What to expect during Oracle AI World: Join theCUBE Oct. 28
SiliconANGLE Mark Albertson ● Covered by 3 sources
Oracle’s AI World kicks off Oct. 28, with theCUBE on site in Las Vegas. The focus: turning database cleanup into something AI teams can actually use in production.
Based on reporting by SiliconANGLE, Mark Albertson — read the original for the full story.
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Oracle is using its AI World stage in Las Vegas later this month to make a familiar enterprise pitch sound much bigger: database modernization is not just about trimming costs anymore. The company wants customers to see it as a prerequisite for repeatable AI in production, not just a cleaner IT stack. That’s the frame theCUBE Research is bringing to its Oct. 28 coverage, and it matches the direction Oracle has been pushing all year.
The trust story sits near the center of that pitch. Juan Loaiza, who leads mission-critical database technologies at Oracle, said the company is not betting on a thin layer of guardrails slapped on top of old systems. His point is that AI, data and application development have to be designed as one system if enterprises want results they can trust. That matters because autonomous agents are no longer just generating text; they are taking actions.
Oracle is also pointing to security work that starts at the data layer and stretches upward into the app layer. Arpan Shah said the company wants to help customers move from AI prototypes to trusted AI apps at scale, while dealing with the cyber risk that comes with wider AI use. The broader message is simple enough: optimism about AI is easy, but enterprise buyers still have to worry about what happens when those systems meet sensitive data.
A second thread is the company’s data platform push. Autonomous AI Lakehouse, which combines Autonomous Database with Apache Iceberg, is being positioned as an interoperable foundation for analytics across major clouds. Nipun Agarwal said the lakehouse is shifting from an analytics platform to a “decision backbone” for enterprise AI. Oracle’s Autonomous AI Database is part of that same argument, with automated management for tuning, patching and security, plus multicloud support across OCI and Oracle-managed services in AWS, Azure and Google Cloud.
There are also newer platform features getting airtime. APEXlang gives coding agents a structured target while Oracle handles runtime, security and lifecycle management. And Exadata VM Live Migration, announced in June, is meant to let a live Oracle Database move between hosts without dropping RDMA connections. Jia Shi called that a solved technical challenge. On Oct. 28, theCUBE will be there asking whether all of this adds up to a real AI operating model, or just a better brochure.
My take — AI-written commentary, not fact-checked reporting
Oracle is doing what big database vendors always do when AI arrives: turning infrastructure work into a moral crusade about trust. Fine. Enterprises do need boring, sturdy systems before they hand agents the keys, and anyone promising magic without governance is selling fairy dust with a GPU budget.
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