Data
Ideas and insights about data from MIT Sloan.
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.
Companies that submit to an audit initially see emissions rise
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Organizations that opt to verify emissions via third-party auditors ultimately make more carbon reductions than companies that don’t audit.
6 ways to transform KPIs
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Smarter KPIs lead to better outcomes. Companies that revise their KPIs with artificial intelligence see greater financial benefit than those that do not, new research shows.
How storytelling helps data-driven teams succeed
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Whether on the court or in an office, winning leaders use data and storytelling to achieve sustained performance from their teams.
MIT report details new cybersecurity risks
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Cloud misconfigurations, more sophisticated ransomware, and exploitation of vendors are contributing to rising cyberattacks.
3 ways companies can scale emissions reduction
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With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.
Accelerated research about generative AI
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Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Leading the AI-driven organization
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How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
How generative AI is changing entrepreneurship
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Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.
Data strategy ideas from MIT Sloan Management Review
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.