Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, explore how SAP's Autonomous Suite could become the operating system for AI-powered enterprises

Highlights

00:02 — The company that more than 50 years ago really started the whole enterprise applications business, SAP, last month at its big Sapphire event rolled out the latest, greatest, newest AI-powered version of their long-running ERP suite, but this time it's called the Autonomous Suite, so that's a huge change.

00:33 — I had a chance to sit down with Jan Gilg, who's Global President for Customer Success for the Americas at SAP headquarters and asked about a number of things that customers have the opportunity to move into with this newer, more fully integrated, more AI-powered Autonomous Suite. And I know there's been some risk that SAP took in selecting this name.

01:49 — Jan's been in SAP for about 15 years. He was on the development side for a long time, and he was leading, several years ago, the development of S/4HANA and that whole version of the suite.

02:36 — We talked about this issue of trust. Autonomous is right there in the name. It's one thing for different autonomous technologies to manage things. But, when you talk about the autonomous enterprise ... we got into the discussion of what SAP has to do to build up trust among its customers.

03:28 — What's the interplay between agentic AI and applications going in both directions? Oracle can now refer to its Fusion Applications as Agentic Applications. Is SAP doing everything it can to clarify in the minds of customers where applications end and agents begin, and the same thing in the other direction? Jan has some great thoughts on that.

04:12 — Everybody in the company, I guess, was running tokens 24 hours a day. So, Jan has some good thoughts on this. And then we talked about customer examples. Let's see, there was one from the retailer H&M, there was one from a manufacturing company, and we had some different ones in here that he brought up. But he really brought some good perspectives on that.

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In this Cloud Wars Special report, Bob Evans speaks with Jan Gilg about how AI is reshaping enterprise software and why the next phase of innovation will depend on trust, governance, business outcomes, and clean data. Gilg explains how SAP is positioning its Autonomous Suite as a foundation for the autonomous enterprise, combining ERP, business processes, and AI agents.

Trust Powers Enterprise AI

The Big Themes:

Autonomous Enterprise Vision: Jan Gilg said Sapphire generated strong enthusiasm because customers finally heard a clear vision for enterprise AI. Rather than focusing solely on AI models or isolated features, SAP presented an integrated strategy built around the Autonomous Suite and Business AI. While consumer AI has dramatically improved personal productivity, enterprise leaders need AI that can help make critical business decisions and automate end-to-end processes. SAP's message resonated because it connected AI directly to business execution, positioning enterprise systems as the foundation for autonomous operations rather than treating AI as a standalone technology layer.

AI Economics Matter: Another major topic was the cost of AI. Gilg noted that enterprises are becoming increasingly focused on transparency, consumption, and measurable outcomes. As AI usage expands, costs can grow rapidly, creating new concerns for business leaders. Customers want detailed visibility into which agents are being used, how resources are consumed, and whether the resulting business value justifies the expense. Gilg compared this need for transparency to a detailed telephone bill.

Data Quality Determines Success: The interview concluded with examples demonstrating that AI success depends heavily on modernized systems and clean data. Gilg spoke of initiatives involving retailers such as H&M, where AI can improve customer experiences, fulfillment, and revenue generation. He also referenced work with Bayer and discussed ExxonMobil’s modernization journey. These examples reinforced a key point: AI delivers the greatest value when built on standardized processes, strong master data, and simplified architectures.

The Big Quote: “You have to lead with value. Yes, technology is exciting, but it does nothing if the customer doesn't see the outcome."

More from Jan Gilg and SAP:

Follow Jan Gilg on LinkedIn or learn more about Autonomous Suite.

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In today's Cloud Wars Minute, I dive into Oracle's remarkable Q4 earnings report, where the company delivered results that exceeded expectations across the board.

Highlights

00:02 — We had a monster Q4 report from Oracle yesterday, absolutely crushed their numbers for Q4, led by an astonishing leap in their backlog or remaining performance obligation (RPO) of $638 billion, That's an increase of 363%. And no, those are not misprints.

00:29 — RPO represents business that's fully contracted, not yet recognized as revenue, so it's pipeline backlog, as opposed to revenue, which has already been posted for what has happened in the past. So I wanted to quickly pop out a couple highlights here that go along with that. Just remarkable RPO growth, cloud revenue overall was up 47% to 9.9 billion.

