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Are there RPA use cases in data work?
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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Automated reconciliation of record counts & $ amount between source & target
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You can crunch a bunch of summary stats on a subset super quickly and check them against a viable range. Computing the percentiles will take longer, so if this is online data ingestion and you have an SLA on speed, you can run the percentiles as a batch process on the side and only update that lookup at whatever that interval.