My understanding is that they are trying to automate the data preparation steps that seasoned ML practitioners are doing anyway today.
The fact that he tries this in manufacturing makes the case stronger. In most manufacturing companies you do not have access to top ML talent.
You have Greg who knows python and recently visualized some production metrics.
If we could empower Greg with automated ML libraries that guide him in the data preparation steps in combination with precooked networks like autogluon, then manufacturing could become a huge beneficiary of the ML revolution.
The fact that he tries this in manufacturing makes the case stronger. In most manufacturing companies you do not have access to top ML talent.
You have Greg who knows python and recently visualized some production metrics.
If we could empower Greg with automated ML libraries that guide him in the data preparation steps in combination with precooked networks like autogluon, then manufacturing could become a huge beneficiary of the ML revolution.