Amazon SageMaker brings together a broad set of capabilities purpose-built for ML, putting ML in the hands of every data scientist and developer. As the most comprehensive ML service available, Amazon SageMaker accelerates innovation for every step of model development, including labeling, data preparation, feature engineering, statistical bias detection, AutoML, training, hosting, explainability, monitoring, and workflows. To help companies get started quickly and achieve rapid results, Amazon SageMaker offers the first integrated development environment (IDE) for ML and a number of powerful pre-built solutions. 

Amazon SageMaker can be used with Amazon HealthLake, a HIPAA-eligible service offering healthcare and life sciences companies to securely store, transform, query, and analyze health data in minutes. For example, you could build a ML model in Amazon SageMaker with data stored in Amazon HealthLake and turn it into a lightweight application for visualization and interpretability.