Item: IBM Watson Studio on Cloud Pak for Data
Rating: 9
Author: Verified User

Overall Satisfaction with IBM Data Science Experience (DSx)

Use Cases and Deployment Scope

My organisation uses IBM Data Science Experience (DSx) as part of a neural networks series of projects to learn about new tools and trends and to create valuable insights. It was mostly used to implement simple machine learning models.

Pros and Cons

Pros

Powerful set of tools that are the initial foundation for data science
The ability to use open-source languages
Provides a space for you to collect and share notebooks, connect to data sources, and add datasets all in one place

Cons

I'd like to see a bit more done around security and version control
I'd like to see a bit more done around Machine Learning
Possibly provide contributors communication tools in the same environment

Alternatives Considered

DSX performed almost 2.5 times faster than Microsoft's free Jupyter Notebook service on their Azure platform.

Other Software Used

RStudio, Google Cloud AI

Likelihood to Recommend

It is a great a start for data science especially if familiar with Microsoft Azure Machine Learning or SAS Visual Analytics. Probably not ideal for Excel users.

Comments

Please log in to join the conversation

DSx Review