Google's TabFM skips per-dataset training and still predicts on tables it's never seen
THE SO WHAT
If TabFM delivers on cross-dataset performance, a lot of bespoke tabular ML pipelines turn into prompt engineering plus governance. Data teams should start mapping which forecasting and scoring models could be collapsed into a shared foundation rather than retrained per table.
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