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Workforce Intelligence
Strategies to transform skills, roles, and human potential across your organization.
The Latest
AI implementation strategies from MIT Sloan Management Review
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Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
How to boost your organization’s AI maturity level
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New research highlights four areas leaders must address as they embed AI across their business.
Download: Workforce development in the age of AI
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From MIT experts, strategies to transform skills, roles, and human potential across your organization.
How entrepreneurs can navigate uncertain times
Five MIT entrepreneurs-in-residence share the strategies that separate successful startups from those that struggle when capital becomes scarce.
How to succeed with industrial AI
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Applying systems dynamics principles to industrial AI can ensure faster and more impactful business outcomes.
Which transportation workers will be most impacted by AI?
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New MIT research details the extent to which artificial intelligence will affect jobs, tasks, and costs in the transportation industry.
Generative AI isn’t culturally neutral, research finds
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When presented with the same prompt in different languages, generative AI provides culturally distinct responses.
Buy, boost, or build? Choose your path to generative AI
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Three approaches to acquiring generative AI solutions for your company, and how to choose the right one.
Why talent management strategies go wrong — and how to fix them
“The Meritocracy Paradox” offers frameworks to help organizations make people-management decisions based on data and evidence rather than intuition.
Building a quantum workforce
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The Quantum Index Report from MIT documents a growing demand for quantum skills and emerging efforts to train a quantum workforce.