Machine Learning Fights Financial Crime
Detecting Fraud with Hybrid AI: Moving from Lab to ProductionOn Wednesday, October 28, 2020 at 8:00 AM PDT / 4:00 PM CET
Financial institutions must innovate to stop the onslaught of fraudulent transactions. The utilization of Machine Learning as a tool for fraud detection is trending. Combining Machine Learning with existing intelligent and dynamic rule sets produces a sustainable strategy to address this challenge. Hybrid Artificial Intelligence takes historical transactional data and learns from past decisions using both supervised and unsupervised learning algorithms and combines it with knowledge-based methods such as mixed logic rule sets, fuzzy logic scorecards, and dynamic profiling. Financial institutions and professionals can benefit from this powerful combination which detects new modus operandi in a digital environment.
If you want to learn more about this topic, we invite you to join the free, live webinar on Wednesday, October 28, 2020 at 8:00 AM PDT / 4:00 PM CET. BigML and our expert partner on the matter, INFORM GmbH, will jointly present how to detect fraud using a Hybrid AI strategy. The webinar will showcase the RiskShield Machine Learning solution, a world-class risk assessment, fraud prevention, and Anti-Money Laundering (AML) compliance monitoring solution built on top of the BigML platform to protect your organization against financial crime.