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Jozi and Nairobi here
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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
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There is sooo much that D&A is helping with.
Wearable tech to track player performance which can help with on the fly tweaking of strategy. Injury tracking and player health as well.
From fans perspective, tracking engagement on the socials and figuring out strategies for advertising and marketing.
I may not have covered everything but there is certainly a lot more happening with the help of D&A.
Even the stadium is tracking device usage.
Dynamic pricing strategies for tickets and merchandise use data analytics, taking into account demand, seat location, and even weather forecasts.