Avanseus Predictive Maintenance SW, multi-vendor and multi Network domain applicable, delivers Customer value leveraging its artificial intelligence powered capabilities:

Fault Predictions:

• daily fault prediction with probability to happen in next i.e. 7 days, with precision and coverage high quality performances
• based on history of faults feeding the AI predictive engine always converging and with optimized processing resource consumption
• automatically and continuously training itself to anticipate Network behaviour changes, without Data Scientist need in Operations

• Customer operational priority policies (i.e. MTTR Reduction, Ticket Reductions, etc) are translated into AI based recommended prioritization identifying Top priority actionable predictions with the greatest positive business impact

Predictive Root Cause Analysis discovery:

• Each prediction is automatically issued with Service IMPACT and Predicted Root Cause Analysis identifying real problems degrading the network performance
• Cross-Domain Correlations, Topology stitching, Fault Clustering and Parent & Child techniques are ensuring in-depth accurate cause identification of potential multiple effect

• Automatically generated, delivering unambiguous actioning, powered by field learning from the closed tickets loop

Avanseus Predictive Maintenance brings overall tangible and commercially field-proven benefits in:

• Field and NOC tickets reductions
• MTTR reduction
• Field travel optimization
• Spare part management optimization
• Network uptime and availability improvement
• Customer care complaint reduction
• Saving from Outage Penalty avoidance