City Lights - defused

Breakfast Seminar for Insurance Organizations  

Preventing and Investigating Insurance Fraud
Using Machine Learning to Enhance Fraud Detection

Wednesday, July 11 | Marriott Toronto Downtown
525 Bay St, York Room
8:00 am - 10:00 am  

Cost: Complimentary

This exclusive event for insurance organizations will cover next generation trends for fraud detection such as machine learning and network analytics. Join SAS to hear about industry trends and new techniques to help you proactively prevent fraud in a variety of insurance applications.

Presentations and peer discussions will give you an easy to comprehend overview on the application of these important technologies. Learn how your organization will be affected and how you can use these essential tools to:

  • Increase fraud detection through deep analytics and machine learning
  • Reduce false positive, cost per claim and time to payout
  • Prevent internal fraud through approaches like Agent Gaming Prevention by using next generation network analytics
  • Improve the investigation processes with visualization while using limited investigative and audit resources
 

We look forward to seeing you on July 11th. Seats fill up quickly for this exclusive event, so please reserve your spot today.

Speakers:

David Hartley

David Hartly
Director
Global Fraud and Financial Crime Practice, SAS

Dan McKenzie

Dan McKenzie
Principal Solutions Architect
Global Security Intelligence Practice, SAS

Agenda

  
8:00 am - 8:30 amRegistration and Breakfast
8:30 am - 10:00 amUsing Machine Learning & Advanced Analytics to Enhance Fraud Detection
David Hartley
Director, Global Fraud and Financial Crime Practice, SAS  
9:30 am - 10:00 am
Insurance Investigations Leveraging Network Analysis - Demonstration
Dan McKenzie
Principal Solutions Architect, Global Security Intelligence Practice, SAS
10:00 am
Closing                
pointer

Marriott Toronto Downtown

525 Bay St.
Eaton Centre
York Room
Toronto, Ontario, M5G 2L2

Questions
Katherine.Nash@sas.com

Have a SAS profile? To complete this form automatically Sign In

*
*
*
*
 
*
 
 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Back to Top