T.K. Anand, Oracle's Executive Vice President for data and AI initiatives, discusses the transformative potential of Oracle’s AI Data Platform at Oracle AI World. He explains how businesses can leverage their private data to fully integrate AI into existing workflows, emphasizing that AI isn't just an add-on. Anand highlights pre-integrated variants tailored for Fusion and NetSuite customers, and delves into industry-specific applications, particularly in healthcare, showcasing innovations that enhance patient care and operational efficiency.
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Private Data Is Key To AI Transformation
Oracle's AI Data Platform aims to combine customers' private business data with large models to enable AI transformation.
T.K. Anand says models trained on public data "know nothing" about private workflows, so data union is essential.
volunteer_activism ADVICE
Keep Data Open And Accessible
Use an open data lake house and unified catalog so data stays accessible without vendor lock‑in.
Oracle supports moving, streaming, or leaving data in place and exposing it via metadata for AI and analytics.
insights INSIGHT
Preintegrated Apps Speed AI Deployments
Oracle will deliver tailored AI Data Platform variants pre‑integrated with Fusion, NetSuite and industry apps.
Prebuilt predictive models and agents shorten time‑to‑value while allowing full customization on OCI.
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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 AI
The 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."
Cloud Wars Live with Bob Evans 