Cloud Wars Live with Bob Evans

• Oracle’s Fusion and NetSuite Customers Gain an AI Advantage | Cloud Wars Live

  In this episode of Cloud Wars Live, Bob Evans speaks with T.K. Anand, Executive Vice President at Oracle, during Oracle AI World in Las Vegas. The discussion centers on Oracle’s new AI Data Platform, a major initiative designed to help customers harness their own data to drive AI transformation. Anand outlines how Oracle’s open, unified approach to managing enterprise data enables organizations to bring AI directly to their business processes, while also citing breakthrough developments in industry-specific applications.Reinventing with AIThe Big Themes:Data + AI = Business Reinvention: Enterprises cannot simply adopt AI as a bolt‑on; they must combine their private business data — workflows, applications, processes — with advanced models if they hope to reinvent themselves ahead of disruption. Anand notes that many AI/LLMs have been trained on public domain data and thus “know nothing about our customers’ private data.” The AI Data Platform is designed to enable that union.Pre‑integrated with SaaS Applications: For customers of Oracle’s large SaaS portfolio (e.g., Fusion, NetSuite, industry apps) the AI Data Platform offers tailored variants that are pre‑integrated with the application’s data models and semantics. This means organizations get out‑of‑the-box predictive models, analytics, and agents aligned to their workflows, but still have the full platform underneath to extend or customize. This helps reduce time‑to‑value for companies using those applications.Full Stack Advantage: Oracle positions its differentiator as owning and integrating the full stack: cloud infrastructure (OCI including autonomous database), data and analytics platform, applications (SaaS) and now AI/agents. This end‑to‑end control enables closer integration between data assets, applications, and AI use cases. For example, having application workflow knowledge baked into the data platform allows faster mapping from business process to predictive agent.The Big Quote: “The AI Platform is all about helping our customers achieve AI transformation through the power of their own data."More from T.K. Anand and Oracle:Connect with T.K. Anand on LinkedIn or get an overview of Oracle AI Data Platform. Visit Cloud Wars for more.

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• Workday Launches Custom AI Model Library for Contract Intelligence

  In today's Cloud Wars Minute, I explore Workday’s latest move to deepen AI’s role in enterprise operations.Highlights00:03 — Workday has announced its new Custom AI Model Library for the Workday Contract Intelligence Agent, powered by Evisort. The library includes over 120 pre-built AI models designed to identify critical clauses, risks, line items, and terms within contracts. The goal is to give users specialized models that speed up contract review, detect risks earlier, and reduce manual work.00:40 — The addition of the Custom AI Model Library expands the range of contract terms users can automatically analyze. Jerry Ting, Vice President and Head of Agentic AI and Evisort at Workday, said: “We aren’t just adding features; we’re giving our Contract Intelligence Agent new skills that help solve real business problems.”01:29 —What stands out about this announcement is how Workday is operationalizing AI within enterprise contract management: moving beyond standard automation toward domain-specific, customizable intelligence. This is a key differentiator, and one every company in the agentic AI space should aim for. Visit Cloud Wars for more.

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• Oracle Launches AI-Native Database 26ai to Power Enterprise AI Foundations | Cloud Wars Live

  Hasan Rizvi, EVP, Database Engineering, Oracle, talks to Bob Evans in this latest episode of Cloud Wars Live. They explore the launch of Oracle AI Database 26ai, the Autonomous AI Lakehouse, and breakthroughs in multi-cloud deployment. Rizvi also discusses vector search, agentic AI, and how Oracle is simplifying complex architectures for the AI era. It’s a compelling look at how Oracle is reshaping enterprise data strategy for the age of AI.Oracle’s Next-Gen Data StrategyThe Big Themes:AI Demands a Modern Data Foundation: As AI shifts operations from human scale to machine speed, enterprises must ask: “Is my data foundation ready?” Without intelligent data structures, comprehensive access, real‑time performance, and strong security, organizations will struggle to compete. The introduction of Oracle AI Database 26ai is positioned as that foundation. The urgency of this shift is clear: companies that delay risk being left behind.Agentic AI and Vectors Come to the Enterprise Database: Generative AI and autonomous agents require new data types and workflows. Oracle has built vector data types and vector indexes into the database so enterprises can perform similarity search, retrieval‑augmented generation (RAG) and agent workflows directly on their private data. Further, Oracle is enabling annotations (metadata) so LLMs can understand enterprise data schemas, improving accuracy. Finally, agentic workflows (AI that takes action) are supported within the database, reducing data movement, improving performance and strengthening security.Start‑Ups and Established Enterprises Both Benefit: The case study of Retraced (a fashion supply‑chain company) underscores how smaller, agile firms are using Oracle’s autonomous AI database to innovate quickly: multi‑datatype support, agentic AI, automatic scaling, and reduced operational overhead. At the same time, Oracle’s heritage in mission‑critical enterprise systems means large companies with massive workloads benefit from the same platform. The point: whether you’re a start‑up or a Fortune 500, the difference will be how fast you move.The Big Quote: “We really believe that in in the age of AI, where you have to move much faster, you really don't have a choice but to start simplifying your environment. Otherwise, you're going to get left behind."More from Hasan Rizvi and Oracle:Connect with Hasan on LinkedIn and learn more about Oracle AI Database 26ai. Visit Cloud Wars for more.

