Systems and methods for managing, distributing and deploying a recursive decisioning system based on continuously updating machine learning models
US12393878B2 · kind B2 · utility
0Cited by
2References
21Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | May 23, 2024 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | May 23, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2193
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates generally to the generation and deployment of a machine learning-enabled decision engine (MLDE). The MLDE includes decision options that are composed of a discrete list of selectable options. Further, the MLDE includes data inputs that can be used to influence decisions made by the machine learning models of the MLDE. Controls are applied to the MLDE to overlay and bound the decisioning within guidelines established by an operator of the MLDE. Once the MLDE is established, the MLDE is validated and deployed for use by software applications to make decisions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.