Bank of America Corporation

Shawn Parris Bench

Eren Kursun

Craig Douglas Widmann

Scott Anderson Sims

Dharmender Kumar Satija

Andrew DongHo Kim

Kolt Bell

The invention describes a system and method employing machine learning and artificial intelligence engines to monitor data streams in real-time across multiple channels in order to detect anomalies and generate prioritized alerts. In particular, the invention may continuously collect data across multiple channels. The obtained data may be compared with reference data to continuously update a confidence level associated with the user, channel, entity, or other identifying factor. The invention may detect any inconsistencies in the data collected over time and generate an alert to the user in question and potentially to other downstream users or entities. In this way, the invention not only provides a way to detect anomalies in a cross-channel fashion, but also creates a mechanism for feedback wherein the system may incorporate user feedback to resolve alerts and detected anomalies.

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Wilmington, DE, United States of America

Shawn Parris Bench