Cloud Wars Live with Bob Evans

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors, and helps identify the best partners for their needs. In this episode, she joins Bob Evans to talk about the shifting landscape of enterprise consulting, the rise of AI-driven delivery models, and what these changes mean for both firms and customers navigating digital transformation.Episode 53 | Smaller, Smarter, FasterThe Big Themes:The Traditional Consulting Model Is Quietly Collapsing: The traditional consulting model, built on large teams, playbooks, and high overhead, is no longer viable in the AI-native era. The shift is not a dramatic crash but a slow erosion of outdated practices. Customers no longer accept vague deliverables, bloated staffing, and unclear pricing. Instead, they demand speed, transparency, and clear outcomes.Smaller, Nimble Firms Are Positioned to Win: AI and generative tools are leveling the playing field for smaller consultancies. Bonnie argues that boutique firms — once at a disadvantage against the scale of major global consultancies — can now compete on an equal footing due to AI's democratization of data analysis, automation, and service delivery. These smaller firms often move faster, customize more effectively, and offer high-touch support without layers of bureaucracy.Transparency Is the New Currency of Trust: Bonnie criticizes large consulting firms for their persistent lack of transparency. Many resist public reviews, avoid accountability, and cherry-pick what gets showcased — raising red flags for discerning clients. She argues that in an era of instant data and shared experience, opacity is no longer acceptable. The future of consulting depends on a firm's willingness to open itself to scrutiny and prove its worth.The Big Quote: “The disruption isn't necessarily a slowdown in the need for consulting. It's just the shift in how technology is getting delivered. It's in what the value of the consultant is. It's no longer building codes and the architecture as much as it is the change management and the ability to help customers make good, fast decisions."More from Bonnie Tinder:Connect with Bonnie on LinkedIn or send a message via her Acceleration Economy Analyst page. Visit Cloud Wars for more.

 In today's Cloud Wars Minute, I spotlight a powerful joint message from two of Europe's top tech CEOs, Siemens CEO Roland Busch and SAP CEO Christian Klein, who are urging the European Union to reconsider its AI legislation.Highlights00:03 — The CEOs of Siemens and SAP have urged the EU to reconsider its AI legislation, expressing concerns that the current law hinders innovation. SAP CEO Christian Klein and Siemens CEO Roland Busch are advocating for a new regulatory framework that supports AI innovation rather than stifling it. Busch cited the EU's AI Act as the reason that Europe is falling behind.00:46 — Klein echoed these concerns. Both CEOs believe the first step should be reevaluating the existing legislation affecting AI innovators in Europe. While the AI Act is designed to ensure the safe development and deployment of AI technologies, it also risks stifling innovation.01:17 — This can lead to monopolization and hold back key innovators in the EU who are working collectively with their global partners to create what will become the cornerstones of the AI era. And there's a strong case for collaboration here. Both tech companies and legislators need to align in establishing the foundations for a thriving yet safe AI operations landscape. Visit Cloud Wars for more.

Kim Lynch is the Executive Vice President of Government, Defense, and Intelligence, Oracle. She and Bob Evans sit down to discuss how public sector organizations are accelerating digital transformation with AI, cloud, and secure infrastructure. They explore critical challenges like regulatory compliance, procurement complexity, and legacy system modernization, as well as the growing need for scalable, mission-ready solutions. Kim also introduces Oracle's Defense Ecosystem initiative.Oracle's Government Tech EdgeThe Big Themes:Oracle's Role in Modernizing Government Technology: Oracle is taking a central role in transforming how government agencies operate by modernizing legacy systems and aligning technology with evolving mission needs. Lynch discusses how Oracle's next-generation cloud infrastructure is purpose-built for mission workloads, offering flexibility, scalability, and AI-ready capabilities.Defense Innovation Through Ecosystem Collaboration: A key theme from the discussion is Oracle's launch of a dedicated defense ecosystem designed to spur innovation in mission-critical environments. Partnerships with startups and emerging tech providers help address complex defense challenges at both tactical and strategic levels. From compact “backpack” clouds to full-scale three-rack deployments, Oracle is delivering infrastructure that supports edge computing, secure communications, and global scalability.AI, Data Ownership, and Customer-Centric Cloud Strategy: Oracle is focused on unlocking AI's full potential through advanced data management. Its cloud strategy centers on customer choice, flexibility, and data sovereignty, i.e, giving agencies the ability to deploy AI tools wherever they need them, whether in public cloud, on-premises, or at the tactical edge. Oracle Cloud services come with built-in support for autonomous databases and AI-ready infrastructure, but without vendor lock-in or data movement penalties.The Big Quote: “[Coming into the defense market] is challenging, and we can be a helpful guide, because we have done it for so long. We have the classified space. We know how to work the procurement system, to be able to respond to classified procurements, [and] that's not easy for startups, to be able to understand all you need to do to be able to respond to the government's requirements. So we are sharing that knowledge and providing an umbrella ecosystem to help others be successful in the space, because we know we all win when the best technology gets in the hands of our customers."More from Oracle and Kim Lynch:Connect with Kim Lynch on LinkedIn and learn more about Oracle and defense. * Sponsored Podcast * Visit Cloud Wars for more.

In today's Cloud Wars Minute, I spotlight the 30% surge in $20M+ customers as proof of ServiceNow's enterprise momentum.Highlights00:48 — Let me briefly touch on some of the key numbers from ServiceNow in Q2. So, the top line there: Subscription revenue was up 22.5% to $3.11 billion. Big jump in total RPO, or Remaining Performance Obligation, up 29% to almost $24 billion. I want to point out, too, the subscription revenue growth in Q2 — 22.5% — that's a big jump from the Q1 growth rate of 19.1%.01:29 — Very nice acceleration by ServiceNow. Customers spending at least $20 million has gone up 30% year over year. ServiceNow has 528 customers spending at least $5 million with them in annual contract value. On the call, McDermott said: “People and AI together will create new business and new discoveries and will catalyze economic growth in every corner of the world.”02:30 — It's too easy to fall into the trap of saying, “Oh, AI is going to wipe out a lot of jobs.” It's also going to create incredible new opportunities. McDermott also said he was really focusing on this term of “AI work.” He said AI work is going to be cross-functional. He said this will lead to big changes in org charts — they're going to be very different from how they were before.03:28 —McDermott talked about the unique role that ServiceNow plays in the industry. It's not an applications company. It's not an infrastructure company. It's an AI platform company. And it has found a way to be able to collaborate with almost all of the Cloud Wars Top 10 companies, and do so in a way, as McDermott likes to say, where for ServiceNow to win, no one else has to lose.04:31 — So, bullishness out the ears McDermott on this earnings call. Not only is the company doing well, but more importantly, as he said over and over: “Our customers are doing well and doing things they were never able to do before.” So, heady times here in the Cloud Wars. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I break down Google Cloud's explosive Q2 performance — including a 32% revenue jump, a $106 billion backlog, and a surge in billion-dollar deals.Highlights00:14 — We saw a great re-acceleration by Google Cloud. In Q2, it recorded great numbers across the board. I think what this shows is that large enterprises are buying fully into the Google Cloud value proposition. It's made huge strides there. These are AI-hungry customers who realize they've got potentially a great partner in Google Cloud.01:05 — Q2 revenue for Google Cloud was up 32% to $13.6 billion. The backlog for Google Cloud was up 38% to $106 billion. This is a number that Google Cloud has not released publicly before. It was buried deep in their numbers. But it brought it up on the earnings call. One quarter ago, it was about $90 billion. It's now at $106 billion. Billion-dollar deals surged.02:39 — It added 28% more in Q2 than it did in Q1 — huge. Again, a sense of momentum. It's bringing in new revenue, new customers, new prospects. Also, Google Cloud's parent company, Alphabet, is boosting CapEx by $10 billion for this year — up from the original $75 billion plan.03:38 — I'll be looking to see, on July 30, when Microsoft releases its numbers: did they see the same kind of growth acceleration that Google Cloud did? In Q1, Google Cloud's revenue grew 28%. This quarter, it improved to 32%. While Microsoft's cloud business is much bigger than Google Cloud, it's understandable that Google Cloud would have a higher growth rate.04:35 — Google Cloud is doing a lot of things right — from its AI-native technology and cloud infrastructure business, to what it's doing in data analytics, and the way it's forged partnerships with everybody: Oracle, SAP, ServiceNow, Salesforce, Workday. It's really opened it up.05:00 — It's making it easier for customers to put together the complex types of solutions needed as we move into this very different future. Hats off to Google Cloud and Thomas Kurian for a great quarter. Visit Cloud Wars for more.

Visit Cloud Wars for more.

 Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I take a closer look at SAP's Q2 cloud performance—24% revenue growth and a 22% rise in current cloud backlog—slower than past quarters, but still dramatically outpacing rivals like Highlights00:13 — One of the leaders in the Cloud Wars Top 10, SAP, has been the fastest-growing enterprise apps company for several straight quarters, far outperforming all of its competitors, which include Oracle, Workday, Salesforce, and Microsoft Dynamics 365. And they reported recently—SAP did—a very strong Q2. But there were a couple wrinkles in there.01:02 — The cloud revenue was up 24% to $6 billion. But in Q1, the growth rate was 25%, so a slight dip in the growth rate in Q2. Current cloud backlog in Q2 was 22%; that 22% is well down from Q1's 28%. It expected the backlog growth to moderate through the rest of the year. But this is a pretty big drop. It saw a re-emergence of uncertainty in the market in the second quarter.AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 02:08 — He noted in the U.S., in the public sector, the DOGE impact has slowed things down a little. On the flip side, Klein said, Now, we've got some mega deals that are out there. He said, I don't think they're going to disappear, but they have been postponed . . . There's a little more rigor in getting approvals for those. But he said, I think that will come through.03:20 — I would also say that at the size that SAP is at now, it's a $24 billion run rate,r 24% growth is quite good. And this current backlog growth of 22% in itself is also very strong. But a couple of quarters ago, its backlog grew 32%, then 25%, now 22%. So it's fair to say, is a trend.04:10 — Overall, it is an interesting time now for buyers, I think more broadly, since some of this uncertainty that Klein referred to around tariffs—I think a lot of that uncertainty is going away. We just heard this announcement of the U.S. and Japan in a $550 billion deal. I think this is going to alleviate some of the concern that SAP customers expressed and that Klein referred to. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore how Microsoft is helping Thailand modernize its legal system using AI and cloud technologies to support its bid for OECD membership.Highlights00:03 — Microsoft is helping to transform Thailand's legal system using AI and cloud technologies. The company is working closely with the Office of the Council of State. This effort is a critical part of the country's ambition to join the Organization for Economic Co-operation and Development, or OECD.00:30 — At the heart of this partnership is the TH2OECD initiative, an AI-powered legal comparison platform built on the Microsoft Azure OpenAI Service. This platform automatically translates and analyzes more than 70,000 Thai legislative documents and compares them with over 270 OECD legal instruments.01:06 — It's an interesting use case for AI. Here, it's demonstrating the technology's capabilities in action. And while it's common for companies to implement ambitious analysis and management programs for their internal purposes, doing so at a governmental scale is even more impressive. Visit Cloud Wars for more.

