This book looks at generative artificial intelligence (GAI) and knowledge management systems (KMS). It explains the design considerations to implement generative AI in practice.The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design, and implementation and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles, and best practices. This provides readers with essential insights into future technology development trends.Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.

This book looks at generative artificial intelligence (GAI) and knowledge management systems (KMS). It explains the design considerations to implement generative AI in practice.The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design, and implementation and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles, and best practices. This provides readers with essential insights into future technology development trends.Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.

This book looks at generative artificial intelligence (GAI) and knowledge management systems (KMS). It explains the design considerations to implement generative AI in practice.The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design, and implementation and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles, and best practices. This provides readers with essential insights into future technology development trends.Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.