{"id":41010,"date":"2026-02-09T17:17:27","date_gmt":"2026-02-09T17:17:27","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=41010"},"modified":"2026-02-09T17:17:27","modified_gmt":"2026-02-09T17:17:27","slug":"roundtable-data-competency-frameworks-02-03-2026","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/roundtable-data-competency-frameworks-02-03-2026\/","title":{"rendered":"Roundtable &#8211; Evolving Data Competency Frameworks for the AI Era: Lessons, Approaches, and Early Progress"},"content":{"rendered":"<p>This event is designed for DataIQ clients only. If you&#8217;re a client, you can sign up via the <a href=\"https:\/\/hub.dataiq.global\/events\/evolving-data-competency-frameworks-for-the-ai-era-lessons-approaches-and-early-progress\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a> If you are not a client yet, you can find our more <a href=\"https:\/\/www.dataiq.global\/devstage\/learn-more\">here.<\/a><\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><strong>Roundtable format:<\/strong><\/p>\n<p>Roundtables are 60-minutes, facilitated online discussions with maximum of 10 data leaders focused on the most pressing issues. They provide a trusted space to share experiences, test ideas, and learn from peers, with each session shaped around a topical theme.<\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><strong>Discussion questions:<\/strong><\/p>\n<ul>\n<li>How are organisations beginning to incorporate AI into existing data competency models, and what is driving the need for change?<\/li>\n<li>Are leaders developing new AI competency frameworks from scratch, or extending established data and analytics frameworks -and why?<\/li>\n<li>What early wins, pilots, or initiatives have proven most effective in building AI-related capability across roles?<\/li>\n<li>What common barriers have emerged (skills clarity, governance, culture), and what would organisations do differently if starting again?<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Discuss how organisations are evolving data competency frameworks for the era, sharing early progress, lessons, pilots, and challenges in building AI skills across the enterprise.<\/p>\n","protected":false},"author":419,"featured_media":41012,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[],"pillar":[],"false":[83],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-41010","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","mec_category-roundtable"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/mec-events"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/419"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=41010"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41010\/revisions"}],"predecessor-version":[{"id":41014,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41010\/revisions\/41014"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/41012"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=41010"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=41010"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=41010"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=41010"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=41010"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=41010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}