Technology
Ideas and insights about technology from MIT Sloan.
Artificial intelligence can design more appealing cars
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Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
Do we need a US Department of Water?
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A national water strategy would help the U.S. manage outdated infrastructure and adopt desalination technology, argues water entrepreneur Aaron Mandell.
5 ways to scale digital initiatives
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Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.
What is synthetic data — and how can it help you?
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Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
Employees more likely to second-guess interpretable algorithms
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New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Why investors should look at ‘tough tech’
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Tough tech, which applies science and technology to the world’s biggest problems, is redefining industries.
What Web3 means for businesses
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Capitalizing on Web3 may not be all that different from adapting to the virtual communities that emerged from Web2, one expert argues.
3 corporate innovation mistakes and how to avoid them
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MIT Sloan’s Phil Budden offers tips to avoid confusing technology with innovation, trying for 10X when 10% will do, and ineffective external engagement.
The business case for blockchain
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Blockchain adoption hinges on finding the right use cases, creating a strategy and focus, and galvanizing staff.
Report finds employees embrace AI when they see its value
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A new study from MIT Sloan Management review finds many employees use AI without realizing it — and without realizing how it benefits them.