NETSCOUT Systems Extends Omnis AI Insights to Telecom Service Providers
Netscount said the move allows CSPs to transform raw network data into AI-ready smart data, enabling AI agents to enhance customer experience, enable predictive maintenance, and strengthen network security with improved efficiency, reduced costs, and lower operational risk.
Bengaluru: NETSCOUT Systems has announced the extension of its Omnis AI Insights solution to communications service providers (CSPs), enabling them to build a robust AI-ready data foundation for deploying agentic AI across customer experience and network operations.
The company said the move allows CSPs to transform raw network data into AI-ready smart data, enabling AI agents to enhance customer experience, enable predictive maintenance, and strengthen network security with improved efficiency, reduced costs, and lower operational risk.
Citing a McKinsey & Company C-level survey of telecom operators, the release noted that 64% of respondents are scaling AI initiatives, with AI agents emerging as a key driver. However, 45% identified data challenges as the primary inhibitor to scaling efforts.
Omnis AI Sensor and AI Streamer for Service Providers
NETSCOUT in a statement said its Omnis™ AI Sensor for Service Providers delivers curated, real-time AI-ready smart data across complex digital ecosystems, including 5G, RAN, Core, MEC and Transport networks. The sensor generates high-fidelity datasets that reduce the need for manual correction of AI outputs and improve trust in AI-driven insights. It correlates data across mobile and fixed networks into a unified view, enabling faster root-cause analysis, improved service assurance, and better visibility into how network performance affects subscriber experience.
Complementing this, Omnis™ AI Streamer for Service Providers acts as a programmable curation engine that converts large volumes of network telemetry into actionable intelligence. It extracts, aggregates and labels high-value signals through a Playbook Builder interface, allowing operators to tailor curated data feeds for network operations and service assurance teams. Optional machine learning-based enrichment, including outlier detection and contextual classification, can be applied to selected feeds to further enhance intelligence quality.
Richard Fulwiler, senior director, product management at NETSCOUT, said AI agents deliver meaningful outcomes only when powered by curated, multi-domain intelligence drawn from real digital ecosystem activity. He added that by reducing data volume and infrastructure demands while enhancing network security, the company helps CSPs transform customer service from a cost centre into a strategic capability that strengthens revenue protection and customer loyalty.
NETSCOUT will showcase its AI capabilities for telecom networks at Mobile World Congress, to be held from March 2–5, 2026, in Barcelona.