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In recent years, great strides have been made to scale and automate Big Data collection, storage, and processing, but deriving real insight through relational and semantic data analysis still requires time-consuming guesswork and human intuition. Now, novel approaches designed across domains (education, medicine, energy, and others) have helped identify foundational issues in general data analysis, providing the basis for developing a “Data Science Machine,” an automated system for generating predictive models from raw data.
2016 MIT Information and Communication Technologies Conference