The prevailing thought behind AIOps was that patterns in how applications and infrastructure operate could, over time, be determined - and then used to predict when a problem would occur. Even better, maybe problems could even be fixed before anyone noticed. Magic.
Machine learning is like having 1,000 first graders at your disposal. They're smart enough to be taught to identify a spike in a chart-or a kitten-and alert you when they see one. However, enterprise environments are inherently noisy.
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