MAY 22·TechTarget→
How AI innovation is driving network observability tool churn
A recent survey by Enterprise Management Associates indicates a significant increase in network observability tool churn, with 33% of IT organizations likely to replace their tools in the next two years, up from 26% in 2024. The primary driver for this churn is the demand for AI-driven insights and automation, particularly "agentic AI" capabilities for proactive problem detection, alert management, and problem resolution. Other factors contributing to tool replacement include the need for better end-to-end visibility, stronger support for modern architectures like hybrid/multi-cloud and SASE, and enhanced automation of Day 2 network operations.
MAY 19·TechTarget→
10 insights on AI adoption in network operations
This article summarizes 10 insights from an April 2026 IDC report on AI adoption in network operations, based on a survey of 516 respondents. It covers current AI usage for automation, threat detection, and optimization, as well as evolving preferences for AI platforms versus best-in-class solutions and the growing role of human-in-the-loop approaches. The report also highlights where AI innovation is most needed, current and future priorities, challenges with agentic AI, and the critical benefits of embracing AI for network professionals.