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What is a data lake in basic terms?
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
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Yes, but you have to understand that a lot of the previously clueless sales folks have read two blog posts and are all Gen AI experts now.
I think that is not a smart move. We are struggling to find good resources with data engineering experience onshore. Gen AI may be the IT thing, but you’ll still need data engineers to land and integrate data for gen AI to be useful. This is similar to how we dumped all our eggs in data scientists and forgot how big of a part data engineering plays. In my opinion this is very shortsighted.
Don’t assume anyone thought about the full picture, that tends to be where most of my bad assumptions stem.
Deloitte is offshoring a blinding amount of work in this space. There are plenty of extremely talented people available onshore in ML and DE, but nobody wants to staff at onshore rates and erode project margin. In the last several pitches I've been a part of, SM's and PPMD's aren't even proposing any sort of delivery individuals onshore. It's typically one onshore manager and everyone else offshore.