How machine learning reduces false positives in AML

from The Buzz · host FinAi News

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.

Episode metadata supplied by the publisher feed · Published Jun 23, 2021

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How machine learning reduces false positives in AML

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This episode was published on June 23, 2021.

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