TY - BOOK AU - Samanta,Sasmita Rani AU - Mallick,Pradeep Kumar AU - Pattnaik,Prasant Kumar AU - Mohanty,Jnyana Ranjan AU - Polkowski,Zdzislaw ED - SpringerLink (Online service) TI - Cognitive Computing for Risk Management T2 - EAI/Springer Innovations in Communication and Computing, SN - 9783030745172 AV - QA76.9.S63 PY - 2022/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Telecommunication KW - Signal processing KW - Computer networks  KW - Communications Engineering, Networks KW - Signal, Speech and Image Processing KW - Computer Communication Networks KW - Risk management -- Data processing KW - Soft computing N1 - 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 N2 - 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 UR - https://doi.org/10.1007/978-3-030-74517-2 ER -