
In this fourth episode of the 2026 NetOps Expert Series, Jeremy Rossbach, Chief Technical Evangelist for NetOps, and Alec Pinkham, Principal Product Marketer for AppNeta, unpack what it really takes to make AI work in network operations.While 92% of organizations plan to adopt AI-enabled observability, only 23% have deployed it, and 71% of professionals still do not fully trust AI. The reason is simple. AI does not fix operational gaps. It scales them. Without trusted telemetry, consistent workflows, and full visibility across cloud and internet networks, AI cannot deliver predictive triage or autonomous remediation.The conversation outlines a practical path to AI readiness, starting with closing blind spots, improving data hygiene, enriching tickets, and maturing automation before introducing advanced AI capabilities. The key takeaway is clear: AI success in NetOps starts with a strong data foundation and mature observability.If you want to understand where your organization stands and what steps to take next, this episode offers a practical roadmap grounded in the findings of the 2026 State of NetOps report.
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Episode 49: When Green Dashboards Lie: The Hidden Cost of Mean Time to Innocence in Healthcare

Episode 48: A Step in the Right Direction for Infoblox and Kentik

Episode 47: AI Isn't Breaking Networks. It's Exposing Them

Episode 46: From SD-WAN to SASE: Closing the Network Visibility Gap
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