20.5 AI in Telecommunications

AI in telecommunications optimizes networks, predicts equipment failures before they happen (predictive maintenance), forecasts which customers may leave (churn prediction), and powers support chatbots. Telecom operators generate huge volumes of network and usage data, making them a natural fit for machine learning.

A churn-prediction model deciding which subscribers are at risk of leaving.

For an operator like Ethio Telecom, AI can watch traffic across base stations during a holiday rush, automatically shift capacity to congested cells in Addis Ababa, and predict which tower's power unit is about to fail so a crew is sent before customers lose service.

Scenario

Your churn model gives each subscriber a leave-risk score. Retention budget is limited. How should you use the scores?

Check your understanding

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What does 'churn prediction' estimate?