Here you can configure general settings and perform other actions for the workflow, including changing the name, description, deleting a workflow, deploying the workflow and uploading more training data.

Until now you have been modeling the workflow by importing a dataset, defining input fields, cleaning the data, adding models, training models, and labeling samples. Here, the can deploy a workflow, which means creating a production workflow ready to process more data. There is also the option of creating a Dashboard (Analytics) associated with the deployed workflow in order to see and analyze the processed data.

If you make further changes in your cleaning filters, splitting and models, you will have to re-deploy your workflow in order to reflect those changes in the production workflow.