My first experience on Watson Studios
November 24, 2020
My first experience on Watson Studios
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Watson Studio (formerly IBM Data Science Experience)
Currently I'm using IBM Watson as part of my Professional development via Coursera. IBM Watson to my knowledge isn't being used by my colleagues. I plan on using it to gather data and analytics to better support my customers. As an example I'm a Logistic Assistance Representative with a specialization in Tactical Radio communications thus if I can analysis the Army equipment readiness data and parts requisitioning backlogs I can better pin-point the average turn around time to assist my supported units and the respective parts managers to increase the parts availability and thus improving their readiness.
- Helpful get started tutorial videos in Watson Studios.
- Lots of notebooks to choose from.
- Github push is a great way to share and collaborate with others.
- I'd like to have more CHU's on the lite version.
- When using Python environment it would be great when I make an error coding that corrective suggestions would be available.
- Being very new it's a learning curve maybe a I'm new to coding tutorial class would help.
- Well I'm just starting thus I can't provide any input yet.
- I would imagine it could provide a positive impact if I data mined and properly presented that visual tool to my stakeholders.
- Negative impact is yet to be determined.
With my experience on Jupyter Notebook I think both are good and currently more comfortable with Watson Studio product. With Jupyter it's open source (free) is always good. "Lots of languages (50), data visualization with Seaborn, work with the building blocks in a flexible and integrated manner • modern JavaScript development: npm-based packaging, typescript, phosphor.js, • clean model/view separation, • well separated public/private APIs, fully extensible by third parties, high performance and Design."