Personalization in Insurance and Banking Services: AI and ML Applications
Keywords:
Personalization, Insurance, Banking, Artificial Intelligence, Machine Learning, Customer Segmentation, Product Recommendations, Dynamic Pricing, Customer Satisfaction, TechnologyAbstract
Personalization in insurance and banking services has become increasingly vital in today's competitive market. This paper delves into the applications of Artificial Intelligence (AI) and Machine Learning (ML) in tailoring insurance and banking services to individual customers. Through the analysis of AI and ML algorithms, this research explores how these technologies are utilized for customer segmentation, product recommendations, and dynamic pricing strategies. By enhancing customer satisfaction and engagement, personalized services contribute significantly to the success and sustainability of insurance and banking institutions. This paper examines the current landscape of personalization in these sectors, discusses key challenges and opportunities, and proposes recommendations for future research and implementation.
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References
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