US Patent Issued on Jan. 20 for "System and method for machine learning driven automated incident prevention for distributed systems" (New York Inventor)

ALEXANDRIA, Va., Jan. 20 -- United States Patent no. 12,531,884, issued on Jan. 20.

"System and method for machine learning driven automated incident prevention for distributed systems" was invented by Xiaohui Gu (Brooklyn, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An unsupervised pattern extraction system and method for extracting incident and root cause patterns from various kinds of machine data such as system-level metric values, system call traces, and semi-structured or free form text log data and performing holistic root cause analysis for distributed systems. The system utilizing Natural Language Processing and machine learning techniques to extract incident and root cause information from ...