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    Focusing on key AI technologies, such as machine learning, natural language processing, generative AI, and robotics, the course will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise MIT expert instructors examine how artificial intelligence will complement and strengthen our workforce rather than just
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    Artificial Intelligence: Implications for Business Strategy Now updated with the latest, most relevant insights on generative AI from leading MIT experts Study the business impact of artificial intelligence (AI), machine learning (ML), and generative AI Upgrade your skills and insights to lead strategic decision making in changing industries
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    If organizations seek to scale AI across the business in coming years, however, now is the time to act This report explores the current state of enterprise AI adoption and offers a playbook for
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    Explore how strategic business objectives could benefit from an infusion of generative AI, as well as how individual productivity gains could be applied at scale Read: Bring Your Own AI — How to Balance Risks and Innovation USAA’s lessons in deploying generative AI internally
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    Suk-geun (SG) Chung, SK Telecom executive vice president and chief AI global officer, explains, “Joining the consortium presents a significant opportunity for SK Telecom to enhance its AI competitiveness in core business areas, including AI agents, AI semiconductors, data centers (AIDC), and physical AI,” says Chung “By collaborating with MIT and leveraging the SK AI R D Center as a
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    Significant challenges remain, however Many AI initiatives fail Seven out of 10 companies surveyed report minimal or no impact from AI so far Among the 90% of companies that have made some investment in AI, fewer than 2 out of 5 report business gains from AI in the past three years This number improves to 3 out of 5 when we include





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