Apparatuses and methods for identifying and disseminating information pertaining to issues in networks and systems utilizing machine learning and artificial intelligence

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• mapping a plurality of alarms associated with a communication system to a topology of the communication system to identify a plurality of correlated events;
• utilizing a key-value pair to represent common correlated events included in the plurality of correlated events, resulting in a modified plurality of correlated events;
• identifying a root cause of an issue in the communication system based on the modified plurality of correlated events;
• identifying a solution to the issue based on the identifying of the root cause;
• and
• implementing the solution.

A method, comprising:

• obtaining, by a processing system including a processor, a plurality of alarms associated with a network, the plurality of alarms including a first alarm generated by a first device and a second alarm generated by a second device;
• analyzing, by the processing system, the plurality of alarms in accordance with a topology of the network to identify a plurality of correlated events;
• utilizing, by the processing system, a key-value pair to represent common correlated events included in the plurality of correlated events, resulting in a modified plurality of correlated events;
• applying, by the processing system, a model to the modified plurality of correlated events to identify a source of an issue in the network, the model being based on a use of machine learning, artificial intelligence, or a combination thereof;
• and
• addressing, by the processing system, the issue via a solution.