Author: Narendra Narukulla

Point predictions look decisive on a dashboard, but they hide the one fact operations teams care about most: how wrong the model could be on the next request. In production, inputs drift, class balances shift, and long tails show up exactly when stakes are highest. A credit risk score of 0.71 or a demand forecast of 430 units is not a decision; it’s an invitation to over- or under-react unless you know the uncertainty around it. Offline metrics such as RMSE and AUROC summarize average performance on yesterday’s data, not the spread of errors on today’s traffic, and they provide…