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Survival Analysis for Reliable Forecast Modelling in Production
Taking proactive measures to ensure model reliability and availability in productionPhoto by Andreas Wagner on Unsplash
As businesses increasingly move towards machine learning and analytics based solutions, challenges arise when the models are put into production. One such challenge is the drift in model predictions which makes them less reliable in the long run.
Nowhere is this phenomenon more visible than time series forecast models. Changes in economic cycles, monetary policies, consumer behavior and competitor activity can render the …