{"id":31041,"date":"2022-01-10T17:07:02","date_gmt":"2022-01-10T14:07:02","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=31041"},"modified":"2026-03-28T00:07:21","modified_gmt":"2026-03-27T21:07:21","slug":"gulf-uniquely-placed-for-ai-innovation-as-50-of-data-workers-now-automate-manual-tasks","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/gulf-uniquely-placed-for-ai-innovation-as-50-of-data-workers-now-automate-manual-tasks\/","title":{"rendered":"Gulf uniquely placed for AI innovation as 50% of data workers now automate manual tasks"},"content":{"rendered":"\n

Despite strong progress, research shows that Gulf businesses struggle to unlock the value of AI innovation due to inconsistent staff training.<\/em><\/em><\/p>\n\n\n\n

ALRIYADH, KSA \u2014 January 10, 2022 \u2014\u00a0<\/strong>Alteryx, Inc.\u00a0(NYSE: AYX), the analytics automation company, today unveils new findings showing that the Gulf is uniquely placed to drive innovation post the pandemic. A staggering 50% of employees surveyed are now able to automate their day-to-day tasks, with 58% able to\u00a0produce faster results through the use of analytics technology compared to five years ago. In comparison, just 16% of UK workers, and 24% of German workers confirm they are able to automate similar tasks. The Alteryx-commissioned YouGov research surveyed 300+ employees in the UAE and KSA who work with data in large companies.\u00a0<\/p>\n\n\n\n

Despite the core building blocks to success, the research shows that the region is still hindered by inconsistently applied training programmes, with only existing experts \u2013 such as  qualified data scientists – receiving vital data upskilling. Highlighting the scope of this need, 97% of Gulf workers agree that training needs to be made available to all<\/em> data workers in the region to truly unlock business value. <\/p>\n\n\n\n


Employees that lack formal training are increasingly operating in the dark \u2013 further overloading at-capacity data science teams.\u00a0Research highlights that data scientists spend a disproportionate amount of their time each week on tasks that could be completed by workers with less advanced skillsets using automation technology, and are stuck in a continuous loop of day-to-day tasks:<\/p>\n\n\n\n

With such a huge skills gap, the efforts of highly trained data scientists are being wasted. 97% of employees now say that data training should be expanded to all<\/em> data workers instead of remaining focused on existing data experts.  <\/p>\n\n\n\n

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\u201cWhile data is increasingly becoming the common language of business, few receive the training needed to deliver consistent benefit from it, with the remainder relegated to working in the dark,\u201d comments\u00a0Alan Jacobson, Chief Data and Analytic Officer at Alteryx<\/strong>. \u201cThe lack of foundational data skills remains a significant stumbling block on the Gulf\u2019s upward trajectory towards AI led innovation. Big data needs context and human intelligence when applied to AI. What we now see is an AI ethics conundrum. If not driven by data science, unintentional data biases can creep in, leading to perpetuated discriminatory practices, as well as inaccurate and inconsistent AI models.\u201d\u00a0<\/em><\/p>\n\n\n\n

\"Infographic<\/a><\/figure>\n\n\n\n


Core findings: <\/strong><\/strong><\/p>\n\n\n\n