Artificial Intelligence and Actuarial Science
portes grátis
Artificial Intelligence and Actuarial Science
Applications and Case Studies from Finance and Insurance
Nallakaruppan, M. K.; Sivakumar, Nithya Rekha; Trivedi, Sonal; Balusamy, Balamurugan
Taylor & Francis Ltd
12/2024
256
Dura
9781032751337
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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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Explainable AI;Process automation;Solvency monitoring;governance;compliance;data processes;Machine learning;telematics system;AI- enabled Claim processing software;Big Data and Algorithms;AI-enabled risk management tools
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
