Machine learning (ML) is currently a much-discussed topic, and in many instances the enthusiasm for the subject exceeds its practical implementations. Since Tamr began as a research project at MIT CSAIL (the Computer Science & Artificial Intelligence Laboratory) and other institutions in 2012, our goal has been to apply ML to the challenge of unifying data at scale to address what we believe is a pervasive problem for large enterprises that has not been effectively addressed by mainstream data integration tools.
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