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Cognitive Computing for Risk Management / edited by Sasmita Rani Samanta, Pradeep Kumar Mallick, Prasant Kumar Pattnaik, Jnyana Ranjan Mohanty, Zdzislaw Polkowski

Material type: materialTypeLabelE-bookSeries: (EAI/Springer Innovations in Communication and Computing, 2522-8609).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XVI, 156 páginas) : 14 ilustraciones, 8 ilustraciones a color.ISBN: 9783030745172.Subject: Soft ComputingOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.S63 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.09012502
Total holds: 0

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.

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