Observability, AI Readiness, and Operational Resilience

Research Insight

Based on research from 950 technology professionals at Cisco Live 2026, this e-book explores how enterprises are preparing for AI-driven operations while navigating rising infrastructure complexity, observability gaps, and performance pressures.

Readers will get a practical view into the operational readiness challenges shaping AIOps and AgenticOps adoption, along with the trusted network intelligence necessary to improve resilience, secure AI access, and turn observability data into actionable insights.

In this complimentary research report, readers will learn about:

• How operational complexity and visibility gaps are affecting troubleshooting delays and enterprise network team success
• What performance problems mean for business risk and resilience, user experience, and operational confidence
• Where organizations stand in AI and LLM project maturity and why monitoring AI services matters
• Key barriers slowing AIOps and AgenticOps adoption, from data quality to governance and trust
• Why deep packet inspection and high-quality observability data remain critical to AI-ready operations

Download the free report for actionable insights you can use to tackle your toughest network operations challenges and plan for the future of AI and LLM–driven network management.