> the correct way to think of AutoML is as an enabler that lets you focus more on the data side of things Yes! This is exactly how we are starting to use it an

> the correct way to think of AutoML is as an enabler that lets you focus more on the data side of things Yes! This is exactly how we are starting to use it and it makes a ton of sense. It also allows for very rapid POCs to just flesh out a problem space, then a data scientist can come later and refine.