We're at Databricks Data + AI Summit 2026

Production AI demands the same discipline as a well-run kitchen: everything prepared, organized, and ready before the rush. This talk shows how Apache Airflow unifies data pipelines and AI workflows in one observable control plane — replacing fragmented observability, failure handling, and team handoffs.

Real project walkthroughs include:

• Multi-agent orchestration at production scale
• AI-driven pipeline branching and decision logic
• Vision model integration in live data workflows
• Airflow as a unified system of record for data + AI

Every enterprise has an AI strategy. Few have the foundation to deliver on it. This session tackles one of the most overlooked gaps in production AI — context — and shows the architectural pattern that fixes it. Key topics:

• Why static context (semantic layers, ontologies) isn't enough for production AI
• How orchestration accumulates the evidence AI actually needs to run reliably
• Capturing what ran, what changed, and what humans corrected — continuously
• The architectural pattern production AI depends on