Buch, Englisch, 192 Seiten, Format (B × H): 156 mm x 234 mm
AI Applications in Modern Insurance
Buch, Englisch, 192 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-01677-9
Verlag: Taylor & Francis
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.
Zielgruppe
Academic, Postgraduate, Professional Practice & Development, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
Weitere Infos & Material
Preface. Acknowledgements. AI Fundamentals: Machine Learning and Big Data. Risk Assessment and Underwriting with AI. AI-Driven Diagnostic and Decision Making. Predictive Analytics for Customer Behavior in AI Insurance. AI in Property and Casualty Insurance. Navigating Obstacles in AI Integration: Challenges Facing the Insurance Sector. Financial Fraud Mitigation Through Advanced AI: Leveraging GANS, XAI, and DL–A 2025 Outlook. Challenges and Barriers to AI Adoption. Index.




