{"id":14947,"date":"2023-06-28T00:00:00","date_gmt":"2023-06-27T23:00:00","guid":{"rendered":"https:\/\/members.dataiq.global\/articles\/is-your-data-team-ready-for-generative-ai\/"},"modified":"2023-06-28T00:00:00","modified_gmt":"2023-06-27T23:00:00","slug":"is-your-data-team-ready-for-generative-ai","status":"publish","type":"article","link":"https:\/\/www.dataiq.global\/devstage\/articles\/is-your-data-team-ready-for-generative-ai\/","title":{"rendered":"Is your data team ready for generative AI?"},"content":{"rendered":"<p>\u201cTake our <a href=\"\/generative-ai-indicator\" target=\"_blank\" rel=\"noreferrer noopener\">DataIQ Indicator<\/a> assessment to understand how ready your data team is to take full advantage of the benefits of generative AI,\u201d said Peter Galdies, director, DataIQ. \u201cThe assessment asks 12 simple questions that look at the management practices and structures required for good adoption of this game-changing technology. AI will be an integral part of data and analytics, and this is the perfect way to begin the journey.\u201d\u00a0\u00a0<\/p>\n<p>Multiple organisations have already benefitted from taking the <a href=\"\/generative-ai-indicator\" target=\"_blank\" rel=\"noreferrer noopener\">indicator test<\/a>, which can be completed in just a few minutes, and are now amending their data journey to prepare for and AI future.\u00a0\u00a0<\/p>\n<p>By being able to examine which areas of the business need most preparation, investment and nurturing to fully harness the power of new AI tools, data leaders and data teams can efficiently and effectively upskill a business. Through the <a href=\"\/generative-ai-indicator\" target=\"_blank\" rel=\"noreferrer noopener\">DataIQ Generative AI Indicator test<\/a>, individuals and teams at organisations of all sizes and levels of maturity can receive expert insight into their data AI journey to ensure they can flourish in this new era.\u00a0\u00a0<\/p>\n<p>Generative AI has been a huge topic of conversation for DataIQ members in recent weeks as evidenced by <a href=\"\/members-content\/dataiq-members-briefing--chatgpt-what-the-dataiq-community-thinks\" target=\"_blank\" rel=\"noreferrer noopener\">three fully booked roundtable discussions<\/a> on the topic, as well as a <a href=\"\/members-content\/dataiq-advisory-report--generative-ai-how-to-land-your-project-with-an-ai-co-pilot\" target=\"_blank\" rel=\"noreferrer noopener\">whitepaper<\/a> created by DataIQ, input from its members and its advisory board. Access to all these peer-to-peer insights is for members only. To become a DataIQ member and receive early access to reports, as well as taking an active role in data leadership discussions, click <a href=\"\/membership\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The next era of AI tools is being implemented, but businesses must evaluate whether their team and organisation is prepared for a future involving generative AI.<\/p>\n","protected":false},"author":19,"featured_media":4962,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"categories":[129,398],"tags":[217,169,218,234,231,121,91,224],"pillar":[],"class_list":["post-14947","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-editorial","category-public","tag-ai","tag-analytics-and-insight","tag-artificial-intelligence","tag-culture-and-skills","tag-generative-ai","tag-skills","tag-technology","tag-technology-and-tools"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-21 02:49:43","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\/article\/14947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=14947"}],"version-history":[{"count":0,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/14947\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/4962"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=14947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/categories?post=14947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=14947"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=14947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}