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.
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How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
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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.
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
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In her new book, computer scientist Joy Buolamwini examines the “power shadows” lurking in the datasets used to train artificial intelligence.
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These 10 startups are using artificial intelligence and machine learning to accelerate digital transformation.
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Chief data officers are preparing for generative AI while continuing to work on other data initiatives, according to a new survey.
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AI-enriched KPIs, known as smart KPIs, can better guide organizations toward key business goals.
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Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.
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Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.
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A responsible AI framework mitigates the risks from artificial intelligence systems developed outside the company.