More skills are needed to help AI plug skills gaps

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Artificial intelligence -- and related forms of high-level automation and analytics -- have become the tool of choice for helping businesses plug their ever-persistent talent gaps. The catch is, however, businesses are struggling to find the skills necessary to identify, build, and deploy the AI and automation needed to resolve their skills shortages.

The main barrier, responding executives state, is the need for more AI and machine learning capability and the talent required to manage data effectively. 

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The issue or obstacle most often faced is a shortage of skilled talent, cited by 67%, followed by algorithm or model failure (61%) and cost of implementation (57%). 

"AI and machine learning is smart -- but it isn't ready to implement itself," the survey report's authors point out. "It's difficult to find skilled people who can work with the technology and the data to optimize outcomes."   

To address these issues, 82% of respondents said they have made efforts to recruit employees with AI and machine learning skills in the past 12 months, while 86% have grown their AI and machine learning workforce in the past 12 months.    

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