Machine-learning and deep-learning techniques for predictive ticketing in information technology systems
US11416325B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 10, 2020 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Aug 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.