Impact predictions based on incident-related data
US11711275B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2021 |
| Grant date | Jul 25, 2023 |
| Priority date | — |
| Expiry date | Aug 27, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/08
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The disclosure herein describes predicting potential impact of issues reported in incident ticket data on infrastructure element. A ticket manager component includes an impact model utilizing machine learning to analyze real-time event and metric data with incident-related data to generate predicted impact data. The predicted impact data identifies potentially impacted infrastructure elements, such as, potentially impacted users, predicted infrastructure components impacted by the issue and/or an updated time-period associated with the issue. The ticket manager component creates labeled incident tickets by updating user-generated incident tickets with additional data generated by the impact model, including predicted impact data and/or additional details associated with the issue. The labeled incident tickets are provided back to the model as training data to further refine predictions generated by the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.