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Cognitive computing for risk management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitive computing for risk managementedited by Sasmita Rani Samanta ... [et al.].
其他作者:	Samanta, Sasmita Rani.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvi, 156 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Soft computing.
電子資源:	https://doi.org/10.1007/978-3-030-74517-2
ISBN:	9783030745172$q(electronic bk.)

Cognitive computing for risk management
Cognitive computing for risk management[electronic resource] /edited by Sasmita Rani Samanta ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 156 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- Cognitive Management -- Applications of Cognitive Computing for risk management -- Managing organizational mind by cognitive management -- Cognitive Managerial Approach towards Employee Participation in Management -- Role of Cognitive Computing in Business and Management -- The cognitive approach to Entrepreneurship -- Empowering the Internet of Things using Cognitive Management Framework -- Social Cognitive Theory in Multidisciplinary research -- Convergence of Cognitive Management and Cognitive Computing in the information society context -- Cognitive Computing and Knowledge Management -- Conclusion.

This book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making. The book provides insights on how cognitive management and cognitive computing enable businesses to quickly augment human intelligence and help humans perform tasks better. For example, the authors describe how by analyzing patterns in big data, small data, and "dark data," cognitive technologies can detect human behavior and suggest options for personalizing of products and services. The book studies companies in industries such as automotive, airline, health care, retail, wealth management, and litigation who have adopted these approaches. Presents applications of cognitive computing and cognitive management used in augmenting and empowering business decisions; Shows how to employ the Internet of Things in businesses using a cognitive management framework; Discusses technical aspects and alternatives to traditional tools, algorithms, and methodologies in cognitive computing.

ISBN: 9783030745172$q(electronic bk.)

Standard No.: 10.1007/978-3-030-74517-2doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

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505 0 $a Introduction -- Cognitive Management -- Applications of Cognitive Computing for risk management -- Managing organizational mind by cognitive management -- Cognitive Managerial Approach towards Employee Participation in Management -- Role of Cognitive Computing in Business and Management -- The cognitive approach to Entrepreneurship -- Empowering the Internet of Things using Cognitive Management Framework -- Social Cognitive Theory in Multidisciplinary research -- Convergence of Cognitive Management and Cognitive Computing in the information society context -- Cognitive Computing and Knowledge Management -- Conclusion.
520 $a This book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making. The book provides insights on how cognitive management and cognitive computing enable businesses to quickly augment human intelligence and help humans perform tasks better. For example, the authors describe how by analyzing patterns in big data, small data, and "dark data," cognitive technologies can detect human behavior and suggest options for personalizing of products and services. The book studies companies in industries such as automotive, airline, health care, retail, wealth management, and litigation who have adopted these approaches. Presents applications of cognitive computing and cognitive management used in augmenting and empowering business decisions; Shows how to employ the Internet of Things in businesses using a cognitive management framework; Discusses technical aspects and alternatives to traditional tools, algorithms, and methodologies in cognitive computing.
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