Challenges
The Data Challenge Holding Back Modern Telecom Networks
Telecom networks are becoming more dynamic, disaggregated, and software-driven as CSPs adopt open architectures, cloud-native platforms, and advanced 5G services. At the same time, operational teams must support increasing scale, velocity, and service complexity with limited resources.
Many AIOps initiatives fail because they rely on incomplete, low-fidelity telemetry and siloed data sources that lack context, accuracy, and timeliness. Without a reliable source of truth, AI and automation models struggle to deliver actionable insight, resulting in reactive operations, slower resolution times, and inconsistent customer experience.
To succeed, CSPs need an AIOps foundation built on high-quality, real-time data that reflects actual network behavior.
Outcomes That Matter
Optimize Subscriber Experience While Enabling Innovation
Improved Subscriber Experience
Correlate service performance and network behavior to proactively manage quality of experience.
Automated Service Chain Operations
Enable closed-loop automation across complex service chains using AI-ready observability data.
Advanced Network Quality Analytics
Support for Self-Optimizing Networks
Provide the data foundation required for autonomous and self-healing network evolution.
Enable Monetization and Personalization
NETSCOUT’s Solution and How It Delivers Value
From Packets to AI-Ready Intelligence
NETSCOUT strategically deploys observability at critical network vantage points to capture real-time packet data across applications, subscribers, infrastructure, latency, and throughput.
Using deep packet inspection and advanced analytics, NETSCOUT transforms raw traffic into highly curated, AI-ready datasets. These datasets are organized into reusable playbooks and delivered in time-sensitive formats optimized for analytics platforms, data lakes, and streaming pipelines.
By providing the right data at the right time, NETSCOUT enables CSPs to resolve issues in minutes instead of days, automate operational workflows, and support continuous evolution toward intelligent, autonomous networks.
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TrueCall
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Omnis RAN
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Industry Excellence
Trusted by the Largest Service Providers Across the World
Resources
FAQs
Frequently Asked Questions
How does NETSCOUT support AIOps initiatives in telecom networks?
NETSCOUT supports AIOps by providing high-fidelity, packet-derived data that enables accurate analytics, machine learning, and automation across telecom operations.
Why is packet-based data critical for AIOps?
Packet data reflects actual network behavior and provides complete, unbiased visibility that telemetry and logs alone cannot deliver, making it essential for reliable AI outcomes.
How does NETSCOUT improve MTTR with AIOps?
By reducing mean time to knowledge through real-time, context-rich observability, enabling faster root-cause identification and automated response.
Can NETSCOUT support cross-functional teams?
Yes. NETSCOUT delivers a shared observability foundation that supports NetOps, SecOps, and AIOps teams with consistent data and insights.
