Managing Artificial Intelligence: How Organizations Succeed with AI
暫譯: 管理人工智慧：組織如何成功運用AI

Urbach, Nils, Feulner, Daniel

Managing Artificial Intelligence: How Organizations Succeed with AI
  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $3,550
  • 貴賓價: 9.5 折 $3,372
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032133076
  • ISBN-13: 9783032133076
  • 相關分類: AI Coding

    • 海外代購書籍(需單獨結帳)

商品描述

Artificial intelligence (AI) is reshaping the way organizations operate, make decisions, and create value. As AI systems become increasingly embedded in business processes, the challenge lies not only in understanding the technology but in managing it effectively. This book provides a comprehensive and structured overview of the principles, strategies, and practices required to integrate AI into modern organizations.

It spans the full AI lifecycle, from foundational concepts and learning methods to the identification of use cases, the implementation of AI strategies and governance mechanisms, as well as the design and development of AI applications. It examines how to design meaningful human-AI interactions, navigate workforce transformation, and operate AI systems at scale. Ethical, legal, and social dimensions are addressed to ensure that AI adoption aligns with values such as transparency, fairness, and accountability.

The book is written for decision-makers, professionals, and students who are not only curious about AI - but who want to actively shape its role in organizations. Whether you're leading AI initiatives or preparing for the future of work, it provides essential guidance for leveraging AI in a strategic and impactful way. After all, AI hasn't (yet) figured out how to manage itself.

商品描述(中文翻譯)

人工智慧（AI）正在重塑組織的運作方式、決策過程和價值創造。隨著AI系統日益融入商業流程，挑戰不僅在於理解這項技術，還在於有效地管理它。本書提供了全面且結構化的概述，涵蓋將AI整合進現代組織所需的原則、策略和實踐。

本書涵蓋了整個AI生命週期，從基礎概念和學習方法，到用例的識別、AI策略和治理機制的實施，以及AI應用的設計和開發。它探討了如何設計有意義的人機互動、應對勞動力轉型，以及如何大規模運行AI系統。書中還涉及倫理、法律和社會層面，以確保AI的採用與透明度、公平性和問責等價值觀相一致。

本書的讀者對象是決策者、專業人士和學生，他們不僅對AI感到好奇，還希望積極塑造其在組織中的角色。無論您是領導AI倡議還是為未來的工作做準備，本書都提供了在戰略和有影響力的方式中利用AI的必要指導。畢竟，AI尚未（還）學會如何自我管理。

作者簡介

Nils Urbach is Professor of Information Systems and Digital Business and Director of the Research Lab for Digital Innovation & Transformation at the Frankfurt University of Applied Sciences, Germany. He is Director at the FIM Research Center for Information Management, and the Branch Business & Information Systems Engineering of Fraunhofer FIT. Nils Urbach has been working in the fields of digital innovation and transformation for several years. His work has been published in several academic journals such as Information Systems Research (ISR), the Journal of Strategic Information Systems (JSIS), the Journal of Information Technology (JIT), MIS Quarterly Executive (MISQE), IEEE Transactions on Engineering Management (IEEE TEM), Information and Management (I&M), Business & Information Systems Engineering (BISE), and Electronic Markets (EM). He advises several companies on digitalization issues and regularly appears as a speaker on this topic.

Daniel Feulner received his M.Sc. in information system from the Otto-Friedrich University of Bamberg, Germany in 2023. He is an affiliated researcher at the Branch Business & Information Systems Engineering of the Fraunhofer FIT and FIM Research Center for Information Management at the University of Bayreuth. In his research, he aims to understand how Business Analytics and Artificial Intelligence can be effectively and responsibly utilized in organizations. His goal is to enable companies to drive innovation and achieve sustainable growth in a rapidly evolving technological landscape.

作者簡介(中文翻譯)

Nils Urbach 是德國法蘭克福應用科技大學資訊系統與數位商務的教授，以及數位創新與轉型研究實驗室的主任。他是資訊管理FIM研究中心的主任，以及Fraunhofer FIT的分支商業與資訊系統工程部門的主任。Nils Urbach在數位創新與轉型領域工作多年。他的研究成果已發表於多個學術期刊，如《資訊系統研究》（Information Systems Research, ISR）、《策略資訊系統期刊》（Journal of Strategic Information Systems, JSIS）、《資訊科技期刊》（Journal of Information Technology, JIT）、《管理資訊系統季刊執行版》（MIS Quarterly Executive, MISQE）、《IEEE工程管理期刊》（IEEE Transactions on Engineering Management, IEEE TEM）、《資訊與管理》（Information and Management, I&M）、《商業與資訊系統工程》（Business & Information Systems Engineering, BISE）以及《電子市場》（Electronic Markets, EM）。他為多家公司提供數位化相關的諮詢，並經常以演講者身份出現於此主題的活動中。

Daniel Feulner 於2023年在德國班貝格的奧托-弗里德里希大學獲得資訊系統碩士學位。他是巴伊羅伊大學Fraunhofer FIT的分支商業與資訊系統工程部門及資訊管理FIM研究中心的附屬研究員。在他的研究中，他旨在了解商業分析（Business Analytics）和人工智慧（Artificial Intelligence）如何在組織中有效且負責任地運用。他的目標是使公司能夠在快速變化的技術環境中推動創新並實現可持續增長。

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