Item: IBM Watson Studio on Cloud Pak for Data
Rating: 6
Author: Sebastian Ferro

Use Cases and Deployment Scope

As an IBM partner, my company is evaluating this product for potential use for our clients. Usually we offer data mining projects in order to meet specifics needs our clients demand. As a example we develop models for risk prediction across many financial organizations.

Pros and Cons

I like very much to have a multitude of tools integrated nicely in one place.
The documentation is ever-growing and a source of continuous new insights. I appreciate the notable curatorial effort.
The tools and services are ever-growing too. The focus on open-source tools and the "no barriers in the middle" is really one of the strongest points in my opinion.

Well, I had issues of performance and responsivity.
As a tool for exploring new ideas and learning new techniques the free plan is limited to very small datasets in order to perform in a reasonable time.
As an example a simple test of Random Forest on a dataset of 100k rows didn't finish in the RStudio provided by Watson whereas it took half an hour in the RStudio installed in my desktop.