Click to learn more about author Stuart Tarmy. The volatility of the stock market caused by the pandemic’s economic fallout has led to an incredible surge of trading by both experienced and new investors looking for financial opportunities. This year, these investors drove a second-quarter retail equity trading volume to skyrocket more than 50 percent from the first […]
Byrider Selects PointPredictive as Machine Learning AI Partner to Prevent Fraud
According to a new press release, “PointPredictive Inc., the San Diego-based machine learning company, announced today that Byrider has selected the company’s risk scoring solutions to help them better segment high- and low-risk applications and dealers to improve profitability, expand loan availability and enhance the lending experience for both consumers and dealers. As part of […]
Kount Launches the Next-Generation AI Solution for Payments Fraud Prevention
According to a recent press release, “Kount™, the leading digital fraud prevention company, today announced the next-generation AI-driven solution that changes the way payments fraud prevention is delivered. Kount is the pioneer in using machine learning in transactional fraud prevention, with supervised and unsupervised solutions dating back to the company’s inception over a decade ago. […]
The Third Generation of Graph Databases
The graph database, very simply, is a database that recognizes the “relationships” between data to be as important as the data itself. A graph database is designed to hold data while not limiting it to a pre-established model. The data in such a database shows how each individual entity is connected with or related to […]
Handling Concept Drift in Interventional Machine Learning Systems
Click to learn more about author Peter Baudains. Fraudsters are becoming increasingly ambitious and sophisticated in their financial crime endeavors, and fraudulent activity is becoming harder to differentiate from genuine activity. Losses are being realized in a shorter period, as fraudsters adapt to beat traditional fraud management techniques and strategies. This constant innovation by fraudsters […]
iovation Study Finds 68% of North American Financial Institutions Plan to Invest in Machine Learning
by Angela Guess A recent press release reports, “iovation, the leading provider of device-based consumer authentication and fraud prevention solutions, today released insights from its latest report conducted in partnership with global research and advisory firm Aite Group, ‘Machine Learning: Fraud is Now a Competitive Issue’. The study centers on the progress toward using machine […]
Argyle Data Points to Machine Learning to Solve New Waves of Telco Fraud
by Angela Guess A recent release out of the company reports, “Argyle Data, the leader in big data/machine learning analytics for mobile providers, has highlighted the role of supervised and unsupervised machine learning in detecting and preventing anomalous mobile traffic. The move comes as Argyle Data and Carnegie Mellon University (CMU) Silicon Valley‘s Department of […]
Medicare Has Saved $1.5B with the Help of Predictive Analytics
by Angela Guess Dr. Shantanu Agrawal, Raymond Wedgeworth, and Kelly D. Bowman recently wrote in Modern Healthcare, “Over the past five years, the CMS [Centers for Medicare & Medicaid Services] has successfully implemented a Fraud Prevention System using ‘big data’ and predictive analytics approaches to fight fraud, waste and abuse in the Medicare fee-for-service program. […]