Session
Unlock Self-Service Analytics: Master the Human & AI-Friendly Semantic Layer
Transform your organization's data strategy by mastering the essential bridge between IT and Business. This session reveals how to build semantic layers that empower both human users and AI assistants (including Copilot) to extract maximum value from your data assets.
What you'll master:
• Implement optimal responsibility division between IT/BI teams and business users for scalable self-service
• Design semantic layer structures that balance usability, performance, and AI compatibility
• Optimize naming conventions and metadata specifically for Copilot and AI assistant readability
• Leverage advanced model features (field parameters, perspectives, calculation groups) that accelerate report creation
• Apply performance optimization techniques that deliver instant insights even with billions of rows
• Master code-first semantic layer design using TMDL and modern development workflows
• Train AI Coding Agents to efficiently implement these improvements
You'll build semantic layers that slash report development time by 60%, eliminate IT bottlenecks, and position your organization for success in the AI-augmented analytics era.
Target Audience: BI developers, data architects, analytics leaders
Format: 30-minute lightning talk, 60-minute session, or 2-4 hour hands-on workshop
Takeaways: Semantic layer design checklist, naming convention guide, Copilot optimization templates
Level: Intermediate to advanced Power BI/Fabric developers
Topics Covered: Power BI, Microsoft Fabric, Azure Analysis Services, AI Coding Agents
Mihaly Kavasi
Group Manager - Avanade
Southampton, United Kingdom
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top