Two in-depth sessions will demonstrate how artificial intelligence is no longer a future concept, but a practical tool that can reduce workload, recover lost knowledge, and unlock entirely new ways of working with data. 

Session 1: From Chaos to Clarity

Martin Hecht Olsen · April 13, 4:15 - 6:15 PM · Room: Bro & Bælt

Imagine relying on a business-critical IBM i system where the most valuable asset - knowledge - is quietly disappearing. Experienced professionals are retiring, key users are moving on, and what remains is a complex, largely undocumented system that still powers essential operations, yet is no longer fully understood.

"Experienced professionals are retiring. What remains is a complex, largely undocumented system that still powers essential operations, yet is no longer fully understood. This is one of the defining challenges facing IBM i environments."

This is not a hypothetical scenario - it is one of the defining challenges facing IBM i environments in this decade.

In this session, you will follow the journey of a company confronted with exactly this situation. What began as uncertainty and fragmented knowledge was transformed into clarity and control: from limited visibility to full visual insight, from missing documentation to a comprehensive, structured foundation. By leveraging AI agents, the organization not only restored understanding but also enabled continuous development and automated reporting for end users.

We will walk you through the entire transformation - from chaos to a future-ready platform - unlocking new opportunities and making the system attractive to a new generation of talent.

Session 2: Turning AI into a Data Source with LLMs and SQL

Niels Liisberg · April 13, 4 - 5 PM · Room: Fremtiden (1st floor)

This session explores how to connect to an AI large language model (LLM) and integrate its output into your workflows as if it were a traditional data source. Participants will learn how AI-generated results can be harvested, structured, and incorporated alongside conventional data, enabling new analytical possibilities within existing systems. 

The session will also address a common challenge: constructing meaningful and sophisticated SQL queries when you do not have a complete understanding of how a database is structured. We will examine how AI can assist in bridging this gap and help generate accurate queries based on contextual understanding. 

"IBM i is not a legacy constraint - it is a foundation with untapped potential. The right approach transforms complexity into clarity."

A key concept introduced will be the Model Context Protocol (MCP), which enables AI systems to access structured context and provide more precise, reliable responses. Through practical demonstrations, the session will show how MCP can guide AI in navigating data environments and producing useful outputs.  

Finally, the session will showcase Bob, IBM’s new solution designed to leverage these capabilities. Attendees will see how Bob integrates AI with data systems to simplify querying, improve insight generation, and make advanced AI assistance accessible within everyday data workflows.

Join the Experience

These sessions are designed to provide practical insights, real-world examples, and tangible outcomes - not theoretical concepts.

For organizations relying on IBM i, this is an opportunity to see how long-standing challenges can be solved with modern AI technologies.

Register and learn more: https://common.dk/events/powersummit2026/

Conclusion

IBM i is not a legacy constraint - it is a foundation with untapped potential. With the right approach, combining structured insight and AI-driven innovation, organizations can transform complexity into clarity and turn data into a strategic advantage.

Post event video and slides will be shared here.