Item: IBM Watson Studio on Cloud Pak for Data
Rating: 8
Author: Gonzalo Angeleri

Use Cases and Deployment Scope

My organisation uses IBM Data Science Experience (DSx) as part of a customer experience solution to build machine learning models to calculate several customer metrics as future value and churn.

Pros and Cons

Visual Environment to develop models
The ability to use R-Studio on the web
The ability to use SPSS models

Working with large files take time to upload
I would be great to have a place to exchange models and examples with other users

Return on Investment

Improve time to market for solutions that use machine learning models
Faster development
Increase collaboration

Alternatives Considered

Although we also use Azure ML services we prefer DSX because of SPSS integration.

Other Software Used

Microsoft Azure Machine Learning Workbench, IBM Watson Analytics, MicroStrategy Analytics

Likelihood to Recommend

Data science users or developers who need to design and build machine learning models.
Also, I find DSX a very good tool to help with collaboration between different teams.

DSX Review - Customer Loyalty Models

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