Agentic Development for Analytics: Build Your AI Toolkit with Subagents, Skills, and MCP

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.