Part III moves from designing the modern enterprise data environment to understanding how that environment enables artificial intelligence. It examines the architectural relationship between enterprise data and AI, then develops the foundations for generative AI, retrieval-augmented generation, semantic and knowledge architecture, agentic systems, and decision intelligence.
The central theme is that AI readiness is not achieved by adding models to an existing data platform. It requires trusted information, meaningful context, governed access, reliable data products, and an architecture that connects AI capabilities to enterprise processes and decisions.
Chapters in this part
11
The Relationship Between Enterprise Data Architecture and AI
12
Enterprise Generative AI Architecture
13
RAG, Vector Databases, and Enterprise Knowledge Retrieval
14
Semantic Architecture, Knowledge Graphs, and Enterprise Context
15
Agentic AI and Intelligent Enterprise Architecture
16
Enterprise Decision Intelligence