Fintech.

Transaction foundation models: transformer embeddings for tabular financial data

A transaction foundation model learns from large volumes of tabular financial data to produce transformer embeddings of individual transaction rows. Fed as features into existing ML models, those embeddings raise accuracy and cut false positives on fraud detection, authorization and risk scoring.