Change Management

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

Here are insights from senior leaders, scientists, and a Nobel laureate that captured the business mood in 2024.

Terms that caught readers’ attention this year include low-ego leadership, glass cliff, financial nihilism, greenhushing, and exaptation strategy.

Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.

When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.

Change management is the secret sauce for driving ROI in data-centric initiatives. Here’s a look at some of the neuroscience behind employee engagement in times of change.

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.

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

Kelly CEO Peter Quigley shares how hiring workers with criminal records can be good for business and beneficial for building community.

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