---
title: "Inside General Motors Metadata Lakehouse"
url: "https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/"
description: "Sherri Adame from General Motors explains how they're using their metadata foundation to power conversational discovery, enterprise search, and automated data product development."
keywords: "atlan, data governance, regovern 2025, regovern watch center"
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

Inside General Motors Metadata Lakehouse is a highlight clip from Re:Govern 2025, published in Atlan's Re:Govern Watch Center. Sherri Adame from General Motors explains how they're using their metadata foundation to power conversational discovery, enterprise search, and automated data product development.

Watch it at https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/ (free; the page asks for an email after two minutes of viewing).

## Speakers

- **Sherri Adame**, Enterprise Data Governance Leader, General Motors. Sherri transformed GM's governance from "hunting teams down" to having teams seek her out. Through shift-left automation, data contracts, and transparent metrics, she's proven governance is a product that delivers value - now leading GM's evolution from traditional manufacturing to AI-powered, software-defined vehicles.

## Companies

- **General Motors**: America's largest automaker transitioning from manufacturing to software. GM is investing $10.9B in Databricks and Google Cloud to power its mission of software-defined vehicles targeting zero crashes, zero emissions, zero congestion by 2035.

## What's inside

General Motors built a strong metadata foundation through governance - now they're exploiting its value for AI and automation. Using Atlan's metadata lakehouse, they're setting up conversational interfaces for data discovery, enabling enterprise search across metadata, automating data transfer governance through contracts, and building new data products without manual analysis by reusing existing metadata.

Key takeaways:

- Metadata foundations built for governance unlock value for AI, search, and automation downstream
- Conversational interfaces (like "genie rooms") give users new ways to discover and understand datasets through natural language
- Enterprise search across metadata accelerates development by helping teams quickly find relevant information
- Data contracts can automate manual processes like registering and governing data transfers across systems
- Building data products on top of existing products becomes automatic when original metadata is already captured

## Related

- [Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era (session recording)](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/)
- [General Motors Proactive Governance Approach](https://atlan.com/regovern-watch-center/gm-proactive-governance/)
- [How General Motors Gamified Metadata Enrichment](https://atlan.com/regovern-watch-center/gm-metadata-enrichment-gamification/)
- [All Re:Govern 2025 sessions and highlights: the Re:Govern Watch Center](https://atlan.com/regovern-watch-center/)
- [Book a demo of Atlan](https://atlan.com/forms/talk-to-sales-contact/)