Highlights00:14 — Later today, we will hear from SAP about its Q2 financial results. So the cloud revenue for the past six quarters: 24%, 25%, 27%, 20%, 27%, 27%. I'm projecting 27% for Q2. It's even been stronger in its cloud backlog numbers: 27%, 28%, 29%, up to 32% in the giant Q4 numbers, 28% in Q1. I'm projecting the backlog will go up 29% for Q2.01:34 — Three months ago, after SAP released its Q1 numbers, CEO Christian Klein did an interview with Bloomberg TV, and he said something that I think surprised a lot of people: “There has been absolutely no pullback on U.S. spending.” Now, you might suspect that there would have been—with all this doom and gloom coming up about tariffs.02:44 — A couple of the big factors: SAP has shifted fully to AI. It's embedding it in all iits applications and solutions, in its Joule agent system. It's doing its launch of its Business Data Cloud, which fuels so much of what they're doing in AI for customers. And also, its very ambitious ecosystem and partnership strategy has been quite strong and continues to be that way.03:37 — We heard recently from Oracle CEO Safra Catz — she feels that Oracle's applications business is about to kick into higher growth, and she says that it will become the largest cloud applications provider. So, a challenge coming at SAP's leadership in that field from Oracle.04:10 — I've got an article coming up later today with more details on my outlook for SAP. And later this week, we'll be catching up on its numbers, along with those of IBM, ServiceNow, and others in the Cloud Wars Top 10. Visit Cloud Wars for more.

Oracle, Microsoft, AWS, and Google Cloud. Oracle is the newest member of that elite club and recently claimed that none of the others can match them in the cloud. This is a timely topic, as business leaders accelerate their move into the cloud to harness AI and innovation.01:00 — Recently Oracle Cloud Infrastructure's President Clay Magouyrk stated that Oracle is the only hyperscaler able to deliver more than 200 cloud and AI services across every deployment model. Google Cloud said it's no longer about the number of services or deployment models—it's about using digital tech to help customers build their futures.02:02 — In the next week or so, I'll be sharing Google Cloud's full point of view and how they believe customers should really be evaluating cloud infrastructure providers. It's a smart and healthy debate—one that gives customers visibility into how these tech giants are evolving. Which are truly keeping up with what customers value most today?02:45 — I give Clay Magouyrk credit for opening this discussion and to Google Cloud for engaging with it meaningfully. I'm leaving the door open for Microsoft and AWS if they'd like to join the conversation. These debates are good for everyone because they help clarify what matters. Visit Cloud Wars for more.

Highlights00:03 — Oracle shares jumped 4% following news that the company is poised to sign a massive cloud deal expected to generate $30 billion annually, starting in fiscal year 2028. It's a potential game-changer for the company's revenue and growth. The announcement of the deal has already been filed with the Securities and Exchange Commission.00:31 — Oracle's cloud business has received a substantial boost of late. Last year, my colleague Bob Evans highlighted a significant milestone that was Oracle's cloud revenue surpassing its license revenue for the first time. Since then, as per the fiscal year 2025, cloud revenue has surged to $6.7 billion marking a remarkable 27% year over year increase.01:01 — The challenge now will be managing future investments in preparation for such an opportunity in the rapidly evolving technology and business climates. 2028 is still a long way off, and Oracle will need to ramp up operations strategically. I have full confidence in the Catz/Ellison Dream Team's ability to handle it and to handle such a major push for its cloud business. Visit Cloud Wars for more.

closely with the U.K. government, which feels it's got a lot of "ball-and-chain technology" hampering the ability of its employees but also governments themselves to move into the future and deliver greater service to their constituents. It is looking to cut expenses via modern technology by up to $50 billion, and it's enlisted Google Cloud's help to do that.01:25 — At the Imperial War Museum, it's undertaken a project to use AI and cloud technologies to preserve 20,000 hours of oral conversations with 8,000 different individuals who took part in various conflicts from World War II up to the present time.02:16 — The Imperial War Museum's Head of Transformation said: if we were doing this manually, it would take 22 years. He said, with the solution that Google Cloud and Capgemini are proposing, it should take about one month.03:00 — The third customer there is Morrisons supermarkets. So, a new offering from Morrisons that they built with Google Cloud, called "Product Finder"—pretty simple concept—but it helps customers find and get to the products they want and need in stores or online almost instantly.04:06 — But I think each touches on this notion that you could say these address efficiency and productivity issues. But they also, by doing so with modern technology, connect directly to new opportunities—right? You want to excite and delight these customers, so they want to come back. They know they had a good experience. They're going to come back. Spend more. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore Amazon's massive new AI infrastructure project, Project Rainier, built for Anthropic and the largest-ever deployment of Trainium2 chips by Annapurna Labs.Highlights00:03 — AWS is building a colossal supercomputing cluster for Anthropic, a company that has received a total of $8 billion in backing from Amazon. Project Rainier is spread across multiple U.S. sites and uses hundreds of thousands of Annapurna Labs Trainium2 accelerators, and is set to launch later this year. One site alone, in Indiana, will feature 30 200,000-square-foot data centers.00:36 — Gadi Hutt, Director of Product and Customer Engineering at Annapurna Labs, said the following: "This is the first time we're building such a large-scale training cluster that will allow a customer — in this case, Anthropic — to train a single model across all of that infrastructure."01:26 — Now it's in direct competition with OpenAI, the only other company with comparable compute and training capabilities. This marks a major milestone in the escalating AI arms race, and by proxy, could be a big win for Amazon. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze the recent Microsoft layoffs.Highlights00:14 — It's an ugly part of the free-market capitalism world, but what is inevitable in some ways — is layoffs. In the first six months of this year, Microsoft has laid off 15,000 people. I think we need to look at this as part of the new normal. It's an unfortunate consequence of the AI revolution and the incredible benefits and growth that it's going to drive.01:08 — I think we've seen a lot of people say, “Oh, here it comes, AI is displacing people.” These big companies are going to try to cut costs. They're trying to reduce expenses. I think here, the focus isn't on cutting costs, saving money, and dumping people, but rather on: Can we be prepared as quickly as possible for a very, very different future?02:12 — And that's what this AI revolution is going to bring. I think Nadella is trying very hard here to ensure that they've got their entire workforce aligned on growth opportunities for the future and all the changes that the AI revolution is going to bring to Microsoft's customers, rather than, you know, piddling around with, “How do we save a couple bucks here and there?”03:03 — Every process is ultimately going to be affected by this. It's going to change how companies think, how they work, how they operate, what their processes are, how they grow, how they make money. Any company that wants to stay in business is going to realign its workforce to match up with those new opportunities. That's what I believe Microsoft is doing.04:27 — I think we're going to see that across every industry, every region of the world. One of the outcomes is that we'll see some people moved around to new opportunities inside companies, but we're also going to see some people let go because they either don't have the backgrounds, the mindset, or whatever it might be, to match up with what their businesses need. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I take a look at what the Oracle-AWS collaboration means for the future of multi-cloud innovation and customer value.Highlights00:22 — I think we can say now there's romance in the cloud. Oracle and AWS are doing things in a collaborative way that they've never done before. The customers are swooning over this cloud romance. This is all built around the Oracle Database@AWS, part of a multi-cloud deal.01:09 — This inclusion now, in addition to the heavy competition, also some collaborative effort is really a big benefit to customers. Just a few of the outcomes for customers of this relationship: they get more choice, they're able to move on things more quickly, the security is better. They gain greater simplicity in how they do things.02:25 — So the final piece about this is: What are we going to see here? Is this going to lead to a softer, gentler range of competition in the Cloud Wars? Are AWS and Oracle going to be like the lion and the lamb and lie down together and be best friends forever? I don't think so. But what they need to be able to do here is continue to find ways to work together where it's appropriate.03:36 — So, I wish Oracle and AWS all the best. I hope they're able to balance this new love affair with also a sense that they're going to continue to brawl frequently and vigorously. That's good for everybody: them, their customers, and the people who benefit from what those customers do. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explore how ServiceNow and Nicus Software are teaming up to deliver a financial intelligence layer that helps enterprises optimize their cloud, AI, and IT spending by unifying data across finance, IT, and business units.Highlights00:08 — ServiceNow is working with a partner, Nicus, to deliver a financial intelligence layer for enterprise tech. Interesting angle here: It's trying not just to consolidate the numbers, but to go beyond that. It involves multiple parts of the organization working in concert to really get not only the best data but also the ability to act on it.00:34 — Tom Smith had a conversation with Ron Wastal, the Chief Ecosystem and Partner Officer at Nycus. Wastal described how this works for companies. It's in the category of Technology Business Management, but goes beyond that. Nicus is trying to bring financial teams, IT teams, engineering, and lines of business together to share this intelligence and collaborate.01:22 — Again, this isn't just about saying, “Hey, here's how much is going on.” It's about answering: Where is it happening? Why is it happening? How is it contributing or not contributing to business outcomes? That way, they can optimize the substantial dollars being poured into cloud and AI spending. These optimizations can really add up.02:11 — Why ServiceNow in particular? Why did Nicus want to work with them? Ron explained that the IT data for many big companies lives in ServiceNow databases. That's where they can find out what's really going on. Tapping into those massive data stores allows them to have a huge impact.02:38 — What Nicus does is put a financial intelligence layer on top of that IT data to enable a cycle of understanding, tracking, and optimizing IT spend. It's also leveraging ServiceNow's unique workflows and cutting-edge AI capabilities to take action on these insights. That's the difference Nycus sees in what it does versus others.03:13 — Nicus has developed two specific applications—one for costing and one for planning. These apps are used across the platform to deliver a comprehensive picture of what's going on. This is another example of how ServiceNow is working with world-class partners and ISVs to deliver great business outcomes for customers.This episode is sponsored by ServiceNow. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I look at the ongoing relevance and success of so-called "legacy" organizations in the Cloud Wars Top 10.Highlights00:16 — Now interesting to see across the 10 companies in the Cloud Wars Top 10, we've got four that would fall under the sort of goofy legacy title. They've been around about half a century or more. And then we've got six companies that we referred to as cloud native. Interesting to see that right now the Cloud and AI revolution is fully underway.00:49 — Because if you take the valuations of those four companies, Microsoft plus Oracle plus SAP plus IBM, it comes to a little over $5 trillion, which is almost exactly the same as the combined valuations of the six cloud native companies. My point is not just to play some goofy arithmetic game, but rather to say that there is a lesson here about the power of incumbency, right? 01:20 — If you've been in a market for a certain amount of time, something new comes along. You can try to ignore the new thing and say "No, no, we'll just power through this on our own." Or you can say, "Let me take the capabilities I currently have as an incumbent ... and then blend that in with his cool new stuff here." 02:11 — I mentioned the four legacy, so-called legacy tech vendors, Microsoft is say 52, no 50 years old this year, $3.71 trillion market cap. Oracle is about 47-years-old this year, $667 billion, SAP is 53-years-old, $370 billion, and IBM 114-years-young, and combined those four add up to $5.02 trillion. 03:14 — I'm not taking away anything from either side, but this is a remarkable example of how it's not just the bright shiny objects that are going to determine who's going to win or lose or start up with the cool new stuff. 04:10 — It also shows us that the mindset of companies is so important these days. We can't say, "Well, I can't make it. I am caught in the old world." But instead, "How do I take the new things that are happening, weave that into what I h Visit Cloud Wars for more.

