Improve Network Reliability with AI NetOps Adoption and Performance Benchmarks

See how organizations use AI for faster resolution and predictive network operations.

Adoption is active: 59 percent use vendor AI features today, yet only 35 percent report complete success. This EMA research details where AI improves detection, alert management, root-cause analysis, and resolution... and where data quality issues and network complexity slow results.

These EMA findings highlight where organizations are:

  • Operationalizing AI Now: Broad use of vendor AI features and model training.
  • Prioritizing Predictive Use Cases: Interest in performance degradation prediction and resource forecasting.
  • Limited By Data and Complexity: Collection errors, inconsistent formats, and blind spots reduce impact.

Use these benchmarks to shape your roadmap for AI-driven performance and reliability gains.

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