Systems and methods for risk awareness using machine learning techniques
US11816476B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Jan 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training and using a machine-learning based model to reduce and troubleshoot incidents in a system may include receiving first metadata regarding a previous modification, extracting a first feature from the received first metadata, receiving second metadata regarding a previous incident, extracting a second feature from the received second metadata, training the machine-learning based model to learn an association between the previous modification and the previous incident, based on the extracted first feature and the extracted second feature, and using the machine-learning based model to determine a risk level for a proposed modification to a system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.