Semantic Model Optimization for Enterprise AI Enablement

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Semantic Model Optimization for Enterprise AI Enablement


As Microsoft Copilot rolls out across all Fabric SKUs, organizations have an unprecedented opportunity to scale AI-driven insights to every user. However, the success of tools like Copilot depends entirely on how well your semantic model is structured. In this session, we will explore the essential elements of optimizing semantic models for enterprise-grade AI experiences.

Topics will include best practices for building a clean star schema, defining intuitive relationships, creating well-structured DAX measures, and using clear metadata to guide natural language interpretation. We will also cover strategies for implementing meaningful hierarchies, standardizing data values, labeling KPIs, and ensuring secure access through role-level security.

Attendees will walk away with practical guidance on how to prepare their models so Copilot can deliver accurate, contextual, and business-relevant responses. Whether your organization is just beginning its Copilot journey or aiming to improve AI outcomes, this session will help you build the kind of robust semantic model that enables AI success across the enterprise.

Experience level – level 300

 

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