In today's Cloud Wars Minute, I take a look at how SAP is advancing its sustainability agenda by becoming its own test subject.Highlights00:03 — SAP has announced that it's utilizing its own sustainability software to further the company's sustainability goals by acting as the ultimate test subject. Its pushing the boundaries of its sustainability offerings while also addressing common customer challenges such as mass data management, compliance, and analysis.01:05 — Solutions include tools like SAP Sustainability Control Tower, SAP Sustainability Footprint Management, and SAP Green Ledger. The company has been using these tools since 2022. From the beginning, SAP recognized that its team needed to consistently collect emissions data, ensure dedicated governance, and build on the carbon data capture element of the project.01:37 — There's much to admire about this process. First, there is the trust and confidence element. SAP demonstrates utmost trust in its products and confidence in its ability to address specific customer needs. Additionally, this strategy provides an incredible opportunity to show customers how best to utilize the tools it supplies. Visit Cloud Wars for more.

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, Bonnie shares insights from a recent Salesforce event, exploring how AI agents, data clouds, and robotics are reshaping customer experience, software implementation, and enterprise transformation.Episode 52 | AI Agents in ActionThe Big Themes:Campaigns Are Out, Conversations Are In: Marketing is undergoing a radical transformation. Gone are the days of mass email blasts and no-reply addresses. Instead, AI is ushering in a new era of real-time, personalized engagement. Salesforce is leaning into this shift with tools that replace one-way campaigns with dynamic conversations. AI agents now tailor interactions based on behavior, preferences, and real-time context, fostering true customer intimacy at scale.Unified Data Is the Bedrock of Smart AI: No AI strategy can succeed without clean, connected data. Salesforce's Data Cloud addresses what SAP calls the “swivel chair problem” — when teams toggle between disconnected systems to piece together a customer story. AI agents can't operate effectively if data is fragmented or siloed. That's why Salesforce is investing in tools that unify sales, marketing, support, and financial data, giving AI a full-picture view of the customer journey.AI Agents Are Already Delivering Real Results: AI isn't theoretical anymore — it's working in the wild. Bonnie pointed out two standout cases: University of Chicago Medicine and Ford Pro. In healthcare, Agentforce transformed an outdated, frustrating appointment system into a streamlined digital process, improving both efficiency and patient experience. At Ford, AI agents guide customers to ideal vehicle matches with minimal input, keeping users on-site and increasing conversion.The Big Quote: “I think that buyers are looking more at the execution and fit of software, as opposed to the software brand itself. And I would say that that is a shift in the last year or so, especially now with the advent of AI and just the rapid pace that everything is moving so, less on brand, more about how are you going to offer me the complete solution and break down silos of data?” More from Bonnie Tinder:Connect with Bonnie on LinkedIn or send a message via her Acceleration Economy Analyst page. Visit Cloud Wars for more.

Ajay Patel is the General Manager of Apptio and IBM IT automation. He and Kieron Allen sat down to talk about how enterprises are transitioning from AI experimentation to real business impact. They explored key challenges like cost transparency, governance, and data readiness, as well as the rise of agentic AI to automate workflows at scale. Ajay also introduced Apptio's new AI TCO and Usage tool, designed to help CIOs and CFOs measure and optimize AI investments.Smart Spending on AI The Big Themes:Enterprises Are Moving Beyond AI Experiments to Strategic Deployment: The era of AI experimentation is over. Enterprises are now actively deploying AI, particularly in sales, service operations, and software development. However, those achieving meaningful impact are taking a strategic approach, rather than letting teams experiment in silos. The C-suite increasingly sees AI as critical, but that value perception isn't always shared by the wider workforce.AI and IT Budgets: AI now consumes more than 20% of IT budgets, yet overall tech spending is only increasing 4–5%. This creates a 10–15% gap, leading companies to “forward fund” AI initiatives by reallocating from other areas. A key challenge: there's no standardized pricing for AI. To address this, IBM's Apptio launched the AI TCO and Usage solution. It helps CIOs and CFOs baseline current AI investments, measure unit economics, and identify areas to optimize or expand.Agentic AI, the Next Frontier: Agentic AI is key to scaling beyond isolated use cases. It enables automation at scale and connects AI investment to tangible business outcomes. From cost savings in infrastructure to better visibility in FinOps to boosting customer experience, the ROI is clear when deployed correctly. But none of this happens without data readiness, governance, and strategic clarity.The Big Quote: "AI TCO solution fundamentally starts by giving CIOs [and] CFOs in the business a complete view of where the tech spending and AI spending is, and what stage is that? Is it in a pilot phase? Is it for training models?"Learn more:Connect with Ajay Patel on LinkedIn and learn more about Apptio. Visit Cloud Wars for more.

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I dive into Slack's bold move to restrict API access to bulk data exports, effectively blocking the use of its platform data for LLM training and signaling a strategic pivot toward proprietary AI control and heightened data security Highlights00:03 — Salesforce has changed the API Terms of Service for Slack, which will stop companies from using LLMs to ingest data from the platform. Ultimately, the new policy prohibits the bulk export of Slack data via the API and confirms that data access through Slack APIs cannot be used for LLM training.00:21 — From now on, companies will have to use Slack's new real-time search API. In a blog post by the Slack developer team, the company states that this new API eliminates the need for large data exports from Slack, keeping customer data secure while maintaining support for key use cases like permission-based search.00:56 — Now, while Salesforce and Slack say the focus is on security, there is another angle being discussed, that this move encourages a shift towards proprietary technologies. It's difficult to pinpoint this trend. On one hand, we see a push for interoperability across the industry, while on the other, Slack's announcement on the real-time research API coincided with support for the Model Context Protocol.01:25 — Data is still the currency that drives AI and sharing it recklessly with any LLM that requires access can be counterproductive from a business standpoint. Companies like Salesforce don't want to be liable for data used by third-party applications, and none of the major tech companies want to stifle innovation with overly restrictive policies. Visit Cloud Wars for more.

In this episode of the Office of the CFO Podcast, John Siefert hosts Rob Ashe, VP of North America, SignUp Software, and Blaine Grzegorek, Senior Solution Architect, Sikich, for a conversation on the benefits of partnering with ISVs, top considerations when selecting an ISV, and the impact of AI agents.Key Takeaways:  Risks of building your own solutions: One major risk that's becoming more prominent is having the expertise in-house to build custom solutions. Another hurdle is the upfront costs compared to subscription costs associated with many ISVs. Oftentimes, Ashe notes, "You have to spend a lot of capital on new tools...to make this new solution or change a process." Grzegorek suggests a third challenge which is meeting compelx needs. Oftentimes, industry expertise is also required, as you may be able to build the technology but might not be ready to translate the business needs to the ERP.Benefits of partnering with an ISV: A big reason organizations turn to ISVs is that they develop purpose-built solutions to address multiple different situations and multiple industries. "That's what I've found clients like about it, there might be a core functionality out of the box but it doesn't really handle every scenario," Grzegorek says. Working with ISVs provides expertise in various industries to consult with to address specific issues and needs.Considerations: Because ISVs work on these types of projects regularly, they are aware of more elements to take into consideration. For instance, Ashe describes how ISVs look at the landscape within Dynamics 365. It's important to consider how the solution will integrate with existing systems, how it will impact security, where data is being sourced from, and more.Selecting an ISV: When selecting an ISV, there are some qualities you should look for to ensure unexpected situations are taken care of. "The documentation they have, that speaks a lot to what they're able to contribute on an ongoing basis," Grzegorek says. Clients are looking for partnership, and working with an ISV is a partnership. You want to be confident that you can reach out to your ISV and get answers right away. "It's hard to see that before you actually start that partnership, so I go to that documentation of what the solution has, what it solves, and if that stuff is detailed...that is a huge indicator." Initial interactions with them are also a good sign of this.Multiple ISV solutions from a single vendor: It's always beneficial to have an ISV that can provide multiple solutions in different areas. One thing to look out for, Grzegorek highlights, is to make sure that the ISV has good alignment internally. Integration time is also a major focus, considering whether you have to integrate or if it's embedded in the system.AI agents and Microsoft Dynamics 365: While the solutions themselves are very powerful, AI agents can add a new level of efficiency. Ashe shares an example of how individuals are now running teams of agents to automate various functions. There are agents fulfilling individual functions within Dynamics 365 that customers are already using, so SignUp Software is like an extension of the platform and the workload. "We feel like we have a really strong value proposition to bring back to Microsoft to leverage the strength and the roadmap of the platform, but then also have immediately valuable solutions that they can take advantage of now," Ashe says.This episode is sponsored by SignUp Software. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I break down the latest growth rankings among the top 10 cloud providers, highlight Google Cloud's continued lead, and show how legacy giants like Oracle and SAP are rapidly transforming into cloud powerhouses.Highlights00:15 — I wanted to share with you the latest numbers for the Cloud Wars Growth Chart, where we take a look at the growth rates of the Cloud Wars Top 10 companies. Google Cloud holds on to the number one spot. But SAP and Oracle are breathing down Google Cloud's neck. Google Cloud grew in its most recent quarter by 28%, with revenue of $12.3 billion.00:51 — Tied for second place are these two so-called legacy companies. Both grew in their most recent quarters by 27%. SAP's cloud revenue is now $5.3 billion, Oracle's $6.7 billion. Next quarter, it is likely that Oracle could well be number one on this list. But that's all the future, and we will see how that goes.01:42 — In fourth place is Microsoft, 20% growth rate on $42.4 billion in revenue. ServiceNow grew 19% as it cracked $3 billion for the first time in a quarter. AWS, 17% — $29.3 billion. Similar to what we said about Microsoft: 17% growth rate on almost $30 billion in revenue is very impressive.03:00 — Workday, up almost 14%, to $2.1 billion. Salesforce at 8%, $9.8 billion. Snowflake, up 26% to $997 million. I'm not placing Snowflake within the regular run until its quarterly revenue exceeds $1 billion. It's extremely likely that next quarter, we'll see Snowflake take its place in the regular run of companies. IBM does not report its cloud revenue anymore. I hope IBM will change that policy.04:22 — It's fascinating to see a purely built-for-the-cloud company, Google Cloud, in the number one spot. And who's behind it? Two venerable companies — mostly still in the software business completely for SAP — but Oracle now, in addition to its fast-growing cloud software business, also has a hypergrowth cloud infrastructure business. Visit Cloud Wars for more.

