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  • Pierre Azoulay
    March 20, 2020 | MIT News Office

    A business edge that comes with age

  • Business priorities
    June 11, 2020 | MIT News Office

    Which businesses should be open?

  • Fri, April 4, 2025 | Conference

    Business of Quantum Summit - April 4, 2025

    MIT Schwarzman College of Computing

    Join MIT’s Initiative on the Digital Economy (MIT IDE) as they present their latest research on how Quantum Technologies are impacting a broad range of industries and listen to expert panelists discuss the most pressing topics. 

  • Akkio Web Hero - 2
    Akkio logo bw
    April 20, 2023 | Startup Feature

    Artificial Intelligence for Daily Business Analyses

  • Past Deadline: Jan 22, 2024

    P&G Business Challenge: Brand Building with Communities at Scale

    partnership

    P&G is looking startups to partner and/or develop novel ways to map communities with common, relevant interests and then use technology to deliver targeted content/solutions. 

  • Evaluating computing performance
    January 6, 2020 | MIT News Office

    Tool predicts how fast code will run on a chip

  • MIT News ClosedLoop
    June 19, 2020 | MIT News Office

    Bringing the predictive power of artificial intelligence to health care

  • Frederic Kerrest
    February 14, 2019 | MIT News Office

    Podcast reveals the tough reality of building a business

  • Sales Training new
    Wed, May 17, 2023 | Learning sessions

    Sales Training: New Business Acquisition - Session 2

    MIT Campus

    This session is part of MIT Startup Exchange Sales Training, a series of complimentary learning sessions designed for the Exchange’s startups and entrepreneurs. 

  • February 28 - 29, 2024 | Conference

    2024 MIT AI Conference: Tech, Business, and Ethics - Startup Exchange Lightning Talks

    Boston Marriott Cambridge

    The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.

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