Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I analyze why Workday’s $26B RPO signals strong future momentum in the face of SAP and Oracle.

Highlights

00:15 — Very nice Q3 that Workday recently finished here. Great revenue growth for the quarter ended October 31 — up 15% to about $2.25 billion. 17% growth for its total RPO, to about $8.2 billion. It's been cranking up the innovation engine there at Workday. Small AI-specific acquisitions over the last year or two have really been adding to this so customers have more to buy.

01:16 — CEO Carl Eschenbach made key points. Broadly, everybody sees the potential of AI, but he said most customers find they're stuck with fragmented systems. He said they have bad data, and he said they're not sure that they have the right platforms to work with. Workday believes that its AI solutions can come in and directly address all of those things.

02:00 — He said, "We want to be the new front door to work." He's bringing together three significant components to be able to do that. He said that's enterprise knowledge, a new generation of agents that address some of the most pressing business requirements, and also the HR and financial processes that Workday has helped customers to track for the last 20 years.

03:10 — It wants to be AI-first. With everything it's doing, it's making things as open as possible. It's trying to make things as simple for its customers as it can. These are important differentiators for Workday as it's up against two much larger competitors, SAP and Oracle. Its future pipeline is strong. Customer demand is there. Confidence is there.

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In this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP’s Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.

SAP’s AI Data Future

The Big Themes:

• SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.
• Developers Are 'The AI Revolution': Developers aren’t observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.
• SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP’s decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.

The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."

More from Michael Ameling and SAP:

Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.

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• Information access: While many have Copilot licenses, usage is low beyond basic tasks like email and meeting summaries. The main challenge with adoption is providing guidance within apps like PowerPoint, Excel, Dynamics, and Word so users can access help exactly when they need it. This is something Rehmani's company, VisualSP, and his training platform, copilottrainingpackage.com, specialize in. "I'm a big proponent of giving people 'at the moment need' information," he notes.
• Training paths: Copilottrainingpackage.com enables users to go down different "training paths," explains Rehmani. Specifically, there are pre-built PowerPoint training modules covering key topics like prompt creation and preventing hallucinations. Additionally, there's learning management system (LMS)-ready video content on Copilot use cases in Word, Excel, and other tools for on-demand learning. Finally, the platform offers optional live training sessions for trainers and power users to ensure effective adoption and ROI from Copilot. "At the end of the day, it's all about making Copilot into ROI and not just an expense layer."
• What to expect: Rehmani describes the "anatomy" of the program. It uses seven modules to teach trainers and power users how to craft effective prompts, reduce Copilot errors, and apply specific workflows for high-impact ROI. Then, participants share this knowledge internally, enabling time savings and efficiency across their organizations.
• End-of-year pricing: Users can take advantage of this resource with special pricing through the end of the year. Users can purchase the standalone package for $4,950 or the package and live training for $8,950, all of which could be delivered in 2026, explains Rehmani.

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In today's Cloud Wars Agent and Copilot Minute, I break down why this Microsoft-Anthropic-NVIDIA trio, spotlighted at Microsoft Ignite, may define the next phase of the AI Revolution.

Highlights

00:19 — Today, I want focus on a particularly significant partnership involving not one but three partners, collaborating in multiple ways across various fronts. The companies are Microsoft, of course, Anthropic, and NVIDIA. The trio is set to establish new strategic partnerships that, in my view, truly optimize the unprecedented era of collaboration that we're in

01:02 — Anthropic has committed to a $30 billion deal to purchase Azure compute capacity. Microsoft customers will have access to Anthropic Claude Sonnet, 4.5; Claude Opus 4.1; and Claude Haiku 4.5 models. NVIDIA and Anthropic will collaborate on the design and development required to further optimize Anthropic AI models.

01:48 — In terms of hard-dollar investments in Anthropic, NVIDIA is committing up to $10 billion, while Microsoft is committing up to $5 billion. Now, I find this whole announcement particularly exciting. These two giants — Microsoft and NVIDIA — are directly investing in the technological and financial future of Anthropic. However, it's far from one-sided, as both are also selling their products to Anthropic.

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Key Takeaways

• Career journey and Microsoft involvement: While he's been in the industry for a long time, Accardi recounts being in the Microsoft arena for about 14 to 15 years. "My entire career has been around technology...and I have familiarity with various platforms," he notes. He has filled a range of roles, including sales leadership, marketing, product management, and more. Over the past several years, he has been "very heavily involved in the Microsoft alliance, their marketing, their programs, and most recently, leading for the last seven years in Microsoft practice."
• Technology evolution: With the impact of AI and evolving technologies, Accardi says this is "almost like history repeating itself...This is just another technology that's making our lives more efficient." Accepting change and new things is always difficult, regardless of what's at play. While initial AI adoption might have been moderate, it has really picked up over the last several months. Questions around AI outcomes have been top of mind lately.
• Where to start: It takes curiosity, creativity, and critical thinking to consider how to get started with a pilot and build from there. Accardi talks about the conversations they have with clients to determine what they want to accomplish and within what timeline. It's essential to understand what clients want to see their organization become, then find a pilot area to explore how it could work.
• The impact of AI: It's important to remember "AI isn't going to come in here and replace all of us, but it's really meant to make us more efficient." Although AI has introduced a fast pace of change, it's also been a fast pace of impact. AI can impact the whole organization, so stakeholders must all be involved. It can increase efficiency and productivity for clients in a major way.

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In today's Cloud Wars Minute, I break down why Google Cloud’s new Gemini Enterprise may be Thomas Kurian’s most ambitious and most defining move yet.

Highlights

00:14 — One of the fastest-growing companies in the Cloud Wars Top 10 — and one that has been the most innovative, successful, and is definitely making a run at the number one spot — is Google Cloud. And I think that this week, as Thomas Kurian begins his eighth year as CEO of Google Cloud, he has recently pulled together what I'm calling his crowning achievement.

