{"id":10435,"date":"2025-11-25T14:25:24","date_gmt":"2025-11-25T13:25:24","guid":{"rendered":"https:\/\/cidai.eu\/esdeveniments\/presentacio-projecte-dimpacte-com-la-ia-ajuda-a-detectar-i-prevenir-el-frau-financer\/"},"modified":"2026-05-06T12:07:53","modified_gmt":"2026-05-06T10:07:53","slug":"presentacio-projecte-dimpacte-com-la-ia-ajuda-a-detectar-i-prevenir-el-frau-financer","status":"publish","type":"esdeveniment","link":"https:\/\/cidai.eu\/en\/events\/presentacio-projecte-dimpacte-com-la-ia-ajuda-a-detectar-i-prevenir-el-frau-financer\/","title":{"rendered":"Impact Project Presentation: \u201cHow AI Helps Detect and Prevent Financial Fraud\u201d"},"content":{"rendered":"<style>\na {<br \/>\n    text-decoration: none;<br \/>\n    color: #464feb;<br \/>\n}<br \/>\ntr th, tr td {<br \/>\n    border: 1px solid #e6e6e6;<br \/>\n}<br \/>\ntr th {<br \/>\n    background-color: #f5f5f5;<br \/>\n}<br \/>\n<\/style>\n<div>\n<p>Grup Caixa d\u2019Enginyers is a cooperative group offering credit, financial, and insurance services to professionals and companies throughout Spain, with more than 216,000 members. It collaborates with the Centre of Innovation in Data Technologies and Artificial Intelligence (CIDAI) on a pioneering project to strengthen financial security through artificial intelligence. It is the only banking institution integrated into CIDAI, demonstrating its commitment to innovation and to driving the Catalan AI ecosystem.<\/p>\n<p>The project aims to complement current fraud\u2011prevention systems with an internal model capable of analysing transactional behaviour and member profiles, detecting anomalous patterns that may indicate suspicious operations. This new approach, based on internal data and advanced analysis and modelling techniques, seeks to significantly reduce fraud risk and reinforce trust in digital processes.<\/p>\n<p>Throughout the initiative, all phases required to develop a robust and scalable system were addressed: from preparing a secure environment and analysing data sources, to algorithmic design, user profiling, preprocessing, and defining evaluation methodologies. The project culminates with the construction of a predictive model, its validation, and the development of a microservice designed to facilitate deployment in production environments.<\/p>\n<p>The results presentation offered a clear and practical vision of how artificial intelligence technologies can contribute to improving financial security, while opening new innovation opportunities for the local business ecosystem.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The project aims to complement current fraud\u2011prevention systems with an internal model capable of analysing transactional behaviour and member profiles, detecting anomalous patterns that may [&#8230;]<\/p>\n","protected":false},"featured_media":10212,"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-10435","esdeveniment","type-esdeveniment","status-publish","has-post-thumbnail","hentry","format-in-site","idioma-catalan"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - 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