AI Adoption: Factors Agencies Should Consider Webinar
Dates: Dec. 5, 2:00 PM EST
Location: Virtual
Register: https://goto.webcasts.com/starthere.jsp?ei=1735344&tp_key=8c89d6e001&sti=tndr
Learning Objectives:
- Identify ways to adapt tools that identify fraud in your agency’s unique programs, from healthcare to survivor’s benefits to food assistance
- Outline the criteria for evaluating the different forms of AI (machine learning (ML), generative, agentic, etc.) to determine which type best suits your agency’s requirements
- Delineate the role of predictive models to identify data anomalies for further evaluation
Speakers:
Kurt Steege, ThunderCat Technology CTO, ksteege@thundercattech.com
Tom Wriggins, SAS Sr. Manager – Global Lead Health Care Fraud, Risk and Compliance
Bill Pratt, FedInsider Moderator & Contributing Editor