Data processing boom in investing favors large firms over small
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New research shows that investors are most interested in processing data about large, high-growth firms over smaller companies, even those with high-growth prospects.
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New research shows that investors are most interested in processing data about large, high-growth firms over smaller companies, even those with high-growth prospects.
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How “repugnant market” concerns can cause even well-intentioned firms to fail in workforce diversification efforts.
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Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.
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Borrowing a model from statistical physics, an MIT professor finds a better way to detect online bots.
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An MIT Sloan professor dispels three common misconceptions about the future of artificial intelligence.
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Eric Siegel’s new book outlines a business-oriented paradigm for successful machine learning initiatives.
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New technologies are upsetting status structures in the workplace. How can managers introduce them without driving a wedge between coworkers?
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Researchers analyzed 110 million YouTube comments. Their recommendation: Use algorithms to hide toxic speech, then follow up with human review.
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Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
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Fact-checker warnings work and are broadly popular, and other insights about social media moderation from an MIT expert.