Data
Ideas and insights about data from MIT Sloan.
AI in manufacturing starts with data
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Artificial intelligence can monitor and improve production and quality control on factory floors. The key is focusing on data, not complex AI systems.
Bot detection software isn’t as accurate as it seems
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Bot detection models may return a high rate of accuracy, but that’s due to a critical limitation in the data used to train them, a new study finds.
Study: Industry now dominates AI research
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Industry is now leading, and influencing, basic AI research that has traditionally been the domain of academia, according to a new paper.
New MIT podcast explores the promise and peril of data
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How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
New AI lessons from MIT Sloan Management Review
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Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
When does artificial intelligence pay off?
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Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
3 ways to center humans in artificial intelligence efforts
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Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
How companies use AI to reach customers, innovate
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“Me, Myself, and AI” looks at how Boeing, Land O’Lakes, and other companies aim to succeed with artificial intelligence.
Survey details data officers’ priorities, challenges
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Chief data officers are focused on data governance and creating a data-driven culture, according to a new survey report written by Tom Davenport.
Download: Innovative data and analytics practices
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From MIT Sloan, how to apply the tools of modern data science, optimization, and machine learning to solve real-world business problems.