Don’t Democratize Data Science

I do agree, that any auto ml tool, cannot know what is the correct data sources for a specific use case, nor does it know the business case value of a specific model.

Auto ML should not replace humans, but work with them. I.e. it is a tool.

This tool can do the following:

1. Auto visualization.

2 Auto feature engineering.

3. Auto backtesting.

4. Auto training (with cost optimization).

5. Hyperparameter optimization.

6. Auto model packaging.

7. Autoload testing and auto security testing.

7. Auto deploy / scale / SLA.

8. Auto monitor.

The goal of AutoML is to save time and reduce risk. I am not sure why you want to do all of the above manually.