Balazs Molnar, CEO and co-founder of Rabbit, chats with Kieron Allen about the evolving challenges of cloud cost management and how engineering teams have become central to tackling them. He explains why traditional FinOps tools fall short, how Rabbit dives below the surface to uncover hidden waste (especially in platforms like BigQuery) and why automation is essential for real savings.Optimizing Cloud with RabbitThe Big Themes:Cloud Costs Take Center Stage: Companies are no longer asking, "What can we build on the cloud?" They're now asking, "Why is this so expensive?" Rabbit's origin stems from this exact pivot: cloud costs spiraled out of control, catching businesses off guard. Despite robust migration to cloud environments like Google Cloud, companies found themselves ill-equipped to understand the hidden inefficiencies causing waste. Cloud spend can quickly balloon without the right oversight.The Cloud Buffet Problem: Balazs described cloud computing like a buffet: Engineers can take whatever they want, whenever they want. The cloud's flexibility is its strength but also its greatest risk. Unlike traditional on-prem setups that required hardware purchases and physical limits, cloud environments are boundless. Engineering teams now hold the wheel, yet they're typically not tasked to steer toward efficiency. This creates what Molnar calls a "FinOps trap": assuming finance can solve a problem that's fundamentally technical.Why Optimization Matters Now: Cloud vendors are still growing at impressive rates, but cracks are forming. Some businesses are exiting the cloud, not because they dislike the model — but because costs feel unmanageable. Molnar warns that in most cases, this isn't a cloud problem — it's an optimization problem. The promise of cloud was flexibility and scalability. But without proper tools, it becomes unpredictably expensive.The Big Quote: "We all know the news that cloud vendors are growing 30%+ on a year-over-year basis. But we also started to see cracks in the system where companies are actually deciding to move out of the cloud because it's too expensive to them. But the reality [is] it might not have to be that expensive. It's just not optimized."More from Balazs Molnar and Rabbit:Connect with Balazs on LinkedIn and check out more about Rabbit.* Sponsored podcast * 

Assist, Accelerate, TransformThe Big Themes:Workday's Agent System of Record: Workday's Agent System of Record manages the emerging digital agent ecosystem. It provides structure and governance to what could otherwise become a chaotic sprawl of AI agents. By embedding agent management into existing organizational hierarchies, Workday ensures that agents become a structured extension of the workforce rather than a disconnected experiment.Shift Toward Role-Based Agents: Workday is designing agents to reflect the roles and responsibilities of human workers. Rather than focusing narrowly on task or function-specific agents, Workday emphasizes role-based agents that closely align to actual jobs within an organization. Examples include payroll agents, financial audit agents, employee self-service agents, and recruiting agents.Three-Phase Customer Framework: To ease customer adoption, Workday has a three-step framework: Assist → Accelerate → Transform. The assist phase focuses on basic productivity improvements, giving employees relief from repetitive, low-value tasks. Then, companies enter the accelerate phase, expanding the use of agents to drive more meaningful efficiencies and process optimization. The final transform phase represents the full reimagining of work processes with human-agent collaboration at the core.The Big Quote: “A mindset shift for us as AI developers is we made AI as features to solve problems, and now we're thinking a lot about AI as a group of skills."More from Shane Luke, Ali Fuller, and Workday:Connect with Shane and Ali on LinkedIn or learn more about Workday's Agent System of Record.

The Big Themes:SAP's Flywheel Strategy: SAP introduced a compelling flywheel model that integrates applications, data, and AI to drive enterprise momentum. The idea is that integrated applications generate structured data, which then feeds a robust AI layer. As these layers build on one another, they create a self-reinforcing cycle of productivity, insight, and innovation—a flywheel effect. Unlike Microsoft and ServiceNow, which predict the collapse of applications in favor of agents, SAP asserts that AI agents will enhance, not replace, applications.The Business Data Cloud and Databricks Partnership: A highlight of the event was SAP's Business Data Cloud (BDC), launched in partnership with Databricks. This foundational layer brings together internal SAP data and external sources like Moody's or climate models, enabling richer decision-making. SAP showcased real-world use cases, such as tariff fluctuation impact analysis across supply chains, to demonstrate the power of combining enterprise and contextual data.Prompt Optimizer and the End of Prompt Engineering: SAP's introduction of a “Prompt Optimizer” signals a shift in the AI interface landscape. Instead of manual prompt engineering, users will soon rely on AI to manage and optimize prompts across multiple large language models (LLMs), including ChatGPT, Claude, Gemini, and Perplexity. CTO Philipp Herzig even declared we're at “the beginning of the end” of prompt engineering.The Big Quote: "[Customers are] not ready to deploy AI and have that completely eliminate the need for apps. The data is just not there. So, maybe five years from now, let's see what progress we've made. But what's in the here and now is that customers are looking for applications."

Parisa Tabriz is vice president and general manager for Google Chrome, the world's leading browser platform. She leads efforts to make Chrome a secure and essential enterprise workspace, integrating AI and advanced cybersecurity to meet evolving business needs. In this episode, Parisa joins Bob to explore how Chrome is redefining the browser as a productivity and security platform, the role of AI in enterprise protection, and what's next for Chrome's innovations.Chrome at Google Cloud NextThe Big Themes:Chrome's Evolution into a Central Productivity and Security Platform: Over the past 17 years, Chrome has transformed from a simple web browser into a comprehensive platform integral to enterprise productivity and security. Users now spend a significant portion of their workday within Chrome, utilizing it for tasks ranging from document editing to video conferencing. This shift has positioned Chrome as the new endpoint in enterprise environments.Simplifying Enterprise Security with Chrome: Complexity is often the enemy of security. Chrome aims to simplify enterprise security by integrating protective measures directly into the browser, reducing the need for multiple, potentially conflicting security solutions. Features like automatic updates, built-in phishing protection, and centralized policy management allow IT teams to maintain a secure environment with less overheads.Personalization, Governance, and AI Empowerment: Chrome prioritizes features that allow organizations to personalize user experiences while maintaining strict governance over data and AI usage. Tools like data masking, controlled copy-paste functionalities, and the ability to designate approved AI applications help prevent data leaks and ensure compliance with internal policies. By providing these controls, Chrome empowers enterprises to harness the benefits of AI technologies responsibly.The Big Quote: ". . . the browser is the place where you can give people access to the benefits [of AI], but also make sure that you have the controls and governance to turn it off or make sure that your employees aren't copying and pasting data into an unsanctioned AI surface."More from Parisa Tabriz and Google Chrome:Connect with Parisa on LinkedIn or learn more about Google Chrome.

HighlightsGoogle Cloud's AI Revolution and Customer Success (00:10)Renner talks about how, for Google Cloud, delivering great outcomes for customers must come before achieving returns. Efforts are underway to push brainpower and expertise directly to customers, while simplifying the sales process by infusing more industry-specific knowledge. Customers are focused on realizing tangible business outcomes with AI.Google Cloud's Ecosystem and Partner Ecosystem (02:02)Google Cloud is the fastest-growing company in the Cloud Wars, achieving $12 billion in revenue last quarter. A sharp focus on business outcomes, paired with a robust ecosystem of expertise, is credited for this success. Renner discusses Google Cloud's partner ecosystem development under Kevin Ichhpurani, president, global partner ecosystem. Growth across the partner ecosystem, including SIs, ISVs, and boutique functional experts, remains a key driver of momentum.Customer Success and Innovation at Google Cloud Next (03:46)Innovation and customer success were on full display at Google Cloud Next in Las Vegas, with major product launches and enthusiastic customer testimonials. Marking his two-year anniversary, Renner reflects on how AI has accelerated customer success' evolution. The volume of customer stories and advocacy is proof of exceptionally high engagement. Many customers have already moved beyond experimentation into full production.Customer Mindset and Business Outcomes (06:09)Today's customers are reimagining what's possible through AI, marking a profound shift in mindset. Renner talks about the eagerness and commitment of Google's engineering and consulting teams to work side-by-side with customers. As customers become more sophisticated, they are increasingly focused on identifying business impact and making strategic investments. A collaborative and creative problem-solving approach is central to how Google Cloud delivers value.Budget Shifts and Business Engagement (07:37)AI adoption is driving a major shift in spending away from traditional IT control toward broader enterprise engagement. Renner notes that while business engagement has always been important, AI has accelerated the breakdown of old barriers across industries. Teams are approaching go-to-market strategies more mindfully. Verticalization and deep industry focus have become essential in driving business outcomes.Ecosystem Growth and Customer Demand (11:17)Google Cloud's ecosystem continues to expand, with ISVs and SIs playing an increasingly critical role. Renner points to partnerships with Salesforce, ServiceNow, and others as key to expanding Google Cloud's reach, building credibility, and scaling to meet growing customer demand. The expansion of regional SIs is equally important, ensuring global customer needs are met effectively.Google Cloud's Growth and Market Position (13:23)Renner attributes Google Cloud's leadership as the fastest-growing company in the Cloud Wars to its focus on customer business outcomes. This strategy has fueled new customer acquisition, a growing sales backlog, and sustained high demand. AI is transforming how Google Cloud engages with customers, driving growth across every product line and deepening its market position.Leadership and Team Enabling (15:35)Under the leadership of CEO Thomas Kurian, Google Cloud has made extraordinary strides in customer success and growth. Renner praises Kurian's passion, energy, and clarity of vision. A major focus remains on providing field teams with the right assets, tools, and alignment to be successful. The addition of new talent to oversee the customer experience journey, reflects Google Cloud's commitment to strengthening its leadership bench.Final Thoughts and Future Plans (18:32)Renner shares his appreciation for the opportunity to reflect on Google Cloud's strategic focus and achievements. The interview closes with a reaffirmation of the AI revolution's significance and Google Cloud's central role in shaping the future of business innovation. The outlook is positive.Google Cloud's central role in shaping the future of business innovation. The outlook is positive. This episode is sponsored by Google Cloud.---The content displayed on the platform is the intellectual property of Acceleration Economy. You may reuse, republish, or reprint such content with attribution: Content by cloudwars.comAll information posted is informational purposes. Should you decide to act upon any information on this website, you do so at your own risk. While the information on this platform has been verified to the best of our abilities, we cannot guarantee that there are no mistakes or errors.We reserve the right to change this policy at any given time.  

this special episode of Cloud Wars Live, Bob Evans chats with Gerrit Kazmaier, president, products and technology, Workday. They explore how Workday is evolving into a platform company, the role of AI agents in reshaping enterprise workflows, and why trust, accuracy, and extensibility are key to future-ready business solutions. Kazmaier also discusses Workday's approach to ecosystem innovation and composable ERP.Workday's AI FutureThe Big Themes:Real-World Business Value From AI-Driven Results: Workday's AI capabilities are already producing concrete results. Kazmaier shares examples like a recruiting agent that increased recruiter capacity by over 50% and contract intelligence tools that slashed legal costs by up to 60%. These aren't experimental features—they're embedded in Workday's workflows to improve productivity and efficiency.Agents Will Enhance, Not Replace Applications: Kazmeier addresses the myth that AI agents will replace applications. Instead, Workday sees agents as accelerators of existing apps. Many enterprise applications were designed around human cognitive limits, but now AI agents can take over some of those mental loads. Over time, agents will become so proficient they'll perform roles autonomously. But they won't erase apps,they'll enhance them.Composable ERP Is Now a Reality: Workday is making good on the long-promised vision of composable ERP: modular, customizable systems that allow organizations to choose the best tools for each job. Historically, integration challenges made composability difficult. Now, AI simplifies that complexity. Intelligent interfaces and smarter integration allow Workday's ecosystem to plug into its core platform more fluidly.The Big Quote: “This is like early Internet days . . . some people had innovative ideas. But economics weren't just there. Bandwidth was limited and expensive; not everyone had an Ilenternet-ready device...but as exponential improvements happened . . . an entirely new economy was invented, and I think it's the same with AI."

