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AI and machine learning

    Workers Don’t Trust AI. Here’s How Companies Can Change That.

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    Five ways leaders can close the trust gap.

    Can AI Boards Outperform Human Ones?

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    Lessons from an experiment comparing human and AI boards deliberating the same business case.

    Turning Real-Time Satellite Data into a Competitive Advantage

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    As access to space-based intelligence grows, the window for early advantage is narrowing. Three capabilities offer immediate, scalable returns.

    AI Companies Don’t Have a Profitable Business Model. Does That Matter?

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    Harvard Business School’s Andy Wu discusses the industry’s unique challenges, competitive forces, and potential outcomes.

    3 Questions to Ask About Your Strategy in the Age of AI

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    Lessons from Intercorp Perú Ltd on transitioning from an industrial-era conglomerate to an AI-driven corporation.

    Mitigating the Public Health Impacts of AI Data Centers

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    Organizations can make decisions today about how much air pollution the AI boom will create.

    What Executives Get Wrong About AI

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    Stop focusing on adoption and start thinking about reinvention.

    Overcoming the Organizational Barriers to AI Adoption

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    People, processes, and politics determine whether AI creates value.

    The AI Tools That Are Transforming Market Research

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    Eight ways to experiment with “synthetic personas” and “digital twins.”

    How Generative AI Is Reshaping Venture Capital

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    What entrepreneurs need to know about what’s changing—and what’s staying the same.

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