Integrating AI, Machine Learning and Robotics into Legacy AFC Systems

  • When: June 3, 2020
  • Time: 12PM – 2PM ET
  • Level: Intermediate to Advanced

Artificial intelligence (AI), machine learning and robotic process automation (RPA) are playing ever-larger roles in anti-financial crime (AFC) programs, but it’s up to knowledgeable compliance professionals to optimize the benefits of tech innovations in areas such as reducing false positives and detecting financial crime networks. This timely webinar provides cutting-edge insights on strategically merging tech-based oversight into legacy AFC systems to heighten operating efficiencies, augment human capital and bolster risk management.

Learning Objectives

  • Assembling internal stakeholders including business lines and IT staff to identify data needs most conducive to AI, machine learning and RPA applications
  • Creating formal integration plans to ensure compatibility of tech- and rules-based oversight systems and pre-empt data quality issues such as algorithmic bias
  • Conducting a post-integration review to confirm data integrity, adherence to risk institutional risk tolerance standards and adjust IT architecture as needed

Who Should Attend

  • Compliance Personnel
  • IT specialists
  • Industry Consultants


  • Global
  • North America
  • Banking
  • Technology


ACAMS Members Non-Members
$245 $445
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  • John Beccia

  • Co-Founder and CEO
  • FS Vector LLC

Imad Habre
  • Imad Habre, CAMS-Audit, CAMS-FCI

  • Head Of Internal Control Unit
  • IBL Bank S.A.L.