Overview

Enterprise Transformation with AI and Gen AI: From Legacy Architectures to Autonomous Systems Artificial Intelligence is no longer experimental-it is redefining how modern enterprises operate, compete, and scale. Yet most organizations struggle to move beyond pilots and proofs of concept. This book addresses that gap. In Enterprise Transformation with AI and Gen AI, Swapneswar Sundar Ray presents a practical, system-level blueprint for building production-grade AI systems that deliver measurable business outcomes. Drawing from extensive hands-on experience in large-scale enterprise platforms, API ecosystems, and distributed architectures, the author goes beyond theory to show how AI is actually implemented in real-world environments. The book introduces a structured approach to designing and deploying Retrieval-Augmented Generation (RAG) systems, integrating generative intelligence with real-time enterprise data to ensure accuracy, reliability, and scalability-key requirements for mission-critical systems. What You Will Learn How to transition from legacy architectures to AI-driven autonomous systems Designing scalable RAG-based architectures for enterprise use Building production-ready AI systems with APIs, governance, and observability Aligning AI initiatives with measurable business outcomes Implementing responsible AI with compliance, explainability, and risk controls Leveraging agentic systems to automate complex enterprise workflows Real-World ImpactUnlike academic treatments, this book is grounded in real enterprise challenges and solutions, including: Large-scale API platform optimization AI-driven automation reducing operational inefficiencies Production deployment strategies for generative AI systems Practical frameworks for integrating AI into regulated environments About the AuthorSwapneswar Sundar Ray is a technology professional specializing in enterprise systems, distributed architectures, and applied Artificial Intelligence. His work focuses on designing scalable, production-grade AI solutions that bridge the gap between innovation and real-world deployment. Through his contributions to AI system design, large-scale API ecosystems, and enterprise transformation initiatives, he brings a practitioner's perspective to one of the most critical technological shifts of our time. Why This Book MattersAs organizations move toward AI-first strategies, the challenge is no longer access to models-it is building reliable, scalable, and trustworthy systems around them. This book provides the blueprint.

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