Item: IBM Watson Studio on Cloud Pak for Data
Rating: 1
Author: Dr. George Ng

Use Cases and Deployment Scope

I used to teach with Watson Studio, but not anymore. It is inconsistent in many ways it breaks and when I ask for help, no one seems to be bothered.

When I do get a response, it doesn't solve my problems. IBM needs to get it's act together or risk losing out.

Pros and Cons

Good UI
Easy of use
Incorporates both Python and R

Could be more holistic
Have a look at Microsoft Studio, it's well integrated
Not very well thought out

Return on Investment

No coding data science for my students
Good alternative platform to MS studio ML
Good beginner's first contact with data science

Alternatives Considered

AWS Sagemaker is new, and I personally think it's better than sliced bread. There's very little set up to do. Watson Studio needs to up its game against Sagemaker.

Other Software Used

AWS Lambda, Microsoft Azure, Tableau Desktop

Likelihood to Recommend

Abundant use cases in the community section are very helpful.
Using R and Python interfaces on the same platform has great flexibility.
Drop down menus are great! Nothing needs changing there!
Apache Spark connection seems to be unstable.
The H2o package in R is erratic.
Apache spark in R could use some documentation - solid documentation.

I used to swear by IBM DSX

Overall Satisfaction with Watson Studio (formerly IBM Data Science Experience)