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    Home»AI & Robotics»Achieving operational excellence with AI
    AI & Robotics

    Achieving operational excellence with AI

    kirklandc008@gmail.comBy kirklandc008@gmail.comJuly 2, 2026No Comments1 Min Read
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    Achieving operational excellence with AI
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    Yet without the right foundations, many of those investments may not fully deliver on their potential. Companies that already operate with discipline have an edge. They can channel new tools into proven systems rather than bolting them onto shaky foundations. Organizations with mature process disciplines are also better positioned to translate AI ambition into real outcomes, as they are already accustomed to data-driven decision-making and process discipline—precisely the cultural foundation AI systems need to deliver value.

    Simply put: AI can accelerate process excellence, but existing process excellence is what makes AI truly impactful. Technology and process are no longer separate levers, and only organizations that pull them together stand to realize the full value of both.

    Download the full report.

    This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

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    • AI professors are negotiating the new realities of academic research
    • AI for science needs reasoning, not just data
    • The Rise of the 1 am Job Interview
    • The Download: AI agents for science, and the “censorship-industrial complex”
    • The AI Slop Backlash Is Actually Having an Impact

    AI professors are negotiating the new realities of academic research

    August 10, 2026

    AI for science needs reasoning, not just data

    August 10, 2026

    The Rise of the 1 am Job Interview

    August 10, 2026

    The Download: AI agents for science, and the “censorship-industrial complex”

    August 10, 2026
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