AI for Telecom

AI-Driven Assurance

 

From data to decisions: use Polystar’s software solutions to apply AI / machine learning to your telecommunications data to transform operations and drive smarter, faster outcomes.

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Measurable Impact for Telecom Operators, Made Possible by AI

At Polystar, we specialize in applying artificial intelligence and machine learning to your operations data to transform assurance into a predictive, intelligent, and automated capability. This helps our customers in the telecom industry reduce costs, resolve issues faster, and enhance customer experience. At the same time, it enables new revenue streams, supports innovation, and converts complex network data into actionable insights that drive business growth.

Automating Telecom Operations with AI-Driven Intelligence

AI-driven intelligence empowers operators to move from reactive operations to predictive, proactive, and highly autonomous network management. Our telecom customers use AI for the following use cases:

Service Quality Prediction

Anticipate network and service issues before they impact customers, enabling proactive actions that protect experience and SLA performance.

Proactive Monitoring

Continuously detect anomalies in real time, allowing operators to identify and resolve issues early - before they escalate into service disruptions.

 

Assisted Root Cause Analysis

Leverage AI to quickly pinpoint the underlying cause of complex network issues, reducing troubleshooting time and accelerating resolution.

Problem Summarization

Automatically distill complex incidents into clear, actionable summaries, helping teams understand, prioritize, and respond faster.

 

More about Polystar Telecom Solutions

Automated Assurance – Supported by AI and Machine Learning

Our AI/ML-powered Unified Assurance product suite is redefining telecom operations by unifying intelligence, automation, and assurance into one cohesive solution, enabling autonomous network operations. At Polystar, we have natively built AI and automation into network operations, combining product-embedded and centralized AI/ML capabilities and ready-to-deploy use cases, with open integration of third-party technologies. Built on a strong data foundation, this approach turns insights into actions - and actions into measurable outcomes - delivering scalable, AI-powered operations that drive efficiency, service quality, and competitive advantage.

Polystar's Automated Assurance is supported by AI and ML - illustration of Polystar's solution architechture

Our Customer Success Stories

Read Testimonials from Customers in the Telecom Industry

Timos Tsokanis
Group Chief Information Technology Officer

"Our direction is clear. By unifying key analytics systems onto a single platform, we are creating a strong foundation for insight-driven decision-making across both fixed and mobile networks. This approach allows us to support the specific needs of our operating companies while scaling advanced analytics and AI use cases in a structured and consistent way. Our collaboration with Polystar of Elisa Industriq reflects a shared focus on performance, operational excellence, and delivering better outcomes for our customers.”

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MasOrange

MasOrange has selected Polystart o deliver a unified analytics and network probe solution across its newly combined mobile network.

A key differentiator was the new AI Anomaly Detection module in Kalix Analytics. With real network data demos, it identified affected users during service disruptions and enabled coordinated, targeted response actions. Compared to manual processes, the AI-driven approach improves speed, accuracy, and the ability to act proactively to protect CX.

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Rainer Deutschmann
Group Chief Operating Officer at Telia Company

“Data, analytics, and artificial intelligence are central to our digital transformation. As we digitize and automate our operations, we extend our partnership with Polystar to run our IT and networks even more efficiently. We leverage real-time and vast amounts of data from all relevant sources to improve detection, resolution, and prevention of incidents, ultimately to further improve service quality for our customers.”

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Péter Fekete
CEO of 4iG Group

"Providing the best possible service experience, built on the most advanced technology, is a top priority for 4iG Group’s telecommunications companies in Hungary and the Western Balkans, for both residential and business customers. Our cooperation with Polystar marks a milestone, raising the quality of our networks and further strengthening our customer-focused operations. We are confident that implementing the new system will create a more stable, transparent, and future-proof network for our Hungarian subsidiary, One Hungary”

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AI Use Cases Serving Our Customers

– Powered by Polystar’s Unified Assurance products
Data Readiness for AI in Telecommunications - get support from Polystar

Data Readiness for AI

Modernize your data foundation to power real-time AI and automation

Our solution streamlines data movement and Kalix DataOps processes to efficiently extract, transform, and load your data into high-performance pipelines - enabling cross-domain analytics, automation, and AI at scale.

Read more Data Readiness for AI
AI-Powered Anomaly Detection for Kalix Analytics

AI-Powered Anomaly Detection

Turn Every Anomaly into Actionable Insight

Our AI/ML application of Kalix Analytics continuously learns expected performance patterns and flags meaningful deviations - helping you detect potential service disruptions earlier, reduce false alarms, and protect customer experience.

Read more AI-Powered Anomaly Detection
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AI for Autonomous Operations in Telecom: Insights & Resources

Ready to go deeper? Explore our AI resource center for telecom - featuring videos, blogs, webinars, and expert insights from industry analysts. 

Insights to Read Insights to Watch

AI for Telecom Operations - Insights to Read

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AI/ML in Telecom - Insights to Watch

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FAQ - AI and ML for Autonomous Telecom Operations

  • AI-driven assurance in telecom uses machine learning and advanced analytics to monitor network performance, predict issues, and automate operations. By transforming raw network data into actionable insights, it enables operators to move from reactive troubleshooting to proactive, predictive network management - improving service quality, efficiency, and customer experience.

  • AI improves telecom performance by continuously analyzing network data to detect anomalies, predict service issues, and optimize resource allocation. This allows operators to resolve problems before they impact customers, reduce downtime, and maintain consistent service quality across both mobile and fixed networks.

  • Key AI use cases in telecom include anomaly detection, service quality prediction, RAN monitoring, root cause analysis, and network capacity forecasting. These capabilities help operators identify issues earlier, automate troubleshooting, and make data-driven decisions that enhance performance and operational efficiency.

  • Data readiness is essential for AI success in telecom, as accurate and real-time insights depend on high-quality, well-structured data. Modern data platforms and Kalix DataOps processes ensure efficient data collection, transformation, and integration - enabling scalable analytics, automation, and AI-driven decision-making across network domains.

  • Operators turn AI insights into business value by embedding AI into daily operations -enabling proactive issue resolution, automated workflows, and smarter planning. This reduces operational costs, improves customer experience, and supports new revenue opportunities through more reliable and efficient network services.

Are you ready to turn AI into measurable telecom impact?

See how Polystar can help you apply AI to improve network performance, automate operations, and enhance customer experience.

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