AI in Action: Why Predictive Operations Are the Future of Telecom Reliability

As networks grow more complex and U.S. broadband and video service providers face mounting pressure to deliver stable, high-quality service while navigating modernization, we are all looking at the one critical ally in this transformation: Artificial Intelligence.

AI in Action: Why Predictive Operations Are the Future of Telecom Reliability

May 15, 2025
As networks grow more complex and U.S. broadband and video service providers face mounting pressure to deliver stable, high-quality service while navigating modernization, we are all looking at the one critical ally in this transformation: Artificial Intelligence.
According to recent surveys from analysts like Omdia, over 90% of telecom operators are already using AI in somecapacity—and for good reason. The operational and customer experienceimprovements are measurable, and in many cases, game-changing.

Predict Before It Breaks:
Proactive Network Management

Historically, network operations have been reactive; something breaks, and then it's fixed.
But AI-powered predictive analytics is flipping that model.

Today’s machine learning tools can analyze vast telemetry data streams to detect anomalies, spot deteriorating fiber strands, or forecast bandwidth congestion—all before customers experience an issue.

  • A 2024 industry survey found that 37% of telcos are now investing in AI for predictive maintenance and automated fault management.
  • By leveraging AI, some providers have already cut outage incidents and reduced truck rolls, thanks to earlier detection of issues like antenna misalignment or signal degradation.

Smarter Customer Experiences, Powered by AI

Beyond the network, AI is revolutionizing the customer front line. From chatbots that resolve inquiries in real time, to AI-assisted call centers that proactively address known service issues, the telecom industry is rapidly embracing generative AI and intelligent assistants.

In NVIDIA’s Stateof AI in Telecom 2024 report:
  • 57% of operators said     they’re using generative AI to boost customer service quality and response time.
  • 49% are deploying AI to improve personalization and care.
  • Many are also leveraging AI to predict why customers are calling, reducing call volume and improving satisfaction.

AI’s Expanding Footprint in Operations

AI’s use in telecom isn’t limited to chatbots or predictive maintenance. Operators are scaling AI across a wide array of functions, see latest data publicly available (May 2025).

% of Operators implementing per Use Case (2024)

Network optimization (SONs) 48%

Threat detection & security 42%

Predictive maintenance 37%

Field operations automation 34%

AI-powered network design 40%

Nearly 40% of telcos now plan to scale AI across six or more functions—a sign that thisis not just a trend, but a fundamental shift in how networks will be run.

What This Means for Operators

AI isn’t a magicwand—but it is a force multiplier. In combination with expert engineering and system knowledge, AI enables:

  • Lower operational costs (via automation and  fewer outages)
  • Higher network uptime and customer satisfaction
  • More scalable, resilient service delivery

The future of telecom operations is intelligent, predictive, and efficient. Whether through real-time diagnostics, intelligent fault management, or personalized user experiences, AI is rapidly becoming a core component of network resilience.

At Mavsotech, we see AI as a critical enabler—not a replacement. We believe in augmenting current engineering expertise with automation that’s smart, adaptable, and operator-ready.

If you would like to deep dive and talk to us about how your team can stay ahead of the curve—not by overhauling what works, but by enhancing it with smart, scalable AI, Book a no-pressure strategy call with Mavsotech.

We’ll share insights, ideas, and explore how AIand engineering expertise can unlock real value for your customers

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