Data science for risk analytics.
March 16, 2018
Data science for risk analytics.
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Data Science Experience (DSx)
We use IBM Data Science Experience across our organisation for all our data engineering work. We are analysing weather risks and produce pricing and risk analysis in Python. We also use stream analytics through Python and SPL. Watson and machine learning are also of great use for us.
- User experience. Easy, fast and user friendly.
- Access to IBM cloud computing power.
- Access to IBM resources and Watson.
- Would like more samples.
- Developing communities.
- Help to industrialise data science analysis and publish them
- Easy to integrate with other services and create a value added product.
- Easy to produce commercial solution powered by data science experience.