US 12,470,955 B2
Automated AI/ML event management system
Jia Wang, Basking Ridge, NJ (US); Amit Kumar Sheoran, Raritan, NJ (US); Xiaofeng Shi, Somerville, NJ (US); Matthew Osinski, Westfield, NJ (US); and Chen Qian, Scotts Valley, CA (US)
Assigned to AT&T Intellectual Property I, L.P., Atlanta, GA (US); and The Regents of the University of California, Santa Cruz, CA (US)
Filed by AT&T Intellectual Property I, L.P., Atlanta, GA (US); and The Regents of the University of California, Santa Cruz, CA (US)
Filed on Sep. 30, 2022, as Appl. No. 17/957,956.
Prior Publication US 2024/0114362 A1, Apr. 4, 2024
Int. Cl. H04W 24/04 (2009.01); G06N 5/022 (2023.01)
CPC H04W 24/04 (2013.01) [G06N 5/022 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A device, comprising:
a processing system including a processor; and
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
identifying, by a machine learning model, an external event causing a service degradation in a cellular network, wherein the external event occurs externally to the cellular network;
identifying affected network elements, the affected network elements predicted to experience a failure due to the external event;
categorizing the external event according to one or more event categories;
identifying an affected customer, the affected customer predicted to be affected by the external event, wherein the affected customer is categorized according to at least one of the one or more event categories, wherein the identifying an affected customer comprises:
identifying an event category to which the external event is assigned, wherein the event categories comprise one or more of a weather event, a power outage or a vehicle crash, and
identifying the affected customer based on assignment of the affected customer to a same category of the one or more event categories;
identifying, by the machine learning model, proper resources for resolution of the failure of the affected network elements; and
dispatching the proper resources to resolve the failure of the affected network elements.