Loading…
Thursday June 12, 2025 1:00pm - 4:30pm EDT
See how IBM SQL Data Insights combines unsupervised deep learning with traditional SQL queries to allow you to run similarity, dis–similarity, cluster, analogy, and commonality queries on your Db2 z/OS data. You can easily uncover the hidden relationships across tables and views in your Db2 data, quickly gain actionable insights for solving your business problems as they arise, and confidently arrive at better business decisions. We will explore tables containing mutual funds financial data, home insurance underwriting data, and food nutrition data. You will experience how AI SQL queries can be applied to industry specific domains to find similarities, segment customers, and find outliers among relational data.
Make sure to bring your own device, and pre–create an IBM ID!
Speakers
avatar for Artem Minin

Artem Minin

Techincal Specialist, IBM
Artem is currently a Technical Specialist in IBM’s Washington Systems Center, a team of Subject Matter Experts that provide leading edge technical sales assistance for the design, implementation, and support of solutions that leverage IBM Z. Specifically, Artem is responsible for... Read More →
avatar for John Goodyear

John Goodyear

z Systems Technical Support Specialist, IBM
John Goodyear is a z Systems Technical Support specialist at the Washington Systems Center. John has a broad background in application development, systems management, and benchmarking. For the past 6 years, John has been focusing on Open Data Analytics, WMLz for z/OS, Db2 AI for... Read More →
Thursday June 12, 2025 1:00pm - 4:30pm EDT
Spring
  Hands–On Lab

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Share Modal

Share this link via

Or copy link