With global e-commerce transactions projected to exceed $8.9 trillion by 2026, fraud rates have surged by 21.3% year-over-year, presenting a critical challenge for digital commerce ecosystems. This session explores the transformative role of machine learning (ML) in detecting and mitigating e-commerce fraud, offering a data-driven roadmap for future resilience. Traditional rule-based systems...
Discover how cloud-native AI, real-time ML, and Bayesian networks slash fraud losses, boost accuracy to 95.2%, and cut false positives by 47%! Join us to explore scalable, AI-driven fraud prevention that keeps transactions fast & secure
Learn for free, join the best tech learning community for a price of a pumpkin latte.
Event notifications, weekly newsletter
Delayed access to all content
Immediate access to Keynotes & Panels
Access to Circle community platform
Immediate access to all content
Courses, quizes & certificates
Community chats