Using Machine Learning to Predict Hard Drive Failures

Daisy Zhou and her colleagues at Interpretable AI recently published a paper on how they have used the Machine Learning techniques to predict hard drive failure. Their analysis and process delivers useful insights into drive failure even with limited historical data, enabling organizations to make replacement decisions even when data collection has only recently begun. Unlike current black-box methods of drive failure prediction, the application of interpretable machine learning methods is transparent and completely understandable by humans. So much so, that previous knowledge of Machine Learning techniques is not required to enjoy and benefit from this presentation.