How machine learning reduces false positives in AML

In this podcast, Hawk AI founder and CEO Tobias Schweiger discusses the use of machine learning to eliminate false positives created by AML rules-based engines while stressing that new technologies should be seen as a supplement — not a replacement — for rules-based detection.

In this podcast, Hawk AI founder and CEO Tobias Schweiger discusses the use of machine learning to eliminate false positives created by AML rules-based engines while stressing that new technologies should be seen as a supplement — not a replacement — for rules-based detection. 

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