Driverless AI Workflow

A typical Driverless AI workflow is to:

1. Load data.
2. Run an experiment.
3. Interpret the model.
4. Run the scoring pipeline.
5. Deploy the model.

In addition, you can diagnose a model, transform another dataset, score the model against another dataset, and manage your data in Projects.

The image below describes a typical workflow.