Using data science to forecast clinical trial outcomes
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
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This 2019 MIT Sloan case by Zeynep Ton and Katie Bach describes how the executive team at Mud Bay, a privately held pet store chain based in Olympia, Washington, implemented a good jobs strategy by offering better wages and benefits and seeking to recoup the costs by increasing sales growth and lowe...
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In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
For decades, MIT Sloan Professor Lotte Bailyn has been calling for changes in the way work is organized -- often in ways that have proven prescient.
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During September's iLead Speaker Series event, Analysis Group’s Martha Samuelson, SF ’86, and Rebecca Kirk Fair, MBA ’02, discussed their professional journeys, as well as the culture and leadership of their firm.
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Joe Eastin, EMBA ’15, chairman and co-founder of ISN Software Corporation, spoke to students from across the Institute as a part of the iLead Speaker Series.
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During the iLead Speaker Series in November, Ruby Chandy, SB ’82, SM’ 89, discussed her professional journey, her experiences on corporate boards, and her continued engagement with MIT Sloan.