The author details a process of using a machine learning model in shadow mode on Amazon SageMaker to score Calgary's open 311 requests. This approach allows for evaluation of the model's performance without it directly impacting the city's services, as the author had reservations about its approval for live use. The goal is to gather data for a subsequent stage to measure the model's effectiveness. AI
IMPACT Demonstrates a practical application of MLOps for evaluating models in a real-world scenario before full deployment.
RANK_REASON Article describes the implementation of an ML model for a specific use case (scoring 311 requests) on a cloud platform (SageMaker), which falls under AI tooling.
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