AutoML in Spotfire® with Amazon SageMaker Autopilot 1.0.0

For data scientists, Amazon SageMaker Autopilot eliminates the heavy lifting of building ML models, and helps them to automatically build, train, and tune the best ML model based on their data.

Spotfire's new SageMaker Autopilot integration brings these same benefits to everyone from within Spotfire. Now, without leaving Spotfire, users can:

• Upload training data, define configurations, and kick off a SageMaker Autopilot job.
• When modeling is complete, Spotfire automatically generates visualizations and model explainability ready for exploration, allowing you to see how well the "BestCandidate" model performed.
• Once you are ready, you can deploy the model on new data in either batch mode or as an endpoint, which is most appropriate for your data.

For a closer look at the Spotfire integration with SageMaker Autopilot:

For more information on Amazon SageMaker Autopilot, click here