Keeping your technology workforce operating at peak performance is critical to digital business success. Here’s how to motivate and manage tech workers.
A new study from the MIT Sloan School of Management sheds light on a puzzling paradox: Despite AI’s growing accuracy and efficiency, people often prefer human decisions—even when AI performs better.
Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
Here’s how to align talent, culture, and strategy to create lasting team success, according to private equity exec and WNBA franchise CEO Suzanne Abair.
New research from MIT Sloan finds that generative AI provides culturally distinct responses to the same prompt in different languages.
Two economists offer a framework for thinking about the place of values in the decisions of modern life.
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.
A new book aims to help business leaders separate real AI value from overhyped claims.
The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.
Adversity can cultivate instincts that serve entrepreneurs well, says venture capitalist Noubar Afeyan. Here are his three tips to start innovating.
