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.
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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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A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.
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Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
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Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
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Top-performing companies invest in CEO-level data leadership, data value realization, and data resource life-cycle measurement.
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When enterprises address opportunities or threats immediately, they perform better. A new research briefing looks at the traits such companies share.
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The MIT Center for Information Systems Research (CISR) has published a new report identifying four capabilities that companies described as “real-time” businesses.
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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.
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By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
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The key to unlocking new digital value is aligning a reorganization around four levers: customer, capability, commercialization, and component.