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
