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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

In parallel to using data quality drift checks as a proxy for monitoring model degradation, the system also monitors feature attribution drift using the normalized discounted cumulative gain (NDCG) score. About the Authors Dr. Björn Blomqvist is the Head of AI Strategy at Axfood AB.

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Driving AI Success by Engaging a Cross-Functional Team

DataRobot Blog

The MLOps command center gives you a birds-eye view of your model, monitoring key metrics like accuracy and data drift. The Accuracy tab specifically shows how the model’s accuracy has changed since deployment, helping you keep track of its performance in the real-world.