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Fortune
Fortune
Shane Luke

The requirements for seizing generative AI advantages

(Credit: Getty Images)

When OpenAI launched ChatGPT in November 2022, generative artificial intelligence instantly went from esoteric curiosity to mainstream and provocative. Since then, the urgency to apply this technology across nearly all industries has only intensified. Applications as varied as rapid medical science discoveries (AI recently helped identify a new superbug-killing antibiotic), quicker coding in software development, or optimization of business processes to accelerate data-driven decision-making have all been part of this frenzied rush to ride this technology wave.

While AI has quickly become a topic of conversation in the business world, and business leaders are optimistic about its ability to augment the workforce and drive productivity, only 44% of organizations are rolling out or scaling up adoption, according to Workday’s C-Suite Global AI Indicator Report. Nearly half (49%) of CEOs say their organization is unprepared to adopt AI and machine learning (ML), because of a lack of tools, skills, and knowledge.

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