Data and AI Governance

Data and AI Governance

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 AI
  • What the key components are for a successful data governance framework
  • Data and AI governance best practices
  • How you can unify governance for your data and AI use cases with the Databricks Data Intelligence Platform

Author

  • Rushikesh A

    Rushikesh A is a seasoned digital marketing expert and content strategist with over 5 years of experience in SEO, content writing, and online brand building. At Lion Reach Media, he specializes in creating high-performing content that improves search visibility, drives engagement, and delivers measurable results. Passionate about helping businesses grow, Rushikesh combines proven SEO strategies with creative storytelling to craft content that ranks and resonates.