Lost in a bit of the discourse around anomaly detection and incident management is that not all problems are equal. Many of them actually are automatable to som

Lost in a bit of the discourse around anomaly detection and incident management is that not all problems are equal. Many of them actually are automatable to some extent. I think the issue is understanding when something is sufficiently offloadable to some cognitive processor vs. when you really do need a human engineer involved. To your point, yes, they are better at detecting patterns at scale … until they’re not. Or knowing if a pattern is meaningful. Of course not all humans can fill these gaps either.