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Titlebook: Data-Centric Business and Applications; Advancements in Info Peter ?tarchoň,Solomiia Fedushko,Katarína Gubíniov Book 2024 The Editor(s) (if

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發(fā)表于 2025-3-21 18:13:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data-Centric Business and Applications
副標(biāo)題Advancements in Info
編輯Peter ?tarchoň,Solomiia Fedushko,Katarína Gubíniov
視頻videohttp://file.papertrans.cn/285/284458/284458.mp4
概述Explores various aspects of information processing for effective enterprise management, including methods and techniques.Offers practical knowledge on different facets of information and knowledge man
叢書(shū)名稱(chēng)Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Data-Centric Business and Applications; Advancements in Info Peter ?tarchoň,Solomiia Fedushko,Katarína Gubíniov Book 2024 The Editor(s) (if
描述.This book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today‘s rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data..
出版日期Book 2024
關(guān)鍵詞Information/Knowledge Centric Business; Information/Knowledge Compelled Optimization; Information/Know
版次1
doihttps://doi.org/10.1007/978-3-031-59131-0
isbn_softcover978-3-031-59133-4
isbn_ebook978-3-031-59131-0Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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