Watson Studio makes product development easy
February 14, 2019

Watson Studio makes product development easy

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

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

We use it to create products to detect diseases from skin images so that the doctors can monitor the progress of the diseases and deliver the best therapy. It is being used by the whole organisation as we are a medical AI company and the use of AI is integral to our product.
  • It is easy to use and I don't need to have a team full of data scientists to use them
  • It is easy to deploy when the models are trained and we don't need to hire many software engineers to take care of deployment
  • It allows us to test different models rapidly and so helps to accelerate the product development process
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
  • It allows rapid product development so that we're able to test concepts and ideas quickly
  • The cost of ownership is high for a small company like ours, and so we talked to a lot of alternatives before deciding
  • I can use software engineers who are not data scientists to develop applications, and this saves some money
If a company is well resourced, I would recommend it as it allows the software developers to build products quickly and test them, on top of the many features available for advanced users to try. If a company is less well resourced, then it may be more challenging and in this case, the total TCO needs to be analyzed.

IBM Watson Studio Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
8
Automatic Data Format Detection
8
MDM Integration
7
Visualization
7
Interactive Data Analysis
7
Interactive Data Cleaning and Enrichment
7
Data Transformations
7
Data Encryption
8
Built-in Processors
8
Multiple Model Development Languages and Tools
8
Automated Machine Learning
7
Single platform for multiple model development
8
Self-Service Model Delivery
8
Flexible Model Publishing Options
8
Security, Governance, and Cost Controls
6