Finding the shortest path from data to impact

MIT Machine Intelligence for Manufacturing and Operations (MIMO) is a research and educational program created to increase industrial competitiveness by accelerating the deployment and understanding of machine intelligence in manufacturing and operations.

AI: Accelerate Impact

MIT Leaders for Global Operations

MIT MIMO works in collaboration with the Leaders for Global Operations program to help deploy the latest innovations in deep learning and machine learning into manufacturing and operations. In addition to the LGO, MIMO is also working closely with Operations Research CenterMIT Quest for IntelligenceCSAIL, and other MIT faculty in the MIT Schwarzman College of Computing.

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  • Spotlight on Davos: Harnessing the power of the Fourth Industrial Revolution

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    The Fourth Industrial Revolution is changing the way the world lives, thinks, and interacts–but manufacturers are struggling to capture the full potential of their digital transformation efforts. To successfully implement Industry 4.0 across their networks, factories must put people at the center of their transformations. Check out these insights to understand how companies can effectively…

  • Smart Operators: How Leading Companies Use Machine Intelligence

    Making good use of data and analytics will not be done with any single bold move but through multiple coordinated actions. Despite the recent and significant advances in MI, the full scale of the opportunity is just beginning to unfold. In this episode, we discuss why some companies do better than others, what are the…

  • Companies are making big investments in machine intelligence, including automation and machine learning to boost efficiency.

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    For example, during Tyson Foods, Inc.’s Q1 2022 earnings call last month, CEO and President Donnie King doubled down on the company’s plan to spend $1.3 billion over the next three years to increase automation in meat plants. But implementing machine intelligence successfully can be complex, according to new research. To learn more, I had…

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