Prerequisite: None
With the rise of GenAI, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), organizations must break down silos between the governance of structured data (data in tables) and the governance of unstructured data (documents).
The resulting integrated governance unlocks deeper insights and yields business outcomes that are more accurate, secure, and compliant.
During this session, we discuss:
- The differences between structured and unstructured data and their implications.
- How GenAI demands closer alignment in the governance of these two data types
- The historical roots and evolution of separate governance models
- Shared principles that connect the two disciplines
- Practical steps for integrating the two disciplines across the enterprise