
Databricks wants to unveil a customer-facing technical session and live demo at Data + AI Summit for a new Mosaic AI agentic analytics workflow built on Databricks Agent Framework, Databricks Vector Search, Foundation Model APIs, Model Serving, Unity Catalog, Delta Lake, MLflow, and DBRX. The content must work for a mixed audience of AI engineers, data platform leaders, and executives, while still being technically credible enough to support follow-up field conversations and customer adoption.
You are the AI Engineer responsible for driving execution across a 9-person virtual team: 3 AI engineers, 2 solutions architects, 1 product marketer, 1 designer, 1 developer advocate, and 1 legal/compliance reviewer. The summit is 8 weeks away, and the session abstract is already accepted. Leadership expects the talk to generate reusable launch assets, not just a one-time presentation.
The VP of Product wants a polished narrative that highlights Mosaic AI and Databricks Foundation Model APIs. The field CTO wants a technically deep demo with real Spark and PySpark pipelines, MLflow Agent Evaluation, and measurable RAG faithfulness and groundedness results. Legal requires all customer examples to use approved synthetic or anonymized Delta Lake datasets under Databricks Unity Catalog. Product marketing wants a simple story that can be repurposed into a blog, hands-on lab, and sales enablement deck.