Skip to Content

Building a Platform for Fraud Detection Leveraging Artificial Intelligence

May 19, 2022
1:00 pm EDT
Presented by Red Hat
Register Now Registration takes place at a third-party website.

About This Webinar

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


Marc Mangus

Global Solution Architect, Healthcare

Red Hat

Marc brings 30 years of experience in Product Management, Software Development and Systems Architecture. Prior to Red Hat, Marc served as a Product Manager/Product Owner at Anthem where he led one of the largest clinical application development projects for the company. Marc has led the product teams at several startup and early stage companies including serving as CPO for Elva, a wearable…

Learn more about Marc Mangus

John Edwards

VP of Healthcare Solutions & Domain Consulting

SoftServe, Inc.

John Edwards leads the consultation, planning, and delivery of payer and provider healthcare technology solutions for SoftServe’s Healthcare & Life Science vertical. His career has included management consulting roles predominantly focused on building multi-year roadmaps of data warehousing, analytics, and big data products for healthcare clients. John gained technology operations…

Learn more about John Edwards