Strategy

A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.

A new MIT Sloan executive education course led by professor Andrew W. Lo explores machine reasoning, quantamental investing, AI governance, and more.

AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.

AI systems built or run with limited resources could soon perform on par with leading larger models while costing much less, according to new research.

As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.

A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.

Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.

Three approaches to acquiring generative AI solutions for your company, and how to choose the right one.

Adversity can cultivate instincts that serve entrepreneurs well, says venture capitalist Noubar Afeyan. Here are his three tips to start innovating.

From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.