Navigating AI Data Dynamics

This chapter explores the vital role of data in the evolution of AI, particularly in enterprise settings, from 2016 to 2025. It addresses the challenges of ensuring quality and compliance in generative models, emphasizing the need for robust frameworks and guardrails to manage data effectively. The discussion highlights the importance of maintaining control over AI agents, especially in regulated industries, to balance data accessibility with privacy and confidentiality.