10/09/2024
Implementing generative AI successfully?
Most enterprises are focusing on two main use cases for gen AI:
1️, Knowledge Management (KM)
2️, Retrieval Augmented Generation (RAG) models
Both rely heavily on an organization's own data and IT leaders need to focus on 3 key aspects for gen AI projects.
Key Aspect #1: Collect, filter, and categorize data using open-source tools, removing sensitive information, blending sources, and implementing quality controls.
Key Aspect #2: Strengthen data governance by automating quality checks, adhering to AI regulations, and implementing robust security and classification systems.
Key Aspect #3: Safeguard privacy and IP by reviewing access controls, understanding data sharing practices, and protecting valuable information when using public models.
https://www.cio.com/article/3539802/3-things-to-get-right-with-data-management-for-gen-ai-projects.html