Build an explainable next-best-product recommendation system for banking on AWS
AWS presents a multi-tower neural network NBP recommendation system with per-customer explainability for banking.
AWS describes an architectural pattern for a Next-Best-Product recommendation system using SageMaker AI and PyTorch, targeting financial services use cases with heterogeneous customer data. The system uses attention mechanisms to provide per-customer explainability, addressing a gap in traditional rule-based and collaborative filtering approaches. This is a vendor how-to post rather than a meaningful industry signal.