The semantic layer provides a unified abstraction for AI and machine learning, ensuring consistent business logic, governance, and security. By decoupling consumption from physical storage, it delivers clean, context-rich data models essential for an AI-ready environment. This architecture enables large language models to interpret data accurately, reducing errors and accelerating development lifecycles.