BUSINESS STRATEGY candidates how they would design the project . Never forget the skills spectrum . While you do not want a unicorn , you do want each recruited AI professional to exhibit multiple abilities . Data scientists , for example , must have good communication skills and a sound knowledge of the business and statistical methods .
Next steps
Success in AI recruitment requires strict mapping of job descriptions ( which include technical and soft skills ) to business needs . Data teams are eclectic groups of different abilities and backgrounds . While this is true anywhere in the world , it is especially true of the GCC . All enterprises want to build a scalable and sustainable AI strategy . But they must balance their ambitions of future growth with the realities of acquiring and upskilling a talented team .
impossible to integrate these powerful capabilities in a way that will add long-lasting value . And it will be similarly problematic to build an inclusive and sustainable AI and data-democratisation culture . Collaborative , everyday AI enterprises emerge through everyday consideration of all things AI , and that includes the dos and don ’ ts of recruitment laid out above . x
Sid Bhatia , Regional VP & General Manager , Middle East , Turkey & Africa , Dataiku
As GenAI increases its hold on the regional business community , new strategies will emerge , but these initiatives call for a rethink of responsible AI , compliance and sustainability . It has never been more important to look at how AI fits into your business and how this relates to recruitment needs . Data science , Machine Learning and AI platforms must be implemented in a way that makes sense to the business . But without the right people – those who understand the technical side of solutions but also understand the business and can communicate and collaborate effectively – it will be next to
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