customer opportunities, all app have a partner attached and I, I took a personal goal for a majority of those partner attachments, not to happen from a human. [00:30:22] Matt Yanchyshyn: But from our solution matching engine. And how do you get recommended by that solution? Matching engine, having a healthy ACE pipeline, thanks to partner central agents and the integrations you’re doing. And in addition to being the specializations and doing things like multi-product solutions and ultimately closing opportunities, you dream of LAR and so LAR will help that. [00:30:40] Allison McFadden: It’s more like a nightmare. [00:30:41] Vince Menzione: And so, you know, [00:30:42] Allison McFadden: it’s more like a nightmare, but [00:30:44] Vince Menzione: nightmare. Well, it’s, it’s, yeah. Nightmare of Laura and, and. Nice dreams of PRM, but the, um, but that’s the loop, right? I, I think, uh, increasingly co-sell for us, and in my mind, is largely a hundred percent automated. Yeah. Except for what matters most, those most largest, most strategic, most complex deals. [00:31:01] Vince Menzione: Where our highly paid and very skilled salespeople are most effectively used. [00:31:05] Vince Menzione: Yeah. [00:31:05] Vince Menzione: You know, the days of, you know, this person with 20 years experience selling, clicking, progressing opportunities through a pipeline, uh, should be over. Uh, and, and we need those people out, out selling and, and co-selling. And so that for me. [00:31:19] Vince Menzione: Yeah. That, you know, we talk a lot about co-sell, but I, I’m obsessed with automating as much of the co-sell as possible. [00:31:24] Vince Menzione: I remember going back to the ex Excel spreadsheets and, and that, that seems to be be Viva became spreadsheet jockeys. [00:31:31] Vince Menzione: Yeah. [00:31:32] Vince Menzione: And, and they stopped selling. They forgot how to sell. [00:31:34] Vince Menzione: Yeah. And people spend all this time doing lunch and learns and things like that. [00:31:36] Vince Menzione: And then, you know. Then the salespeople rotate out after 18 months and, and it, that’s, that’s the old days. Uh, you know, the new days are, are AI powered matching algorithms, uh, ag agentic co-sell, using the partner essential agents to get your data and, and putting that data to use automatically and, and what sounded like magic. [00:31:51] Vince Menzione: 12 months ago is being done, you know, by partners at massive scale across thousands of opportunities. You can do it today. And you know, I, there’s a guy named another Mike, right? Mike another Mike who they have, there’s like a guy who’s doing all this and I’m picking on Mike ’cause I, I know their system really well and I know the guy Mike grew easily built it for them. [00:32:08] Vince Menzione: Um, but, you know, I think, yeah, again, in the days of having 10 people sort of doing lunch and learn could be replaced by one or two people, building agents, uh, managing a massive pipeline. And, and that’s the future. [00:32:18] Vince Menzione: Exactly. James, your perspective on what breaks with co-selling? [00:32:22] James Kang: Oh, what breaks co-sell? Um, I would say. [00:32:25] James Kang: It, it starts and finishes with just misalignment and a loss of trust with the customer, especially when you have multiple partners or stakeholders involved. If you’re trying to do a three-way deal with a end customer and you’re not on the same page, you’re not gonna get to a successful outcome on, on the backend. [00:32:44] James Kang: Uh, the fix is a much more complicated story. I would say that to take a step back, um. We’ve talked about the five layer cake. We’ve talked about where NVIDIA kind of fits within the equation. We are invested in the ecosystem and so as different players and application organizations win and see these outcomes for end customers, we celebrate that success. [00:33:07] James Kang: Um, and as part of that kind of ethos of where NVIDIA fits within the ecosystem, we wanna make sure that not only. Our customers, but our partners like ISVs and GSIs are set up for success. Um, we do not as Nvidia sell hardware or GPUs directly to customers We use. Hyperscalers like AWS as kind of our force multiplier. [00:33:31] James Kang: And similarly we think of ISVs and GSIs as the force multipliers in terms of our extensions of how we, we kind of leverage the relationships and build the trust with our end customers. And so going back to kind of the question, Vince, I would say that it all comes back to trust and being able to build that mutual trust. [00:33:48] James Kang: Um, a lot of what we do when we co-sell with AWS is really on the software layer. Um, we actually have more software engineers at NVIDIA than we have hardware engineers, which is a weird thing to say, um, because everyone knows us for our GPUs. But because of that fact, we are heavily invested in Cuda and making sure that Cuda becomes the foundational layer for how not only our ISVs and GSIs, but also our end customers are building. [00:34:12] Vince Menzione: Very cool. So Reiki, you and