Truist Bank filed 1 patent application in H1 2026, focused on AI & Machine Learning (1).
The filing describes technology for re-engaging video game players by analyzing gameplay data alongside real-world banking and resource information. This AI & Machine Learning approach aims to predict when players are likely to stop playing and prevent churn through targeted interventions.
In the AI & Machine Learning space, 1 patent from Truist Bank describes a player churn prediction system that draws from two distinct data sources rather than relying on gameplay information alone. The system combines behavioral signals from within a game, such as how long players spend in sessions and how often they return, with financial transaction data pulled from a partner banking or resource application. Feeding both streams into the same model allows the system to generate predictions about player disengagement that would not be possible using either data source in isolation.
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