{"id":7283,"date":"2023-12-12T12:11:43","date_gmt":"2023-12-12T12:11:43","guid":{"rendered":"https:\/\/members.dataiq.global\/?post_type=article&#038;p=7283"},"modified":"2024-03-20T15:00:10","modified_gmt":"2024-03-20T15:00:10","slug":"the-foundations-needed-for-data-and-ai-led-growth","status":"publish","type":"article","link":"https:\/\/www.dataiq.global\/devstage\/articles\/the-foundations-needed-for-data-and-ai-led-growth\/","title":{"rendered":"The foundations needed for data- and AI-led growth"},"content":{"rendered":"<p><span data-contrast=\"auto\">Key findings of the report include:<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">80% of executives are expecting big efficiency gains from AI.\u00a0How are the data teams preparing the organisations for this change in operations?<\/span><\/li>\n<li>74%\u00a0of data teams\u00a0have\u00a0moved to a\u00a0lakehouse\u00a0architecture.\u00a0Discover\u00a0how\u00a0the data teams are\u00a0maximising their return on investment as budgets are\u00a0a sticking point for many organisations.<\/li>\n<li>88% of executives have\u00a0begun\u00a0investing in generative AI\u00a0tools.\u00a0Learn what the most common use cases are and whether a business should build or buy an LLM.<\/li>\n<li>The expenditure on AI in the next 12 months will increase on current spending by 25% as data leaders double-down on AI-led operations.<\/li>\n<li>Accuracy and integrity of data will become even more important as organisational data literacy rates increase and the democratisation of AI increases the need for exceptional governance.<span data-ccp-props=\"{\">\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span data-contrast=\"auto\">The findings of this\u00a0<\/span><a style=\"font-weight: 600;\" href=\"https:\/\/www.databricks.com\/resources\/analyst-papers\/laying-foundation-data-and-ai-led-growth?utm_source=mit&amp;utm_medium=press-release&amp;utm_campaign=7018y0000017mcxqau\" rel=\"nofollow noopener\" target=\"_blank\"><span data-contrast=\"none\">report<\/span><\/a><span data-contrast=\"auto\"> come from 600 data leaders across: the UK, France, Germany, Netherlands, Canada, USA, Australia, Japan, India, Singapore, South\u00a0Korea, and Israel,\u00a0providing\u00a0a global international viewpoint on how foundations for AI\u00a0growth need to be implemented.\u00a0<\/span><span data-ccp-props=\"{\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{\">\u00a0<\/span><\/p>\n<p><em>Click\u00a0<a style=\"font-weight: 600;\" href=\"https:\/\/www.databricks.com\/resources\/analyst-papers\/laying-foundation-data-and-ai-led-growth?utm_source=mit&amp;utm_medium=press-release&amp;utm_campaign=7018y0000017mcxqau\" rel=\"nofollow noopener\" target=\"_blank\">here<\/a>\u00a0to download the latest report and improve your own AI preparedness.\u00a0\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new report discovers how data leaders are laying the groundwork for future growth driven by AI insights.<\/p>\n","protected":false},"author":19,"featured_media":7284,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"categories":[129,131],"tags":[217,337,119,334,338,339,167,227],"pillar":[193],"class_list":["post-7283","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-editorial","category-member-articles","tag-ai","tag-data-foundations","tag-data-literacy","tag-databricks","tag-lakehouse","tag-llm","tag-organisation-and-culture","tag-report","pillar-strategy"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-21 01:21:54","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\/7283","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=7283"}],"version-history":[{"count":0,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/7283\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/7284"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=7283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/categories?post=7283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=7283"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=7283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}