Introducing Amazon SageMaker Studio – the first integrated development environment (IDE) for machine learning

You can easily login to Amazon SageMaker Studio using the single sign-on enabled by AWS SSO. You can then use the Amazon SageMaker Autopilot to automatically generate models from your data, or spin-up the new SageMaker Notebooks (currently in preview) in seconds to start building your ML models and algorithms. Collaborating on notebooks with your peers is easy in SageMaker Studio. With a single click, you can share a link to a snapshot of your notebook that is captured with all its dependencies and configurations to reproduce your analysis and results. As you start experimenting with various model parameters and inputs, you can use the SageMaker Studio's visual interface for Amazon SageMaker Experiments to easily browse, track and compare your machine learning experiments, helping you keep track of incremental improvements and best models.