{"id":2372,"date":"2025-05-30T09:14:08","date_gmt":"2025-05-30T09:14:08","guid":{"rendered":"https:\/\/artelnics.com\/?post_type=case_researchs&#038;p=2372"},"modified":"2026-07-22T10:06:20","modified_gmt":"2026-07-22T10:06:20","slug":"advanced-predictive-analytics-system-with-cloud-computing-neural-designer","status":"publish","type":"case_researchs","link":"https:\/\/artelnics.com\/case_researchs\/advanced-predictive-analytics-system-with-cloud-computing-neural-designer\/","title":{"rendered":"Advanced predictive analytics system with cloud computing (Neural Designer)"},"content":{"rendered":"<style id=\"atl-opennn-style\">@import url('https:\/\/fonts.googleapis.com\/css2?family=Roboto:wght@400;500;700;800;900&display=swap');\/* codex-artelnics-opennn-visual-sync-v5 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UI\",Arial,sans-serif!important;font-size:14px!important;font-weight:700!important}.cky-btn-accept{background:#1E5374!important;border-color:#1E5374!important;color:#FFFFFF!important}.cky-btn-reject,.cky-btn-customize{background:#FFFFFF!important;border:1px solid #1E5374!important;color:#1E5374!important}.cky-btn:hover{opacity:1!important;box-shadow:none!important}@media(max-width:767px){.cky-consent-container{left:16px!important;right:16px!important;bottom:16px!important;width:auto!important;max-width:none!important}.cky-notice-btn-wrapper{flex-direction:column!important}.cky-btn{width:100%!important}}\/* codex-artelnics-opennn-visual-sync-v5-overrides-end *\/<\/style>\n<p><a href=\"\/case_researchs\">\u2039 Back to Case Research<\/a><\/p>\n<h3><strong>Project Objectives<\/strong><\/h3>\n<p>The central objective of this project was to transform Neural Designer into the market&#8217;s leading and most cutting-edge predictive analytics tool. To achieve this, a primary challenge was for the software to incorporate an advanced model selection framework capable of representing highly complex datasets.&nbsp;<\/p>\n<p>The efficiency of these algorithms was crucial, which implies that Neural Designer must support the latest big data and big computing technologies. Furthermore, the aim was for the software to be fully integrated into the cloud to eliminate any hardware limitations for the end-user.&nbsp;<\/p>\n<p>Another fundamental objective was to optimize the user experience, offering a more attractive design and clear, simplified documentation.&nbsp;<\/p>\n<p>Finally, the project seeks to refine the business model with an adapted product offering (Desktop, Cloud, Server) and effectively position Neural Designer in the global market, boosting both projects and sales.<\/p>\n<p><\/p>\n<h3><strong>Results Achieved<\/strong><\/h3>\n<p>Regarding the results, new versions of Neural Designer now include three different model selection methods, developed with the assistance of the Research Group from the University of Burgos.&nbsp;<\/p>\n<p>To ensure efficiency, connection to data servers has been achieved, and high-performance computing techniques have been implemented, significantly reducing calculation times, all through collaboration with the BSC via the European POP and SHAPE Projects.<\/p>\n<p>&nbsp;A key accomplishment has been the software&#8217;s integration into the marketplaces of leading cloud providers such as Amazon Web Services and Microsoft Azure. The user experience has also been notably improved by simplifying the software&#8217;s structure and usage, implementing a more visually appealing design, and optimizing documentation.&nbsp;<\/p>\n<p>On the commercial front, Neural Designer&#8217;s business model has been refined, creating Desktop, Cloud, and Server products. Positioning efforts have yielded excellent results, multiplying website visits and the number of product users.&nbsp;<\/p>\n<p>Finally, Artelnics has successfully completed several projects with leading companies like Seat and Acciona, which has allowed for a better understanding of client needs, and has sold approximately 60 software licenses to clients in various countries and sectors.<\/p>\n<nav class=\"codex-research-cta\" aria-label=\"Research programme actions\">\n<div><strong>Explore more research programmes<\/strong><span>See related public programmes or talk with the Artelnics team.<\/span><\/div>\n<div class=\"codex-research-actions\"><a href=\"https:\/\/artelnics.com\/case_researchs\/\">View programmes<\/a><a href=\"https:\/\/artelnics.com\/contact\/\">Talk to us<\/a><\/div>\n<\/nav>\n<style id=\"codex-case-research-polish-v1\">body.single-case_researchs,body.single-case_researchs #page,body.single-case_researchs .site,body.single-case_researchs 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