Amazon SageMaker Pipelines now provides a drag-and-drop UI to easily create ML workflows

Today, we are excited to announce the general availability of a drag-and-drop user interface (UI) for Amazon SageMaker Pipelines. Data scientists and Machine Learning (ML) engineers can now quickly create an end-to-end AI/ML workflow to train, fine-tune, evaluate, and deploy models without writing code. Customers use Amazon SageMaker Pipelines to automate thousands of ML workflows, […]