Regulation and standardization versus the art of data science and AI
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On 25/10, the EluciDATA Lab participated to the Artificial Intelligence session organised by Agoria and Sirris in the framework of the R&S Event 2018, which is the yearly conference organised around regulation and standardization.
In this presentation the Lab highlighted via real world examples that:
- Data science is a creative, exploratory and trial-and-error process
- This doesn't always align well with regulation and standardization
- There are certain areas where regulation and standardization would certainly be beneficial
- However, there are also areas where this might turn out to be very difficult