Ask HN: Can ML/AI make system monitoring better?

If someone with enough experience in ML/AI were to build an application that aims to 1) Reduce the overall number of alerts 2) Figure out which alerts are actionable and which are not 3) Predict potential issues and suggest remedies - would he/she succeed? The question is to find whether someone can actually achieve this with ML/AI in its current state today. If something like this was possible is it safe to assume that engineering teams at Google, Amazon, Uber, AirBnB, DropBox, NetFlix would have already implemented this?

I read about two different views on this subject today

1. Why Machine Learning in Monitoring is BS: https://blog.opsee.com/machine-learning-in-monitoring-is-bs-134e362faee2

2. Why it is not BS: http://mabrek.github.io/blog/machine-learning-is-not-bs/

I was curious to find what good people on HN think about this.