The framing that clicked for Netflix's AI ops team: in an observability pipeline, agents function as entropy reducers.
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Running that agentic loop continuously can also surface better ways to extract data over time.
One example is subject matter expert detection, building a graph of who knows what from accumulated interaction triples across incident threads without anyone explicitly labeling expertise.
Renzo Sanchez-Silva, Engineer @Netflix, explains the pattern: chaotic inputs such as Slack threads, PagerDuty alerts, and screenshot attachments go in. Structured RDF triples come out.