AI-Ready Smart Data: The Foundation for More Effective AI-Driven Network Operations

AI is transforming enterprise IT operations, promising faster troubleshooting, greater automation, and more efficient management of increasingly complex digital environments. However, achieving these benefits depends heavily on something fundamental. That is, providing AI tools with accurate, reliable, and contextualized data.

NETSCOUT continues to demonstrate its technology innovation leadership with three recent product-related announcements designed to help enterprise organizations benefit from the full potential of AI-powered network operations. These innovations include NETSCOUT’s AI-ready Smart Data platform, featuring Omnis AI Insights with Omnis Sensor and Omnis Streamer; Model Context Protocol (MCP) connectivity that makes Smart Data accessible to AI assistants and agents; and nGenius Copilot, which brings conversational AI to the nGeniusONE network observability solution.

Together, these advancements reinforce NETSCOUT’s commitment to transforming deep packet inspection-derived intelligence into actionable insights that support the next generation of AI-driven and agentic IT operations.

What You’ll Learn in the EMA Impact Brief

In its new Impact Brief “NETSCOUT Builds a Smart Data Foundation for Agentic IT Operations,” Enterprise Management Associates (EMA) examines these innovations and their significance for enterprise network operations.

Key takeaways from EMA’s Impact Brief include:

• Why AI-ready data matters: How high-fidelity, contextualized network intelligence helps address the data quality challenges limiting AI effectiveness
• Advancing agentic operations: How NETSCOUT’s latest innovations support more accurate AI inference, operational efficiency, and intelligent automation
• Making network intelligence more accessible: How AI assistants, third-party integrations, and conversational interfaces can extend the value of network observability
• Research validating the need for innovation: How findings and statistics from multiple recent EMA research studies reveal challenges involving data readiness, network complexity, observability unification, and growing expectations for AI-powered operations
• The future of AI-driven NetOps: EMA’s assessment of how data-centric innovation can influence enterprise AI strategies and investments

Enterprise organizations are accelerating their AI journeys, making the relationship between trusted data and successful AI outcomes more important than ever.

Read the EMA Impact Brief “NETSCOUT Builds a Smart Data Foundation for Agentic IT Operations” to learn more about the analyst perspective on NETSCOUT’s latest innovations, the value they bring to businesses, and the implications for the future of network operations.