Aaron Sengstacken

Conversational AI agents can streamline citizen services and improve government operations. Deploying these technologies in the public sector requires careful consideration of ethical, security, and regulatory concerns.

In this builders’ session, discover how to spot improper payments using analytics and machine learning (ML). Rules-based techniques involve many time-consuming, manual steps and are unable to identify improper payments in sophisticated scenarios.

One of the major factors that can affect the accuracy of models is the difference between data used to generate predictions and data used for training. For example, changing economic conditions could drive new interest rates affecting home purchasing predictions.