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• Palantir Q3 Blowout: Extraordinary Numbers and CEO Perspectives

  In today's Cloud Wars Minute, I spotlight Palantir’s stunning 63% revenue surge and its defiant, rule-breaking vision for the AI Era.Highlights00:30 — Palantir, earlier this week, reported its Q3 numbers, and they were absolutely extraordinary. I thought the only thing that matched the blowout numbers that Palantir had was the perspective and philosophy revealed in the Q3 earnings call from CEO Alexander Karp. I want to talk about that in just a minute.01:23 —You hear talk around the industry, people saying, “Well, what is Palantir? Are they an apps company? Are they an analytics company? Are they a data company? Are they an AI company? Are they a database company? Are they, you know, this or that?” Palantir absolutely defies any easy positioning or being put in a particular box or category. It is all of those things.02:26 — Its revenue for Q3, ending September 30, was up 63% — almost $1.2 billion. It had projected growth for Q3 of about 51% and blew that number away. Within that, its U.S. commercial business is now by far the fastest-growing part of its company. Remarkable growth there of 121% in Q3 to almost $400 million. The U.S. government business was up 52% to $486 million.03:42 — Palantir signed new deals totaling $2.8 billion in contract value. That new business alone is an indication that this is not a blip. Some people talk about an AI bubble. Karp said, “The bubble exists only for companies that are not really trying to impart enduring value.” Of that $2.8 billion, there were 93 deals signed in the quarter for $5 million or more, and 51 deals for $10 million or more.04:14 — A big point that Karp made is that as the company gains more visibility, it’s important that: “We are always at the toughest and most complex part of our customers’ technology stacks, because with AI, that’s the only way we can impart real value for those customers and unlock for them the ability to become truly transformed companies in the AI revolution.” He speaks like no other CEO I’ve been around. Visit Cloud Wars for more.

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• Mahesh Thiagarajan on Oracle Cloud Strategy and Innovation | Cloud Wars Live

  In today's Cloud Wars Live, Mahesh Thiagarajan, EVP, Oracle Cloud Infrastructure, speaks with Bob Evans about Oracle’s bold strategy to lead in the AI infrastructure race. He details how Oracle is scaling zeta-level compute, launching a 1.5 gigawatt GPU campus, and engineering full-stack solutions that combine bare-metal hardware, custom networking, and advanced software. With OCI’s rapid innovation and massive scale, Oracle is positioning itself as a serious challenger to cloud incumbents like AWS, Microsoft, and Google Cloud.Scaling AI at OracleThe Big Themes:Enterprise Data Continuity and Cloud Strategy: Enterprises rely on mission-critical data, such as databases, and migrating that data to the cloud remains a major strategic priority. The challenge isn’t simply moving data: It’s building a cloud platform that delivers real value to customers. As Thiagarajan and his team began developing Oracle Cloud Infrastructure to support these needs, they focused on core fundamentals: performance, cost efficiency, and security. This illustrates that for today’s cloud providers, success isn’t just about innovative features, but about engineering deep, resilient infrastructure.Customer‑First Execution: Thiagarajan repeatedly states there is no perfect playbook. The approach: wake up every day, talk to partners, figure out what customers need and execute. This mindset emphasises responsiveness and pragmatism. Given the rapid pace of change in cloud and AI, large providers cannot wait for general frameworks to emerge. They must iterate, partner, and build in real time.“Late” As An Advantage: Thiagarajan observes that arriving in cloud later gave Oracle the ability to learn from first movers’ mistakes and benefit from newer hardware generations without legacy baggage. While first movers often carry large legacy systems, later entrants can design for new architectures (bare‑metal, custom networking) from the ground up. That doesn’t guarantee success but presents an advantage if leveraged.The Big Quote: “You earn trust with [partners] by getting their products out to market fast into the hands of the customers, because that really translates to them, the end customer, being happy."More from Mahesh Thiagarajan and Oracle:Connect with Mahesh Thiagarajan on LinkedIn or take a look at his Oracle blog posts. Visit Cloud Wars for more.

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