00:56 — Within that, cloud applications grew 10% to 4.1 billion, and the big star of the company, now their cloud infrastructure business was up 93% to $5.8 billion. One other number that Oracle put in its Q4 press release, that is pretty darn impressive, their multi-cloud AI database business, they said, was up 404% and they said that now makes this the fastest growing product in the company's history.

02:11 — Looking ahead a little bit, Oracle guided in Q1, they said their cloud business will grow between 57 and 63% so caught about 60% and that extends a long running streak of fast growing numbers there for Oracle's cloud revenue or cloud business.

02:33 — Oracle also said in its Q4 press release that it will be doing no more borrowing to fund its data center expansion throughout for calendar 2026, certainly possible for next year, but for this calendar year, no more borrowing. I think most people would yawn or overlook that fact. There have been a lot of folks on Wall Street, though as I've mentioned, that this has caused them fainting spells and pearl clutching, because they, nobody's done this before.

03:44 — Now, I don't know, I don't think there's a lot of companies that have run into that challenge before. It's a delightful challenge to have, but it is not something that you know a lot of companies can just, you know, reach into the petty cash box and say, you know, here's $100 billion $200 billion dollars to fund it.

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In today's Cloud Wars Minute, I analyze how Sana is helping Workday transform from a system of record into a system of action.

Highlights

0:00 — Workday has announced two new agents: Sana for IT Service Management, or ITSM, and Sana Travel Agent. To recap, Workday acquired Sana at the end of 2025, and since then, the technology has evolved into Workday's employee AI layer, what the company describes as its "front door for work."

0:42 — Sana for ITSM automates workflows for tasks like employee onboarding, off-boarding, access changes, and standard IT requests, while the Sana Travel Agent helps employees plan work trips, book travel, and manage expenses. Both agents are built directly on Workday, meaning they have the same security and governance protocols by default, and tap into the bespoke contextual company data and policy information contained within the platform.

00:57 — Cloud Wars founder Bob Evans commented on the development in the official Workday press release: "Extending agents into adjacent workflows like onboarding, travel, and expenses, where Workday already has the people and finance data and policies, is not only practical but also a transformational way to help HR and finance leaders meet and exceed their objectives."

01:25 — Workday's acquisition of Sana was a pivotal moment in the company's recent history and accelerated its push in the enterprise AI era. The deal signaled a strategic evolution beyond Workday's traditional role as a system of record for HR and finance processes.

01:44 — At the same time, that deep system of record foundation is exactly what makes Sana's autonomous AI agents such a strong fit, because the agents can operate with rich context, permissions, policy, and workflow data already embedded within the platform.

 

 

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In today's Cloud Wars Minute, I analyze how a trillion dollars in cloud backlog is driving innovation beyond technology and into corporate finance.

Highlights

00:03 — In the Cloud Wars, all sorts of crazy things are going on with the technology, what customers are doing with it, but also in how this whole remarkable time is being funded. I want to talk a little bit today about how Google Cloud and Oracle are choosing to fund this unprecedented market demand and why new possibilities require new ways of doing things.

01:25 — In Oracle's most recent quarter, it reported that its RPO, or Remaining Performance Obligation, similar to backlog, is over $550 billion. For Google Cloud, it had an amazing jump as well in its most recent quarter, ended March 31, $462 billion in backlog, almost double what it had been a year before that. So there's amazing demand, these two companies totaling a trillion dollars.

02:09 — Six months ago, Oracle reached out and said, “No, no, we're going to go to some outside funding, some borrowing, to do that.” But the market reacted with a panic. “Oh my God, nobody's ever done this.” And, you know, "What if they can't pay it back?” So there was a lot of skepticism about Oracle's plan six months ago.

02:58 — Now, a week ago, we see Alphabet step up and say, “Hey, we're going to do some equity financing. We're going to take $10 billion from Warren Buffett and some other places. We need this money. We think it's the best way to pursue funding our own data center expansions, our own CapEx needs, which will be somewhere between $185 and $190 billion.” Oracle's will probably be around $75 billion.

04:37 — Oracle and Google Cloud have risen to the top of the Cloud Wars Top 10 because they brought innovation at levels in technology and go-to-market, how they think about customers, deployment models, and so forth, that have really set the new standard for what's happening in the AI cloud business now. Seeking outside funding to meet this demand shows another way to do it.

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