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{ "item_title" : "Generative Artificial Intelligence in Knowledge Management Systems", "item_author" : [" Gang Liu", "Jin Chen", "Eric Tsui "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/04/107/522/1041075227_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Generative Artificial Intelligence in Knowledge Management Systems|Gang Liu

Generative Artificial Intelligence in Knowledge Management Systems : Concepts, Design, and Case Studies

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Overview

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 item is Non-Returnable

Details

  • ISBN-13: 9781041075226
  • ISBN-10: 1041075227
  • Publisher: Routledge
  • Publish Date: June 2026
  • Page Count: 282

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