aiqbench analysis

The piece is brief, but its core subject is machine learning applied to fraud detection in banking, so ML is central rather than incidental. For AI readers, the practical questions are how the models are trained on transaction data, how false positives are managed, and how performance is measured. The content gives none of these details, so treat the piece as a pointer to the topic rather than evidence of results.