What do you like best about the product?

They developed top-quality open source tools, including the H2O-3 and AutoML families. I do not have a license for their Driverless AI, but my experience with it through tutorials and other demos has been superb. I should mention that their efforts to develop frameworks for ML interpretability are spot on, and their learning center is shaping up as a valuable resource to the community in general. The interfaces with R and Python enable a smooth transition of pre-existing workflows into the H2O framework.

What do you dislike about the product?

Somewhat cryptic debugging msgs in H2O-3. They support specific packages for manipulating data (data.table in R, datataable in Python) for the sake of speed and big data maneuverability, although many users may find this limiting. Driverless AI may not be affordable to the small fish in the pond.

What problems is the product solving and how is that benefiting you?

I have mostly used their AutoML to build quick ML/AI prototype solutions in different domains.

Recommendations to others considering the product:

One should leverage all the resources available to test their products before buying.