MIT System Successfully Processes Big Data Without Human Involvement

A system designed by Massachusetts Institute of Technology researchers could produce far more efficient data analysis while removing most of the need for human involvement in the process. Although computers and sensors can collect unfathomable amounts of data, human eyes are generally needed to find patterns within that information.MIT’s Data Science Machine, however, utilized algorithms to successfully — and quickly — analyze Big Data without human intervention. The system successfully outperformed hundreds of human teams in recent data science competitions.”We view the Data Science Machine as a natural complement to human intelligence,” said Max Kanter, whose master’s thesis provided the basis for the project.Read more: Key benefits of the Big Data approach to traceability.The Data Science Machine can track correlations between entries throughout a database, as well as limiting categories…

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