CPC H04L 41/16 (2013.01) [G06F 16/907 (2019.01); G06F 18/2148 (2023.01); G06F 18/23 (2023.01); G06F 18/24155 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06Q 10/06393 (2013.01); H04L 41/0631 (2013.01); H04L 41/5009 (2013.01); H04L 43/0817 (2013.01); H04L 43/0823 (2013.01); H04L 65/1073 (2013.01); H04L 65/1104 (2022.05); H04L 65/65 (2022.05); H04M 3/5175 (2013.01); H04W 24/02 (2013.01); H04W 24/04 (2013.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01)] | 18 Claims |
1. A non-transitory machine readable medium having stored thereon instructions for performing a method comprising machine executable code which when executed by at least one machine, causes the machine to:
receive protocol event data from a plurality of probes within a telecommunication system;
determine a multi-protocol Key Performance Indicator (KPI) of a call event from the protocol event data;
apply the multi-protocol KPI to a trained machine learning algorithm that includes the multi-protocol KPI as the trained machine learning algorithm's input and a telecommunication system score as the trained machine learning algorithm's output; and
in response to an output score from the trained machine learning algorithm, perform a corrective action for a plurality of network users that are expected to be affected by the multi- protocol KPI, the corrective action including determining a most probable cause for the multi- protocol KPI, using the most probable cause as a key to search through call records to identify the plurality of network users, and sending a short message service (SMS) message to the plurality of network users, the SMS message indicating the most probable cause or an action to take.
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