Build an explainable next-best-product recommendation system for banking on AWS

Short summary

AWS details an architecture for an explainable next-best-product recommendation system tailored to banking, using Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention provides per-customer recommendations while meeting banking regulators' explainability requirements. The post covers key design decisions for balancing accuracy with interpretability.

• •Multi-tower neural network with attention for banking recommendations
• •Built on Amazon SageMaker AI and PyTorch
• •Designed to satisfy banking regulator explainability requirements

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