Generative and Open AI in Industry 5.0
Sangeeta Sharma editor Robin Singh Bhadoria editor Mukesh Kumar Giluka editor
Format:Hardback
Publisher:Taylor & Francis Ltd
Publishing:3rd Apr '26
£81.99
This title is due to be published on 3rd April, and will be despatched as soon as possible.

This book provides an up-to-date and easy-to-read introduction to Generative AI and its revolutionary contribution to building Industry 5.0. Written for both practitioners and interested readers, it is a clear and compelling overview of the technologies at the heart of the next industrial revolution.
Part one introduces the conceptual notions behind generative models, large language models (LLMs), and the neural networks that drive them. It delves into the mathematical and conceptual foundations of Generative AI, transformer architecture, and the practical applications of language and vision models. The second half links the innovations to Industry 5.0, discussing digital twins, predictive maintenance, DevOps, and cybersecurity in intelligent systems. It encompasses real-world applications of AI in areas such as finance, manufacturing, and smart infrastructure. Case studies, like the application of generative models in FinTech and blockchain adoption, underscore how AI is already transforming business and society around the world.
The book is perfect for students, researchers, and practitioners of AI, data science, and industrial systems interested in comprehending the theory and practical applications of Generative AI. It also benefits educators and policy makers who wish to lead in cutting-edge technological advancements, with emphasis on responsible, secure, and human-oriented AI applications for a brighter future.
‘The editors have assembled a stellar line-up of contributors, who together explore every aspect of this cutting-edge topic. Combining research and practice, this will be an indispensable text for all readers.’
Brian A. Martin, University of East London, UK; Past President, UCAP
ISBN: 9781032979816
Dimensions: unknown
Weight: unknown
324 pages