Machine Learning for Data Unification
Machine learning (ML) is currently a much-discussed topic, but in many instances the enthusiasm for the subject exceeds its practical implementations. In this complimentary whitepaperTuring Award Winner Dr. Michael Stonebraker outlines research started at MIT CSAIL (the Computer Science & Artificial Intelligence Laboratory) and other institutions in 2012, aimed at applying ML to the challenge of unifying data at scale to address what he believes is a pervasive problem for large enterprises.
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