Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.

How can urban real estate bounce back from the pandemic? By embracing flexibility and deploying artificial intelligence, industry experts say.

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.

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.

A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.

Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.

MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.

Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”

Eric Siegel’s new book outlines a business-oriented paradigm for successful machine learning initiatives.

To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.