The focus of this webinar is to identify areas in which Machine Learning, Visualization, and Graph technology can increase the accuracy of claims fraud identification by over 11%, and to show how including the ‘Human in the Loop’ can get you ahead of your state’s fraud prevention legislation.
Complexity and Issues in Fraud Prevention: State & Federal Rules
Better Investigation Capability: Demos of ML, Graph, and Human-in-the-Loop
Key AI & ML for Special Investigations and Fraud Prevention Units
How ML techniques and other methods create more accurate claims prevention
