Documented implementation improves fraud detection and metrics in core banking, suggesting effective modernization strategies.
It documents practical architecture patterns, implementation details, anonymized metrics, and reproducible artifacts from multinational core‑banking modernization programs that applied hybrid ML + rules decisioning to reduce migration risk and improve fraud detection and customer outcomes. Included are: an architecture diagram, sample feature definitions, model evaluation summaries, decisioning SLOs, and a short dataset schema (anonymized). The appendix is intended to support reproducibility and provide practitioners with actionable guidance.
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Aggarwal Neeraj (2025) studied this question.
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