Leaders who actively design for the widespread use of data assets generate three times the revenue from data monetization compared with their peers.
Commercial quantum computing is now years, rather than decades, away. It’s time for business leaders to start tracking its evolution.
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
Generative AI can help people lose weight, but it can’t replace the benefits of having a community of support, research from MIT Sloan shows.
AI really can pay off. But leaders must take a systematic approach, understand how the technology works, and let their team leaders determine how it’s used.
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
From MIT experts, strategies to transform skills, roles, and human potential across your organization.
A new paper from MIT Sloan assistant professor Basima Tewfik reveals that "impostor syndrome" — or, as it’s more accurately known, the "impostor phenomenon" — is often mischaracterized.
Does generative AI actually enhance creativity in the workplace? The answer is yes — but only for employees who have strong metacognitive strategies, according to new research from Jackson Lu.
New MIT Sloan research offers a framework of human-intensive capabilities and a set of metrics to evaluate tasks across all occupations and better understand the effects of AI on the labor market.
