Isbn: 9783031655548 - knowledge management and artificial intelligence for growth: cases from emerging and developed economies: 8 (information systems engineering and management) (2 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2025

    3031655540 / 9783031655548

    • Softcover

    Anbieter: preigu, Osnabrück, Deutschlandpreigu

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    Zustand: Neu

    EUR 167,00

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    Taschenbuch. Zustand: Neu. Knowledge Management and Artificial Intelligence for Growth | Cases from Emerging and Developed Economies | Isaias Bianchi (u. a.) | Taschenbuch | Information Systems Engineering and Management | viii | Englisch | 2025 | Springer | EAN 9783031655548 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Sprache: Englisch

    Verlag: Springer, 2025

    3031655540 / 9783031655548

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book delves into the intersection of Knowledge Management (KM) and Artificial Intelligence (AI). It explores their applications, challenges, and opportunities across various industries and regions. The approach is comprehensive, drawing insights from experts worldwide.The book offers fresh perspectives on using KM and AI as powerful tools for driving business success. It covers research opportunities, real-world case studies, and empirical investigations. Notably, it emphasizes the unique context of knowledge management in the southern hemisphere.The book spans a broad range of subjects, including knowledge absorption capacity as an internationalization driver, quality certification methods in the health sector, and the role of intellectual capital in Argentine tech companies. It also delves into machine learning techniques for property price estimation in Brazil and identity document verification in Peru.Professionals, scholars, and policymakers navigating the complex integration of KM and AI will find this book invaluable. By combining theoretical foundations with practical findings, it equips readers with the knowledge and tools needed for sustainable growth within their organizations.