New study shows why AI adoption may be slow
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In the short term, artificial intelligence systems may be too costly to use for most tasks.
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In the short term, artificial intelligence systems may be too costly to use for most tasks.
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A LinkedIn analysis predicts that the jobs of 55% of the platform’s users will be impacted in some way by the adoption of generative AI.
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Generative artificial intelligence can help designers come up with new ideas, according to a new study.
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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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Société Générale is experimenting with generative artificial intelligence to achieve business outcomes.
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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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Artificial intelligence can improve data integrity, provide stronger predictions in the supply chain, and give finance leaders more time to focus on strategy.
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In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”
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A “red light, yellow light, green light” framework can help companies streamline AI governance and decision-making.
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.