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Data + AI Summit 2026

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About this event

What to expect

The Data + AI Summit 2026 returns to San Francisco June 15–18 as the premier gathering for data engineers, AI practitioners, and business leaders pushing the boundaries of lakehouse architecture and generative AI. With 800+ sessions spanning four days (plus virtual access), this Databricks-hosted conference delivers unmatched depth across data engineering, machine learning operations, governance, and agentic AI systems.

What to Expect

The summit features a constantly updated session catalog covering cutting-edge topics like Unity Catalog business semantics, Lakeflow Connect for data ingestion, agentic workflows with AgentBricks and MCP, and red-teaming LLMs in production. Confirmed sessions include real-world case studies from Toyota, Workday, Nationwide, Corteva AgriScience, and Ensemble Health Partners—organizations building AI-ready data platforms at massive scale.

Key technical tracks include:

  • Lakehouse architecture and Delta Lake/Apache Iceberg unification
  • Generative AI agents and LLM application development
  • Data governance with Unity Catalog and data mesh patterns
  • Real-time streaming and data engineering automation
  • Analytics acceleration with Genie and AI/BI tooling
  • Cybersecurity for data platforms and RAG pipelines

Pre-Conference Programming (June 15)

Before the main conference kicks off, attendees can deepen their expertise through:

  • Half-day training sessions (8:00 AM–6:00 PM) with hands-on labs to boost your Databricks credentials
  • Data + AI Hackathon (8:00 AM–4:00 PM) where data scientists and engineers collaborate on novel proofs-of-concept—applications close May 11
  • Evening meetups (6:00 PM–9:00 PM) connecting with peers across the data and AI ecosystem

Who Should Attend

This event serves data engineers modernizing ETL pipelines, ML engineers deploying production AI systems, data architects implementing lakehouse patterns, platform engineers managing Databricks at scale, and business leaders evaluating AI strategies. Sessions range from beginner-friendly overviews to advanced deep-dives on topics like 1000× faster retrieval through indexed search, building GIS agents, and protecting against data exfiltration in agent workflows.

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