{"id":65381,"date":"2026-01-20T11:05:41","date_gmt":"2026-01-20T11:05:41","guid":{"rendered":"https:\/\/youzum.net\/going-beyond-pilots-with-composable-and-sovereign-ai\/"},"modified":"2026-01-20T11:05:41","modified_gmt":"2026-01-20T11:05:41","slug":"going-beyond-pilots-with-composable-and-sovereign-ai","status":"publish","type":"post","link":"https:\/\/youzum.net\/fr\/going-beyond-pilots-with-composable-and-sovereign-ai\/","title":{"rendered":"Going beyond pilots with composable and sovereign AI"},"content":{"rendered":"<p>Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production.<\/p>\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/MITTRIUniphore-article.pdf\" target=\"_blank\" rel=\" noreferrer noopener\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1200\" height=\"660\" src=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/Uniphore-Landing-Page-Card.png?w=1200\" alt=\"\" class=\"wp-image-1131427\" \/><\/a><\/figure>\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-fc4fd283 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-auto is-style-fill is-style-fill--1\"><a class=\"wp-block-button__link has-mittr-white-color has-text-color has-background has-custom-font-size wp-element-button\" href=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/MITTRIUniphore-article.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">DOWNLOAD THE ARTICLE<\/a><\/div>\n<\/div>\n<p>The bottleneck is not the models themselves. What\u2019s holding enterprises back is the surrounding infrastructure: Limited data accessibility, rigid integration, and fragile deployment pathways prevent AI initiatives from scaling beyond early LLM and RAG experiments. In response, enterprises are moving toward composable and sovereign AI architectures that lower costs, preserve data ownership, and adapt to the rapid, unpredictable evolution of AI\u2014a shift IDC expects 75% of global businesses to make by 2027.<\/p>\n<h3 class=\"wp-block-heading\">The concept to production reality<\/h3>\n<p>AI pilots almost always work, and that\u2019s the problem. Proofs of concept (PoCs) are meant to validate feasibility, surface use cases, and build confidence for larger investments. But they thrive in conditions that rarely resemble the realities of production.<\/p>\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/MITTRIUniphore-article.pdf\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" width=\"730\" height=\"660\" src=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/Uniphore-chart.png\" alt=\"\" class=\"wp-image-1131431\" \/><\/a><figcaption class=\"wp-element-caption\">Source: Compiled by MIT Technology Review Insights with data from Informatica, CDO Insights 2025 report, 2026<\/figcaption><\/figure>\n<p>\u201cPoCs live inside a safe bubble\u201d observes Cristopher Kuehl, chief data officer at Continent 8 Technologies. Data is carefully curated, integrations are few, and the work is often handled by the most senior and motivated teams.<\/p>\n<p>The result, according to Gerry Murray, research director at IDC, is not so much pilot failure as structural mis-design: Many AI initiatives are effectively \u201cset up for failure from the start.\u201d<\/p>\n<p><em><a href=\"https:\/\/wp.technologyreview.com\/wp-content\/uploads\/2026\/01\/MITTRIUniphore-article.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Download the article.<\/a><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production. DOWNLOAD THE ARTICLE The bottleneck is not the models themselves. What\u2019s holding enterprises back is the surrounding infrastructure: Limited data accessibility, rigid integration, and fragile deployment pathways prevent AI initiatives from scaling beyond early LLM and RAG experiments. In response, enterprises are moving toward composable and sovereign AI architectures that lower costs, preserve data ownership, and adapt to the rapid, unpredictable evolution of AI\u2014a shift IDC expects 75% of global businesses to make by 2027. The concept to production reality AI pilots almost always work, and that\u2019s the problem. Proofs of concept (PoCs) are meant to validate feasibility, surface use cases, and build confidence for larger investments. But they thrive in conditions that rarely resemble the realities of production. Source: Compiled by MIT Technology Review Insights with data from Informatica, CDO Insights 2025 report, 2026 \u201cPoCs live inside a safe bubble\u201d observes Cristopher Kuehl, chief data officer at Continent 8 Technologies. Data is carefully curated, integrations are few, and the work is often handled by the most senior and motivated teams. The result, according to Gerry Murray, research director at IDC, is not so much pilot failure as structural mis-design: Many AI initiatives are effectively \u201cset up for failure from the start.\u201d Download the article.<\/p>","protected":false},"author":2,"featured_media":65382,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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NU","author_link":"https:\/\/youzum.net\/fr\/members\/adminnu\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/youzum.net\/fr\/category\/ai-club\/\" rel=\"category tag\">AI<\/a> <a href=\"https:\/\/youzum.net\/fr\/category\/committee\/\" rel=\"category tag\">Committee<\/a> <a href=\"https:\/\/youzum.net\/fr\/category\/news\/\" rel=\"category tag\">News<\/a> <a href=\"https:\/\/youzum.net\/fr\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","rttpg_excerpt":"Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production. DOWNLOAD THE ARTICLE The bottleneck is not the models themselves. What\u2019s holding enterprises back is the surrounding infrastructure: Limited\u2026","_links":{"self":[{"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/posts\/65381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/comments?post=65381"}],"version-history":[{"count":0,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/posts\/65381\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/media\/65382"}],"wp:attachment":[{"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/media?parent=65381"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/categories?post=65381"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/youzum.net\/fr\/wp-json\/wp\/v2\/tags?post=65381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}