Transforming Risk
Description
Transforming Risk: AI Applications in Modern Insurance explores how artificial intelligence is revolutionizing the insurance industry. The book examines AI-driven innovations in risk assessment, underwriting, fraud detection, and claims management. By integrating big data analytics, machine learning, and predictive modeling, insurers can make faster, more accurate decisions while enhancing customer experience. It also addresses ethical considerations, regulatory challenges, and the future role of human expertise in an AI-powered landscape. Case studies illustrate real-world applications, from personalized policy pricing to proactive risk prevention. This insightful guide is essential for insurance professionals, technology leaders, and policymakers navigating the evolving digital insurance ecosystem.
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Person
Dr. Hamed Taherdoost is an award-winning researcher, educator, and industry consultant with over 20 years of international experience across academia and the private sector. He has served as a professor and R&D leader in institutions across North America, Europe, Southeast Asia, Oceania, and the Middle East, and has consulted for organizations in various industries worldwide. Dr. Taherdoost is the author of more than 20 books on topics including digital transformation, e-business, and R&D management. With over 400 publications, his work is widely adopted and respected for its impact on innovation, research methodology, and emerging technologies.
Content
Preface. Acknowledgements. 1. AI Fundamentals: Machine Learning and Big Data. 2. Risk Assessment and Underwriting with AI. 3. AI-Driven Diagnostic and Decision Making. 4. Predictive Analytics for Customer Behavior in AI Insurance. 5. AI in Property and Casualty Insurance. 6. Navigating Obstacles in AI Integration: Challenges Facing the Insurance Sector. 7. Financial Fraud Mitigation Through Advanced AI: Leveraging GANS, XAI, and DL-A 2025 Outlook. 8. Challenges and Barriers to AI Adoption. Index.
