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Thank you all for your patience. I do appreciate it. It turns out having a side project while running multiple proposals is a trifle challenging. That said. I’m posting a first subset of the rawish data. In all close to 500 people took the survey, but a majority were from the Big Four. Here is the data from Deloitte, EY, KPMG, and PWC. Insights to come! https://docs.google.com/spreadsheets/u/0/d/1lN6JrxQfvA_MC4XFZ38G0ppQkBuxRv9mf88Y8NE2X2U/htmlview
Deloitte Deloitte India Deloitte USI

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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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