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Big data and artificial intelligence for decision-making in the smart economy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data and artificial intelligence for decision-making in the smart economy/ edited by Aziza B. Karbekova, Ladislav Žák, Ivan Milenković.
其他作者:	Karbekova, Aziza B.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 466 p. :ill., digital ;24 cm.
內容註:	Intelligent Support for Personnel Decision Making and Socially Responsible HRM Using Big Data and AI -- Algorithm for Managerial Decision making Using Big Data and AI -- Big Data and AI as Human Machine Interaction Technologies in Managerial Decision Making within Digital Business -- The Mechanism of Automatization of Smart Business through Decision making and Management of Production Based on Big Data and AI -- Methodological Approach to Analyzing the Effectiveness of Intelligent Decision Support Using Big Data and AI.
Contained By:	Springer Nature eBook
標題:	Decision making - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-78686-0
ISBN:	9783031786860

Big data and artificial intelligence for decision-making in the smart economy
Big data and artificial intelligence for decision-making in the smart economy[electronic resource] /edited by Aziza B. Karbekova, Ladislav Žák, Ivan Milenković. - Cham :Springer Nature Switzerland :2025. - xiv, 466 p. :ill., digital ;24 cm. - Studies in big data,v. 1682197-6511 ;. - Studies in big data ;v. 168..

Intelligent Support for Personnel Decision Making and Socially Responsible HRM Using Big Data and AI -- Algorithm for Managerial Decision making Using Big Data and AI -- Big Data and AI as Human Machine Interaction Technologies in Managerial Decision Making within Digital Business -- The Mechanism of Automatization of Smart Business through Decision making and Management of Production Based on Big Data and AI -- Methodological Approach to Analyzing the Effectiveness of Intelligent Decision Support Using Big Data and AI.

This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the "black box" of decision-making automation in the smart economy through these technologies. The book clarifies the role and significance of big data and AI in decision-making within the smart economy, highlighting its fundamental importance. Additionally, the book thoroughly discusses international experiences in decision-making automation in the smart economy, with examples from Armenia, Kyrgyzstan, and other Central Asian countries, demonstrating its empirical value. The book reveals advanced organizational-economic models for decision-making based on big data and AI. It also presents the latest trends in the development of the smart economy using big data and AI. Moreover, the book explains the socio-ecological and legal aspects of the ethics in applying big data and AI technologies. Additionally, the book proposes prospective applied solutions for decision-making in the smart economy based on big data and AI. The target audience of the book includes scientists studying big data and AI.

ISBN: 9783031786860

Standard No.: 10.1007/978-3-031-78686-0doiSubjects--Topical Terms:

752376
Decision making
--Data processing.

LC Class. No.: D30.23

Dewey Class. No.: 658.403028557

Big data and artificial intelligence for decision-making in the smart economy
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520 $a This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the "black box" of decision-making automation in the smart economy through these technologies. The book clarifies the role and significance of big data and AI in decision-making within the smart economy, highlighting its fundamental importance. Additionally, the book thoroughly discusses international experiences in decision-making automation in the smart economy, with examples from Armenia, Kyrgyzstan, and other Central Asian countries, demonstrating its empirical value. The book reveals advanced organizational-economic models for decision-making based on big data and AI. It also presents the latest trends in the development of the smart economy using big data and AI. Moreover, the book explains the socio-ecological and legal aspects of the ethics in applying big data and AI technologies. Additionally, the book proposes prospective applied solutions for decision-making in the smart economy based on big data and AI. The target audience of the book includes scientists studying big data and AI.
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