All articles published by MIT Sloan Management Review online and in print.
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Manage AI Bias Instead of Trying to Eliminate It
It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.
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Unlocking the Potential of Digital Twins in Supply Chains
Digital twins can deliver immense benefits across a wide range of supply chains with the right implementation strategy.
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Why Less Is More in Data Migration
To make data migration more effective, start with a minimum set of viable data, leave out nice-to-have data, and weigh speed vs. quality.
![](https://sloanreview.mit.edu/wp-content/uploads/2021/04/GEN-Purdy-Digital-Olfaction-2400x1260-1-1200x630.jpg)
Business Scents: The Rise of Digital Olfaction
Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.
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Make Your Crowd Smart
Solving complex problems with crowdsourcing means tailoring the crowd to the problem’s scope.
![](https://sloanreview.mit.edu/wp-content/uploads/2021/09/GEN-Meissner-AI-Decisions-2400x1260-1-1200x630.jpg)
The Human Factor in AI-Based Decision-Making
New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.
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Fast-Track Data Monetization With Strategic Data Assets
To monetize data, companies must first transform it so it can be reused and recombined to create new value.