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Thursday October 29, 2026 2:00pm - 3:30pm EDT
In this hands-on lab, you'll explore advanced AI capabilities for relational data, including support for unstructured text, offloaded model training, and incremental model retraining. By combining unsupervised deep learning with traditional SQL queries, you'll learn how to perform similarity, dissimilarity, clustering, analogy, and commonality analysis directly on your Db2 for z/OS data.
Through practical exercises, you'll discover hidden relationships across tables and views, uncover actionable insights from enterprise data, and use AI-powered SQL queries to address real-world business challenges. You'll see how these techniques can be applied across industry-specific use cases to identify similar records, segment customers, detect outliers, and make more informed, data-driven decisions.
Make sure to bring your own device.
Speakers
avatar for Artem Minin

Artem Minin

Technical Specialist, IBM
Artem is currently a Technical Specialist in IBM's WorldwideSystems Center, a team of Subject Matter Experts that provide leadingedge technical sales assistance for the design, implementation, andsupport of solutions that leverage IBM Z. Specifically, Artem is responsible for helping... Read More →
avatar for John Goodyear

John Goodyear

z Systems Technical Support Specialist, IBM

JL

Jae Lee

Db2 for z/OS Development, IBM
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.
Sponsors
Thursday October 29, 2026 2:00pm - 3:30pm EDT
Magnificent 6
  Track E, Hands-On Lab

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