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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
What is a data lake in basic terms?
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I think it’s rare unless you’re in a product management function within big 4. There is some overlap in skill sets ofc, but it’s hard to pivot to PM when you’re competing against people with tech PM experience. Tech PM work motions are pretty different than consulting.
Unless you’re going for start ups that may be more willing to take a chance on newbie PMs.
Data/Analytics people move into Product Management quite a bit. You will spend a significant amount of time in product owner roles at some point in your career.