James together on this production. Versus pilot with the Gentech ai. Tell us a little bit more about that. Where, where are you in the process? [00:34:24] Rekha Thangellapalli: Yeah. So I mean, in general, what we’re seeing out in the market in, in relation to sort of AI and, and customer’s journeys is that, um, at least from an elastic perspective, um, we’re seeing people very much in production when it comes to, you know, kind of AI assistant co-pilot use cases. [00:34:42] Rekha Thangellapalli: So, you know, things like, um, software development, customer support is a big one. Um, any sort of employee productivity use cases where there’s. Still a human in the loop somewhere. Um, and there’s a very like, clear path to value. And so we see the customers being in production excelling there. Um, no problem. [00:35:01] Rekha Thangellapalli: Where we’re seeing people still kind of in the pilot phase is those fully autonomous workflows where there is no human involved. The agent is reasoning on its own. Um, accessing multiple systems and taking an action on the user’s behalf. And what we’re seeing is that it’s not the intelligence of the agent that’s holding it back. [00:35:26] Rekha Thangellapalli: It’s more about giving the right context to the agent and having the right. Security kind of governance controls in place for the company to feel comfortable in putting these fully autonomous workflows into production. And that’s really the conversation we’re having is all right, what are the controls you need in place? [00:35:47] Rekha Thangellapalli: For you to release this to your business unit. Um, and what is the context that the agent is needed before we can comfortably let the agent make the decision on the user’s behalf? Um, James, I’d be interested to hear what you’re, what you’re seeing in the market [00:36:03] James Kang: plus one on all things context. I, I would even go so far as to say, um. [00:36:09] James Kang: H how many folks in the audience have heard of token maxing? Like this new term? [00:36:13] Rekha Thangellapalli: Yeah. Yeah. [00:36:14] James Kang: Um, I’ll, I’ll give a very specific example of, of Uber that went public. With the example of Claude, like they allowed all of their employees to use as many tokens as possible, and within the span of four months, they exhausted their full budget for the year, and so they had to pull back, and now there’s a cap on every employee. [00:36:33] James Kang: I think the number that’s circulating is $1,500 per month per employee, and so I think that is at least. In this multi-phase evolution of where we’re going to be and where we’re today, cost has become kind of the prohibitive force in terms of agentic AI at scale. Um, I think we are working on some very creative solutions in-house and Nvidia. [00:36:55] James Kang: Um. And we saw some really dynamic announcements this week when it comes to all things agent core, um, where we want to focus on very nimble ways for customers to be able to execute and go to market. And one extreme example of that is our investment within our open model strategy. So Nvidia, not only, again, providing GPUs, we actually offer our own op open models, which we call our Nitron models. [00:37:21] James Kang: And through our Nitron models, we are allowing customers to really develop and fine tune their own proprietary models in a cost effective manner. So right alongside the frontier models like OpenAI and Anthropic. It’s not a if then, it’s not an either or statement. It’s a, it’s a permutation, it’s an and So we’re giving you a cost effective alternative to not only bring your AgTech applications at scale by training on Nibo tron, which is open source, but then once you’ve kind of finished and fine tuned that specific training job to be able to. [00:37:53] James Kang: Go ahead and utilize your frontier models, whether it be OpenAI or Claude. And I know there’s other partners here that are providing those kind of different model capabilities. And so I think for us it’s, it’s a matter of choice. We know that this market is dynamic. It’s gonna be evolving over the next coming months as well as the next coming years. [00:38:10] James Kang: Uh, but we believe that we are positioned for a really unique dynamic expansion of AgTech use cases over the, at least the next three to six months. [00:38:20] Vince Menzione: Allison, for the partners in the room who are glazed over right now going, what do I, what do I do over the next 12 months? [00:38:26] Allison McFadden: Should I wake everybody up by saying, yeah, please. [00:38:27] Allison McFadden: Say go hurricanes. [00:38:28] Vince Menzione: Yes. [00:38:29] Allison McFadden: Is there anyone, anybody? Everyone’s like, boo. I get to leave the parade today to go home to parade. I live in Raleigh, so we’ve got our parade on Saturday. Nice. [00:38:39] Vince Menzione: Nice. [00:38:40] Allison McFadden: All right. Wake up. Um, all right. So for the $50 million partners in the room, um. $50 million is not small. You have something that works. [00:38:50] Allison McFadden: Right. This is