US Patent Issued to Citibank on June 17 for "Systems and methods for cohort-based predictions in clustered time-series data in order to detect significant rate-of-change events" (Texas, Ohio Inventors)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,395, issued on June 17, was assigned to Citibank N.A. (New York).

"Systems and methods for cohort-based predictions in clustered time-series data in order to detect significant rate-of-change events" was invented by Ernst Wilhelm Spannhake II (Canal Winchester, Ohio), Thomas Francis Gianelle (Colleyville, Texas) and Milan Shah (Plano, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods may use one or more artificial intelligence models that predict an effect of a predicted event on a current state of the system. The systems and methods may use one or more artificial intelligence models that predict an effect and/or occurrence of...