Self-learning automated information technology change risk prediction
US12294503B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2023 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jun 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/015
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments relate to providing self-learning automated information technology change risk prediction. A processor inputs a change request to a first machine learning model, the first machine learning model determining at least one word pair in the change request, the change request being a modification in an IT environment. The processor classifies the at least one word pair into a change category for the IT environment using a second machine learning model, the change category identifying a type of the modification to be executed in the IT environment. The processor determines a likelihood of causing a problem in the IT environment as a result of executing the modification. The processor automatically performs an action to prevent the modification of the change request in the IT environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.