What is algorithmic business thinking?
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Borrowing from computer science, algorithmic business thinking helps people communicate with each other, and with machines.
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Borrowing from computer science, algorithmic business thinking helps people communicate with each other, and with machines.
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Knowing why BMW, Daimler, and Volkswagen colluded against clean air regulation — and quantifying the damages — may have implications for U.S. policy.
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Successful chief data officers shift the narrative away from the risks of data sharing to the risks of not sharing.
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2021 Thinkers50 award nominees include MIT Sloan professors and alumni studying social media, intelligent machines, and digital body language.
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In mergers and acquisitions, it takes more than low interest rates and a healthy stock market to get a deal done. New research pinpoints three unapparent behaviors.
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Artificial intelligence doesn’t have to trigger a loss of jobs and privacy, writes MIT economist Daron Acemoglu. But only if we modify our approach.
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How to create an "automation center of excellence" and develop capabilities for success after the pandemic.
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A new report offers solutions to the problems that hound social media, from the spread of misinformation to the lack of competition.
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Stop letting the data you happen to have guide your decision-making.
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Addressing climate change means matching data with targeted action. Tracking the right metrics, and using them the right way, is essential.