01:15 — It's what it's done here with Gemini Enterprise. I think it is the perfect fit to simplify and accelerate the journey into the cloud — or, I'm sorry, into AI, the AI economy — for their business customers. Gemini Enterprise says, “We can do the whole thing end-to-end ... But you're free to pick and choose any of the different pieces of it — bring in other vendors, other technologies."

02:13 — I think what they're doing here is saying, “We've taken care of the heavy lifting of the underlying technology, everything from the models to the platform to the developer tools to governance and security and privacy. You, the customer, can now focus on unleashing your people and their creativity to build on this platform to help drive those great business outcomes you want.”

03:03 — So, different companies at different points in their evolutions and transformations can pick what they want. The big thing: faster time to value, because it's ready to go out of the box. There’s not a lot of patchwork to be done now.

04:00 — Kurian has taken the best of the cloud with the best of AI, and offered them up to customers in a seamless package that delivers not just the underlying technology but this sense I talked about that they can move into this very exciting but also very different AI economy with a lot of confidence about where they're headed and what's going on.

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In today's Cloud Wars Agent and Copilot Minute, I look at how screen-aware Copilots, task-based agents, and multimodal interfaces are reshaping enterprise work — and why identity, permissions, and access guardrails now matter more than ever.

Highlights

00:30 — Two experts, Brian Madden, Vice President and Field Technology Officer and Futurist at Citrix, and Marco Casalaina, Vice President of Products, Core AI and an AI Futurist at Microsoft, hosted a session at this year's Microsoft Ignite conference titled “Develop Your Enterprise Playbook to Prepare for the AI of Tomorrow.”

00:58 — I want to share some key takeaways. Madden laid out a seven-stage roadmap for human–AI collaboration. Steps included simple prompt and paste, the first introduction to AI; next, AI as an analyst for colleagues; followed by AI watching your screen; AI using your computer for you; AI using your computer without you watching; multi-agent AI communication; and the final step: AI-orchestrated work.

01:55 — Ultimately, AI needs to work where human knowledge workers work, because the world we live in today is built for humans, and the way that AI will succeed is by operating within this user space and emulating humans in practice. Users talk to AI, and AI talks to the applications and workflows on behalf of the user.

02:34 — The discussion moved on to the notion of apps dissolving into data, ultimately AI talking directly to the data without going through an application. Casalaina demonstrated this by running Anthropic’s Claude on Azure and giving it the skills to create a PowerPoint. It did — without using PowerPoint. It made the slides in HTML and then converted them without ever opening the PowerPoint application.

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In today's Cloud Wars Minute, I reveal how Palantir leapfrogged the competition with 63% cloud growth, shaking up the Cloud Wars Top 10.

Highlights

00:14 — Periodically, I do an update on what I call the Cloud Wars Growth Chart. The latest list shows that Palantir — new to the Cloud Wars Top 10 — is number one in fastest growth, by a long shot. Google Cloud, which for the last six quarters had been the fastest growing, is now in the number two spot. Oracle comes in at number three.

01:06 — So let’s see here: Palantir — look at this — 63% growth to $1.12 billion. Previous quarter growth rate: 48%. Pretty nice when you can go from 48% to 63% in a market like this. So the question is: What is Palantir doing that has allowed them to grow at these dramatically higher growth rates?

02:05 — Number two, Google Cloud. 34% growth to $15.2 billion. That’s an acceleration from the previous quarter’s 32% growth. The third: Oracle. 28% growth, $7.2 billion in cloud revenue — up from 27%. SAP grew 27% in Q3, $6.14 billion. Previously 28%. Then Microsoft grew 26% in cloud revenue to $49.1 billion for the quarter, down from the previous quarter’s growth rate of 27%.

03:07 — We saw growth throughout the Cloud Wars Top 10. Six of the nine that report their cloud revenue said that they are seeing accelerating growth from one quarter ago to their most recent quarter. So six out of nine growth rates going up, even as they're getting bigger. Now the outlier there is IBM, which does not break out its cloud revenue.

03:47 — The other big thing I see coming along is that we are moving into a place now where it’s becoming fuzzy between cloud and AI. Because cloud, after all, is the delivery vehicle that has made AI now something accessible to every individual in the world.

04:40 — So, we see these sort of intertwined, bonded pairs of cloud and AI. It’s been fascinating to watch this. And these growth rates show the market is getting hotter. These companies are growing faster — for the most part — remarkable. So, hats off to Palantir, Google Cloud, Oracle, and all the others on this list.

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In this episode of the AI Agent & Copilot Podcast, John Siefert is joined by Eric Newell, CEO, Stoneridge Software, while on-site at Community Summit North America 2025, which took place October 19-23. Newell shares his takeaways from the conference, and what he expects the future of AI adoption to look like over the next 12-18 months.

Key Takeaways

• Summit NA buzz: Newell notes the prominence of AI and agents at Summit NA 2025. More specifically, the CRM Product Roadmap session highlighted the transformative potential of agents, though he explains that many clients are unsure how to implement them and bridge the gap. Summit is a unique place that enables attendees to address pain points by connecting them with vendors and peers who offer practical solutions.
• Stoneridge Software's presence: During the event, the Stoneridge Software team was focused on supporting clients’ objectives through sessions and networking. The organization also participated in the GP to BC preconference, where the team is seeing "more movement in them going from GP to BC... helping them get there has been fun," he adds.
• Looking ahead: As referenced during the CRM Product Roadmap session, Newell suggests that a demo which showcased the integrated agents for customer service, including automated knowledge base creation, will accelerate CRM cloud adoption and significantly boost Microsoft’s future growth.

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