Databricks on Databricks: How Marketers Use Data 3x More with Genie, an AI Analytics Assistant @Databricks
Databricks on Databricks: How Marketers Use Data 3x More with Genie, an AI Analytics Assistant  @Databricks
Uploaded June 2026 | Updated September 2026, 3 weeks ago
Elizabeth Dobbs, AVP of Marketing Technology at Databricks, explains how our Marketing team built & implemented Marge, a conversational analytics assistant, on top of our Marketing Lakehouse foundation.

Marge is the single biggest time saver for our Marketing Analytics team, helps marketers use data 3X more in their decisions, and is used by over 85% of our organization.

Marge's strong adoption was driven by a few key mechanisms that ensure trust: a foundation of governed data in Unity Catalog, continuous feedback loops, close partnership with business stakeholders, and embedding Marge into behavioral workflows.

TIMESTAMPS:
00:00 – Introduction to Databricks' Marketing Genie

01:48 – Challenges: Building a Unified Data Foundation

02:52 – Introducing Marge: The AI Marketing Assistant

04:49 – Ensuring Accuracy and Trust

07:34 – Strategies for Driving Adoption

09:31 – Measuring Business Impact

10:53 – Key Takeaways for Starting Your Journey

Learn more about Genie: databricks.com/product/business-intelligence/genie
Databricks on Databricks: How Marketers Use Data 3x More with Genie, an AI Analytics AssistantTrace Any AI Agent with OTel, MLflow, and Unity Catalog
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Databricks on Databricks: How Marketers Use Data 3x More with Genie, an AI Analytics Assistant

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