Artificial Intelligence and Actuarial Science : Applications and Case Studies from Finance and Insurance (Hardcover)

Section A Introduction?1. Evolutions of Actuarial Systems in the Insurance Industry & challenges in the existing system?Section B Application of AI?2. Experts Opinion on Generative AI: Adoption and Challenges in Actuarial Science?3. AI: A revolutionary tool for actuarial work in insurance?4. Explainability AI: A Key Driver for Enhanced Quality of Service in Actuarial Practices?5. Explainability of AI in improving the Quality of Service in the Actuarial Industry?6. AI Transformation of the Insurance Industry: A Systematic Review of Progress and Possibilities?7. Examining the factors influencing AI adoption in the insurance Industry specifically in actuarial process.?8. Role of Artificial Intelligence (AI) in Insurance Industry: Scope, Benefits, and Adoption Roadmap?9. AI’s role in improving the quality of Insurance services?10. Fuzzy Artificial Intelligence as A Technique to Find Relative Desirability for Automated Insurance Premium Assignment?11. Opportunities and Challenges of Combining Artificial Intelligence Power with the Richness of Healthcare Claims Data?Section C Technological Advancement?12. Implementing Machine Learning in Actuarial Practice: Real World Applications and Insight??13. Telematics System in Usage Based Motor Insurance?14. Secured and Scalable: Integrating Blockchain Solutions for Health Insurance Claim Using Client Support Chatbot Automation?Section D Conclusion?15. Law and AI-Powered Actuarial Revolution: Navigating the Future of Insurance Risk Assessment?16. Charting the Future: Artificial Intelligence’s Role in Revolutionizing Actuarial Work in Insurance Sector

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