Intelligent automatic orchestration of machine-learning based processing pipeline
US12386637B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 4, 2022 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Nov 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the present invention disclose techniques for orchestrating a complex data processing scheme for an investigative process using a machine-learning based orchestration model that is trained to optimize the use of computing resources based at least in part on a feedback loop. An input data object associated with an investigative process can be selected for investigation; a predictive data analysis sub-routine for processing the input data object can be intelligently selected from a plurality of predictive data analysis sub-routines by the machine-learning based orchestration model; and a processing orchestration action can be initiated based at least in part on an investigative score output by the predictive data analysis sub-routine. The processing orchestration action can include closing the input data object, continuing to process the input data object with additional predictive data analysis sub-routines, or passing the input data object to a predictive entity for further processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.