SQL Data Insights (SQL DI) in Db2 13 for z/OS brings built‑in AI directly into the database, enabling organizations to discover patterns, detect anomalies, and generate insights using familiar SQL—without moving data or building complex pipelines. This session provides practical guidance on getting started with SQL DI, beginning with Db2 instrumentation data as a high‑value entry point. It will also demonstrate how to extend insights by ingesting VSAM data through Data Virtualization Manager. In addition, the session highlights recent SQL DI enhancements, including a unified embedding model, SQL-based AI access, and incremental training capabilities—enabling teams to seamlessly embed AI into existing Db2 workflows. The session concludes with an overview of Industry Starter Kits, featuring prebuilt datasets, vector tables, and AI queries that accelerate adoption and help organizations quickly realize high‑value use cases.
Akiko Hoshikawa is a Distinguished Engineer at IBM’s Silicon Valley Laboratory, specializing in performance, AI-driven optimization and advanced data technologies. She leads initiatives that integrate artificial intelligence with Db2 for z/OS. Akiko’s work focuses on simplifying... Read More →
Jae Lee is a Senior Software Engineer at the IBM Silicon Valley Lab, specializing in the development of Db2 AI for z/OS, SQL Data Insights, and the Db2 RDS component.
Program Director, IBM Db2 for z/OS Development and Product Management, IBM
Catherine (Yan) Wu is the Program Director for Db2 for z/OS at IBM’s Silicon Valley Lab, leading Db2 for z/OS development and product management. A skilled engineering leader, her expertise spans database management, data governance, machine learning, and enterprise design thinking... Read More →
Wednesday October 28, 2026 2:00pm - 3:00pm EDT Magnificent 3
