AI skills are not the only ones that companies are demanding.
A survey published Tuesday with more than 750 senior leaders in Racerara and AWS technology revealed that three particular skills – Cloud, data and cybersecurity – classified above AI skills in critical importance.
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Some 95% of the participants said that cloud transformation is a key commercial objective over the next three years, while only 91% said the same for a generative AI.
AI is a “tool in your arsenal”, but having skills in other areas accelerates the way companies can take advantage of the new trendy technology, said Mustafa Furniturewala, CTO of Racera. “Having this domain expertise, having this skills set, actually increases IA skills very well.”
Cloud, data and cybersecurity are classified for several reasons, said Furniturewala:
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On the one hand, the transformation of cloud data is not yet over, he noted. “We are far from being in a mature state with it.”
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AI also accelerates the use of cloud technology, he noted. “Many more people are able to build now. They are able to use the cloud and AI and data in a much more accelerated way. ”
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In addition, while AI occupies a large part of the brain space of companies, other trends exist, said Furniturewala. “Security attacks have become more sophisticated, and therefore the need for cybersecurity has become more important, regardless of AI.”
Although all skills go hand in hand in broader technological transformation, he said, companies must still increase their workforce to deal with a rapid change.
Managers are dealing with two transformations, he said: one involves technology itself, and the other implies the staff who draw it. About 88% of the leaders interviewed agreed that investments in AI would not succeed without training, and 77% said that training was essential to achieve their technological objectives in the next 12 to 18 months.
While 72% said he expected the new hirings to understand how to take advantage of the AI, 74% have recognized that the new hires alone could not fill all IA skills gaps. “The simple fact of transforming technology without transforming the update will not produce advantages for the organization,” said Furniturewala.
So how can companies follow? One way is to provide workers with the tools to experiment with practical technology so that they “learn by doing,” said Furniturewala. Companies can implement technology directly in relevant work, carry out practical skills assessments and provide safe sand bins that allow employees to feel safe – and make mistakes.
“Learning in the flow is extremely important,” he said. “The more you integrate AI into your real workflows, the more you learn.”
Ensuring fears of replacement of AI can also make the workforce more comfortable strengthening their technological skills, he said. “Automation is an increase,” he said. “Despite increasing automation levels, leaders recognize that human contributions remain irreplaceable.”
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