IDUG NA 2026

IBM Bob makes a huge difference to understanding, modernising and administering systems developed with Db2 (both LUW and z/OS) as the underlying database. I will talk about my real-world experiences bringing IBM Bob into my workflow and the benefits it made in terms of efficiency and quality of the outcomes. I will also explain why I turned from an AI sceptic to enthusiast once I got hold of the right tools.
After struggling to get value out of other AI assistants when modernising and administering Db2 applications (both LUW and z/OS), I turned to IBM Bob when it became available. Having become an "AI assistant cynic" I quickly became a real enthusiast. IBM Bob understands the technology I am working with and provides real value, but in a way that leaves me always in control. This presentation describes my journey from initial experimentation to real world business value. I'll describe how IBM Bob facilitated system understanding, assisted with structural change and application modernisation.

In this session, we'll go back to basics and look at SQL-PL, Db2's built in server-side application logic. We'll take a look at the code constructs and how to leverage in stored procedures, user defined functions and triggers. We'll also look at more complex scenarios like code for a Data Partitioning Feature (DPF) environment. The majority of this session will be looking at and executing source code.

Discover how Db2’s new DiskANN‑powered vector index delivers fast, scalable similarity search while integrating seamlessly into existing database workflows. We’ll walk through expected performance gains using AWS benchmark results and share practical tuning strategies to help you get the most out of vector search in Db2.

The future of enterprise innovation depends on unlocking the full potential of your mainframe data. Today, critical business data is siloed across Db2, IMS, VSAM, and other legacy sources slowing progress and consuming up to 80% of analysts’ time in preparation instead of insight. Traditional ETL and data warehouses can’t keep pace with the demands of real-time analytics, AI, and cloud-native applications.
This session explores how a unified data virtualization layer connects your mainframe data to the digital ecosystem—securely, instantly, and without costly replication. Imagine real-time access to all your enterprise data through RESTful APIs, JDBC, ODBC, and SQL—fueling advanced analytics, machine learning, and next-gen applications.
Join us to explore how your organization can move beyond silos and embrace a future of agility, speed, and innovation. The next era of data-driven transformation starts now—are you ready?

In this session we will show you how application building with a serverless database gives you superpowers. Serverless databases are built for the AI Era handling the workloads of the future and turning you into a 10X Engineer. We will show you how to develop applications for Db2 from prompt to production and demonstrate how a serverless database tackles AI and Machine driven workloads all while reducing cost and effort. Join us for this groundbreaking session and experience the future of Db2 SaaS services!

The role of the DBA has evolved over the years. As businesses across the globe embrace digital transformation, and customer expectations increase, the traditional rules of engagement must be reconsidered, and the DBA remains a key lynch-pin in the Agile journey to DevOps. This presentation will review the old rules of engagement, and express the importance of communication, trust, embracing change, and automation tools in modern software development in the age of AI.