Jonathan Ruane
Lecturer, Global Economics and Management, Research Scientist, Lecturer, Global Economics and Management
Lecturer, Global Economics and Management, Research Scientist, Lecturer, Global Economics and Management
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Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.
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A new book aims to help business leaders separate real AI value from overhyped claims.
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Natalia Levina, PhD ’01, and Rumman Chowdhury, SB ’03, spoke at the second annual Social Media Summit@MIT, a virtual gathering hosted by the MIT Initiative on the Digital Economy, in late March.
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When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
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A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.
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Six illustrations we loved this year.
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Highlights from Gary Gensler and Lily Bailey’s “Deep Learning and Financial Stability” outline five ways AI could lead to future financial crises.
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MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
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Health care, and helping hands for those with limited resources.