ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,936, issued on Nov. 3, was assigned to ACCENTURE GLOBAL SOLUTIONS Ltd. (Dublin).

"Scalable and adaptive self-healing based architecture for automated observability of machine learning models" was invented by Denis Ching Sem Leung Pah Hang (Jersey City, N.J.), Ricardo Hector Di Pasquale (Buenos Aires, Argentina) and Atish Shankar Ray (Herndon, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for facilitating an automated observability of a ML model are disclosed. A system may include a processor including a model creator and a monitoring engine. The model creator may generate a configuration artifact based on a pre-defined templa...