great. What I would be thinking about is, you know, we’ve talked about focus before, but really doubling down on, you know, what is, what is your industry, what is your client like, ideal client that you serve. And build, um, almost that kind of community. You know, the, the clients we have move from firm to firm to firm. [00:39:17] Allison McFadden: And if you’ve done good work at one, you’re gonna follow ’em to the next. Um, so build that client demand in a specific place or specific client profile that is just like really knocking it out out of the park for you. Um. Scale with marketplace, right? So if you, I, I love some of the data that you were sharing in your talk earlier, um, because it’s like no overhead scaling mechanism. [00:39:45] Allison McFadden: I mean, it’s, it’s fantastic. Um, Accenture, other GSIs like us, we are investing in marketplace. So we’re investing in resources, um, to help us. Use marketplace more with our clients and we’re gonna capture, right, those storefronts. And if you’re present on marketplace, you’re gonna be able to catch, uh, yourself in that wheel. [00:40:09] Allison McFadden: So I think those are the, the kind of couple of things I would say is focus, focus, focus to drive that client demand and use scaling mechanisms like marketplace to really kind of, uh, accelerate. [00:40:24] Vince Menzione: Matt, anything to add there on the. [00:40:26] Vince Menzione: Well just, you know, Ja, James, you, I love the token maxing reference in Uber and it reminds me, you remember when cloud came out and everyone was like, oh, all these people are, are gonna use the cloud and costs are outta control and. [00:40:39] Vince Menzione: Um, a lot of people pulled back from the cloud and, and a lot of those companies no longer exist. And it’s similar with, with, uh, token maxing, like, oh, these agents are outta control. You have a choice. You can embrace them and figure it out and get governance and, and make your data available. Um, use the partner, central agent, move to agent to co-sell, or you can fade and die. [00:40:58] Vince Menzione: And, and that’s, that’s where we’re at. Uh, is, is the, the companies sitting here today embraced the cloud years ago and won. Uh, and and there’s a set of companies here today who are gonna embrace agents in the, for both buyers and sellers, and will win. And there are those who won’t and they won’t win. And so for me, it’s like we’re, we’re at a, we’re at a crossroads. [00:41:18] Vince Menzione: And, and if you’re gonna win, you gotta leap into that, you know? I love it. And, uh, and, and, and it’s, it means the cost of experimentation is so much lower now. Development and, and even business development or software development is, is agent enabled. And so you can take risks, you can experiment and, and you have to, it’s, it’s an existential moment. [00:41:37] Vince Menzione: Agreed. We’ve got a couple minutes left over for any questions. What do you think? Sure. Are there any here. I think there are a couple. Yeah, we’ve got, we’ve got a co-sell question I’m sure coming up here. [00:41:51] Audience Member: Um, I’m Cassandra, I’m the CEO of Partner Tap. And one of the questions I had was, I think, you know, the co-selling between the sellers is where things get. Really, really hard when you’re multi-partner. And so when I was listening, um, with, you know, the Accenture and Elastic together, you talked about how you had, you, you had to get these BD business development people. [00:42:22] Audience Member: Um, is this a new team that is over the client team? And how do these teams interact like with the elastic sellers? Are you doing a lot of coaching to the field and then with if AWS sellers are, are involved, like what is that whole picture? What does look like, [00:42:43] Allison McFadden: like [00:42:44] Audience Member: on the ground? I mean, that is the hardest part, I think, and that’s what we hear. [00:42:48] Allison McFadden: It’s so, it’s so, it’s so tough. Um, and I will, I’ll just say, so our business development leaders that we now have kind of. Expanded their capacity. They have always been, they have always been there. Um, but they have not been well resourced. They haven’t, they haven’t had very clear kind of job description. [00:43:12] Allison McFadden: I’m gonna say I, in the past they have been kind of focused on partner relationship. And so like more like an alliance manager and maybe working on some of the data. Right? So when I say I have nightmares about Lars, because we’re always trying to increase the LAR for Accenture and, and they were focused like in those detailed weeds of like trying to pass ACE and trying to call the PDM and all this stuff. [00:43:39] Allison McFadden: What we are doing is really pivoting them to be proper sales, business development focused on client outcomes and focused on. Technical skills to be able to describe what this solution is to the field. So, um, and because we need, I have many, many questions about, I gotta get agents to work with Eurogen co-sell so that that part somehow goes away. [00:44:05] Allison