Change Management
Ideas and insights about change management from MIT Sloan.
Slack CEO: How to roll out artificial intelligence internally
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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.
How generative AI affects highly skilled workers
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When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.
6 ways to help employees embrace data-driven initiatives
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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.
Artificial intelligence is now everyone’s business
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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.
7 lessons from the early days of generative AI
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A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
The bottom-line benefits of second chance hiring
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Kelly CEO Peter Quigley shares how hiring workers with criminal records can be good for business and beneficial for building community.
How to tap AI’s potential while avoiding its pitfalls
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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.
How can we preserve human ability in the age of machines?
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”
The AI Playbook: 6 steps for launching predictive AI projects
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Eric Siegel’s new book outlines a business-oriented paradigm for successful machine learning initiatives.
5 ‘extraordinary turnarounds’ for global well-being
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Earth4All calls for a reconfiguration of economies, energy, and food systems to increase societal resilience and avoid the worst climate change impacts.