New AI lessons from MIT Sloan Management Review
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Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
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Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
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Firms need to be ready to make a significant investment in AI to see any gains, according to a new study.
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Four ways established companies can partner with xTechs to accelerate digital transformation and outperform the competition.
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As artificial intelligence takes off, all companies should be thinking about value creation, value capture, and value delivery.
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Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
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Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.
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Tough tech, which applies science and technology to the world’s biggest problems, is redefining industries.
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Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.
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Uncertainty will abound in 2023. Focus now on resilience, agility, examining external factors, and innovation in artificial intelligence.
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Capitalizing on Web3 may not be all that different from adapting to the virtual communities that emerged from Web2, one expert argues.