{"id":41322,"date":"2026-02-27T16:02:07","date_gmt":"2026-02-27T16:02:07","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&p=41322"},"modified":"2026-02-27T16:02:07","modified_gmt":"2026-02-27T16:02:07","slug":"roundtable-industry-focus-21-05-26","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/roundtable-industry-focus-21-05-26\/","title":{"rendered":"Industry Focus: Utilities: Earning Business Buy-In for Data and AI Ownership"},"content":{"rendered":"

This event is designed for DataIQ clients only. If you’re a client, you can sign up via the DataIQ Hub.<\/a> If you are not a client yet, you can find our more here.<\/a><\/p>\n

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Roundtable format:<\/strong><\/p>\n

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

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Questions:\u00a0<\/span><\/b>\u00a0<\/span><\/p>\n

    \n
  1. What has worked to secure\u00a0real business\u00a0ownership of data (not just agreement in principle), and how have teams made those responsibilities stick over time?<\/span>\u00a0<\/span><\/li>\n
  2. How are teams translating \u201cAI-ready data foundations\u201d into outcomes the business cares about?<\/span>\u00a0<\/span><\/li>\n
  3. Where do data and AI teams draw the line between enabling and owning, especially when stakeholders expect IT\/data to \u201cfix it\u201d,\u00a0and what governance model has reduced friction rather than adding it?<\/span>\u00a0<\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Explore how data and AI teams build durable business partnership, so ownership, governance, and investment become shared commitments rather than data team initiatives. <\/p>\n","protected":false},"author":419,"featured_media":41324,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[],"pillar":[],"false":[418],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-41322","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","mec_category-masterclass"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41322","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=41322"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41322\/revisions"}],"predecessor-version":[{"id":41326,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41322\/revisions\/41326"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/41324"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=41322"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=41322"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=41322"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=41322"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=41322"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=41322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}