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Report SAS - How AI and Machine Learning Are Redefining Anti-Money Laundering

How AI and Machine Learning Are Redefining Anti-Money Laundering

The bad actors are making strong plays. Take every advantage to fight back.

Despite the potential, the financial services industry has been slow to adopt machine learning techniques for AML. This paper explains what machine learning can do, presents five practical use cases and shows how SAS can help.

Report Snap Shot

Artificial intelligence can play a big role in the defense against money laundering for its ability to:

  • Automate tasks that formerly required human intervention, such as disposition of alerts.
  • Detect more risk and effectively prioritize it with sophisticated analytics techniques.
  • Provide richer context for investigations.

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