It is no secret that artificial intelligence (AI) and machine learning (ML) technologies can unearth buried “treasure” hidden in volumes of unstructured and structured data, including images. According to McKinsey Global Institute’s research, as of 2030, 70% of companies will implement at least one of five types of AI:  computer vision, natural language, virtual assistants, robotic process automation (RPA), and advanced ML. Government agencies and large enterprises already use AI/ML to detect fraud, waste, and

Fraud, waste, and abuse (FWA) are a pervasive challenge in our society, across both public and private sectors. It is a complex and extensive problem in the healthcare sector that requires innovative, robust solutions that can both mitigate and stay ahead of FWA. The COVID-19 pandemic has only emboldened scammers seeking to defraud healthcare driven government agencies, organizations, programs, and consumers. Recently, the Federal Bureau of Investigation (FBI), Department of