{"id":401,"date":"2026-06-05T10:09:56","date_gmt":"2026-06-05T17:09:56","guid":{"rendered":"https:\/\/www.couchbase.com\/com-2026\/?p=401"},"modified":"2026-06-05T10:09:56","modified_gmt":"2026-06-05T17:09:56","slug":"the-state-of-enterprise-ai-development","status":"publish","type":"documents","link":"https:\/\/www.couchbase.com\/fr\/document\/the-state-of-enterprise-ai-development\/","title":{"rendered":"The State of Enterprise AI Development"},"content":{"rendered":"<p class=\"wp-block-paragraph\">What happens when the ambitious promises of AI run into the real-world challenges of performance, scalability, flexibility, and cost? UserEvidence surveyed over 600 product, engineering, data, and AI professionals to learn how their businesses are tackling AI implementation and agentic applications. Their independent report found that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>62% of organizations are already using GenAI in active projects or proofs of concept<\/li>\n\n\n<li>66% plan to deploy AI agents within a year, driven by FOMO and competitive pressure<\/li>\n\n\n<li>Short-term priorities may create substantial growing pains down the road<\/li>\n\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The report also reveals why businesses may be overconfident about their ability to address the riskiest issues of data and AI. Learn why a unified operational data platform is the secret to faster, easier, and more scalable AI innovation now and in the future.<\/p>\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\" style=\"margin-top:var(--wp--preset--spacing--lg)\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/info.couchbase.com\/rs\/302-GJY-034\/images\/COU_1470_State_of_Enterprise_A_Development_and_Infographic.pdf\" title=\"Obtenir le rapport\" target=\"_self\">Obtenir le rapport<\/a><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>What happens when the ambitious promises of AI run into the real-world challenges of performance, scalability, flexibility, and cost? UserEvidence surveyed over 600 product, engineering, data, and AI professionals to learn how their businesses are tackling AI implementation and agentic applications. Their independent report found that: The report also reveals why businesses may be overconfident [&hellip;]<\/p>\n","protected":false},"author":15093,"featured_media":0,"menu_order":0,"template":"single-document","meta":{"_acf_changed":false,"inline_featured_image":false,"_acf":"","footnotes":""},"document-tracks":[],"class_list":["post-401","documents","type-documents","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The State of Enterprise AI Development | Report<\/title>\n<meta name=\"description\" content=\"Survey-backed insights on GenAI motivations, early project successes, RAG implementation realities, and what separates AI leaders from laggards.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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