{"id":21143,"date":"2024-07-29T17:23:46","date_gmt":"2024-07-29T16:23:46","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&p=21143"},"modified":"2024-10-14T17:00:15","modified_gmt":"2024-10-14T16:00:15","slug":"masterclass-how-prepared-is-your-organisation-for-ai","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/masterclass-how-prepared-is-your-organisation-for-ai\/","title":{"rendered":"Masterclass – How prepared is your organisation for AI?"},"content":{"rendered":"

In June 2024, DataIQ\u2019s Chief Knowledge Officer, David Reed, published his second book, \u201cWinning with AI\u201d<\/strong>. The book celebrates the organisations that have managed to navigate the new landscape AI brings not just to their business but to society as a whole. Preparing for the adoption of AI requires buy-in from the C-suite, business stakeholders who are enabled, the right skill sets across the teams to support AI enablement, clarity on the use cases, embedded ethics and governance, and consideration of the environment. Our November conference earlier this month celebrated the stories of those who\u2019ve managed to achieve success. <\/span><\/p>\n

The DataIQ team<\/strong> will share our framework for measuring AI preparedness and the strategies that companies have adopted for initiating and embedding AI, as well as the critical aspects of governance and ethics.<\/span><\/p>\n

You can register for this webinar using this form.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Join us to hear the team at DataIQ cover latest framework for measuring AI preparedness, strategies that companies have adopted for initiating and embedding AI, as well as the critical aspects of governance and ethics.<\/p>\n","protected":false},"author":203,"featured_media":14948,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[217,484,85],"pillar":[193,197],"false":[418],"mec_speaker":[878,113,925],"mec_sponsor":[],"class_list":["post-21143","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","tag-ai","tag-data","tag-strategy","pillar-strategy","pillar-technology","mec_category-masterclass"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/21143","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\/203"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=21143"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/21143\/revisions"}],"predecessor-version":[{"id":23875,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/21143\/revisions\/23875"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/14948"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=21143"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=21143"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=21143"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=21143"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=21143"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=21143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}