6 insights from MIT Sloan Management Review
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An interactive corporate dataset, an AI ethicist, marketing strategies, and more.
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An interactive corporate dataset, an AI ethicist, marketing strategies, and more.
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Machine learning success starts with a strong data strategy, the right business use cases, and patience.
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COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.
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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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A debate on whether machines should pay up for replacing human workers.
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Virtual reality for isolated seniors, a hemorrhage control system integrated into military clothing, and a vaccine that repurposes malicious hacker weapons for good were among finalists’ offerings
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Building trust-based environments, establishing AI ethics, preventing big data inequality, and monitoring key performance indicators in real time.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
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The researchers found that the social perceptiveness—or social intelligence—of group members is a significant predictor of group intelligence, both for face-to-face groups and online groups.
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A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.