At Google Cloud Next 2025, Google Cloud Vice President of Applied AI Duncan Lennox sits down with Bob Evans in part three of our series "Google Cloud and the AI Revolution." They discuss how Google Cloud is redefining enterprise applications through purpose-built AI agents, the shift from incremental to transformational innovation, and how businesses can harness agentic AI to deliver seamless, end-to-end customer experiences at scale.Google Cloud's Agentic RevolutionThe Big Themes:Beyond Infrastructure to Applied AI: Historically, Google Cloud was associated with infrastructure, data analytics, databases, and backend technologies. However, it's now undergoing a transformation, stepping boldly into the realm of applied AI. Rather than just competing with established players in enterprise applications (like ERP, HCM, or CRM), Google Cloud is innovating at a more foundational level by creating entirely new types of agents and applications.The Customer Engagement Suite, A CRM Rethink: Google Cloud's Customer Engagement Suite isn't just an upgrade to traditional contact center software — it's a full reimagining of how businesses engage with customers. Historically, customer service was seen as a cost center: something to be optimized for efficiency and minimized wherever possible. Google Cloud flips that on its head. With the Customer Engagement Suite, the focus shifts toward creating differentiated, high-quality customer experiences that build brand loyalty, satisfaction, and even new revenue streams.Best Adoption Practices: Lennox discusses several best practices for companies looking to succeed with applied AI. First, start somewhere tangible — don't try to "boil the ocean." Select a high-visibility area where AI can solve real problems and produce measurable results. Second, tie your efforts directly to business outcomes, such as customer experience improvements, revenue growth, or operational savings. Third, choose a strategic partner capable of evolving with you as the technology advances.The Big Quote: "Experimentation is great, of course, but what I see more and more as I talk to C-level executives is they now want to be able to deliver ROI, and you have to make some bets. You've got to choose some areas. For us in applied AI, Customer Engagement Suite has been a great one, because it's a problem that C-level execs can understand."Learn More:Check out details about Customer Engagement Suite, and follow Duncan Lennox on LinkedIn.

Erwan Menard is the director of product management for Google Cloud's Cloud AI division, where he helps lead innovation at the intersection of AI agents, enterprise systems, and business outcomes. In part two of our series, Google Cloud and the AI Revolution, Erwan joins Bob Evans to discuss how governance, intentionality, and rapid scaling are critical to AI agent success, share insights on Google Cloud's Agentspace and Agent Builder tools, and explore how multi-agent collaboration is reshaping the future of enterprise technology.Purpose Driven AI InnovationThe Big Themes:Intentionality Drives Impact: Menard advises organizations not to jump into AI agent development for novelty's sake, but to begin with a clearly defined problem and desired business outcome. However, once value is proven, it's crucial to scale intentionally. He shares the example of a customer rolling out 40,000 licenses of Agentspace only after deeply considering what kind of first experience they wanted their employees to have.Organizational Culture Shapes AI Adoption: There's no universal model for who should “own” AI governance. It depends on the company's culture. Some companies may create centralized AI governance teams; others may embed responsibilities within existing business units or IT teams. The key is cultural acknowledgment: governance must be understood as a shared responsibility, not just an operational afterthought.Anchor in Business Value: With so many tools, models, and frameworks emerging, it's easy for companies to fall into what he calls “optionality evaluation.” That is, spending so much time chasing the latest innovations that they lose sight of why they started exploring AI in the first place. Instead, he urges leaders to ask: What are we trying to improve? Whether it's speeding up contract workflows, freeing up data scientists from routine tasks, or enhancing customer service, the goal should be clear.The Big Quote: "If you find yourself in a constant evaluation loop for the new shiny object, maybe it's worth taking a pause and saying, 'Why are we doing this again?'"

At Google Cloud Next 2025, Google Cloud VP and CTO Will Grannis joins Bob Evans to explore how AI is reshaping enterprise technology. Grannis shares how Google Cloud's OCTO team works with customers on complex challenges, using DeepMind research, next-gen TPUs, and AI-native infrastructure, while noting the fading line between B2B and B2C and the cultural changes needed to adapt.Inside Google Cloud's AI Strategy Google Cloud Is AI-Native at Its Core: Grannis says that Google Cloud's approach to AI is foundational. The organization's mindset, shaped by Google's long-standing leadership in AI, infuses every layer of its stack, from infrastructure to user interfaces. With a legacy of deploying machine learning at scale for over a decade, Google Cloud doesn't just offer AI tools—it helps customers reimagine their businesses through AI-native thinking, using products like DeepMind and innovations born across Google's consumer ecosystem.The OCTO Team Solves the Hardest Problems with Customers: Grannis leads the Office of the CTO (OCTO), a team he jokingly calls “the nerdy Navy SEALs.” They tackle highly complex, unsolved customer challenges that can't be addressed by existing products. Rather than building solutions in isolation, they co-create alongside customers. They start with business outcomes and design backward.Multi-Modality and Multi-Agent Systems Are the Future: Looking ahead, Grannis predicts that multi-modal AI, i.e. models that process images, text, speech, and even scent, will become the standard. He also foresees a shift from single-function agents to “agentic workflows” powered by multiple orchestrated AI agents. Google is prototyping orchestration with projects like Astra, that signal a future where AI is not only intelligent but contextually aware and collaborative.The Big Quote: “People . . . spend a lot of time just trying to take a PDF and analyze it. It seems very true. It is a pain . . I think that's one reason why a NotebookLM or a product like that has been so popular because it really attacks like the heart of what people hate doing at work. [AI] puts them in the driver's seat. They can ask questions, they can do analysis.”Learn more:Check out OCTO, NotebookLM, and Google Cloud.

Inside SAP Business NetworkThe Big Themes:New Organizational Structure: SAP reorganized its internal teams by combining Business Network and Digital Supply Chain into a new unit: Supply Chain Management. While this may sound like internal restructuring, Tony Harris explained that for customers, it signals a major innovation push. A major focus in 2025 will be on supply chain orchestration and supply chain risk — two areas that demand real-time responsiveness and cross-functional collaboration.SAP Business Network as a Response to Tariffs and Disruption: With the rise of geopolitical tensions, trade wars, and tariffs, companies need to rapidly adjust their supplier bases. SAP Business Network helps companies respond to such disruptions. If tariffs threaten certain international suppliers, businesses can use SAP Business Network to quickly identify alternative suppliers in unaffected regions or within domestic markets.Introducing SAP Business Network Promote Subscription: On the very day of the interview, SAP launched a new subscription service called SAP Business Network Promote, designed specifically for suppliers. This offering helps vendors raise their visibility and connect with global buyers on SAP Business Network. Features include enhanced and verified company profiles, uploading of full product catalogs, and access to AI-powered tools for responding to requests for information (RFIs), improving content, and correcting invoice errors. Suppliers also receive robust data insights.

Episode 50 | AI Agents in ActionThe Big Themes:The Rise of 'Agent Ratios': As companies roll out more AI agents, the "agent-to-human ratio" could become a useful AI maturity indicator. Currently, we're seeing early adoption — with Oracle reporting that only 5–10% of its customers have put agents into production. These early use cases focus on low-risk, easily-automated tasks. It's a cautious start, but the trajectory is upward. Bonnie points out that once the groundwork is laid, the pace of adoption will likely accelerate, yielding increased productivity.Four Smart Questions for Evaluating Enterprise AI Initiatives: To help customers decide whether to adopt AI capabilities, Bonnie offers four key questions: (1) Is it available to me? Not all customers have access to AI features; infrastructure matters. (2) Do I need or want it? Weigh the risk-reward tradeoff, especially in terms of time and internal resources. (3) Is my data protected? Ensure your vendor offers strong governance and compliance support. (4) What is the time to value?Knowing When to Leap and When to Wait on AI Adoption: Should companies wait or dive into AI now? Her advice: it depends. If your organization is in a fast-moving, innovation-driven sector, early adoption is essential to stay competitive. Waiting could mean falling behind. But for highly regulated industries or companies unused to rapid tech change, a cautious approach makes sense.

Intelligent Spend's PowerThe Big Themes:Enhancing Supply Chain Collaboration and Visibility: Traditional ERP systems, while efficient in automating internal procurement and supply chain processes, are typically confined within the organization's boundaries, leading to disconnects when interacting with suppliers, manufacturers, or carriers. SAP Business Network addresses these challenges by extending end-to-end automation beyond organizational walls. As a result, organizations can build resilient, agile supply chains.Driving Tangible Business Outcomes and ROI: Organizations utilizing SAP Business Network experience improvements in operational metrics. Companies have accelerated order delivery by 27% and increased go-to-market speed by 30%. A pharmaceutical company reduced safety stock by nearly 50% due to improved supply chain visibility, while Richmond International, a luxury goods producer, achieved an 82% digitization of purchase orders and cut warehouse receiving efforts by half.Leveraging AI and Innovation for Supply Chain Resilience: SAP Business Network empowers organizations to build resilient, adaptive supply chains through innovative technologies and AI-driven insights. By providing visibility not only into direct (tier one) suppliers but also into deeper supply chain tiers (tier two and beyond), the network enables proactive risk management and operational agility. Additionally, SAP's strategic focus on becoming an AI-first company ensures continuous innovation.The Big Quote: “SAP Business Network was designed to modernize how companies connect with their trading partners, leveraging AI and configurable business rules to enable seamless transaction exchanges by integrating directly with the back-end systems. SAP Business Network digitizes interactions that previously relied on manual emails, one-off portals and hence we're able to streamline processes and reduce inefficiencies."

