Winning the Silent Tug of War: How to Strike the Balance between AI and Rules

Financial Institutions rely on either a rules-based or AI machine learning model-based approach to manage their fraud strategy, but the optimal solution is arguably a combination of both.

In this webinar we’ll explore how machine learning models adapt to known fraud patterns, and how rules are necessary to effectively optimize the application of the model outcomes. Understanding emerging fraud threats, changing customer behavior and fraud policy performance leads to a better customer experience and higher fraud detection.

Join Outseer’s Colm Coughlan and Graeme Bullock as they share:

• How rules alone do not provide the agility to detect emerging fraud threats and changing customer behaviors
• Why machine learning models are a necessity, especially when paired with the pin-point accuracy and intelligent application of rules to effectively distinguish the nefarious from the good
• How Behavioral Biometrics can enhance decisions when applied correctly
• The role of analytics in building rules and monitoring performance
• Where the opportunities lie to realize more revenue, find more fraud, and reduce costs