Operations | Monitoring | ITSM | DevOps | Cloud

The most consequential building material of this decade is not steel, glass, or engineered timber. It is data. A single mid-size commercial project now produces terabytes of it: parametric design models, drone photogrammetry, sensor telemetry from curing concrete, and operational feeds that continue streaming decades after handover.

IT operations teams produce an enormous amount of information. Alerts, logs, incident messages, deployment records, support tickets, runbooks and post-incident reviews all contain operational knowledge. The problem is that much of this knowledge remains fragmented and difficult to reuse. Generative artificial intelligence can help organise and transform this information, but its safest role is not unrestricted control over production infrastructure. Its strongest initial use cases involve reading, summarising, classifying and drafting information for an engineer to review.