AI is quickly becoming a practical tool for improving how IBM i teams analyze, modernize and deliver applications. But knowing where it fits and how to apply it effectively is key. In this session, we will examine how AI can be used to interpret complex IBM i code, generate meaningful documentation, and assist in modernization initiatives. We will also cover how these capabilities can be integrated into existing development workflows to improve speed and consistency without introducing unnecessary risk. With real examples and practical guidance, you will learn how to move from experimentation to execution with AI in your IBM I environment.
Learning Objectives:- Understand AI-driven techniques for analyzing and documenting IBM I applications.
- Learn how AI can assist with code transformation and modernization strategies.
- Explore integration of AI into existing IBM I development workflows.
- Get practical guidance on moving from AI exploration to implementation.
