In this video, learn how Scandinavian Airlines (SAS) uses Microsoft Azure Machine Learning to make predictive models to improve everyday operations and identify patterns in their data. From reducing fresh food waste to cutting down on fraud in its EuroBonus loyalty program; SAS is harnessing the power of its data by using Azure Machine Learning and its responsible machine learning capabilities. Capabilities including model interpretability and explainability. These capabilities help data scientists understand models better, create transparency about their processes, build trust in machine learning solutions, and create better customer experiences.  

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