Network teams have invested heavily in automation, observability, and AI—but are those initiatives built on data they can actually trust?
EMA research shows:
• Only 45% of network teams are completely confident in their network source of truth.
• Only 36% completely trust their network observability data.
• Only 44% believe their network data quality is ready to support AI-driven and agentic operations.
In this blog, EMA’s Shamus McGillicuddy explains why network data quality has become a strategic priority and makes the case for establishing a dedicated network data architecture practice. You’ll learn how improving the quality, governance, and accessibility of network data can strengthen operations today while preparing your organization for the next generation of AI-powered networking.
Read the blog to discover practical recommendations for improving network resilience, operational efficiency, and AI readiness.
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