In machine learning (ML), features are key data signals used to train models and used by models to make predictions. There are many advantages to maintaining a single source of truth for these features. In this session, learn about Amazon SageMaker Feature Store, a new, groundbreaking feature store for ML, serving features for both real-time and batch applications. Using SageMaker Feature Store, you can securely store, discover, and share features so you don’t need to recreate the same features for different ML applications. See a demonstration of how SageMaker Feature Store provides a consistent set of features so you get the exact same features for your models, helping training and inference.

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