Thesis Abstract

Abstract
The adoption of artificial intelligence (AI) technologies has been rapidly transforming various industries, including the insurance sector. This research project aims to analyze the impact of AI on the insurance industry, investigating how AI technologies are reshaping business operations, customer interactions, risk assessment, and overall industry dynamics. The study delves into the opportunities and challenges presented by AI implementation in insurance, exploring how AI-powered solutions are enhancing efficiency, accuracy, and customer experience while also raising important ethical and regulatory considerations. Chapter 1 provides an introduction to the research topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance of the study, structure of the thesis, and key definitions of terms. The literature review in Chapter 2 examines ten key studies and research findings related to AI in the insurance industry, offering insights into current trends, best practices, and potential future directions. Chapter 3 outlines the research methodology, including the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the research approach. The discussion of findings in Chapter 4 presents a detailed analysis of the research results, highlighting the key implications of AI adoption for insurance companies, customers, and industry stakeholders. In conclusion, Chapter 5 provides a summary of the research findings, discusses the implications for the insurance industry, and offers recommendations for future research and industry practice. This thesis contributes to the growing body of knowledge on the impact of AI technologies in the insurance sector, shedding light on the transformative potential of AI while also emphasizing the importance of careful implementation and regulation to harness its benefits effectively.

Thesis Overview