Machine learning systems. While a rules-based system could be considered as having “fixed” intelligence, in contrast, a machine learning system is adaptive and attempts to simulate human ...

Instead, the machine learning results are compared with data sets produced by legacy rules-based systems to validate that the models are accurate. AML/BSA regulators are supportive of this ...

Traditional rule-based systems like whitelisting or blacklisting credit cards from specific regions have limits. They can't adapt to constantly evolving fraud patterns, often supported by emerging ...

The 80:20 rule. A fresh discussion has surfaced suggesting that the answer lies in adopting the 80:20 rule so that we can ensure there is always a human-in-the-loop (HITL) factor.

Machine learning can be applied in a variety of areas, such as in investing, advertising, lending, organizing news, fraud detection, and more. Understanding Machine Learning ...