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This article discusses the impact of machine learning and data science on the materials industry and outlines the essential areas of focus for organizations looking to deploy a materials informatics strategy. It emphasizes the importance of good data and the various sources available, including experimentation, simulation, and data repositories. The limitations and potential biases of each source are also discussed.