Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
The secret to successful AI implementations? Worker voice
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When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
7 lessons from the early days of generative AI
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A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
Making generative AI work in the enterprise: New from MIT SMR
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Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
How to tap AI’s potential while avoiding its pitfalls
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
How can we preserve human ability in the age of machines?
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”
The AI Playbook: 6 steps for launching predictive AI projects
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Eric Siegel’s new book outlines a business-oriented paradigm for successful machine learning initiatives.
How companies can use AI to find and close skills gaps
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To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
2 from MIT Sloan named as Best 40-Under-40 MBA Professors
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Jacquelyn Pless and Rahul Bhui study what drives innovation for social good and how people make decisions.
Boston Fed CEO sees interest rates staying put for now
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Susan M. Collins discusses managing inflation and AI in finance.
6 ways to transform KPIs
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Smarter KPIs lead to better outcomes. Companies that revise their KPIs with artificial intelligence see greater financial benefit than those that do not, new research shows.