Manual DAX optimization, brittle ETL pipelines, and repetitive data quality checks consume 80% of analytics development time. The future is agentic AI—where specialized subagents autonomously handle data pipeline automation, semantic model development, and quality monitoring while portable skills provide reusable analytics expertise. Discover how this orchestrator-worker pattern can transform data engineering and BI development.

What you'll master:
- **Architect multi-agent analytics workflows** using specialized subagents for data pipeline automation, DAX generation, and semantic model optimization
- **Leverage Power BI MCP servers** that convert natural language into DAX queries and automate Tabular Object Model (TOM) development tasks
- **Build intelligent data pipelines** where AI agents detect schema changes, adapt transformations automatically, and reduce data quality incidents by 70%
- **Create portable analytics skills** packaging DAX patterns, SQL optimization techniques, and data modeling best practices into reusable agent expertise
- **Design specialized subagents** for code review (finding 31+ issues in Power BI models), testing, documentation, and end-to-end report generation
- **Automate enterprise analytics tasks** including metadata generation, data quality monitoring, exploratory data analysis, and semantic layer maintenance

Experience live demonstrations of AI agents building Power BI reports end-to-end, generating optimized DAX measures, and autonomously maintaining data pipelines that adapt to changes without breaking.

Position yourself at the forefront of agentic analytics—where data engineers and BI developers orchestrate teams of specialized AI agents rather than writing every line of code manually.

- Target Audience: Data engineers, BI developers, analytics engineers, Power BI developers, data architects
- Format: 60-minute session or 3-hour hands-on workshop (with live demonstrations)
- Takeaways: Skill templates for analytics, Power BI MCP usage guide
- Prerequisites: Experience with Power BI/DAX, data modelling, or data preparation; basic understanding of AI coding assistants
- Technologies: Power BI, VS Code, Claude Code, Model Context Protocol (MCP)
- Level: Intermediate to advanced analytics professionals ready to move beyond manual development