"Is AI Ready for Ops? Simply put, no." Danyel Fisher, who works for honeycomb.io, spells out several reasons why AIOps isn't the silver bullet that vendors claim. Among those reasons, your AI can't detect anomalies if you keep fixing them:
The net effect is that DevOps teams end up working against their AI: every time it figures out what sorts of alerts are important enough to set off a pager, the DevOps team has the audacity to go fix the underlying issue.
Danyel suggests tracking SLOs tied to user experience as an alternative to AIOps.