MIT Sloan research on artificial intelligence and machine learning
An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.
More from MIT Sloan School of Management
6 steps for leading successful data science teams
To support data science teams, start by pointing them toward the right problem.
«When a model improves performance on a selected metric, it may do so at the expense of other important metrics.»
Machine learning, explained
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
«Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.»
Why distributed leadership is the future of management
Managing the future of work requires a nimble mindset focusing on small, short-term wins, and a ‘cultivate and coordinate’ approach to leadership.
«distributed leadership as collaborative, autonomous practices managed by a network of formal and informal leaders across an organization.»
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