Invention Grant
- Patent Title: Machine-learning and deep-learning techniques for predictive ticketing in information technology systems
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Application No.: US16231645Application Date: 2018-12-24
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Publication No.: US10740692B2Publication Date: 2020-08-11
- Inventor: Dror Mann , Yaron Lehmann , Gabby Menahem
- Applicant: Loom Systems Ltd.
- Applicant Address: US CA Santa Clara
- Assignee: ServiceNow, Inc.
- Current Assignee: ServiceNow, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Fletcher Yoder PC
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06N20/00 ; H04L12/24 ; G06F16/31 ; G06F16/35 ; G06N5/02 ; G06Q30/00 ; G06Q10/00 ; G06F16/332 ; G06Q10/04 ; G06F11/30 ; G06Q10/06

Abstract:
A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.
Public/Granted literature
- US20190132191A1 MACHINE-LEARNING AND DEEP-LEARNING TECHNIQUES FOR PREDICTIVE TICKETING IN INFORMATION TECHNOLOGY SYSTEMS Public/Granted day:2019-05-02
Information query