Themes and Conferences per Pacoid, Episode 8
Domino Data Lab
APRIL 3, 2019
The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Most of the data management moved to back-end servers, e.g., databases.
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