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.

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.&nbsp;

How machine learning reduces false positives in AML

The Buzz podcast covering current trends and intriguing topics in automation and beyond courtesy of FinAi News, the definitive source for insights and news surrounding automation in financial services.

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How machine learning reduces false positives in AML

How machine learning reduces false positives in AML