Few AI pilots scale successfully. Asking key questions about goals, governance, and culture can help them thrive.
The consortium expands collaboration between industry and researchers at the MIT Sloan School of Management through the Masters of Business Analytics program.
A new MIT Sloan School of Management initiative aims to design the financial architecture needed to bring breakthrough climate innovations from technical promise to commercial scale
AI performance is improving across many workplace tasks broadly, not in sudden shocks, new MIT research finds. That cadence gives companies and workers time to prepare for task-level displacements.
Freelancers, contractors, part-timers, gig workers, adjuncts, and other contingent workers deserve more respect, MIT Sloan professor emeritus Paul Osterman writes in his book “Disposable Workers.”
A new research briefing explains how semantic layers make enterprise data more accessible and understandable by humans and machines.
The transformation of employment has left roughly one-third of the U.S. workforce without job security, according to a new book by MIT Sloan School of Management professor Paul Osterman.
Their new study aims to give budding industry a framework for understanding how fusion can be profitable.
MIT Sloan’s Paul Osterman argues that the rise in gig workers, freelancers, contractors, adjuncts, and other contingent workers carries long-term implications for the future of work.
The first-of-its-kind platform combines an evidence-based framework with cutting-edge AI technology to guide students through real-world entrepreneurship concepts.
