ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,386, issued on Sept. 23, was assigned to C3.ai Inc. (Redwood City, Calif.).
"Model-driven data insights for latent topic materiality" was invented by David William Parham (Castro Valley, Calif.), Hang Le Thi Nguyet (Redwood City, Calif.), Robert S. Young (San Francisco), Suvansh Dutta (New York) and Thanaspakorn Niyomkarn (New York).
According to the abstract* released by the U.S. Patent & Trademark Office: "Described herein are machine learning methods and systems for locating and tracking performance of latent themes in changing data from disparate sources. Themes may be indirect goals or consequential impacts indicated by latent topics. Identifying performance indicators of l...