Beginner Guide Review
December 01, 2020
Beginner Guide Review
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Watson Studio (formerly IBM Data Science Experience)
IBM Watson studio is being used to host Juypter Notebooks. These notebooks contains analyses for various projects. The primary project being a ML algorithm that can detect fraud in PPP loans. This is specifically being used in the Engineering department at SJSU. It addresses the problem of users having the capable hardware to run the required software programs, since everything is now cloud based.
- Usability - The Cloud Object Storage is fairly easy to implement with a Juypter Notebook
- Design - After some initial learning curve, it becomes easy to navigate through the site.
- Features - IBM is adding more and more features to their existing architecture.
- Layout - There is a learning curve learning how to navigate the site, it's not as straightforward at it may seem.
- Documentation - There is not that much good documentation available about how to setup various Watson Studio projects (configurations, etc.). Third-party resources provide a set of documentation and guides.
- Bugs - There are some small bugs when using Watson Studio. One issue is when inviting collaborators to a project, depending on which computer you are using and what OS you have as well as your screen size, the invite button is "hidden". The invite button can only be noticed when zooming out far enough.
- Positive - Allowed a quick and thorough analyzes to be completed on PPP loan data.
- Positive - For this price tier, it was well worth the price as the ROI was greater than the cost.
- Negative - The cost for the next tier is a bit pricey, it should only be selected by those departments and projects that absolutely require those services.