Building Production Data Products: HDC Journey from Asset Bundle Automation to Genie Orchestration
Overview
| Experience | In Person |
|---|---|
| Track | Analytics & BI, Artificial Intelligence & Agents |
| Industry | Communications, Media & Entertainment |
| Technologies | AI/BI, Unity Catalog, Databricks Agents |
| Skill Level | Beginner |
Programmatic advertising teams drown in data signals yet struggle to synthesize coherent media strategies. This session reveals how MiQ engineered a production-grade AI agent using Databricks Unity Catalog, Genie workspaces, and MCP integration to transform fragmented intelligence into prescriptive media plans. We'll demonstrate our ReAct-pattern agent that autonomously orchestrates queries solving the "Inference Gap" between data retrieval and strategic action. Key technical deep-dives include: (1) Building reproducible yet adaptive LLM workflows in LangGraph with Databricks SDK, (2) Context persistence optimization (3) Multi-layered evaluationAttendees will learn battle-tested patterns for orchestrating Databricks workspaces as agent tools and reasoning engine, achieving enterprise-grade reliability from non-deterministic LLMs, and reducing media planning cycles from days to minutes while standardizing expertise across teams.
Session Speakers
Abhishek Pandey
/Global Product Lead, Intelligence
MiQ Digital
Anish Roy
/Senior Director, Product Data Science
MiQ Digital