commoneuropecongress2026

Meet IBM Bob. This is IBM's latest offering for providing an Integrated Software Development and Modernization Assistant. This session to an introduction to Bob and how Bob can be used to solve many use case that our IBM i development teams have struggled with for years. Things like understanding how your applications actually work! How can I move forward with refactoring and modernizing my code without fear. We will look at the many use cases like refactoring and code transformation and how IBM Bob can be a game changer. We will even show Bob at work doing some of these tasks with a live demo.

Significant security enhancements have been delivered in recent releases (IBM i 7.5 and IBM i 7.6) as well as technology refreshes (TRs). In this session Carol will describe new and enhanced security-related features and describe how and why you should use them.

Join me in exploring Project Bob, a new AI-powered software development partner. We’ll look at how Bob supports the entire software development cycle through intelligent modes, tools, commands, and workflows that understand your code, intent, and standards. We’ll also dive into practical demos for IBM i developers, showcasing how Bob can explain, understand, refactor, transform, and test even monolithic or legacy codebases.

In this session, Victor Klaren shows a new approach to RPG modernization: one that builds on the strength of IBM i.

Using the Thinkwise AI-Upcycler, RPG code is analyzed and automatically transformed into a modern application on the Thinkwise Platform. While IBM i and Db2 remain fully in place.

You’ll see how at least 90% of an RPG application can be converted in a single step: including data, business rules and process flows.

But modernization is only the starting point. We’ll show how this creates a foundation for what’s next: integrating with modern architectures, exposing functionality through APIs, and enabling new interaction patterns such as MCP and agentic AI.

Today's IT landscape is changing from traditional logic workflows to agentic AI inferencing. AI agents require low-latency inference and real-time system responsiveness. IBM recognized the need for servers to run AI models along with the most demanding enterprise workloads without compromising on throughput.
To address this demand, clients need AI inferencing hardware that supports generative and agentic AI while maintaining the security and resilience of core data, transactions and applications.
A Linux LPAR with Spyre accelerators is built to enable systems keeping mission-critical data close to mitigate risk while addressing operational efficiency.In this session we will show how mgd's internal IBM i systems are running SAP on IBM i with integrated AI we will show the S1122 we use as production system and the Linux LPAR with Spyre acceleratorswe will demonstrate how we integrate AI in SAP on IBM i and demo AI queries from IBM i CLI

Data is the new currency, and protecting it is more important than ever. In IBM i environments, safeguarding sensitive information at the database level is a key requirement for compliance, risk reduction, long-term application trust and data consitency. With traditional database methods and additional programming, data access can be restricted, but also circumvented! Db2 for i provides powerful, built-in capabilities for fine-grained security through Row and Column Access Control (RCAC), enabling precise control over which data can be seen and by whom (on user profile and group profile level) —without requiring changes to application code.If RCAC is activated only explicitly registered users can see an access the database data. Even powerful profiles with QSECOFR user classe or *ALLOBJ authority cannot see any data if they are not registered.Since the implemented RCAC rules cannot be circumvented (not even by powerful user profiles) an detailed planning is required, so no data will get lost