AI-Driven Knowledge Management Assets
With Artificial Intelligence (AI) reshaping how businesses operate, the integration of intelligent technologies into Knowledge Management (KM) processes offers new opportunities for optimising data-driven decision-making and enhancing organisational performance.
AI-Driven Knowledge Management Assets explores KM as a critical element of business strategy and managerial practice, especially in an era of rapid AI adoption. The authors examine KM’s foundational and advanced aspects through a managerial lens, highlighting how AI is reshaping contemporary KM practices. They delve into traditional KM strategies and cutting-edge AI applications. Each chapter is enriched with case studies and empirical research that showcase the real-world benefits and challenges of integrating AI into KM.
From uncovering the theoretical underpinnings of KM to examining AI-driven innovations that create competitive advantages, this work offers actionable insights and perspectives on future developments. The authors address ethical, sustainability, and managerial issues, equipping readers with the tools to navigate the complexities of AI-infused KM practices.
Providing a valuable resource for business leaders, academics, and students, this volume supports those looking to integrate AI into KM to drive strategic decision-making and operational efficiency. Merging traditional knowledge management practices with the latest AI advancements, it prepares readers to harness technology for innovative solutions, positioning their organisations for success in the modern business landscape.
Original: $199.78
-65%$199.78
$69.92
Description
With Artificial Intelligence (AI) reshaping how businesses operate, the integration of intelligent technologies into Knowledge Management (KM) processes offers new opportunities for optimising data-driven decision-making and enhancing organisational performance.
AI-Driven Knowledge Management Assets explores KM as a critical element of business strategy and managerial practice, especially in an era of rapid AI adoption. The authors examine KM’s foundational and advanced aspects through a managerial lens, highlighting how AI is reshaping contemporary KM practices. They delve into traditional KM strategies and cutting-edge AI applications. Each chapter is enriched with case studies and empirical research that showcase the real-world benefits and challenges of integrating AI into KM.
From uncovering the theoretical underpinnings of KM to examining AI-driven innovations that create competitive advantages, this work offers actionable insights and perspectives on future developments. The authors address ethical, sustainability, and managerial issues, equipping readers with the tools to navigate the complexities of AI-infused KM practices.
Providing a valuable resource for business leaders, academics, and students, this volume supports those looking to integrate AI into KM to drive strategic decision-making and operational efficiency. Merging traditional knowledge management practices with the latest AI advancements, it prepares readers to harness technology for innovative solutions, positioning their organisations for success in the modern business landscape.
