Data and AI Governance

In this age of generative AI and large language models (LLMs), the fundamental principles of governance — accountability, compliance, quality and transparency — that were traditionally essential for data management have now become equally imperative for AI. To thrive in this AI era, businesses must adopt a unified approach to data and AI governance. Fragmented governance strategies can lead to fragmented data and AI implementations, inconsistent governance policies, incomplete monitoring, and even compliance problems and missed revenue opportunities.

Databricks took a pioneering approach with Unity Catalog by releasing the industry’s only unified solution for data and AI governance across clouds and data platforms. Organizations can use Unity Catalog to securely discover, access, monitor and collaborate on files, tables, ML models, notebooks and dashboards across any data platform or cloud while also leveraging AI to boost productivity and unlock the full potential of the lakehouse environment.

Discover the insights within this eBook, where you’ll learn:

• Why your organization requires a modern approach to governance that encompasses a wide spectrum of use cases, from business intelligence (BI) to artificial intelligence (AI)
• The essential components of a successful data and AI governance framework
• Best practices for data and AI governance tailored to a lakehouse environment
• How you can consolidate governance efforts for both your data and AI use cases using the Databricks Lakehouse Platform