US Patent Issued to C3.ai on Oct. 27 for "Systems and methods for utilizing machine learning to identify non-technical loss" (California, Pennsylvania Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,452, issued on Oct. 27, was assigned to C3.ai Inc. (Redwood City, Calif.).

"Systems and methods for utilizing machine learning to identify non-technical loss" was invented by Thomas M. Siebel (Woodside, Calif.), Edward Y. Abbo (Woodside, Calif.), Houman Behzadi (San Francisco), Avid Boustani (Redwood City, Calif.), Nikhil Krishnan (Los Altos, Calif.), Kuenley Chiu (San Francisco), Henrik Ohlsson (San Francisco), Louis Poirier (San Francisco) and Jeremy Kolter (Pittsburgh).

According to the abstract* released by the U.S. Patent & Trademark Office: "Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to s...