AI & ML
“ In the future your job will involve training , supervising and correcting the algorithm rather than completing the task yourself .”
As Akhil Seth , Head of Open Talent at UST , explains , AI is no longer simply a piece of innovative technology . “ In the maturity curve , it is now an implementation technology ,” he says . “ Companies should be looking to acquire a workforce that knows how to implement AI based solutions .
“ Having a workforce that is well acquainted with deep machine learning infrastructure skills as well as the critical thinking required to apply the technology to business initiatives will be critical in maintaining a competitive edge .”
The future is now : Tackling AI head-on In line with such rapid AI advancements , business leaders are now seeking to develop new strategies that adopt an AI-as-copilot approach . Put simply , this means having AI work alongside human employees .
IBM ’ s Jon Lester identifies three key emerging areas within AI that are already driving new skillsets , citing code generation , customer engagement and the concept of a hybrid workforce .
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