AI promises to revolutionize networking, but it cannot succeed without a solid foundation of trustworthy data. In today’s multivendor environments, network data is often fragmented, siloed, and inconsistent, making automation risky and AI unreliable. Traditional monitoring provides only partial visibility, while logs capture isolated events without the full picture of infrastructure behavior. This session explores how point-in-time snapshots of network state deliver the clean, structured, and contextual data that AI and automation truly need. By normalizing routes, rules, adjacencies, and more across diverse platforms, snapshots create a unified source of truth that empowers collaboration, repeatable insights, and intelligent automation. Attendees will learn why “you can’t automate what you don’t understand,” and how democratizing access to normalized network data unlocks new opportunities for both human teams and AI-driven solutions.
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