DUAL ARTIFICIAL INTELLIGENCE SYSTEM FOR REAL-TIME BENCHMARKING AND PREDICTIVE MODELING
摘要:
Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to provide real-time benchmarking of an entity account. As such, the system allows for use of a machine learning engine to collect information from a plurality of sources and predict future account behavior associated with said sources. A single third party entity may lack enough historical data for accurate predictive modeling. By collecting data associated with a plurality of third party entities, the system may more accurately identify data trends and generate predictions of future account behavior. Thus, the system may benefit a number of entities, by providing real-time data analysis that would not be obtainable by any one entity operating alone.
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