TRENDING
Not all employees need to become data scientists .
intelligent systems , so are leaders focused on the wrong recruitment priorities ?
• Only 33 % cite building human capacity and preparing for a labour market transition are important considerations for an AI world .
• While 74 % of respondents say it is more important for their employees to be multi-skilled than specialising in a specific area , upskilling priorities still favour hard skills over soft skills .
• Expertise in AI , software , data analysis and mining , and financial analysis and planning all ranked ahead of the most in-demand soft skills , including data literacy , strategic thinking , digital literacy and team leadership .
• 57 % cite creativity as the top skill humans will supply in a working world shaped by AI , followed by emotion ( 36 %), critical thinking ( 36 %) and morality ( 34 %). Yet only 18 % counted critical thinking and 18 % counted creativity in the top three in-demand skills .
“ The rapid rise of AI requires business leaders to build and shape the future workforce now to thrive or risk lagging behind in a future transformed by a seismic shift in the skills needed for the era of intelligence ,” said Libby Duane-Adams , Chief Advocacy Officer at Alteryx .
“ Not all employees need to become data scientists . It ’ s about championing cultures of creative problemsolving , learning to look at business problems through an analytic lens , and collaborating across all levels to empower employees to use data in everyday roles . Only through continuous investments in data literacy upskilling and training opportunities will businesses create the professional trajectories where everyone can ‘ speak data ’ and exploit AI applications for trusted , ethical outcomes .” p
24 INTELLIGENTCIO EUROPE www . intelligentcio . com