Next-Generation Enterprise Architecture: Integrating AI, Data, and Decision Systems presents a forward-looking blueprint for transforming enterprise architecture from static documentation into an intelligent, adaptive decision system. The book argues that modern enterprises must move beyond traditional IT alignment toward intelligence enablement powered by AI, real-time data platforms, and event-driven architectures.
It explores how to design AI-ready systems with embedded intelligence, interoperable models, lifecycle governance, and scalable decision services. Emphasizing trust, traceability, and compliance, the book highlights governance-by-design, auditability, and resilience as foundational architectural principles. A unified reference architecture connects data infrastructure, AI models, decision orchestration, workflow automation, and regulatory controls into a cohesive framework.
Designed for enterprise architects, CIOs, and digital transformation leaders, this book provides practical strategies and architectural patterns for building resilient, scalable, and accountable enterprise systems in an era defined by intelligent automation and real-time decisioning.
