Marketing professionals mess up good models “after” they’re built. (That happens a lot.)
Big Data, Small Data, Clean Data, Messy Data
Many organizations put unreasonable expectations on data scientists. Their job descriptions require a superhuman.
The first step in analytics should be “formulating a question,” not data-crunching.
There are so many ways to mess up data or analytics projects, may they be CDP or whatever sounds cool these days.
Users are quickly realizing that investing in AI is not the end of the road.
I find more and more people use the term “machine learning” when they really mean to say “modeling.”