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Out of necessity, the German consumer packaged goods company is putting generative AI at the core of its five-year digital transformation mission.
AI isn’t the only thing on the CIO’s plate, but continuing to invest in familiar IT essentials will pay off there, too.
IT leaders who dug in their heels during the rise of shadow IT can unlock innovation by taking a proactive approach to generative AI.
Generative AI is poised for production-scale in 2024, but data suggests organizations are still ramping up. These tips can help you vault ahead.
The two new features, still in the research phase, are expected to help developers do prompt engineering faster, thereby speeding up the development of generative AI applications.
The NFL’s Digital Athlete platform, built with partner AWS, uses computer vision and machine learning for predictive analytics to identify plays and body positions most likely to lead to player injury.
Despite the current level of hype and mainstream adoption, gen AI still needs to experience the trough of disillusionment before embarking on a path to peak productivity.
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Many questions still loom around the UK government’s evaluation of models voluntarily submitted for scrutiny by Microsoft, OpenAI, Google, and Meta.