This document discusses cases of fraud in healthcare and financial services. It describes how fraud rings operate by taking advantage of thresholds for action, information sharing limitations, and vulnerabilities in processes. Fraud rings often reuse identities and data elements. Two specific cases are summarized: a $200 million credit bust-out scheme in New Jersey that used over 7,000 synthetic identities, and a $63 million Medicare and Medicaid fraud scheme in Florida where therapists fabricated treatment records. The document promotes the use of predictive analytics to detect fraud schemes earlier and reduce losses.