How leaders can enable collaboration to help remote teams succeed, and why you should reconsider assumptions about when and where people work.
«Leaders must incorporate the voice of the employees, not just the executive, in reframing how work is done and how business units are organized.»
Industrial robots do reduce jobs and wages — especially for workers in the automotive industry and certain parts of the country.
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.»
A self-professed “thoughtful introvert,” Eli Lilly’s Andrea de Souza learned how to carve out time for intentional, purpose-driven networking as she’s climbed the executive ladder.
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.»
Armed with lots of data, Wayfair and Spotify use the power of machine learning to create personalized experiences for their customers.
In her new book, MIT Sloan international faculty fellow Loredana Padurean shares 10 smart skills to help leaders manage the most complex of variables: people.
«listening is an active skill because it requires full attention. This requires you to be present in the moment.”»
Supply chain irregularities are the new normal. To stay prepared, invest in relationships and reconsider just-in-time strategies.
Product manager, digital platform leader, ESG consultant, and more. Here are five jobs that reflect career opportunities in the sustainability sector.
Machine learning pioneer Andrew Ng argues that focusing on the quality of data fueling AI systems will help unlock its full power.
«Ng advocates for “data-centric AI,” which he describes as “the discipline of systematically engineering the data needed to build a successful AI system.”»
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.»
Dropbox co-founder and CEO Drew Houston talks about how he avoids idea boredom, and walking the “fine line between perseverance and delusion.”
«At MIT Sloan, we talk about ideas made to matter — ideas that are carefully developed and have meaningful impact in the world. In that context — what is your idea made to matter?»
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