The Big Themes:AI and Humans Working Together: Salesforce envisions a future where AI and humans collaborate rather than compete. Rather than replacing human jobs entirely, AI is seen as a tool that enhances human productivity by handling repetitive tasks, improving decision-making, and streamlining workflows. Salesforce's AI-driven offerings, like Agentforce, are designed to integrate seamlessly with existing systems to empower employees.Rapid Adoption of AI Agents: At Dreamforce, Salesforce onboarded over 10,000 companies onto Agentforce in just three days, demonstrating the speed at which AI adoption is occurring. This large-scale deployment suggests that businesses are eager to implement AI-powered solutions that can immediately improve efficiency. Unlike traditional software rollouts, which can take months or even years, Salesforce's AI systems can be integrated within minutes, allowing companies to see immediate benefits.AI's Future Includes Robotics: Salesforce anticipates that AI will soon extend beyond digital applications and into robotics, enabling automation in physical environments. AI-powered robots could be deployed in manufacturing, logistics, field service, and even household tasks. For instance, AI agents could be embedded in robotic systems that perform maintenance, deliver goods, or assist with healthcare services.The Big Quote: "Our CEO, Mark Benioff, kind of kidded around in Davos to a room full of CEOs saying, 'Congratulations, you're the last CEOs who ever managed an entirely human workforce . . . the punch line is, going forward, there's going to be AI and humans working together to help customers on every company around the world."

The Big Themes:Rapid Evolution in Enterprise AI & Cloud Technologies: The pace of AI-driven change in enterprise software is accelerating, making it essential for companies to keep up with frequent updates and enhancements. Major vendors like SAP, Workday, and Oracle are rapidly evolving their AI capabilities, offering new tools and features to meet growing business demands. Companies that fail to adapt risk falling behind as competitors leverage AI for efficiency and innovation.The Databricks Breakup Prediction Example: A compelling illustration of AI's potential came from Databricks' origin story: an attempt to predict relationship breakups based on digital footprints. There's a fundamental AI challenge — single-source data (e.g. judging only by a single social media page in the breakup predication example) is insufficient for accurate predictions. Instead, AI requires comprehensive, multi-source data aggregation to generate meaningful insights. This principle is now applied in enterprise software.The Growing Importance of AI-Powered Business Suites: A key takeaway from recent developments is the increasing importance of AI-first, suite-first strategies. SAP, Workday, and Oracle are all prioritizing integrated AI across their application ecosystems, making AI a core component rather than a peripheral feature. This shift reflects growing customer demand for intelligent automation, predictive analytics, and enhanced decision-making across business functions.

Validated Partner Status Enhances Client Confidence and Outcomes: Infosys' achievement of becoming an SAP-validated partner for RISE with SAP ensures that Infosys provides a predictable, standardized, and scalable approach to cloud ERP transformations. Clients gain clarity on transition strategies, enabling them to adopt clean core principles and maintain differentiation in their business processes. This rigorous partnership offers assurance about time, cost, and risk in transformation projects.AI-Driven Solutions and Industry-Specific Playbooks Add Value: Infosys leverages AI-first approaches and solutions, such as Infosys Cobalt and Topaz, to drive client transformations. By focusing on industry-specific playbooks and workflows, Infosys reimagines business processes, such as order-to-cash, with AI-driven efficiency. The use of 40+ AI-infused accelerators enables rapid adoption and delivers measurable benefits, like enhanced customer satisfaction and reduced errors.The Critical Role of SAP's Business Technology Platform (BTP): SAP's BTP plays a vital role in helping clients maintain clean core principles while allowing unique business workflows to operate independently. Infosys supports this transition by building customer-specific solutions on SAP BTP. For example, an electric utility company reduced billing errors by 30% and enhanced customer satisfaction through predictive insights enabled by Infosys' intelligent customer insights solution built on BTP.The Big Quote: “We are leveraging AI for the cloud ERP implementation by embedding AI in the various services we deliver to clients, whether it is code generation, whether it is knowledge acquisition, whether it is using more nuanced industry solutions . . . so that it is leading to improved quality, higher productivity and accelerated timeline for execution."

Salesforce's Excitement for 2025 and the Role of Agents (01:04)Benioff shares his enthusiasm for the current technological moment. He explains that agents will help businesses operate at lower costs and improve key performance indicators (KPIs). Agents are being rapidly adopted, with Salesforce deploying its agent platform at scale and significantly reducing the workload on human support agents. "We are in an opportunity, I think, for all of our customers, to connect with their customers in this incredible new way that we call agentics or agents . . . we're witnessing something I think, that we've only seen in the movies."Salesforce's Market Position and Digital Labor (02:35)Salesforce is the second largest software company in the world, with a $38 billion market cap and $12.9 billion in cash flow. "I think we're one of the first enterprise software companies to deliver an agentic platform at scale with the level of performance and capability that everybody wants." Its platform, Customer 360, integrates various products, creating a comprehensive solution. It's well-positioned to address the issue of digital labor, which has the potential to transform businesses. Benioff says there's a multi-trillion-dollar total addressable market (TAM) for digital labor.The Importance of Data and AI in Salesforce's Strategy (10:30)Benioff outlines three core initiatives at Salesforce over the past 24 months: integrating acquired apps into the core platform, developing a high-performing data cloud, and enhancing the agentic layer. He discusses the importance of a unified data model and the integration of the data cloud with Salesforce's apps. AI and machine learning have made many advancements in recent years and while AI is not yet perfect, it has significantly improved over the past decade.Salesforce's Core Values and Commitment to Partnership (15:29)Salesforce's core values — trust, customer success, innovation, equality, and sustainability — have remained unchanged for 25 years. As Salesforce moves into new technological frontiers, including AI, Benioff stresses the importance of transparency, communication, and collaboration. "We are moving into a new world together, and we're going to be better together." He reaffirms Salesforce's dedication to working closely with customers and welcomes them into the future of innovation and technology.The Role of Agents in Enhancing Human Potential (17:11)Benioff discusses the potential of agents to enhance human capabilities, citing examples from Disney and Gucci where AI has improved employee performance and customer satisfaction. "We also saw that in Gucci, for one of the call centers where we deployed this technology, revenue [rose] 35% because the agents were just making those employees just better." He touches upon the need for rebalancing roles within the company as AI takes over certain tasks, ensuring that employees are continuously skill-building and evolving.The Future of Agents and Applications (20:50)He addresses the misconception that traditional databases and applications will be entirely replaced by voice-driven AI interfaces, like those depicted in the movie Her. He explains that AI models are not data storage systems but intelligence engines that augment and extend existing capabilities. While AI is evolving rapidly, Benioff says that current enterprise systems still rely on databases, applications, and workflows. He clarifies that AI will complement these systems rather than replace them entirely.

Episode 48 | Enterprise Innovation Meets AI PowerThe Big Themes:Workday's Strengths: Workday is carving a strong niche in HR and financial data management, two areas ripe for innovation through AI. The company has identified talent management, recruiting, and onboarding as key areas where AI can drive efficiency and improve decision-making. This emphasis on HR tech makes Workday attractive to organizations looking to modernize their HR processes.Adoption Challenges: One of the biggest challenges in 2025 for AI in the enterprise software space will be customer adoption. Whether it's overcoming resistance to change, integrating new systems with legacy platforms, or ensuring employees have the necessary skills to use AI effectively, the road to widespread AI adoption can be bumpy. Vendors must provide practical, easy-to-understand use cases that demonstrate AI's value.Oracle's Complex Implementations: Oracle's enterprise solutions are often criticized for their complexity, particularly when it comes to implementation. The flexibility that Oracle provides means customers can tailor solutions to fit their specific needs, but this level of customization often requires substantial technical expertise and time. Oracle's challenge will be to find a balance between maintaining this flexibility and simplifying the implementation process.The Big Quote: “AI has to be able to cross multiple parts in multiple applications to synthesize all that information together. AI makes it easier for these systems to have integration, so to speak, as long as the provisioning is all within the same suite of products . . . For customers, having everything under the SAP umbrella or the Oracle umbrella or the Workday umbrella across multiple lines of business is, in the age of AI, going to be really helpful, because then your agents are able to be that much more effective."

AI's Role in Business Transformation (00:59)Bill McDermott notes a shift in CEOs from mere fascination with AI to AI-led business strategies. He sees ServiceNow's role in AI transformation as being that of a "control tower." AI has impacted several business areas including customer service, supply chains, employee onboarding, and risk mitigation. It's also a great tool for labor arbitrage. That's not to mention that AI agents can operate 24/7 without breaks, complementing human efforts.Agentic AI, A Holistic Solution (04:01)Agentic AI is on the rise and will serve customers, employees, and operations, taking over tasks computers handle more efficiently than humans. While current AI agents are often siloed within departments, ServiceNow's platform integrates these agents across the enterprise, offering a holistic solution. "So now you have the agents working together to accomplish something," McDermott says, "as opposed to just doing something for one function." The foundation for this integration lies in a unified data model and architecture.Customer Trust and Innovation (06:53)Trust is the ultimate human currency. Without it, McDermott says, there's no progress. Customers know they can trust ServiceNow and its technology. He mentions its investments in customer success programs, innovation accelerators, and strategic partnerships to drive business impact. Net new innovation must be delivered to customers, employees, and shareholders through both traditional and new consumption models.Partnerships and Integration (10:29)McDermott discusses ServiceNow's partnerships and the potential for a multi-cloud approach similar to the infrastructure side. He's confident in the market's ability to accommodate multiple players and points to expanded collaborations with Cognizant, NVIDIA, and others. He talks about ServiceNow's integration with hyper-scalers including Microsoft, AWS, and Google Cloud, showcasing the benefits of a comprehensive platform for business processes. "We're open, and we integrate with everybody."Balancing Trust and Innovation (14:29)Balancing trust and innovation in the AI era is a challenge as ServiceNow becomes increasingly embedded in customers' operations. McDermott emphasizes the value of trusted partnerships and selective collaboration to sustain customer trust. He highlights ServiceNow's partnership with NVIDIA and its recognition in the American Opportunity Index, which measures employee prosperity post-employment.The Future of Work and AI (16:34)In the future, AI will revolutionize work by reducing monotonous tasks and freeing up time for innovation. ServiceNow is part of creating that future, already using AI to simplify complex workflows, saving employees significant time and allowing them to focus on higher-value tasks. "This is a renaissance moment for the workers. They get to get rid of the soul-crushing work that they've never wanted to do anyway." Reskilling the workforce will be necessary for this revolution and is being done through initiatives like ServiceNow University and the AI Institute.

