Cloud Wars Live with Bob Evans

At Oracle AI World in Las Vegas, Cloud Wars Live host Bob Evans sits down with Mark Hura, President of Global Field Operations at Oracle, to explore how enterprise AI is reshaping customer expectations and accelerating business transformation. Hura discusses the growing demand for measurable AI outcomes, stronger data security, and faster implementation timelines, along with Oracle's strategy for simplifying technical complexity.
Oracle's Enterprise AI Advantage
The Big Themes
Customers Demand Real AI Outcomes: At Oracle AI World, Hura identified three major priorities shaping enterprise technology decisions: accelerating AI adoption, strengthening security, and eliminating decades of accumulated technical complexity. Organizations are no longer satisfied with AI experimentation or innovation for its own sake. They want technology that delivers measurable business value while protecting sensitive data and supporting critical operations. Oracle sees an opportunity to address these needs through its integrated portfolio of infrastructure, databases, applications, and industry-specific solutions.
Enterprise Data Provides Competitive Advantage: Data represents more than information stored in databases; it captures an organization's intellectual property, operational knowledge, and competitive differentiation. Oracle's AI Data Platform is intended to help customers understand the business context surrounding their information, including the industry-specific relationships and processes that make data meaningful. Hura described this context through the concept of ontology, which enables organizations to connect information with the way their businesses actually operate.
Flexible Models Strengthen Strategic Partnerships: As AI accelerates innovation, Hura believes enterprise technology providers must become more flexible in how they engage customers. Organizations may need to change project schedules, introduce new capabilities, or shift investment priorities as technology evolves. Oracle is responding by adjusting its commercial models to support more flexible consumption across its portfolio. This approach is intended to accommodate customers whose needs span infrastructure, applications, industry solutions, and AI services.
The Big Quote: "The common themes that we're hearing are very similar in many places, it's one is we need to accelerate AI adoption, but we need to have it actually deliver real value and work in our businesses."
More from Mark Hura and Oracle:
Follow Mark Hura on LinkedIn or learn more about Oracle Artifical Intelligence, Oracle Fusion Cloud Applications, and Oracle Database.

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In today's Cloud Wars Minute, I discuss how Salesforce is moving beyond AI agent orchestration toward continuous monitoring, automated intervention, and stronger operational safeguards.
Highlights
00:03 — Salesforce has expanded its Agent Fabric, the company's agent control plane, to, and I'll quote Salesforce here, "automatically stop runaway costs and AI agent failures before they impact customers." This is being achieved through three different areas: agent evals, API evals, and advanced cost controls.
00:27 — These are automated interventions that really stop these issues before they have an impact. So, let's run through these innovations, starting with agent evals. Now, this feature automatically generates tests before deployment and then evaluates agents, LLMs, and MCP servers against recognized thresholds. If there's an anomaly, a predefined intervention is triggered, including, if required, Salesforce's agent kill switch.
00:58 — And next, we have API evals. Now, these automatically generate functional and performance tests from API specifications to spot any API changes before they reach production. Finally, new advanced cost controls: the FinOps dashboard and model wallet give users a single view of AI spending and hard limits that automatically stop requests before budgets are exceeded.
01:24 — Also, according to Salesforce, new cost optimization policies have cut token usage by up to 75%. So, what we're seeing here is Salesforce moving beyond AI agent orchestration — that's really the fundamental value of the Agent Fabric platform — and towards this idea of continuous monitoring, evaluation, governance, and automated intervention when needed.
01:52 — As agentic AI becomes more widespread, this continuous observation and intervention is becoming more important than ever, and Salesforce has certainly stepped up the game here with these innovations in what was already a very sophisticated agentic AI control plane platform.

