We're hoping to save costs on internal development but keep enough flexibility to choose ML techniques and performance indicators
What is our primary use case?
The idea is to migrate the current model's development practice to another platform. Then after, try to create a proprietary platform using R and Python. The company is interested in using an external platform in order to have an updated environment.
How has it helped my organization?
Still on it. The idea is to save the cost of internal development but keeping enough flexibility to choose ML techniques and performance indicators.
What is most valuable?
What needs improvement?
For how long have I used the solution?
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
Last updated: Feb 14 2019
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