How to build a unified governance strategy for your data and AI estate
Effective governance is essential to democratizing data and AI in the age of LLMs and generative AI. Enterprises face challenges with fragmented governance across databases, warehouses and lakes, complicating discovery, access permissions, data usage, audits and sharing. Governing ML models and AI tools is also vital to meet evolving AI regulations.
To thrive, enterprises need a unified and open governance approach that promotes interoperability, accelerates data and AI initiatives, and simplifies regulatory compliance.
Read this eBook to find out:
- Why your organization needs a modern approach to data governance that covers the full breadth of data use cases — from BI to ML
- What the key components are for a successful data governance framewok
- Data governance best practices for a data lakehouse
- How you can unify governance for your data, analytics and AI use cases with the Databricks Lakehouse platform
