{"id":34399,"date":"2025-04-11T10:34:37","date_gmt":"2025-04-11T09:34:37","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=34399"},"modified":"2025-04-11T10:34:37","modified_gmt":"2025-04-11T09:34:37","slug":"roundtable-ai-use-cases-12-05-25-364","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/roundtable-ai-use-cases-12-05-25-364\/","title":{"rendered":"Roundtable: Prioritising AI use cases for business impact"},"content":{"rendered":"<p>High-impact use cases for genAI should top the list for any function tasked with delivering a tangible ROI to the business from its investment into this new solution. As growing numbers of organisations look to scale out from successful proofs of concept, keeping a sharp focus on business goals, metrics and timescales will support sustainable genAI roll outs.<\/p>\n<p><strong>This roundtable will explore:<\/strong><\/p>\n<ul>\n<li>How to put transformational programmes at the head of the genAI demand funnel<\/li>\n<li>Why pursuing cost efficiencies and process improvements provides a foundation for demonstrating realistic gains<\/li>\n<li>What issues need to be tracked to ensure genAI delivers against its promise of success.<\/li>\n<\/ul>\n<p><strong>Why should you attend?<\/strong><\/p>\n<ul>\n<li>Learn from other practitioners and share your experiences within your peer group<\/li>\n<li>Create new contacts with other DataIQ members, extend your professional network into the wider community<\/li>\n<\/ul>\n<p><strong>Format<\/strong><\/p>\n<ul>\n<li>1 hour, digital roundtable delivered via Teams<\/li>\n<li>Closed forum, open discussion, recruiter and vendor-free, Chatham House rules<\/li>\n<li>Small and focused group of senior data leaders<\/li>\n<\/ul>\n<p><strong>Please be aware there are only limited places available on a first come, first served basis (one seat per member company). Priority will be given to senior data leaders and additional registrations will be added to a waitlist.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Join us to explore how to prioritize high-impact genAI use cases, build on efficiency gains, and track key issues to ensure scalable, ROI-driven success.<\/p>\n","protected":false},"author":419,"featured_media":29038,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[345],"pillar":[198,196],"false":[83],"mec_speaker":[1366],"mec_sponsor":[],"class_list":["post-34399","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-genai","pillar-governance","pillar-quality","mec_category-roundtable"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/34399","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=34399"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/34399\/revisions"}],"predecessor-version":[{"id":34407,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/34399\/revisions\/34407"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/29038"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=34399"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=34399"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=34399"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=34399"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=34399"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=34399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}