Isbn: 9781032751344 - artificial intelligence and actuarial science: applications and case studies from finance and insurance (8 resultados)

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Paperback. Condición: Brand New. 238 pages. 6.14x0.54x9.21 inches. In Stock.

Condición: New. Dr. Sonal Trivedi is an assistant professor at VIT Bhopal University, India. She has more than 12 years of teaching experience. She has published two books in national publications and has two edited books with international publishers i.

Taschenbuch. Condición: Neu. Neuware - This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes.This book:¿ Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformation with emerging technologies¿ Offers deployment solutions for different applications of AI in actuarial work¿ Discusses how organizations can effectively incorporate AI into their current practices of actuarial work¿ Covers diverse emerging technologies, practices, and processes of actuaries from around the globe¿ Elaborates upon a framework for comprehending how big data and AI developments may affect insurance offers and their supervision¿ Explains how insurance companies may review and modify their current Risk Management Framework (RMF) to take into account some of the significant differences while implementing AI use casesThis reference book is for scholars, researchers and professionals interested in Artificial Intelligence and Actuarial Science.…

Paperback. Condición: new. Paperback. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes.This book: Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformation with emerging technologies Offers deployment solutions for different applications of AI in actuarial work Discusses how organizations can effectively incorporate AI into their current practices of actuarial work Covers diverse emerging technologies, practices, and processes of actuaries from around the globe Elaborates upon a framework for comprehending how big data and AI developments may affect insurance offers and their supervision Explains how insurance companies may review and modify their current Risk Management Framework (RMF) to take into account some of the significant differences while implementing AI use casesThis reference book is for scholars, researchers and professionals interested in Artificial Intelligence and Actuarial Science. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in Actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring solvency, governance, compliance, data processes, etc. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes.This book: Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformation with emerging technologies Offers deployment solutions for different applications of AI in actuarial work Discusses how organizations can effectively incorporate AI into their current practices of actuarial work Covers diverse emerging technologies, practices, and processes of actuaries from around the globe Elaborates upon a framework for comprehending how big data and AI developments may affect insurance offers and their supervision Explains how insurance companies may review and modify their current Risk Management Framework (RMF) to take into account some of the significant differences while implementing AI use casesThis reference book is for scholars, researchers and professionals interested in Artificial Intelligence and Actuarial Science. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in Actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring solvency, governance, compliance, data processes, etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes.This book: Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformation with emerging technologies Offers deployment solutions for different applications of AI in actuarial work Discusses how organizations can effectively incorporate AI into their current practices of actuarial work Covers diverse emerging technologies, practices, and processes of actuaries from around the globe Elaborates upon a framework for comprehending how big data and AI developments may affect insurance offers and their supervision Explains how insurance companies may review and modify their current Risk Management Framework (RMF) to take into account some of the significant differences while implementing AI use casesThis reference book is for scholars, researchers and professionals interested in Artificial Intelligence and Actuarial Science. This book aims to explore how to automate, innovate, design, and deploy emerging technologies in Actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring solvency, governance, compliance, data processes, etc. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…