What is machine data, and why does it matter for AI? Splunk’s Hanlin Fang explains the logs, metrics, traces and IoT signals generated by the systems running modern organizations.

Hanlin Fang, VP of Product and Head of Cisco Data Fabric at Splunk, explains how machine data comes from applications, infrastructure, networks, IoT devices and other operational systems. As AI agents and physical AI become more common, managing and making sense of this growing volume of operational data could become even more important.

Splunk itself describes machine data as including logs, metrics, traces, events and other signals generated by applications, infrastructure, cloud services, networks and endpoints. Splunk

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