[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODE1NTc","title","ENTERPRISE AI ARCHITECTURE AND THE MODERN AI STACK","state","published","contactAuthorMethod","email","aboutText","

Enterprise AI Architecture and the Modern AI Stack – Volume II builds upon the architectural foundations established in Volume I and takes readers into the practical realities of running AI at enterprise scale.

Designing an AI solution is only the beginning. Organizations must also deploy, secure, monitor, govern, and continuously improve AI systems while meeting enterprise requirements for reliability, compliance, scalability, and cost efficiency. This volume explores the operational side of Enterprise AI and provides a practical blueprint for transforming AI prototypes into production-ready platforms.

Inside this book, you'll learn how to:

Deploy Enterprise AI applications across cloud and hybrid environments
Build scalable AI platforms using modern infrastructure and orchestration
Secure AI systems with identity, API security, zero-trust principles, and data protection
Implement governance, compliance, responsible AI, and risk management
Monitor AI systems through observability, logging, tracing, and performance metrics
Establish AI operations (AIOps and LLMOps) for continuous delivery and lifecycle management
Design resilient enterprise architectures that support high availability, scalability, and disaster recovery
Optimize AI performance, infrastructure costs, and operational efficiency
Apply enterprise architecture best practices through reference architectures, implementation patterns, and real-world scenarios

Written from a vendor-neutral perspective, this book focuses on architectural principles that remain valuable regardless of the underlying technology stack. Whether your organization uses OpenAI, Anthropic, Google, Azure, AWS, SAP, open-source models, or hybrid AI platforms, the concepts presented here provide a durable foundation for building production-ready Enterprise AI systems.

This book is intended for Enterprise Architects, AI Architects, Solution Architects, Platform Engineers, AI Engineers, Cloud Architects, Technology Leaders, and software professionals responsible for delivering secure, scalable, and governed AI solutions.

Together, Volume I: Designing the Stack and Volume II: Running the Stack provide a comprehensive guide to Enterprise AI Architecture—from foundational design principles to operating intelligent systems in production.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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