The popular advice is simple: choose a stronger model, add more features, and let the score decide. That advice breaks down quickly in production. A fraud model can perform impressively on a benchmark while investigators drown in alerts, legitimate customers abandon...
For a long time, analytics in the banking industry was a sleepy, back-office function focused on reporting what already happened. Not anymore. Today, it’s the core engine driving every critical decision, turning raw transactional data into the intelligence behind...
