AI promises productivity gains, but real value comes from disciplined implementation. This half-day technical session moves beyond theory and demonstrates how to systematically embed AI and automation into Microsoft Fabric. Technical success alone is not enough. You will learn how to establish standards, build internal prompt libraries, create review processes, and drive adoption across teams so that AI becomes a scalable capability rather than a personal productivity trick.
Attendees will move beyond theory and into practical application, learning what tools and libraries improve Fabric productivity through hands on exercises that put these concepts into practice.
We will explore how AI can be applied to generate test cases, validate calculations, detect inconsistencies, and verify that deployed artifacts meet their original intent. The goal is to reduce defects while increasing delivery speed without sacrificing governance. We will examine how this can be incorporated into many aspects of Fabric, from Notebooks to Semantic models.
Attendees will leave with:
• A structured framework for integrating AI into Fabric development
• Practical GitHub Actions patterns for enforcing standards and automation
• Repeatable methods for moving from specification to semantic model implementation
• AI-assisted testing strategies to improve release quality
• Governance and adoption patterns that scale across teams

This is a hands-on, implementation-focused session designed for architects, data engineers, and BI developers who want to modernize their Microsoft Fabric practice with disciplined AI and automation techniques.