Machine Learning Fights Financial Crime

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, watch the joint webinar presented by BigML and our expert partner on the matter, INFORM GmbH. The video presents how to detect fraud using a Hybrid AI strategy. The webinar showcases 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.