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Thursday April 2, 2026 3:20pm - 5:30pm GMT+08
See how IBM SQL Data Insights Pro combines unsupervised deep learning with traditional SQL queries, enabling you to run similarity, dissimilarity, clustering, and analogy queries on your Db2 data. Easily uncover hidden relationships across tables and views, quickly gain actionable insights to address business challenges as they arise, and confidently make better business decisions. In this lab, we examine a Mutual Fund table containing detailed numerical and categorical information, including historical financial metrics. Using AI-powered SQL queries, you will identify which mutual funds are most similar or dissimilar, helping to generate meaningful recommendations. AI queries will answer questions such as: “Which mutual funds are most similar to or most dissimilar from mutual fund ABC?” and “Which mutual funds are the most or least common in the table?” This lab also includes the latest enhancements that provide support for unstructured data stored in character columns. With this new capability, a single semantic model can capture valuable information from both structured relational fields and free-text fields. Join this lab to get hands-on experience with AI-powered SQL capabilities and discover how SQL Data Insights Pro can transform the way you analyze data.  

Please bring your own laptop for this hands-on lab and have your IBM ID ready.
Speakers
JL

Jae Lee

Senior Software Engineer, 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.
Thursday April 2, 2026 3:20pm - 5:30pm GMT+08
Auditorium

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