Enterprises are moving rapidly from conversational AI toward autonomous, agentic systems capable of reasoning, planning, and executing complex business processes. Yet as AI ambitions grow, many organizations are discovering that legacy data architectures cannot support the performance, context, security, and governance required for production-scale agentic AI.

Fragmented application-tier AI stacks introduce latency, integration complexity, higher token costs, and increased risk of hallucinations. To move beyond pilots and achieve measurable value, enterprises need a data foundation that brings AI closer to where trusted business data already lives.

In our latest report, The No-Compromise AI Foundation: Oracle Reimagines the Database for the Agentic Era, completed in partnership with Oracle, Futurum Research explores why agentic AI requires a new architectural approach and how Oracle AI Database 26ai, Oracle Autonomous AI Database, and Oracle Autonomous AI Lakehouse are designed to support secure, data-resident reasoning, persistent agent memory, and open table portability.

In this report, you will learn:

• Why fragmented, application-tier AI architectures can limit enterprise AI outcomes
• How data-resident reasoning and persistent agent memory can improve agentic AI performance
• Why multi-model fluency, open table formats, and native security are becoming critical AI foundation requirements
• How Oracle is positioning the database as a control point for enterprise-grade agentic automation

If you are interested in learning more, be sure to download your copy of The No-Compromise AI Foundation: Oracle Reimagines the Database for the Agentic Era today.