{"id":42644,"date":"2025-07-23T12:49:20","date_gmt":"2025-07-23T10:49:20","guid":{"rendered":"https:\/\/optit.net\/caso-duso\/eni\/"},"modified":"2026-07-15T17:46:38","modified_gmt":"2026-07-15T15:46:38","slug":"eni","status":"publish","type":"caso-duso","link":"https:\/\/optit.net\/en\/what-we-do\/use-cases\/eni\/","title":{"rendered":"Co-designing and accelerating algorithms for the energy transition"},"content":{"rendered":"<p>For global energy players, the <strong>green transition<\/strong> and <strong>operational efficiency<\/strong> demand turning massive data flows into stable industrial decisions.<\/p>\n<p>Within elite units such as Eni&#8217;s Digital Excellence team, the critical challenge is bridging the gap between advanced theoretical research and its practical application in core processes. Internal innovation teams often face a twofold obstacle: the <strong>need for highly specialist mathematical<\/strong> and data engineering skills, and the <strong>need to validate models quickly<\/strong> without slowing operational cycles.<\/p>\n<p>Without a strategic partner able to prototype and test complex algorithms promptly, valuable insight risks being lost, delaying the adoption of the predictive and prescriptive solutions needed to <strong>stay competitive<\/strong> in fast-changing markets.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Embedding Decision Science within the Digital Excellence unit to validate predictive and prescriptive prototypes at industrial scale.<\/p>\n","protected":false},"featured_media":42643,"template":"","mercati":[816],"servizi":[932,908,820],"class_list":["post-42644","caso-duso","type-caso-duso","status-publish","has-post-thumbnail","hentry","mercato-energy","servizio-ai-data-science-accelerator","servizio-ai-powered-consulting-en","servizio-custom-solutions"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Co-designing and accelerating algorithms for the energy transition | Casi d&#039;uso | OPTIT<\/title>\n<meta name=\"description\" content=\"Embedding Decision Science within the Digital Excellence unit to validate predictive and prescriptive prototypes at industrial scale.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/optit.net\/en\/what-we-do\/use-cases\/eni\/\" \/>\n<meta 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