Numenta’s Grok for IT: Artificial intelligence meets network performance analysis

Anomalies in data are everywhere. They appear in the performance of just about anything you can measure. Sometimes, if you’re lucky, they’re rare. Other times they aren’t. The problem in both cases, however, is figuring out what is truly an anomaly and what just appears to be one. This is why we need statistical methods to sort the WTF from the chaff, so to speak. Now, using stats is fine but when you don’t know exactly how to characterize anomalies, you wind up wasting a lot of effort identifying the correct and then optimal methodologies to identify the stuff you need to find which is why handing over the problem to a computer is a much better solution. But what computer technology to use? Numenta, founded by Jeff Hawkins, the…


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