Tuesday, June 23, 2020 | 11 a.m. ET

Crossing the AI Chasm in AML/CFT

The COVID-19 crisis has accelerated the digital transformation plans across financial institutions to provide customers with a frictionless experience. This calls for adjustments in the current AML/CFT program framework to account for new patterns of criminal behavior and better address emerging money laundering risks. With the banking ecosystem redefined, many banks agree that artificial intelligence (AI) can help build an agile AML system resilient to market and regulatory changes, but for some, deploying AI is complicated, unknown, and more expensive than it might seem.

Join Aite Group senior analyst Colin Whitmore and former head of AML risk management at State Street Sean O'Malley as they debunk the myths surrounding AI implementation in the AML programs and help: 

  • Achieve scale and quicker time-to-value for AML compliance systems
  • Improve AML detection and risk coverage with generalized AI models
  • Move away from Blackbox AI to Glassbox AI
  • Adapt to changing market conditions with a self-learning framework


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