Machine Learning in the Cloud Solves 3 Key AML Problems:

Currently, Financial Service Organizations (FSOs) are facing rapid changes in regulations, criminal typologies, and even their own business products, yet their financial crime detection and analytics remain inflexible. With costs of AML compliance steadily rising, this combination of factors has resulted in major strain on the financial investigation units (FIUs) responsible for identifying suspicious activity and reporting it. Market advisory studies have shown that false-positive rates continue to be as high as 95-97 percent in what has become a defacto standard for the industry.

Join us as we discuss:

• The rising cost of AML compliance due to false-positives, rules and model management
• The need for data science and analytics resources to take full advantage of machine learning
• Incorporating machine learning into the AML model validation framework

Speakers: 

• Ted Sausen | NICE Actimize, Director- AML Subject Matter Expert
  
• Mike Diamond | NICE Actimize, Global Head of Data Solutions