Data Science, Past & Future
Domino Data Lab
JULY 22, 2019
One is data quality, cleaning up data, the lack of labelled data. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. I can point to the year 2001. Then also, it was the heyday for data warehousing and BI. You know what? Those are nice problems to have.
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