Extend model lineage to include ML features using Amazon SageMaker Feature Store

Feature engineering is expensive and time-consuming, which may lead you to adopt a feature store for managing features across teams and models. Unfortunately, machine learning (ML) lineage solutions have yet to adapt to this new concept of feature management. To achieve the full benefits of a feature store by enabling feature reuse, you need to be able to answer fundamental questions about features. For example, how were these features built? What models are using these features?