Hybrid Intent-Aware Personalization with Machine Learning and RAG-Enabled Large Language Models for Financial Services Marketing

Researchers developed a hybrid AI architecture combining machine learning and retrieval-augmented generation (RAG) for personalized financial services marketing. The system uses temporal modeling and intent prediction to create compliant, auditable customer communications while improving personalization accuracy.