NETSCOUT Expands AI Data Capabilities For Telcos

NETSCOUT Systems has announced the expansion of its Omnis AI Insights solution for communications service providers (CSPs), aimed at helping telecom operators implement artificial intelligence (AI) in customer experience management and network operations.

The company said the updated solution enables CSPs to convert raw network data into structured, AI-ready datasets that can support the deployment of AI agents. These agents can be used to improve service quality, automate network operations, and support predictive maintenance initiatives.

The expansion comes at a time when telecom operators are increasing their investment in AI technologies. According to research by McKinsey & Company, 64% of telecom executives say they are scaling their AI initiatives, with AI agents identified as a key area of focus. However, nearly half of respondents cited data challenges as the main obstacle to scaling AI deployments.

NETSCOUT’s Omnis platform is designed to address these challenges by providing a data layer that consolidates information from across telecom networks into a unified view. The platform supports environments such as 5G, radio access networks (RAN), core networks, and edge computing infrastructure.

The Omnis AI Sensor component provides real-time datasets that link network activity to subscriber experiences. This visibility is intended to help operations teams identify service issues more quickly and understand their impact on customers. The company says this can support faster root-cause analysis and improve decision-making across network operations.

Another component, Omnis AI Streamer, is designed to help operators process large volumes of network telemetry data. The tool curates and filters network information into smaller data streams that can be consumed by AI systems, analytics platforms, and operational applications.

According to NETSCOUT, the approach is intended to reduce the complexity and infrastructure requirements associated with large-scale AI deployments while improving the reliability of AI-driven insights.

Richard Fulwiler, senior director of product management at NETSCOUT, said AI-driven network operations depend on accurate and well-structured data drawn from across the digital ecosystem. He noted that reducing data complexity can help telecom operators use AI more effectively while strengthening network performance and customer service.

The company said the expanded capabilities are intended to help CSPs move toward more automated and data-driven network operations as AI adoption continues to grow across the telecommunications sector.