{"id":6724,"date":"2025-09-10T05:02:28","date_gmt":"2025-09-10T05:02:28","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/10\/using-unified-semantic-layers-to-uncover-enterprise-data-171383-aspx\/"},"modified":"2025-09-10T05:02:28","modified_gmt":"2025-09-10T05:02:28","slug":"using-unified-semantic-layers-to-uncover-enterprise-data-171383-aspx","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/10\/using-unified-semantic-layers-to-uncover-enterprise-data-171383-aspx\/","title":{"rendered":"Using Unified Semantic Layers to Uncover Enterprise Data"},"content":{"rendered":"<p>    Using Unified Semantic Layers to Uncover Enterprise Data<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>Today&#8217;s enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly AI-ready,?the focus must shift to creating universal semantic architectures that support current analytics and future knowledge graph capabilities.<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><\/p>\n<p> \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/www.dbta.com\/Editorial\/News-Flashes\/Using-Unified-Semantic-Layers-to-Uncover-Enterprise-Data-171383.aspx\">Go to dbta<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using Unified Semantic Layers to Uncover Enterprise Data Today&#8217;s enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly AI-ready,?the focus must shift to creating universal semantic architectures that support current analytics and future knowledge graph capabilities. Go to dbta<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[60],"tags":[66],"class_list":["post-6724","post","type-post","status-publish","format-standard","hentry","category-dbta","tag-dbta"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6724"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=6724"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6724\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6724"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6724"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}