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.
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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.
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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.
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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.
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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.
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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.
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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.
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Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.
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“Me, Myself, and AI” looks at how Boeing, Land O’Lakes, and other companies aim to succeed with artificial intelligence.
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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.
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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.