NETSCOUT Data Platform Transforms AI-Driven Network Operations and Controls Costs
NETSCOUT expanded its data platform with Smart Data, positioning packet-derived, context-rich telemetry as the operational evidence layer for AI-driven network operations, observability, cybersecurity, and agentic IT workflows. In internal testing, NETSCOUT says Smart Data cut AI token consumption by more than 25% versus MELT-only data and reduced MTTK by more than 75%, claims management ties to lower AI analysis costs and a controlled path toward autonomous operations.
Key figures
- Mttk reduction
- >75% (internal testing)
- Ai token consumption reduction
- >25% vs MELT-only data (internal testing)
- Gartner cost reduction by 2027
- up to 60%
- Gartner agentic ai accuracy gain by 2027
- up to 80% for orgs prioritizing semantics in AI-ready data
AI analysis
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