{"id":1753,"date":"2024-02-27T10:09:37","date_gmt":"2024-02-27T10:09:37","guid":{"rendered":"https:\/\/geneea.com\/news\/?p=1753"},"modified":"2026-02-04T22:40:19","modified_gmt":"2026-02-04T22:40:19","slug":"wan-ifras-data-science-day","status":"publish","type":"post","link":"https:\/\/geneea.com\/news\/wan-ifras-data-science-day","title":{"rendered":"WAN-IFRA\u2019s Data Science Day"},"content":{"rendered":"\n<p>We recently participated in WAN-IFRA&#8217;s Data Science Day and exchanged experiences about AI and LLMs with professionals from the news industry!<\/p>\n\n\n\n<p>Even though we use AI and large language models in our customer projects on a daily basis, we can&#8217;t test all the rapidly emerging AI technologies and LLM developments. Fortunately, events like last week&#8217;s <a href=\"https:\/\/wan-ifra.org\/events\/data-science-day-2024\/\">Data Science Day <\/a>organized by <a href=\"https:\/\/wan-ifra.org\/\">WAN-IFRA<\/a> in Prague allow us to exchange insights with our colleagues from the media sector.&nbsp;<\/p>\n\n\n\n<p>We met data experts from media houses all over Europe. While we enjoyed their case studies and engaging presentations, the best part was the workshops and roundtable discussions about first-hand experiences with data, AI, and other trends. We discussed the challenges we all face and shared our strategies for tackling them.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Many media houses are experimenting with retrieval augmented generation (RAG) to improve access to relevant information in their archives, a task that becomes increasingly complex with extensive archives, such as the 200-year collection at Mediahuis (thank you, Bart and Lisa, for sharing your experiences with such a project).<\/li>\n\n\n\n<li>Personalization of content for the audience is an inevitable approach online media has to take, and Generative AI and tailored personalization algorithms make it so much easier.<\/li>\n<\/ul>\n\n\n\n<p>The consensus is clear: embracing data, undergoing digital transformation, and automating processes represent the future for media. If you are interested in how we at Geneea are helping media houses on their journey, don&#8217;t hesitate to <a href=\"https:\/\/geneea.com\/#contact\">contact us<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We recently participated in WAN-IFRA&#8217;s Data Science Day and exchanged experiences about AI and LLMs with professionals from the news industry! Even though we use AI and large language models in our customer projects on a daily basis, we can&#8217;t test all the rapidly emerging AI technologies and LLM developments. Fortunately, events like last week&#8217;s&#8230;<\/p>\n","protected":false},"author":15,"featured_media":1762,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[386,344],"tags":[244,531,525,413],"class_list":["post-1753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-shows","category-media","tag-ai","tag-media","tag-nlp-cs-en","tag-wan-ifra"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>WAN-IFRA\u2019s Data Science Day - Geneea News<\/title>\n<meta name=\"description\" content=\"Geneea\u2019s perspectives on AI advances, RAG-based tools, and practical data science applications to support journalists and editorial efficiency.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geneea.com\/news\/wan-ifras-data-science-day\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"WAN-IFRA\u2019s Data Science Day - 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