{"id":20260,"date":"2026-10-03T12:12:58","date_gmt":"2026-10-03T12:12:58","guid":{"rendered":"https:\/\/news.theck1.no\/?p=20260"},"modified":"2026-10-03T12:12:58","modified_gmt":"2026-10-03T12:12:58","slug":"redefining-enterprise-intelligence-with-autonomous-ai","status":"publish","type":"post","link":"https:\/\/news.theck1.no\/?p=20260","title":{"rendered":"Redefining enterprise intelligence with autonomous AI"},"content":{"rendered":"<p style=\"margin:0 0 1em; padding:0.6em 0.9em; border:1px solid #d0d7de; border-radius:6px; background:#f6f8fa; color:#444; font-size:0.9em;\"><strong>Excerpt:<\/strong> The opening of an article from MIT Technology Review. Read the original for the full story.<\/p>\n<div style=\"margin-bottom:1em; color:#666; font-size:0.9em;\"><strong>MIT Technology Review &bull; MIT Technology Review Insights &bull; October 2, 2026<\/strong><\/div>\n<hr\/>\n<p>Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year.<\/p>\n<p><!--more--><\/p>\n<p>For many enterprises, this investment has produced fragmentation. Intelligence can accumulate in silos so that sales agents are unaware of open support tickets, for instance, or marketing systems are personalizing content without visibility into what finance already knows about a customer.<\/p>\n<div style=\"margin-top:2em; padding:1em; border-left:4px solid #0073aa; background:#f5f7fa;\">\n<p style=\"margin:0;\"><strong>Source:<\/strong> MIT Technology Review &bull; MIT Technology Review Insights &bull; October 2, 2026<\/p>\n<p style=\"margin:0.5em 0 0;\"><a href=\"https:\/\/www.technologyreview.com\/2026\/10\/02\/1143774\/redefining-enterprise-intelligence-with-autonomous-ai\/\" target=\"_blank\" rel=\"noopener\">Read the original article at MIT Technology Review &rarr;<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Excerpt: The opening of an article from MIT Technology Review. Read the original for the full story. MIT Technology Review &bull; MIT Technology Review Insights &bull; October 2, 2026 Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the<\/p>\n<p class=\"more-link\"><a href=\"https:\/\/news.theck1.no\/?p=20260\" class=\"themebutton2\">READ MORE<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-20260","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/news.theck1.no\/index.php?rest_route=\/wp\/v2\/posts\/20260","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.theck1.no\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.theck1.no\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.theck1.no\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news.theck1.no\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20260"}],"version-history":[{"count":0,"href":"https:\/\/news.theck1.no\/index.php?rest_route=\/wp\/v2\/posts\/20260\/revisions"}],"wp:attachment":[{"href":"https:\/\/news.theck1.no\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.theck1.no\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.theck1.no\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}