Data literacy: The key to cracking the data culture code
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Data is the common language of our time. Achieving data literacy in your organization requires a shared mindset, language, and skills.
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Data is the common language of our time. Achieving data literacy in your organization requires a shared mindset, language, and skills.
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Research about quantum computing, companies run by “geeks,” and how artificial intelligence will affect workers.
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Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
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How can urban real estate bounce back from the pandemic? By embracing flexibility and deploying artificial intelligence, industry experts say.
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
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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.”