|| AI-Driven Service Assurance - Use Cases to improve Customer & Network Experience ||
AI is fundamentally transforming service assurance across industries, especially for telecom. With wide range of offering by AI-driven solutions for predictive maintenance, automated incident management, network optimization, and more, telecom companies are able to provide more reliable, efficient, and personalized services. From my recent assignment, I am sharing some Service Assurance - Use Cases.
AI plays a crucial role in 5G by providing advanced analytics and decision-making capabilities along with recommendations / RCA (root cause analysis).
Machine learning (ML) algorithms analyze vast amounts of network data in real-time to identify patterns, predict network behavior, and make intelligent adjustments.
AI enables proactive and autonomous network management, helps in rapid response to changing conditions and improving overall network & user efficiency.
Benefits from one of my assignment for 1 Zone NOC/SOC setup:-
- Network optimization becomes more efficient (i.e. by 37%)
- Better utilization of resources (i.e. by 47%)
- Reduced OPEX costs (i.e. by 11%)
- Improved user experiences. (Complaint TTs for NW reduce by 3K)
- Faster turnaround time & Improved MTTR due to Automatic fault detection and correction. (Manual TT for correction reduce by 11K)
Image:: AI-Driven Service Assurance - Use Cases from one of my assignment for 1 Zone NOC/SOC setup.
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