AI is no longer just an application‑layer concern—it is becoming a core capability of the database engine itself. In this session, we explore how Db2 integrates AI across performance, analytics, and operations to support both modern applications and enterprise‑grade reliability.
We will examine the AI‑based query optimizer that enhances traditional cost‑based optimization with machine learning to deliver significant performance gains for analytical and join‑intensive workloads. The session also introduces Db2’s native vector data type and similarity search capabilities, enabling real‑time AI use cases such as semantic search, fraud detection, and Retrieval‑Augmented Generation (RAG) directly inside the database.
Finally, we connect these capabilities to Db2’s autonomous operational framework, showing how AI agents leverage live system telemetry and institutional knowledge to automate tuning, troubleshooting, and maintenance across hybrid cloud deployments. Attendees will leave with a clear understanding of how AI inside Db2 is reshaping both application architectures and database operations.
Martin Oberhofer
Vice President, Data Core Products
IBM