Data & Data Culture
The Enduring Power of Data Storytelling in the Generative AI Era
Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.
Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.
Fifteen years ago, the author made predictions about what would happen in the future of work. How’d that turn out?
Measuring and improving employee performance are different tasks most effectively addressed by two separate processes.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
Jump-start the new year with advice from some of MIT SMR’s most thought-provoking articles for leaders.
Managers and their direct reports can use these strategies to take their one-on-one meetings to the next level.
MIT SMR’s top 2023 articles on workplace culture can help leaders build thriving organizations with engaged employees.
How will your organization use artificial intelligence in the coming year? Consider this roundup of expert advice.
Enhance your leadership skills with MIT Sloan Management Review’s most-read articles of 2023.
MIT Sloan Management Review’s winter 2024 issue includes strategies for better engagement with employees and customers.
This issue of MIT SMR focuses on sustainability, customer and employee engagement, and strategic planning.
Today’s student labor organizers will bring their employment expectations to future workplaces. Leaders should be ready.
Make better use of meeting time by focusing less on productivity and more on building connections and trust.
Today, information flows faster — and more broadly — than many leaders can handle. These stay-sane strategies can help.
How can a new leader overcome the lack of confidence they feel with their new team? Sanyin Siang has three suggestions.
Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.
New research from MIT SMR and BCG reveals most organizations are unprepared for the risks posed by generative AI tools.
Analytics and other measurements offer insight into what audiences think about a talk both during and after the event.
A panel of artificial intelligence experts weighs in on whether organizations are adequately investing in responsible AI.
These guidelines can help make your most challenging workplace conversations both constructive and respectful.