How Two Immigrant Scientists Cracked Fintech Fraud with Unsupervised AI

How Two Immigrant Scientists Cracked Fintech Fraud with Unsupervised AI

In the ever-evolving landscape of financial technology, where innovation and security must coexist, DataVisor emerges as a beacon of hope against the rising tide of sophisticated fraud. Founded by two brilliant scientists, Yinglian Xie and Fang Yu, DataVisor has carved a niche for itself by deploying cutting-edge unsupervised machine learning to detect and prevent financial scams. Their journey, marked by academic excellence and entrepreneurial grit, underscores the transformative power of technology in safeguarding the digital economy. The narrative begins in 2006, a pivotal year for Yinglian Xie, who, after completing her Ph.D. at Carnegie Mellon University, sought the ideal environment to further her research on internet security threats. Her focus was on identifying potential vulnerabilities by analyzing correlations between seemingly unrelated events—a concept that would later become the cornerstone of DataVisor's technology. Her search led her to Microsoft Research's Sili…