Invention Publication
- Patent Title: PREDICTIVE ZERO-TOUCH NETWORK AND SYSTEMS RECONCILIATION USING ARTIFICIAL INTELLIGENCE AND/OR MACHINE LEARNING
-
Application No.: US17964510Application Date: 2022-10-12
-
Publication No.: US20240129201A1Publication Date: 2024-04-18
- Inventor: Subrat Patra , Abdulla Udaipurwala
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: H04L41/147
- IPC: H04L41/147 ; H04L9/40 ; H04L41/12

Abstract:
Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.
Public/Granted literature
Information query