As Australia's largest telecommunications company serving 22 million mobile and broadband customers, Telstra faced mounting pressure to improve network reliability amid 5G rollout and intensifying competition. Unplanned outages cost millions in customer credits and regulatory penalties while damaging brand reputation. The company's network operations center struggled to monitor millions of network elements across Australia's vast geography, often reacting to problems only after customer impact.
Telstra deployed AI-powered network health monitoring analyzing telemetry from cell towers, fiber infrastructure, and core network equipment to predict failures 6-48 hours in advance. Machine learning models trained on historical outage data identified degradation patterns invisible to human operators. Integration with field service dispatch enabled proactive maintenance before customers experienced disruption. The AI platform also optimized network capacity allocation, automatically adjusting resources based on predicted demand patterns.
“AI predictive maintenance transformed our network operations from reactive firefighting to proactive reliability engineering. Our customers now experience Australia's most reliable network.”— Chief Operations Officer, Telstra
This case study is based on publicly available information about Telstra.
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