From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems
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AI in predictive maintenance
From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems
AI in predictive maintenance
- [Instructor] What's more expensive than a network outage? The one you didn't see coming. Traditional maintenance reacts, whereas predictive maintenance prevents. And with AI, it's just not smarter. It's faster, cheaper, and more precise. Let's take a look at why predictive maintenance matters in telecom. So there are challenges in telecom, which we face. For example, reactive approach always leads to service disruptions. Then there is high operational cost due to unplanned failures. We see increased downtime, which can affect customer experience, and the patch takes a lot of time to implement. If you bring AI to all of this, we can have better forecast of the failures, we can better manage issues, as well as maintenance cycles can be optimized and patch management can significantly reduced. Let's see how it actually works. So there are different components to the AI. We use time-series forecasting, which can analyze historical trends to predict failures. Then we see anomaly…
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