Anomaly detection is just forecasting in disguise. The hard part isn't flagging unusual values. It's avoiding alert fatigue, catching data problems, and giving people enough context to decide what actually matters. Jared Lander talks about it in our latest post: bit.ly/4ei1f9K
bit.lyAnomaly Detection Is Just Forecasting in DisguiseBuilding an attention filter that tells people where to look, instead of giving them more to look at
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