Unlock data democratization and accelerate model development on Amazon SageMaker with privacy preserving Synthetic Data
Data fuels Machine Learning (ML), but privacy constraints often delay access to sensitive real world (original) datasets for weeks or months. MOSTLY AI bridges this gap by providing privacy-safe synthetic data in minutes, enabling ML developers to build and test models in development environments without accessing the sensitive data. This article describes how to use […]
