Analytics Infrastructure and Risks in the Age of AI: Foundations and Frameworks for Building Enterprise-Scale AI

Bringing analytics rigor together with infrastructure design and risk awareness, the book addresses the technical, organizational, ethical, and regulatory challenges that emerge as AI systems move from experimentation to production. It offers frameworks for building resilient analytics platforms, managing model lifecycles, governing data and AI responsibly, and mitigating operational and strategic risks. Written for practitioners, leaders, educators, and advanced students, this book serves as a practical guide to building sustainable, enterprise-scale analytics and AI systems in an increasingly autonomous and high-stakes digital environment.