Goniwada Sh.R. - Transformation Enterprise Architecture with Agentic AI [2026, PDF/EPUB, ENG] [TorrentX]

Transformation Enterprise Architecture with Agentic AIГод издания: 2026 Автор: Goniwada Sh.R.Издательство: Apress ISBN: 979-8-8688-3109-6 Язык: АнглийскийФормат: PDF/EPUB Качество: Издательский макет или текст (eBook) Интерактивное оглавление: Да Количество страниц: 597Описание: This book is a practical guide to transforming enterprise architecture in the age of Generative AI. As intelligent systems reshape how organizations build, scale, and govern technology, this book bridges the gap between traditional architectural frameworks and the emerging GenAI-driven landscape. The book begins with an overview of enterprise architecture principles, including TOGAF, Zachman, and Gartner frameworks, and dives into core architectural layers—application, data, technology, infrastructure, and security. It then introduces the fundamentals of Generative AI, its model types, and its rapid evolution within enterprise contexts. The core of the book is how GenAI disrupts and elevates architectural thinking—from conversational modeling and automated decision records to reimagining design lifecycles through intelligent automation, augmentation, and autonomy. Readers will learn how to modernize application portfolios, document and repair APIs, and embed LLMs as intelligent middleware. Dedicated chapters explore GenAI's transformative impact on platform engineering, DevOps, cloud/edge infrastructure, observability, and AI-augmented governance. Key use cases include auto-generating code and configurations, orchestrating deployment pipelines with non-human agents, enabling self-documenting platforms, and enhancing security through GenAI-driven threat modeling and compliance enforcement. The book concludes by examining Responsible AI practices and human oversight in autonomous architectures, offering practical insights into creating secure, scalable, and resilient systems powered by GenAI. Python has become the universal language of AI and ML because its simplicity, readability, and versatility make it accessible to all levels of users. Python benefits from an extensive ecosystem of libraries and frameworks, as well as mature community support. There are libraries that are required along with programming languages; they are as follows: • NumPy: NumPy provides highly optimized routines for numerical operations on large, multidimensional arrays and metrices. It enables efficient execution of linear algebra, Fourier transforms, and other mathematical computations that underpin ML algorithms. • Pandas: This library offers flexible data structures such as Pandas DataFrames, which makes it easier to clean, transform, and analyze large datasets. This library is critical for preparing the massive and complex data inputs required to train LLMs. Whether you're an architect or developer, this book provides a modern framework for applying GenAI across the enterprise stack and designing the next generation of intelligent, adaptive, and self-governing enterprise systems. What you will learn: - Understand core enterprise architecture principles and frameworks in the context of a generative AI-driven world. - How GenAI is disrupting and enhancing every layer of enterprise architecture—from design to deployment. - Explore practical methods for integrating GenAI into application architecture, API ecosystems, a