Top 10 CEO Outlook 2025 series. Krishna shared with Cloud Wars Founder Bob Evans the company's optimistic outlook for 2025 amid geopolitical and economic uncertainties. They also discuss IBM's shift towards software, its AWS and Palo Alto Network partnerships, and how Red Hat has flourished since joining IBM.HighlightsIBM's Optimistic Outlook (01:18)Despite current geopolitical and economic uncertainties, Krishna remains optimistic about technology's role, especially in terms of automation and AI, in driving business transformations. He notes there's an increased appetite for technology globally, including in Europe, as a response to these uncertainties. Technology is a way to deliver better services at lower costs, which makes it an exciting time for the technology business.Focus on Delighting Clients (03:41)IBM exists to serve clients, focusing on delighting them through technology deployment and support. Krishna discusses the importance of taking risks to innovate and the need to cut bureaucracy and unnecessary processes. He emphasizes that partnerships should be win-win scenarios. "Can we expand the pie in which case we both win because the client is happier?"IBM's Shift to Software and Impact on Clients (06:36)There's been a significant shift in IBM's revenue mix, with software now accounting for almost half of IBM's revenue. Krishna explains that software's flexibility allows for incremental improvements, unlike hardware, which often require more disruptive changes. IBM focuses on software and providing unique value to clients in automation, hybrid cloud, data, and AI.Enterprise Adoption of Large Language Models (10:05)Krishna talks about the current state of enterprise understanding of large language models, or LLMs: "If I look at the enterprise understanding of large language models and what we can do for them, it's like we're in the first innings of a baseball game." Krishna advises enterprises to move forward in three steps: First, start with low-risk applications like customer experience functions such as answering service calls, as well as internal enterprise functions. Second, move to a little more risky but not totally risky use cases, like accounts receivable, procurement, and supply chain. Then, step three is applying LLMs to things like oncology and diagnosis in healthcare -- vertical-industry-specific functions. The excitement is more on step three, but customers should initially focus on the first two, where there's a lot of value.Leveraging Automation to Drive Innovation (15:04)All enterprises understand the importance of running lean and using productivity gains to focus resources on high-value activities. Krishna shares that IBM has freed up resources by automating tasks, allowing for more R&D to develop innovative products. He notes that overall employment has increased, but more focus is on high-value activities that enhance growth rates.Red Hat's Growth and Role in Hybrid Cloud (16:59)Red Hat has had impressive growth since joining IBM. Krishna says it has more than doubled its revenue since joining IBM in 2019, now exceeding $6 billion. He explains that Red Hat is the leading hybrid cloud platform, allowing for flexibility in deploying workloads across data centers and cloud environments.R&D as a Growth Engine (21:40)R&D should focus on innovation and quickly bringing those innovations to clients. R&D is about identifying unmet needs. "Henry Ford was asked like, how did you think of the Model T? And his answer was 'Look, if I had surveyed my customers, they would have said they wanted a stronger horse or a longer whip, but the automobile was the right answer.' Krishna mentions that quantum computing is a key area of focus for IBM in terms of research and development.The Benefits of Strategic Partnerships (24:56)IBM's strategic partnerships impact client value and IBM's growth. Krishna notes that half of IBM's consulting team's revenue now comes from these partnerships. He provides the example of IBM helping Delta Airlines move to AWS, while integrating Red Hat and other tools to enhance the client's experience. Krishna talks about a new partnership with security software provider Palo Alto Networks that's expected to generate significant pipeline for IBM's consulting team.Final Thoughts and Future Outlook (27:56)Krishna encourages clients to assign technology the same importance as other critical functions like finance and marketing. "Do you give tech the same importance that you give your CFO?" He reiterates the importance of technology and the need for businesses to adapt to its rapid pace of change. Evans closes by observing that in 2025, there's potential for the Cloud Wars Top 10 companies to exceed $10 trillion in combined market cap.

Generative AI and Business Transformation (00:57)Klein discusses the increasing adoption of GenAI among SAP's customers. They see it as a way to improve productivity and business processes. Additionally, SAP software now integrates human language capabilities, enhancing user experience and efficiency. Customers' focus for 2025 and beyond is using GenAI and SAP Business AI to solve complex business challenges and orchestrate end-to-end business processes.Technology Investments and Business Outcomes (02:37)Among customers, there's been a shift from reconciling past actions to optimizing future planning and growth opportunities. "Now we are talking about business model transformation but also, how can agentic AI and Joule . . . help me to orchestrate my new business model." He explains how SAP's offerings help customers bring all business elements to the table for comprehensive transformation.AI's Tangible Benefits (04:10)Proving the outcomes of AI investments is critical in times of financial pressure. SAP's Business AI offerings are designed to demonstrate tangible business benefits, such as improving the quote-to-cash process. "We make sure that you can quote more intelligent, that you can sell more, that you can price more effectively, and that you can run all the fulfillment processes in the back end way more productive. Then the customers [says], 'Absolutely, I'm all in for buying more AI units from SAP'."End-to-End Processes and Customer-Centric Approach (06:39)Klein discusses the cultural shift towards end-to-end processes that meet customer needs and explains how SAP's AI Foundation and tools are agnostic to various large language models. SAP's suite of offerings provides a unified approach, avoiding the silos created by working with multiple tech companies.The Rise of Agents (08:24)Agents are ascendant and playing a significant role in driving better business outcomes. Klein provides a concrete example of how agents will collaborate in demand, supply chain, and procurement processes. He explains how agents collaborate, to "[make] sure the customer gets an extremely valuable output end to end." Orchestration and Collaboration of Agents (10:59)Klein describes how SAP's generative AI assistant, Joule, can help orchestrate agents across different end-to-end processes. "Joule can help you to predict demand with our sales agent and Joule orchestrates to work with the supply chain agents on the inventory side, and then Joule helps, you know, to orchestrate the work, you know, with the procurement agent."SAP's Growth and Future Vision (12:44)SAP has had significant growth in applications, outpacing competitors. Klein attributes this to SAP's suite approach, which provides a comprehensive solution for core business processes. He talks about the importance of integration and extensibility, allowing customers to choose the best solutions for their needs.Under Klein's leadership, SAP has transformed into a cloud and AI-focused company. Klein discusses SAP's vision as an end-to-end solution provider, delivering continuous innovation and enabling holistic business transformation. He explains, "The perception is yes, SAP is really delivering end-to-end solutions to me, but they [are] also helping me because they have a ton of industry knowledge, they have a ton of business process knowledge, and they are by far more than only a technology partner, they are also helping me with RISE and GROW, a kind of a methodology on how to transform my business."SAP Management Team and Final Thoughts (19:56)SAP has a strong management team, including new executives from Microsoft and other top companies. Klein expresses confidence in SAP's ability to continue delivering value to customers and partners. The conversation concludes with his encouraging everyone to embrace the new year with enthusiasm in particular for the opportunities of agentic AI and Joule to drive business outcomes.

 Customer Mindset and Priorities in 2025 (01:47)The current climate of geopolitical and economic uncertainty is driving the need for speed and agility when delivering value to customers. Google Cloud customer projects that do just that include improving logistics at UPS, enhancing search functionality, and boosting customer service at Hanesbrands and Macy's. "Uncertainty means the great CEOs want action," Kurian says. "You control the controllable, and you do that by improving speed in your organization." Kurian also discusses significant AI integrations, such as Google Cloud's collaboration with Samsung on its phones and Snap's in-app coach, which are shaping the future of customer interaction.Cloud and AI as a Continuum (04:08)Kurian explains that cloud services actually simplify the deployment and management of AI because they provide models and accelerators as services, reducing the complexity of managing AI systems. In turn, AI helps to streamline cloud services by enabling faster and more efficient application development. Customer examples of how cloud and AI work together to deliver innovative offerings can be found in AI-driven risk calculations at Hiscox, tailored advertising for Puma and Radisson, and content discovery for Warner Brothers Discovery.AI's Impact on Business and Productivity (07:48)AI is no longer confined to IT departments but is now influencing a wide range of business functions. It's improving productivity by streamlining operations, such as facilitating live patient handoffs at hospitals. "Allowing the nurses to do live handoff to another nurse means more time at the bedside. It means more productivity."AI is also enhancing product development by enabling customers to articulate complex needs, which AI can then translate into tailored recommendations. Furthermore, AI's role in call center automation is improving efficiency by handling high volumes of customer inquiries and providing superior service.Customer Service and AI Integration (13:01)Google Cloud's approach to integrating AI with customer service helps businesses create more cohesive and efficient customer experiences by improving reach, understanding, and interactions across multiple channels. Kurian discusses innovations such as the self-service retail search at InterContinental Hotels and digital concierge services for Orange. AI agents manage customer queries, upsell products, and improve service efficiency in call centers.Cost Optimization and Efficiency in AI (15:52)There are several ways in which Google Cloud is addressing the challenges of AI tool affordability. Kurian outlines initiatives aimed at improving the efficiency of AI, such as new software capabilities and optimizations to AI models. In the last six months, Google Cloud has significantly reduced costs, with model costs dropping by more than 10 times. Additionally, improvements in latency and the reduction of AI response iterations are also helping to make AI more efficient and cost-effective.Customer Acknowledgment (18:46)In closing, Kurian expresses his gratitude to Google Cloud's customers, partners, and all those who have supported the company's journey. "To every customer, every partner, everyone who gave us a shot, you were the reason that all of our people worked so hard. Thank you."

AI Adoption and Business ValueEschenbach explains that there's been a shift from experimental AI phases to practical implementation. The shift means that "customers are going to look to go to trusted partners, partners they have an existing relationship with, partners that they know have a highly curated set of data." Workday has such a curated data set. Further, as part of the shift, there's now a need for ROI and total cost of ownership analysis in AI investments.CEO Priorities for 2025 AI, enterprise consolidation, and talent are Eschenbach's key priorities for 2025. When it comes to talent, he says CEOs and other leaders need to think about how "that talent is going to ultimately peacefully coexist with AI and things like agents in the future." He also discusses Workday's AI mindset — it's not just about delivering it to customers but also successfully integrating AI internally — along with AI's role in driving productivity. Customers are looking to do "more with less." They want to consolidate point solutions onto more comprehensive platforms like Workday.AI Deployment and Talent Integration CEOs should foster an AI-first culture. Eschenbach provides examples of AI use cases, such as job description automation and recruiter agents, showcasing the tangible ROI and productivity gains in HR and finance. Integrating AI with existing talent helps drive business benefits.Competitive Advantages and Market Position Workday's success stems from its technology, large client base, and on-time delivery. "Our customers have greater than a 95% on-time delivery of the Workday platform and on budget," Eschenbach points out "We know how to deploy this at scale across the biggest companies in the world, which gives us a leg up versus our competition, who, at times, have very complex data sets and environments and can't implement at the speed and pace and at the dollar value that a Workday can." Other Workday attributes include its platform's open architecture, as well as its strong company culture and high levels of employee engagement.Partner Growth and International Expansion Eschenbach reports significant growth in the partner community and its impact on business. "Historically, we've had really good partners . . . 10% of our new business in New ACV [annual contract value] last quarter came from our partners. Our partners are having a meaningful impact on our business. We have grown our partner community by five times in 18 months." He speaks about the focus on selling through hyperscalers and forming strategic partnerships, as well as the potential in international markets and continued investments in new sectors, such as the U.S. federal market.Data Set and AI Partnerships "We're opening up the aperture," Escenbach says, explaining how Workday is tackling AI. "We're thinking about AI in multiple ways." Curated data is essential for AI tools. Eschenbach discusses the Workday platform's integration with Slack and Microsoft to enable agent-to-agent communication, underscoring that data is important in powering AI tools and delivering customer benefits.Innovation and External ConcernsIn the face of the potential impact of global macro situations, there's a need to stay focused on innovation."We focus on innovation, and we focus on each other here inside the building and our workmates, and we continue to support our partner ecosystem on a global basis. So while there are some concerns out there, if you focus too much on them, it's a distraction."

