Oracle Launches AI Factory and Expands Database@AWS to Help Enterprises Turn AI Ambitions Into Real Results

Oracle is closing the gap between AI plans and real execution. At Oracle AI World, the company introduced Oracle AI Factory, a program built to help customers and partners move faster from experimenting with AI to actually using it in their business. At the same time, Oracle expanded Oracle Database@AWS with new capabilities that make it easier to run and protect mission-critical workloads while getting ready for AI-driven use cases.

Both announcements point to the same goal: giving organizations the structure, tools, and flexibility to make AI useful, not just aspirational.

From AI Vision to Real-World Impact

The AI Factory helps customers define success, pick the right use cases, and scale AI responsibly. It combines training, playbooks, and guided implementation through Oracle’s own teams and partners.

Customers can use tools like Oracle AI Agent Studio to build custom agents, unify data through the Oracle AI Data Platform, and add intelligence directly into Fusion Cloud Applications. Early adopters such as Marriott and Grupo Bimbo are already using this approach to simplify workflows, improve decisions, and get faster results.

The idea is to make AI practical, something that delivers measurable impact, not just another pilot that stalls out. The AI Factory brings structure to what’s often an unstructured process. It includes:

AI Education and Training to build internal skills.
Playbooks and Runbooks to turn strategy into action.
Cloud Success Navigator to plan and track progress.
Customer Excellence Centers for testing AI safely on real data.
AI Acceleration Services with pre-built agents for faster deployment.
Customer Success Managers to guide teams through adoption and governance.

It’s a practical way for organizations to move from concept to production without losing control or visibility along the way.

Expanding Oracle Database@AWS for the AI Era

Oracle is also adding more intelligence and resilience to Database@AWS, giving enterprises new ways to manage critical data across clouds. The updates include:

Zero Data Loss Autonomous Recovery Service, which protects transactions in real time and enables recovery to within less than a second of an outage or attack.
Autonomous AI Lakehouse, built on Apache Iceberg, to unify structured and unstructured data for analytics and AI - no complex ETL required.
Terraform support, letting DevOps teams manage Oracle Database@AWS using familiar infrastructure-as-code tools.

Together, these additions help organizations modernize their data layer while preparing for new AI workloads that rely on fast, reliable, and accessible data.

Partners at the Center

Both the AI Factory and Database@AWS updates are now available through Oracle and AWS channel partners. Through the AWS Channel Partner Private Offers (CPPO) program, partners can offer flexible pricing, bundle services, and manage billing directly.

This approach gives customers more choice in how they buy and implement Oracle solutions while allowing partners to build repeatable services around Oracle’s AI and database tools.

Oracle’s latest moves make its broader strategy clear: simplify how enterprises adopt AI and modernize their data environments. The AI Factory helps customers and partners turn ideas into production outcomes. The Database@AWS enhancements give them a secure, high-performance foundation to run those workloads.