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In this special episode of Cloud Wars Live from Oracle AI World in Las Vegas, Bob Evans speaks with Mahesh Thiagarajan, President of Oracle Cloud Infrastructure (OCI), about the extraordinary demand reshaping the cloud and AI landscape. With OCI capacity sold out for 2027 and 2028, Thiagarajan explains how Oracle is accelerating infrastructure deployment, leveraging AI to improve internal operations, and developing innovative power strategies to support growing compute requirements.
Inside Oracle's Cloud Expansion
The Big Themes
Oracle's Cloud Demand Accelerates: Oracle Cloud Infrastructure is experiencing extraordinary demand as enterprises accelerate their adoption of AI and cloud technologies. Thiagarajan reveals that OCI's capacity for 2027 and 2028 is already sold out, illustrating the scale of customer commitments and the challenges associated with bringing new infrastructure online. He attributes Oracle's competitive success to several foundational advantages: its longstanding stewardship of mission-critical enterprise data, strong price-performance economics, infrastructure flexibility, and deeply embedded security capabilities. These differentiators make OCI attractive to organizations seeking reliable environments for their most important applications and AI initiatives.
Internal Innovations Become Enterprise Products: Oracle's approach to product development increasingly draws on technologies created to address its own operational challenges. Thiagarajan describes how internal supply chain optimization work helped inform capabilities incorporated into Oracle Fusion applications. Similarly, developers building new applications exposed the need for better tools to maintain, secure, operate, and publish software at scale. That experience contributed to App Composer. OCI's work protecting its own cloud infrastructure also helped shape its security mesh capabilities.
Responsible Development Strengthens Local Communities: Oracle's AI infrastructure expansion is creating responsibilities that extend beyond technology and into the communities hosting its data centers. Thiagarajan describes responsible development as an essential part of the company's strategy, emphasizing environmental considerations, community engagement, and local workforce opportunities. Oracle is pursuing closed-loop liquid cooling systems and adapting power technologies to address concerns about emissions. The company is also investing in workforce training to help residents participate in the emerging AI infrastructure economy.
Big Quote: "I think the next phase of AI is going to be around faster access to compute and the companies that can actually deliver the most optimized TCO for realizing those enterprise AI outcomes and their best ideas."
More from Mahesh Thiagarajan and Oracle:
Follow Mahesh Thiagarajan on LinkedIn or learn more about Oracle Cloud Infrastructure and Oracle's Fusion Cloud Applications.

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In today’s Cloud Wars Minute, I break down the nearly $2.5 trillion in combined backlog reported by the four hyperscalers and explain why I believe the enormous investment in AI infrastructure represents an unprecedented business opportunity — not a sign that the sky is falling.
Highlights
00:02 — With the recent roundup of Q3 numbers from the hyperscalers, and one just before that from Oracle, the hyperscaler backlog now, if we total that all up, adds up to almost $2.5 trillion. And, in an exclusive interview I had with Chicken Little, Chicken Little has recanted its prediction that the sky is falling.
00:35 — I think that we are on the verge of perhaps the greatest industrial revolution, business revolution, and all that the world has ever seen. But, this hand-wringing and negativism and concern about how this early-stage, very, very expensive buildout is going to cripple these extraordinary companies, I think is kind of nuts. And I have some numbers that I think will at least point the way, if not definitively prove, that that will absolutely be the outcome.
01:32 — Microsoft has already got a backlog or RPO of $667 billion, and their projected CapEx spending for the whole year is $170 billion. For Amazon, $578 billion. That's just AWS's reported backlog. For the whole company at Amazon, they are projecting CapEx of $220 billion. But, Andy Jassy said that that is overwhelmingly for AWS and the data center buildout.
02:09 — Google's got a backlog of $561 billion. Parent company Alphabet is projecting about $200 billion in CapEx this year. Again, the overwhelming majority of that going toward Google Cloud. And then Oracle. They've got an enormous backlog, $664 billion. They're expecting to spend about $90 billion on CapEx this year.
03:22 — Now, I know this [CapEx] is a recurring expense, and probably, these numbers will be going up in 2027, but so will this number [RPO] which is much bigger. So, over time, as the backlog and RPO gets bigger, they'll also start to convert some of this backlog or RPO to revenue, and we'll see the growth play out in a formal way on the revenue numbers.
05:11 — The leaders of all of these companies are very bullish, and I think it's time now for [the] Chicken Little example. He's recanted, or it has recanted — Chicken Little — and I think more of us need to start thinking about the positive outcomes of this rather than all the hand-wringing about whether the sky is falling or not. I don't think it is.

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In today's Cloud Wars and AI Agent Minute, I discuss why Microsoft's latest financing move represents a powerful vote of confidence not just in the company, but in the entire AI industry.
Highlights
00:10 — Microsoft has announced plans to raise $25 billion in debt to keep pace with its ambitious AI infrastructure build-out. The market reaction was incredibly positive, with demand exceptionally strong.
00:25 — Reported orders reached around $115 billion, making the bond offering more than 4.5 times oversubscribed. As I'm recording this, the deals are still in the process of being finalized. However, as of the fourth of November, the bonds are expected to settle.
00:53 — While this funding isn't specifically earmarked for AI infrastructure and is instead for general corporate purposes, the timing certainly ties in with Microsoft's broader AI infrastructure ambitions. This is a massive endorsement of Microsoft, particularly given that level of oversubscription. But it's also a significant endorsement of the AI industry as a whole.
01:19 — Yes, there are doubts, and valid ones, about the long-term sustainability of the AI boom. However, if we look at the hard facts here, investor demand really demonstrates the level of confidence in this market. And there's another simple but important point: to unlock the true value of AI, you need the infrastructure to develop, deploy, and scale it.

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