{"id":29177,"date":"2025-02-11T14:45:27","date_gmt":"2025-02-11T14:45:27","guid":{"rendered":"https:\/\/www.dataiq.global\/?page_id=29177"},"modified":"2026-02-19T09:08:10","modified_gmt":"2026-02-19T09:08:10","slug":"recognition-dataiq-100","status":"publish","type":"page","link":"https:\/\/www.dataiq.global\/devstage\/recognition-dataiq-100\/","title":{"rendered":"Recognition – The DataIQ 100"},"content":{"rendered":"\t\t
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The most influential people in data and AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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See who are the most influential people in data and AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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DataIQ 100 Europe<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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DataIQ 100 Americas<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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DataIQ 100 Alumni<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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The DataIQ 100 is the first and only fully curated power list of the most influential data and analytics practitioners. Launched in 2014, the DataIQ 100 has been tracking the rise of Chief Data Officers, Chief Analytics Officers, Data Scientists, and AI experts from all niches and specialisms.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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About the 100<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Inclusion in the DataIQ 100 is a notable badge of honour and is widely referenced by the individuals who make the cut \u2013 you have likely seen it mentioned in data leader biographies and press releases from the organisations they represent. It is the data industry\u2019s comprehensive list of who\u2019s who, shining the spotlight on the finest minds and leaders currently in data and analytics.\u00a0\u00a0<\/p>\n

DataIQ uses a data-driven approach to select these individuals, analysing information from nominations, including factors like the scale and complexity of a leader’s work, and their tenure.\u00a0 This scoring system allows DataIQ to objectively assess each nominee’s impact and create a representative list of top data professionals.\u00a0 The goal is to highlight those who are demonstrably driving positive change within their organisations through data, analytics, and AI.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The most influential people in data and AI See who are the most influential people in data and AI DataIQ 100 Europe Find out more DataIQ 100 Americas Find out more DataIQ 100 Alumni Find out more The DataIQ 100 is the first and only fully curated power list of the most influential data and […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"categories":[1265,516],"tags":[1277,392,87,515],"folder":[204],"class_list":["post-29177","page","type-page","status-publish","hentry","category-rebrand","category-visitor","tag-careers","tag-dataiq-100","tag-leadership","tag-recognition"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-20 18:36:00","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pages\/29177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=29177"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pages\/29177\/revisions"}],"predecessor-version":[{"id":41163,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pages\/29177\/revisions\/41163"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=29177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/categories?post=29177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=29177"},{"taxonomy":"folder","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/folder?post=29177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}