AI-Powered Insurance (eBook)

Exploring New Frontiers
Artikelnummer: 978-1-040-69310-0
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2026
Seitenangabe186 S.
AusgabekennzeichenEnglisch
Abbildungen11 schwarz-weiße und 8 farbige Abbildungen, 1 schwarz-weiße Fotos, 10 schwarz-weiße und 8 farbige Zeichnungen, 22 schwarz-weiße Tabellen
Masse5'221 KB
PlattformEPUB
AutorSingh, Gulbir (Hrsg.) / Dubey, Om Prakash (Hrsg.) / Mezura-Montes, Efrén (Hrsg.)

Über den Autor Gulbir (Hrsg.) Singh

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.

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