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DOP 180: What is AIOps?
DevOps Paradox
How Little Is Too Little Data?
In terms of prediction, the volume of data is very important. So how little is too little data? Let me rephrase it just a little bit. If my churn rate of whatever it is that I'm doing is so low that it's not statistically significant, therefore no predictive model can be built off of it, I don't really have a use for those kinds of ops. That would be a mismatch at that point. But if you want to look at some other use cases, an example I like to use, because as a mere engineer, I like to get my head around things in terms of practicality and practical outcomes,. An example would be the correlation of a tag.
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