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.
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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.
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A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
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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.
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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.
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”
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Eric Siegel’s new book outlines a business-oriented paradigm for successful machine learning initiatives.
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To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
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Jacquelyn Pless and Rahul Bhui study what drives innovation for social good and how people make decisions.
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Susan M. Collins discusses managing inflation and AI in finance.
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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.