Managing fraud, waste, and abuse (FWA) is a hot topic across the health care industry. As a major driver of costs, and with the recent guidance issued by the Centers for Medicare & Medicaid Services (CMS), health care organizations must evaluate and prioritize a solution. Many organizations are leveraging artificial intelligence and machine learning (AI/ML) as a part of the solution, and when executed correctly, are able to adapt quickly to other healthcare business use cases. In this webinar, experts will share considerations in building a solution to detect and correct FWA from concept to production.

Attendees Will Learn About

• Fully leveraging data as an asset in the organization
• Applying AI-powered, actionable insights to uncover and investigate suspicious activity
• Predicting scenarios that are likely to result in FWA and providing specific oversights to minimize cost
• Scaling and automating AI/ML workloads
• The value of an open-source approach: Building a cloud-native, reusable platform for AI/ML workloads

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Artificial Intelligence AI & Machine Learning

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