HighlightsCustomer Boldness (00:21)In previous keynotes, Catz has encouraged customers to be more bold – and customers are responding to that. Oracle's cloud business is growing at a rate of 50% a year. “More and more of our customers are willing to not only jump in with one foot but their entire bodies because they're getting more comfortable and they're also seeing that competition is moving,” Catz says.“Transformation and transforming yourself and modernizing yourself, that is not a destination; it's a constant journey.” Businesses are recognizing that they become more adaptable to meet customer expectations when they embrace these new technologies.Multi-Cloud Agreements (04:25)Multi-cloud agreements with Microsoft, Google Cloud, and AWS kicked off in 2024. “We have always believed that the customer should get to choose what they want to use and what environment they want to run in and how to really advance their agenda,” Catz expresses. Oracle doesn't believe in building walls or trapping customers; being open to this idea is central to Oracle's success. Because Oracle Cloud has different capabilities, the company has been able to collaborate with other providers to make their offerings work together to best meet customer needs.Healthcare Industry Offerings (08:55)Oracle has put extra energy into its industry suites, particularly for the healthcare industry. It aims to be able to handle everything from clinical trials to inventory to nursing schedules and more. At a recent health summit, Oracle launched new AI-powered capabilities for healthcare. While the company competes in several industries, Oracle acquired Cerner because “we knew that we needed to bring healthcare into the 21st century.”Larry Ellison previously shared that “we can't do it alone.” This means partnering with customers and being open to partner with other companies to apply their capabilities to ensure a quality customer experience is being delivered for patients, doctors, administrators, and others in the healthcare industry. “Do more, spend less doing it – that's our job, to give them that ability,” Catz summarizes.Revenue Goals (17:06)At its financial analyst meeting last fall, Oracle released its vision for $100 billion in revenue a few years out. Catz describes what that will look like within Oracle and how customers will contribute to the company achieving those figures. “We're telling you now, every year is going to be bigger and accelerating more,” Catz says. “The way that that curve works – it's almost unstoppable once it starts.”Cloud Data Centers (22:30)Oracle has been developing cloud data centers that are “small enough to go on a ship” as well as what Ellison has called the world's largest data centers, Evans notes. This will be important to Oracle customers in the coming years and beyond because “it gives them flexibility,” Catz explains. “We can start at any size and expand as they need it.”Ellison and New Products (24:59)2024 was a busy year for Ellison and 2025 will continue in the same manner. “This fellow does not rest,” Catz says. The Oracle team loves the new capabilities and new product lines that they've been rolling out to customers that there are no signs of slowing down.

The Future of AI and Data in 2025:  There's a lot of excitement and prototyping around AI. "People are excited that they can ask questions and get real answers instead of getting the proverbial 10 blue links. I think people see the promise of things like that. How do you make that work at scale? How do you make that work in a reliable way, and how do you make it work in a way that's not expensive?" Ramaswamy shares a recent experience in India, describing the cost-consciousness of customers and the focus on making data accessible and valuable.Shifting Priorities for Snowflake Customers:  What do customers want? Ramaswamy identifies goals including empowering business users with data faster and unlocking the value of unstructured information. In response, Snowflake is helping customers access and utilize historical information and build hybrid systems. He notes that SQL enables easier data transformations and extractions.Cultural Change and AI Adoption: Cultural change is required for companies to handle AI. Even within Snowflake, adopting AI has been a challenging process. Snowflake's engineering and sales teams are beginning to use AI tools like Copilot and Cortex, but there's a need for ongoing practice to fully integrate AI into daily operations. The Promise of AI and Data Platforms: AI has the potential to free up significant time for employees, allowing them to focus on higher-value tasks. Snowflake aspires to make data platforms simple and accessible, allowing users to perform complex tasks with ease. Its consumption model has several benefits and aligns it with business goals of making more money or spending less. Companies like Siemens are using chatbots to improve efficiency and access to information.Competition and Innovation in the Data Market: Competition, Ramaswamy says, drives innovation and improves products. It only strengthens Snowflake, which stands apart due to its unified platform, tight integration, and ease of use. "If you create a chatbot with Snowflake, it will automatically obey all of the access control rules that you have set up. It will automatically obey all of the data masking that your administrator has set up." Ramaswamy discusses the challenges of balancing innovation with maintaining simplicity and efficiency in Snowflake's product offerings.Mega Trends and Challenges for Snowflake: Ramaswamy sees two mega trends for 2025: the rise of interoperable data formats and the acceleration of AI. Snowflake is well-positioned to take advantage of these trends through its end-to-end offerings and data engineering capabilities. However, there are challenges to maintaining data quality and speed while innovating rapidly. AI tools like agents must drive real utility and value for customers.Data Literacy Initiative: One Million Minds Plus One: Snowflake has a new initiative aimed at improving data literacy. Data can be difficult to interpret, and the right skills are necessary to do so. Snowflake is spearheading an ambitious program to educate over a million people in data literacy, free of charge. The initiative includes teaching concepts like data engineering, data analytics, and using BI tools and notebooks for interactive analysis.Excitement for 2025: Sridhar expresses excitement about the potential for AI and data to drive real business transformations in 2025. Snowflake will continue to play a vital role in helping customers become truly data-driven organizations. Navigating growth, competition, and innovation while maintaining simplicity and value for customers is key.

The Big Themes:End-to-End Integration Is a Necessity: In today's fast-paced business environment, success requires a holistic, end-to-end understanding of operations. Organizations must break out of traditional silos. A great CIO and IT team must focus on connecting these silos, ensuring seamless workflows across the organization. This perspective enables businesses to optimize processes, meet customer expectations, and avoid inefficiencies.Logistics as a Strategic Advantage: Companies that excel in managing their supply chain —from sourcing to delivering products to customers — gain a competitive edge. In contrast, companies that neglect logistics risk disappointing customers with out-of-stock items or poor service. Sadin also underscores the complexities of modern global supply chains. Businesses need visibility into every link of the chain to anticipate risks and adapt proactively. This logistical foresight allows organizations to maintain customer loyalty and operational efficiency, even amid uncertainty.Strategic Iteration and Integration Is Key to Progress: Sadin stresses the importance of iterative improvement rather than overhauling systems entirely. His "patch, polish, then perfect" strategy encourages retailers to enhance existing systems incrementally, using tools like robotic process automation (RPA) to connect and optimize processes in the short term. Additionally, Sadin warns against delaying action, likening hesitation to "sitting on a sharp fence," which risks falling behind competitors.

The Big Themes:Network Benefits for Buyers and Suppliers: The SAP Business Network brings together buyers and suppliers. Buyers use the network to strengthen supply chains, meet sustainability goals, and access new markets. Suppliers use it for business growth, streamlined processes, and greater visibility. The network is free for suppliers to join, allowing them to build profiles, respond to RFIs, and engage in sourcing events. With millions of global suppliers, the network serves businesses of all sizes.Transformation of Traditional Business Models: SAP Business Network is helping to eliminate the old divide between back-office and front-office operations. It integrates various business functions — procurement, supply chain, logistics, and order collaboration — making them work together to improve the customer experience. This transformation is vital in an era where customer experience is a key differentiator in competitive markets.Inclusivity of Small and Medium-Sized Enterprises (SMEs): SAP Business Network is designed to serve businesses of all sizes, from large enterprises to smaller boutique firms. With the introduction of the Promote subscription in 2025, small suppliers can showcase their products and services alongside larger companies. Additionally, the network's Discovery feature provides smaller suppliers with the chance to participate in large procurement opportunities.The Big Quote: “We have the biggest companies in the world as suppliers on the network, but we also have millions of SME-sized organizations. Smaller suppliers don't always have a way to showcase their catalogs of products or services in the same way that maybe a large company or a large supply would have, but this new set of capabilities we're providing to suppliers under

Episode 47 | 2024 Tech Insights & 2025 StrategiesThe Big Themes:Trends in Technology Implementation Success Rates: Bonnie shares insights from 742 enterprise software implementation customer reviews. Average satisfaction for implementation processes scored 3.8 out of 5, while partners involved in these projects received a higher rating of 4.7. Projects were completed on time 72% of the time, though 25% faced delays. Budget compliance was slightly better, with 76% staying on budget. Delays often result from incomplete scoping or unforeseen change orders during the discovery phase.Lessons Learned for 2025 Enterprise Projects: Reflecting on 2024, Bonnie offers three lessons for future enterprise projects. First, businesses should prioritize selecting the right partner and involve them early. Second, companies should account for unforeseen delays and cost overruns by padding budgets and timelines by at least 25%. Finally, projects are increasingly complex; ensuring collaboration between vendors, partners, and internal teams is vital.Change Management Tailored to the Audience Drives Adoption: Modern change management extends beyond traditional training and rollout strategies. Effective change management involves clear communication, peer influence, and user-friendly training materials. In 2025, organizations must consider their workforce demographics and preferences — offering bite-sized, engaging content (e.g., TikTok-style videos) and gamified elements to ensure adoption.The Big Quote: “The most successful projects were ones that had the blueprint of success that was clear and . . . a clear set of business requirements, policies, and processes that were in place prior to starting the project itself."

Episode 55 | Tech Disruptions AheadThe Big Themes:Optimism for 2025 as a Transformative Year: Wayne and Bob express optimism about 2025, particularly for the U.S. economy and its impact on CIOs and digital transformation initiatives. Sadin talks about deregulation and efficiency measures, such as those championed by the Department of Government Efficiency (DOGE), could boost confidence and growth.AI and Automation Rise: AI and automation are pivotal for driving efficiency and reclaiming productivity. Examples include ServiceNow's claim of saving users 1.5 days of productivity weekly by automating low-value tasks. Wayne and Bob cite leaders like Larry Ellison and Elon Musk as potential drivers of this transformation, particularly if given the freedom to innovate without excessive regulation.Advances in Chip Technology Drive Performance and Cost Efficiency: Technological advances in chip design, such as the development of two-nanometer chips, promise dramatic gains in performance and efficiency. Wayne points out that smaller feature sizes on chips enable exponentially more transistors per unit, which reduces costs, improves thermal efficiency, and unlocks new capabilities for AI and data processing. This progress aligns with Moore's Law and could revive productivity leaps in hardware development.The Big Quote: "Microsoft's going to be a winner because they've got the legs of the stool, AI in it. Well, maybe four legs, AI, integration, platform, and application. And you don't see that with most of the other players, their application focus, their platform plus application, but Microsoft plays at all layers of the stack, so I can mix and match."