IDUG AU 2025

IBM Db2 has introduced several AI features in recent years. These features fall into two categories: AI for database and database for AI. In the first category, Db2 has AI models in the database to optimize database operations. A key example is the AI query optimizer GA’d in v12. In the second category, Db2 has integrated machine learning algorithms into the database for users' AI use cases. It provides over 200 in-database AI stored procedures that allow users to develop and run ML pipelines within the database. Db2 also supports Python and R UDFs, enabling users to use their external Python and R models from Db2. These AI features improve database operations and simplify enterprise AI workflows. This session will explore Db2’s AI features from both categories and show how you can use them in developing modern data-driven applications and enterprise workloads.