AI-Driven Innovations in the Insurance Sector

Manjunath B R, Munish Sahrawat, B K Kaul

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Hardback

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English

Igi Global Scientific Publishing
10 October 2025

Insurance & actuarial studies; Industry & industrial studies; Artificial intelligence

Artificial intelligence (AI) revolutionizes the insurance sector, driving innovations that reshape how insurers assess risks, process claims, detect fraud, and communicate with customers. From advanced data analytics and machine learning algorithms to chatbots and predictive modeling, AI technologies enhance operational efficiency and enabling more personalized, proactive services. As insurers leverage these tools to gain competitive advantages and streamline decision-making, they navigate challenges related to data privacy and regulatory compliance. This shift reveals a new era in insurance, where digital intelligence plays a role in strategy and service delivery. AI-Driven Innovations in the Insurance Sector delves into the transformative role of AI in reshaping the insurance industry. It examines how these innovations enhance operational workflows, improve risk assessment, streamline claims processing, and elevate customer experiences. This book covers topics such as human resources, chatbots, and risk management, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.

Edited by: Manjunath B R, Munish Sahrawat, B K Kaul
Imprint: Igi Global Scientific Publishing
Dimensions: Height: 254mm, Width: 178mm, Spine: 29mm
Weight: 1.107kg
ISBN: 9798337328225
Pages: 375
Publication Date: 10 October 2025
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Dr. Manjunath B.R. is an accomplished academic and industry professional with over 18 years of blended experience, including 5 years in investment banking and business analytics roles at leading firms such as JP Morgan Chase and Fidelity, and 13 years in academia. His domain expertise lies in applied finance, fintech, blockchain, data science, and financial analytics. He has served as a Technical Consultant for a World Bank project implemented by Ernst & Young under the Government of Bangladesh and has mentored finance students at Australian universities. Currently, he is a Global Visiting Professor at Tecnológico de Monterrey, Mexico, a QS-ranked institution, and has previously held senior academic roles in India, including Director of Academic Affairs and Professor of Finance and Business Analytics at Shoolini University. His research interests include cryptofinance, ESG investing, machine learning applications in finance, and explainable AI. In addition, Dr. Manjunath is a recognized trainer, having conducted professional development programs and workshops on Microsoft Excel, R, Python, and Tableau for academic institutions and industry audiences across India and abroad.