Invention Grant
- Patent Title: Automatically correlating phenomena detected in machine generated data to a tracked information technology change
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Application No.: US17099501Application Date: 2020-11-16
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Publication No.: US11886276B2Publication Date: 2024-01-30
- Inventor: Yaron Lehmann , Dror Mann , Gabby Menahem
- Applicant: ServiceNow, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: ServiceNow, Inc.
- Current Assignee: ServiceNow, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06N20/00 ; G06Q10/0635

Abstract:
A specification of an information technology change is received via an information technology service management system. The specification of the information technology change is analyzed to determine features of the information technology change. Machine-generated data is analyzed to identify a phenomena detected in the machine-generated data. To a machine learning model, the features of the information technology change and features of the detected phenomena in the machine-generated data are provided to determine a correlation between the information technology change and the detected phenomena in the machine-generated data.
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