IDUG Singapore 2026

Every enterprise, with Db2 for z/OS as core database, has data and application modernization plans in the context of Db2 for z/OS and Z data sources. Topics like hybrid cloud, data fabric, data lakehouse are all bringing different architecture and product level solutions to address rapidly changing business challenges.  This is a Keynote Style presentation that address the following  Data Modernization Challenges – Past, Present, Future  IBM Z Data and AI Enterprise Architecture Architectural alternatives to provide Z data into the cloud worldCore Products, Virtualization, Data Integration and AI Replicate, Direct Access, Virtualization – Pros & Cons. Technical and Business Use Cases with Product Capabilities Roadmaps and Future.

Gain hands-on experience with IBM Db2 AI for z/OS, a powerful new offering built on IBM Watson Machine Learning for z/OS. Learn how Db2 AI can:

1. Optimize SQL statements
2. Provide Db2 system assessments with expert guidance for tuning your subsystem
3. Utilize the Distributed Connection Controller to analyze remote workload traffic and generate Db2 profiles for monitoring and controlling remote connection access based on location, user ID, and application name
4. Monitor system performance using a new performance insight visualization dashboard. 

This lab uses real-world data and realistic Db2 workloads to demonstrate how each capability works in practice, with step-by-step explanations of the underlying functions and how to interpret the results. Attendees will gain a clear understanding of how Db2 AI delivers actionable insights directly within the Db2 for z/OS environment. Join this lab to deepen your technical knowledge, explore the latest AI-driven Db2 innovations, and learn how to apply these capabilities to optimize and manage your own Db2 systems.

Please bring your own laptop for this lab and have your IBM ID ready to be used.

Gain hands-on experience with IBM Db2 AI for z/OS, a powerful new offering built on IBM Watson Machine Learning for z/OS. Learn how Db2 AI can:

1. Optimize SQL statements
2. Provide Db2 system assessments with expert guidance for tuning your subsystem
3. Utilize the Distributed Connection Controller to analyze remote workload traffic and generate Db2 profiles for monitoring and controlling remote connection access based on location, user ID, and application name
4. Monitor system performance using a new performance insight visualization dashboard. 

This lab uses real-world data and realistic Db2 workloads to demonstrate how each capability works in practice, with step-by-step explanations of the underlying functions and how to interpret the results. Attendees will gain a clear understanding of how Db2 AI delivers actionable insights directly within the Db2 for z/OS environment. Join this lab to deepen your technical knowledge, explore the latest AI-driven Db2 innovations, and learn how to apply these capabilities to optimize and manage your own Db2 systems.

Please bring your own laptop for this lab and have your IBM ID ready to be used.

This session will highlight key enhancements in the SQL syntax, semantic and in the application management area in Db2 13 for z/OS. These functionalities were delivered in the recent function levels and are responses to customer requirements to improve application capability and performance as well as enable the DBA to effectively manage applications and database objects.

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.