AIOps in your world
The specific, high-value problems AIOps / MLOps solves — industry by industry. Pick any one to see the full picture: the situation, why it matters, how we’d deliver it, who it’s for and when it bites.
industries
use cases
Manufacturing · 10 use cases
the stakes — $50B/yr lost to unplanned downtime (Deloitte); AI-in-manufacturing ~35% CAGR to 2030 (Grand View).
On-edge model serving & OTA updates at line speed
Deploy, version and update inspection models on machines at the edge — offline-tolerant, rolled back in seconds if a version misbehaves.
the situation
Inspection models increasingly run right on the machine, where the line runs offline and never stops for a software update.
why it matters
The failure is a sound the cloud is too slow to hear — and the line never stops for a redeploy.
how we’d deliver it
We package each model to run on the machine itself, keep a record of which version sits on every device, and push updates over the air with one-click rollback if a new version misbehaves — no factory visit, no line stop.
who it’s for
Plant IT/OT and manufacturing-engineering leaders; the automation and quality teams who own the line.
when it bites
When models must run at the machine faster than the cloud can answer, and updating them today means physically touching each station.