Invention Grant
- Patent Title: Utilizing machine learning models to determine customer care actions for telecommunications network providers
-
Application No.: US17094664Application Date: 2020-11-10
-
Publication No.: US11722380B2Publication Date: 2023-08-08
- Inventor: Thomas Fiumara , Marta Castrigno , Luigi Tripputi , Marco Grigoletti , Jessica Gobetti
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: H04L41/16
- IPC: H04L41/16 ; H04L41/5067 ; G06N20/00 ; H04L43/062 ; G06F21/62 ; G06F18/214

Abstract:
In some implementations, a device may receive, from a monitoring device, telecommunications data associated with a telecommunications network. The device may train a plurality of machine learning models with the telecommunications data to generate a plurality of trained machine learning models. The device may generate accuracy scores for the plurality of trained machine learning models based on training the plurality of machine learning models. The device may select an optimum machine learning model based on several indicators, such as the accuracy, precision, and/or the like. The device may provide the optimum machine learning model to the monitoring device associated with the telecommunications network. The optimum machine learning model may cause the monitoring device to process real time telecommunications data of the telecommunications network, with the optimum machine learning model, to determine a customer care action, and may cause the customer care action to be implemented in the telecommunications network.
Public/Granted literature
Information query