System, method, and computer program for preparing a multi-stage framework for artificial intelligence (AI) analysis

A method, comprising:

• defining a first set of monitoring rules used by at least one network entity of a communication network, wherein the first set of monitoring rules cause event log data to be collected with a first level of detail;
• collecting first event log data of first network activity of the communication network based on the first monitoring rules, the first event log data having the first level of detail;
• defining define a first network situation corresponding to the network activity;
• computing a first artificial intelligence (AI) model based on the first event log data having the first level of detail and the first network situation, wherein the first AI model is configured to predict the first network situation from the first event log data with:
• a first confidence level that the first network situation will be correctly predicted, and
• a first lead-time;
• determining that the first confidence level achieves an upper confidence level goal;
• determining that a second AI model with a lead-time longer than the first lead-time is to be computed, as a result of determining that the first confidence level achieves the upper confidence level goal;
• responsive to determining that the second AI model with the lead-time longer than the first lead-time is to be computed, defining a second set of monitoring rules used by the at least one network entity, wherein the second set of monitoring rules cause event log data to be collected with a second level of detail that is lower than the first level of detail;
• collecting second event log data of the first network activity of the communication network based on the second monitoring rules, the second event log data having the second level of detail;
• and
• computing the second AI model based on the second event log data having the second level of detail and the first network situation, wherein the second AI model is configured for detecting the first network situation in the second event log data with:
• a second confidence level that is lower than the first confidence level and that is higher than a minimal predetermined confidence level, and
• a second lead-time that is longer than the first lead-time.

A device, comprising:

• a non-transitory memory storing instructions;
• and
• one or more processors in communication with the non-transitory memory, wherein the one or more processors execute the instructions to:
• define a first set of monitoring rules used by at least one network entity of a communication network, wherein the first set of monitoring rules cause event log data to be collected with a first level of detail;
• collect first event log data of first network activity of the communication network based on the first monitoring rules, the first event log data having the first level of detail;
• define a first network situation corresponding to the network activity;
• compute a first artificial intelligence (AI) model based on the first event log data having the first level of detail and the first network situation wherein the first AI model is configured to predict the first network situation from the first event log data with:
• a first confidence level that the first network situation will be correctly predicted, and
• a first lead-time;
• determine that the first confidence level achieves an upper confidence level goal;
• determine that a second AI model with a lead-time longer than the first lead-time is to be computed, as a result of determining that the first confidence level achieves the upper confidence level goal;
• responsive to determining that the second AI model with the lead-time longer than the first lead-time is to be computed, define a second set of monitoring rules used by the at least one network entity, wherein the second set of monitoring rules cause event log data to be collected with a second level of detail that is lower than the first level of detail;
• collect second event log data of the first network activity of the communication network based on the second monitoring rules, the second event log data having the second level of detail;
• and
• compute the second AI model based on the second event log data having the second level of detail and the first network situation, wherein the second AI model is configured for detecting the first network situation in the second event log data with:
• a second confidence level that is lower than the first confidence level and that is higher than a minimal predetermined confidence level, and
• a second lead-time that is longer than the first lead-time.