Scaling and Integrating Generative AI Across Enterprise Systems : Unleashing the Power of Llms and Multimodal AI

Omtale

This practical guide is designed for enterprise leaders and technologists looking to design, deploy, and scale secure, production-ready Generative AI systems that deliver measurable business value. It offers Enterprise Integration Frameworks and prescriptive guidance to embed Generative AI seamlessly into existing systems empowering organizations to drive meaningful outcomes. Readers will gain insights into architectural best practices, organizational transformation strategies, and responsible AI implementation frameworks that align with enterprise values. The book also explores enterprise-grade security methods, specialized applications like ERP system integration (e.g., SAP), and the leading tools and platforms including Amazon Bedrock and SageMaker that enable scalable AI development. With real-world case studies and ROI analysis, this guide demonstrates how successful implementations are creating tangible business impact. Whether you're a technical architect shaping AI infrastructure or a business leader defining strategy, this book offers actionable guidance to help you scale AI responsibly one step at a time. You Will: Learn best practices for building secure, scalable, and sustainable generative AI applications using modern MLOps and LLMOps frameworks. Understand how to identify, prioritise, and develop production ready generative AI use cases tailored to enterprise needs. Practise proven architectural design patterns and integration strategies for scaling Large Language Models (LLMs) and multimodal AI systems within existing enterprise ecosystems This book is for: enterprise leaders, architects, and technology strategists