AI agents are transforming how we build analytics—but where do you start, and how do you go from setup to real productivity? This session takes you on the full journey: from configuring your AI development environment to orchestrating specialized subagents that autonomously handle data pipelines, semantic models, and quality monitoring.

What you'll master:
- Master the AI tool landscape differentiating agents, copilots, and chatbots to choose the right tool for each analytics task
- Configure VS Code with GitHub Copilot and Claude Code, and connect MCP servers giving agents direct access to databases, semantic models, and documentation
- Build portable analytics skills packaging DAX patterns, SQL templates, Fabric Notebook snippets, and data modeling best practices into reusable agent expertise across the entire Microsoft data stack
- Architect multi-agent workflows using specialized subagents for Fabric pipeline automation, Notebook generation, DAX optimization, and semantic model development
- Design subagents for code review, testing, documentation, and end-to-end solution generation spanning SQL Server, Fabric Lakehouse, semantic models, and Power BI reports

Experience live demonstrations of AI agents building Power BI solutions end-to-end—from environment setup through autonomous pipeline maintenance—and walk away with a fully configured toolkit ready for immediate use.

- Target Audience: BI developers, data engineers, analytics engineers, Power BI developers ready to adopt AI-assisted development
- Format: 45-minute talk, 90-minute session, or full-day hands-on workshop (with live demonstrations)
- Takeaways: Environment setup guide, starter skill templates, MCP server configuration examples, Power BI MCP usage guide, subagent configuration examples
- Prerequisites: Experience with Power BI/DAX or SQL development, basic familiarity with code editors
- Level: Beginner to advanced (progressive journey from setup to advanced orchestration)
- Topics Covered: VS Code, GitHub Copilot, Claude Code, Model Context Protocol (MCP), AI Skills, Subagents, Microsoft Fabric, Fabric Notebooks, SQL Server, Power BI