AI-Powered Insurance

Exploring New Frontiers
1. Auflage 2026
ISBN: 978-1-041-04239-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 186 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 444 g

AI-Powered Insurance is a comprehensive exploration of how Artificial Intelligence is revolutionizing the global insurance industry. This book brings together cutting-edge research and real-world case studies, covering AI's transformative impact across underwriting, risk management, customer experience, and policy personalization. It examines emerging technologies, ethical challenges, and security concerns while analyzing machine learning applications in insurance policy evaluation. From automation versus human expertise to bibliometric research trends, the book offers diverse perspectives from leading experts. An essential resource for researchers, practitioners, and policymakers, it charts the future of intelligent, data-driven insurance in an increasingly digital world.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Singh, Gulbir

Dubey, Om Prakash

Mezura-Montes, Efrén

Fachgebiete

• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Technik Allgemein Erfindungen und Erfinder 
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Foreword. Preface.  Introduction to AI in Insurance & Transforming Insurance. The Dawn of AI in Insurance: A New Era Begins. Visualizing the Global Research Trends of Artificial Intelligence in Insurance: A Bibliometric Review. Revolutionizing Insurance: A Deep Dive into AI Integration. Analysis of Different Insurance Policies Using Machine Learning Algorithms. Artificial Intelligence in Insurance: Unlocking Personalized Policies for the Modern Consumer. Impact of Artificial Intelligence (AI) Based Personalized Insurance Solutions on Consumer Satisfaction in India. Transforming Customer Experience with AI: Innovations, Impacts, and Future Prospects. AI’s Impact on the Future of Insurance Jobs: Automation vs. Human Expertise. AI-powered Insurance: Navigating the Future of Risk Management. Future Trends and Innovations in AI: Powered Insurance. Index.

Über Autor(innen)

Dr. Gulbir Singh serves as an Assistant Professor in Department of Computer Science and Engineering at Graphic Era Hill University, Haldwani, and Research Coordinator for the School of Computing. He mentors students and faculty while advancing research in Precision Agriculture. His work integrates UAVs, IoT, AI, and Machine Learning to develop intelligent systems for real-time crop monitoring, data analysis, and decision-making, aiming to enhance agricultural productivity, optimize resource utilization, and promote sustainable smart farming practices.

Dr. Om Prakash Dubey is Head of the Mathematics Department at J.J. College, Bihar, with over 19 years of teaching experience across reputed institutions. He holds a Ph.D. from Ranchi University and specializes in Optimization, Evolutionary Algorithms, and Mathematical Modeling. A prolific researcher, he has published more than 35 papers, authored books, holds a copyright registered with Government of India, and serves as President of the Council of Ancient Mathematical and Scientific Research, India.

Prof. Efrén Mezura-Montes heads the Artificial Intelligence Research Institute at the University of Veracruz, Mexico. He specializes in bio-inspired algorithms for complex optimization problems, with more than 200 publications and over 10,600 Google Scholar citations. He serves as Associate Editor for multiple IEEE journals and holds memberships in prestigious bodies including the Mexican Academy of Sciences and IEEE Computational Intelligence Society. He is also founder of the IEEE task force on Nature-Inspired Constrained Optimization.