Telecommunication system failures prediction through machine learning and artificial intelligence

A telecommunication system comprising a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:

• receiving, at the computer system, data relating to operation of the telecommunication system;
• determining, at the computer system, one or more types of failures and/or faults that the computer system is operable to predict based on the data relating to the operation of the telecommunication system;
• selecting, at the computer system, at least one machine learning model trained to detect and predict faults in the operation of the telecommunications system based on a combination of the data relating to the operation of the telecommunication system, processes history, and objectives;
• obtaining, at the computer system, the at least one machine learning model;
• selecting, at the computer system, computing infrastructure upon which to execute the at least one machine learning model, wherein the selected computing infrastructure comprises a mesh of interconnected micro-applications;
• executing, at the computer system, the at least one machine learning model using the selected computing infrastructure to detect and predict faults in the operation of the telecommunication system;
• and
• generating at least one alert for at least one of the detected and/or predicted faults.

A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer system interconnected with a telecommunications system, to cause the computer system to perform a method comprising:

• receiving, at the computer system, data relating to operation of the telecommunication system;
• determining, at the computer system, one or more types of failures and/or faults that the computer system is operable to predict based on the data relating to the operation of the telecommunication system;
• selecting, at the computer system, at least one machine learning model trained to detect and predict faults in the operation of the telecommunications system based on a combination of the data relating to the operation of the telecommunication system, processes history, and objectives;
• obtaining, at the computer system, the at least one machine learning model;
• selecting, at the computer system, computing infrastructure upon which to execute the at least one machine learning model, wherein the selected computing infrastructure comprises a mesh of interconnected micro-applications;
• executing, at the computer system, the at least one machine learning model using the selected computing infrastructure to detect and predict faults in the operation of the telecommunication system;
• and
• generating at least one alert for at least one of the detected and/or predicted faults.