Aaron Epel, Senior Data Scientist at Stem, discusses the impact of machine learning on fault prediction, asset failure prediction, and preventive maintenance scheduling for energy grid operators. The conversation covers the challenges of data science in handling rare events and imbalanced datasets, as well as the future potential of ML in this field.

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