McFadden: So that’s a, that’s the thing we gotta solve still, but, um, so we’re pivoting them to be kind of driving. More of that co-sell enablement with the field, um, and taking that message to the field rather than being there, waiting for questions to come in from the field, waiting for like our field teams to discover, oh, I saw something that we’re doing with Elastic, like on a press release on LinkedIn. [00:44:30] Allison McFadden: Right. So we’re kind of trying to pivot them to be more proactive. [00:44:33] Vince Menzione: Very cool. [00:44:34] Rekha Thangellapalli: Yeah. And uh, Cassandra, that’s an excellent question because I think. Multi-party, you know, sort of tri-party offerings. The hardest part is operationalizing it at scale, right? Yeah. And so for this particular offering, we are basically having three routes to market. [00:44:51] Rekha Thangellapalli: So one is seeing how this offering fits into our existing elastic go to market. And so I am constantly enabling our field sellers to say, okay, within our three field sales place, here’s exactly where this fits in. Here are, you know, uh. Keywords that you hear in customer conversations where you bring up this offering and here’s a process of how it works. [00:45:14] Rekha Thangellapalli: Um, exactly At what sales stage do I bring in Accenture, how, you know, what are the roles and expectations? Right? So that’s on the elastic side. We’re doing the same thing on the Accenture side. So we’re doing a ton of training enablement and lunch and learns, and we’re also looking at how do we fit into. [00:45:31] Rekha Thangellapalli: Uh, Accenture’s AI transformation projects, we are the semantic layer, right, of their enterprise brain. And so it’s a whole different sales motion, um, and, you know, having the right assets, having the right process again to make sure that that goes smoothly. And then finally, we’re going directly to the customer. [00:45:49] Rekha Thangellapalli: So we are launching multiple external campaigns where, you know, if the customer raises their hand. We will, we will line up immediately. Right. Um, and so, [00:46:01] Allison McFadden: I mean, I can’t, I can’t, I can’t say how important that third leg of the stool is. ’cause the second part, she talked about getting into our catalog is the first thing. [00:46:09] Allison McFadden: ’cause my BU business development leaders have the catalog. Right. And that’s what they’re selling. So what Elastic has done has gotten into one of those offerings and then. If we have a customer that asks for it, that is the fastest way to alignment. That is like the number one thing that we respond to [00:46:26] Vince Menzione: customer at the center. [00:46:27] Vince Menzione: This is great. Well, I think we’re up to time. This was a great session. I want to thank you. This is what a great, what a great group. [00:46:34] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. Subscribe where [00:46:43] Vince Menzione: you listen, and head over to the ultimate partner.com. [00:46:47] Vince Menzione: 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, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything [00:47:09] I.

Treasury sanctions a VPN provider tied to ransomware. The Pentagon hits pause on CMMC audits. Critical flaws surface in Google Cloud's Dialogflow CX. Estée Lauder discloses a data breach. Mobile networks become a battlefield for tracking U.S. personnel. Australia calls out Big Tech over child safety. SAP patches critical bugs. CISA flags an actively exploited Cisco flaw. And the federal government accelerates AI investments. Our guest is Bogdan Botezatu, Senior Director, Threat Research and Reporting at Bitdefender, talking about Cyberthreats to Journalists and Influencers. AI costs savings come at a price. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Bogdan Botezatu, Senior Director, Threat Research and Reporting at Bitdefender, is talking about "Targeting the Messengers: Cyberthreats to Journalists and Influencers," their awareness campaign designed to address the escalating digital and reputational risks faced by media professionals in hostile environments. Selected Reading US sanctions VPN, malware providers for enabling ransomware attacks (Bleeping Computer) Pentagon announces 'immediate suspension' of CMMC Phase II mandates (Breaking Defense) Google Cloud Dialogflow CX vulnerability allowed AI agent hijacking | brief  (SC Media) Estée Lauder Companies Reports Data Breach Exposing Health Records and SSNs (Beyond Machines) US military targeted in Iran war phone-tracking campaign (Financial Times) Australia finds serious gaps in Big Tech response to online child sexual abuse (Reuters) SAP warns of critical flaws in NetWeaver and Commerce Cloud (Bleeping Computer) CISA adds Cisco IOS flaw to known exploited vulnerabilities catalog | brief (SC Media) Federal AI Projects Get Priority in TMF Funding Dash (GovInfo Security) Companies Are Throttling Employees' AI Use Because It's Too Expensive (404 Media) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices