IDUG EMEA 2026

AI is creating new possibilities across every industry, but the enterprises that turn AI into real business value will have one major advantage: trusted access to the data that runs their business. For many of the world’s largest organizations, that data already lives in Db2, powering their most critical transactions across IBM Z and distributed environments. The opportunity isn’t to build yet another copy of that data somewhere else. It’s to unlock the value of the data you already have by bringing AI and analytics closer to where the data lives, reducing cost and complexity while accelerating access to insight.

Join IBM General Manager Priya Srinivasan and Distinguished Engineer & CTO IBM zData and AI Haakon Roberts as they share IBM’s vision for the future of Db2 and Data Integration. They’ll explore how Db2 for z/OS, Db2 LUW, and IBM Data Integration are evolving to help enterprises put their most valuable data to work across AI and analytics, from AI-powered database capabilities to real-time integration, streaming, and accelerated analytics. Learn how these capabilities can help you move faster, simplify your data architecture, and turn the data that powers your business into a competitive advantage.

As enterprise architectures rapidly evolve, the database can no longer just be a passive repository for structured data—it must be an active, intelligent, and hyper-secure platform. Join us for an inside look at how the IBM Db2  engineering and product teams are fundamentally rebuilding the engine to tackle the defining technology shifts of the next decade: the rise of generative AI, the demands of cloud-scale data lakes, and the looming reality of quantum computing risks.

In this forward-looking strategy and deep-dive session, we will explore:

• AI for Developers: How Db2 is removing architectural friction to building the next generation of AI apps and services without ever moving your data.
• AI for Human Productivity: A look into how next-generation AI-driven database management and automated optimization are transforming DBA workflows, slashing operational overhead, and turning complex troubleshooting into autonomous tuning.
• Cloud-Scale Data Ecosystems: How IBM continues to invest in cloud scale to ensure Db2 is omni-present across all hyper scalers.
• Quantum-Safe Cryptography: Why modern security requires acting now to combat "harvest now, decrypt later" threats, and how Db2’s native integration of GSKit 9, FIPS 140-3 compliance, and post-quantum algorithms (ML-KEM) secures data for decades to come.

Whether you are looking to accelerate your organization’s AI adoption, optimize massive hybrid-cloud topologies, or harden your data infrastructure against future cryptographic threats, this session will provide the strategic roadmap and practical technical foundation you need to build what’s next.

Organizations are increasingly adopting real-time processing, event-driven architectures, AI-powered decisioning, and agentic automation. At the same time, many of the world’s most critical business transactions continue to originate on IBM Z. A single business activity—such as a payment, insurance claim, customer interaction, or account update—can generate signals across applications, transactions, data stores, and operational systems. While these signals are valuable, they are often disconnected and difficult to interpret in isolation. The challenge is no longer moving information between systems. The challenge is understanding what is happening in the business, in real time, and acting on it quickly.

IBM Z Data and Application Integration technologies, together with Confluent, address this challenge. Confluent provides the enterprise event backbone. IBM Z integration capabilities provide connectivity to IBM Z applications, transactions, data, and operational systems, enrich and correlate enterprise signals with business context, and simplify adoption through AI-assisted experiences. Together they transform enterprise signals into actionable business events that drive decisions, automation, analytics, and AI.

zDBA, Z Database Administration for Db2 for z/OS, refers to the specialized practice, role, and tooling involved in managing and maintaining IBM Db2 for z/OS, a premier relational database management system (RDBMS) that runs on the high-performance IBM Z mainframe platform.

IBM Db2 Genius Hub is an AI-powered data management console designed to turn IBM Db2 LUW into an autonomous database platform. Released by IBM, it serves as the unified, intelligent operational layer that completely replaces the older Db2 Data Management Console and Db2 Intelligence Center.

This PSP will provide details of each product.