Artificial Intelligence (AI) project fails: Stop blaming the talent gap
Hiring the right technical talent remains a significant roadblock to Artificial Intelligence (AI) adoption for enterprise organizations. According to a recent O’Reilly survey, slightly more than one-sixth of respondents cited difficulty in hiring and retaining professionals with AI skills as a significant barrier to AI adoption in their organizations.
While the talent gap remains a large part of the dialog, this number has decreased from the previous year, signaling that other challenges are becoming top of mind for businesses exploring and deploying AI projects.
Still, the technical skills gap isn’t the biggest impediment to AI adoption, nor is it the reason so many AI projects fail. In fact, according to the same O’Reilly survey, respondents identified a lack of institutional support as the biggest problem, followed by difficulties in identifying appropriate business use cases.
Of course, this is a harder pill to swallow: It means the real challenge lies with us rather than with a limited number of professionals equipped to do the job. Read On:
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