{"id":82843,"date":"2025-11-07T05:30:43","date_gmt":"2025-11-07T05:30:43","guid":{"rendered":"https:\/\/imatsolutions.com\/\/?page_id=82843"},"modified":"2025-12-30T23:35:45","modified_gmt":"2025-12-30T23:35:45","slug":"gartner-report-guide-to-deliver-ai-success-through-ai-ready-data","status":"publish","type":"page","link":"https:\/\/imatsolutions.com\/index.php\/news\/gartner-report-guide-to-deliver-ai-success-through-ai-ready-data\/","title":{"rendered":"Gartner Report: A Journey Guide to Deliver AI Success Through AI-Ready Data"},"content":{"rendered":"<h2><span class=\"date\" style=\"color: #bebebe;\">6 Nov:<\/span> Gartner\u00ae Report: A Journey Guide to Deliver AI Success Through AI-Ready Data<\/h2>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<p><strong>Build the data foundation your AI needs to deliver real outcomes<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>AI is moving fast, but most initiatives stall when the data is not ready. According to Gartner, &#8220;through 2026, organizations that don\u2019t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned.&#8221;<\/p>\n<p>&nbsp;<\/p>\n<p>This Gartner Journey Guide gives data and analytics leaders a practical path to make data clean, governed, and fit for AI so projects move from pilots to production at scale.<\/p>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<h3>Why this research matters<\/h3>\n<p>&nbsp;<\/p>\n<p>The research explains how to evolve data management, architecture, skills, and processes so AI use cases deliver on business service levels.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Key planning insights highlighted in the report<\/strong>:<br \/>\n<small>\u2022 Through 2026, organizations that don\u2019t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned.<br \/>\n\u2022 Through 2026, thirty percent of generative AI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value.<br \/>\n\u2022 Through 2027, data management tool providers failing to leverage GenAI will exhibit 10% revenue erosion annually.<br \/>\n\u2022 Through 2027, GenAI will reduce manually intensive data management costs up to 30% each year while enabling four times as many new use cases.<\/small><\/p>\n<p>&nbsp;<\/p>\n<p><strong>What you can learn<\/strong>:<br \/>\n<small>\u2022 How to assess data readiness for AI using a maturity approach that aligns data to each use case.<br \/>\n\u2022 How to support unstructured data for AI, including retrieval augmented generation as a service.<br \/>\n\u2022 The skills, roles, and operating model changes needed in the era of generative AI.<br \/>\n\u2022 How to establish practical AI governance that balances value and risk.<br \/>\n\u2022 How to build a clear business case and success metrics for AI ready data investment.<\/small><\/p>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<div align=\"center\">\n<p style=\"line-height:20px;\"><em>Gartner, A Journey Guide to Deliver AI Success Through AI-Ready Data,<br \/>Ehtisham Zaidi, Roxane Edjlali, 11 July 2025<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/imatsolutions.com\/\/wp-content\/uploads\/2025\/11\/gartner_report_11_25.jpg\" width=\"350\" height=\"486\" \/><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<div align=\"center\" style=\"line-height: 16px;\"><small>GARTNER is a registered trademark and service mark of Gartner, Inc. and\/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.<\/small><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>6 Nov: Gartner\u00ae Report: A Journey Guide to Deliver AI Success Through AI-Ready Data &nbsp; &nbsp; Build the data foundation your AI needs to deliver real outcomes &nbsp; AI is moving fast, but most initiatives stall when the data is not ready. According to Gartner, &#8220;through 2026, organizations that don\u2019t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs&#8230;<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":88,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-82843","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gartner Report: A Journey Guide to Deliver AI Success Through AI-Ready Data - IMAT Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imatsolutions.com\/index.php\/news\/gartner-report-guide-to-deliver-ai-success-through-ai-ready-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gartner Report: A Journey Guide to Deliver AI Success Through AI-Ready Data - IMAT Solutions\" \/>\n<meta property=\"og:description\" content=\"6 Nov: Gartner\u00ae Report: A Journey Guide to Deliver AI Success Through AI-Ready Data &nbsp; &nbsp; Build the data foundation your AI needs to deliver real outcomes &nbsp; AI is moving fast, but most initiatives stall when the data is not ready. 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