ATOM: RBC’s proprietary AI Foundation Model for Financial Services

In this research talk, Mohamed Ahmed, Staff Machine Learning Researcher at RBC Borealis, introduces ATOM: RBC's proprietary AI foundation model designed specifically for financial services. This session explores the research behind ATOM's design, including its use of large-scale asynchronous transactional data to model complex client behaviours. Combining domain-specific insights with foundation model techniques, ATOM delivers predictive capabilities across a variety of baking products, channels, and tasks. By harnessing RBC's extensive data ecosystem and commitment to responsible AI, ATOM represents a significant toward generalizable, trustworthy and scaleable machine learning systems for the financial industry.