Machine Learning-Driven Data Integration: Revolutionizing Customer Insights in Retail and Insurance
Keywords:
Machine Learning, Data IntegrationAbstract
ML in data integration alters retail and insurance consumer insights. This study examines how ML-driven data integration may affect consumer engagement and understanding. The study merges data sources using ML algorithms to increase accuracy, predictive analytics, and user experiences.
ML has improved retail and insurance data processing and analysis, where consumer insights matter. Supervised, unsupervised, and reinforcement learning can understand complex datasets. The algorithms improve segmentation, consumer behavior prediction, targeted marketing, and risk assessment.
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