Smarter Investigations With Enhanced Analytics

Originally offered November 6, 2018

Duration: 60 minutes

CPE Credit: 1 

Description: Because of evolving financial crimes, you are busier than ever. Without the right tools or knowing what needs more attention can keep you constantly behind. Can you quickly determine which alerts are worth further investigation? Should you file a suspicious activity report? How easy is it to document and translate your findings? These are all important questions that can be addressed with the right technology and analytics.  

This webinar will demonstrate how data analytics, specifically machine learning and artificial intelligence (AI) techniques, can help you work through investigations efficiently and effectively. You will learn several examples of applied analytics in the field of investigative work in multiple industries.                                                           

Field of Study: Specialized Knowledge 

Course Level: Basic

Prerequisite: None

Advanced Preparation: None 

Delivery Format: Group Internet Based 

You Will Learn How To:

  • Determine advanced analytics and machine learning techniques.
  • Compare the differences between automation and surveillance, and why that is important.
  • Apply text analytics and classification techniques that can play an important role in the investigation process. 
  • Discover a white box approach and how it leads to more efficient investigations.


Speaker:

Mike Ames                                      
Senior Director, Data Science & Emerging Technology            
SAS

Mike Ames leads the data science group for SAS' Fraud and Security Intelligence practice. Ames started the group in 2011 with three Ph.D. statisticians and a graduate intern, and was initially focused on the company's in-memory technologies and integration with Hadoop. Today the group has grown more than five-fold, and includes a global research and development team focused on new and emerging technology. His group’s current areas of focus include real-time surveillance and investigation tools for fraud detection and compliance monitoring. Ames holds a BBA in economics and did his graduate work in computer science at the University of Georgia. He earned an MBA from the University of North Carolina, Chapel Hill.


Sponsored by SAS   



SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 65,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power To Know.
SAS.com 

Information you provide during the registration of this webinar will be provided to the sponsor, SAS, and may be used to send you information, special offers or promotions from SAS.