Fraud costs banks billions every year. Traditional detection systems – based on rigid rules – catch some suspicious activity but often fail against smarter schemes.
We researched how financial institutions are shifting to data science for fraud detection, gathering case studies, numbers, and expert perspectives.
For this piece, we spoke with Igor Izraylevych, CEO of S-PRO. With years of experience leading AI and analytics projects for finance, Igor highlights how modern data science goes beyond static rules and why business success depends on strong data pipelines as much as clever models. [Read more…] about How Data Science Transforms Fraud Detection in Banking