{"id":3885,"date":"2025-10-15T16:11:25","date_gmt":"2025-10-15T13:11:25","guid":{"rendered":"https:\/\/genaisa.eu\/?p=3885"},"modified":"2025-10-15T16:11:25","modified_gmt":"2025-10-15T13:11:25","slug":"turning-ai-into-advantage-how-genaisa-helps-marketing-teams-upskill","status":"publish","type":"post","link":"https:\/\/genaisa.eu\/lt\/turning-ai-into-advantage-how-genaisa-helps-marketing-teams-upskill\/","title":{"rendered":"Dirbtinio intelekto pavertimas prana\u0161umu: kaip \u201eGenAISA\u201c padeda rinkodaros komandoms tobul\u0117ti"},"content":{"rendered":"
(by Konstantinos I. Kyritsis, Research & Development Engineer, Code.Hub)<\/em><\/p>\n\n\n\n AI Creates New Opportunities for Marketers<\/strong><\/p>\n\n\n\n In marketing, speed and effectiveness often pull in opposite directions. Today\u2019s competitive pace and always-on channels pressure teams to produce attention-grabbing content at an ever-increasing rate.<\/p>\n\n\n\n The evolution of generative AI presents significant opportunities for marketers to accelerate output without sacrificing quality – creating a competitive advantage for early adopters and posing a risk for those who fail to adapt.<\/p>\n\n\n\n GenAISA VET courses, designed for professionals without a technical background, offer an accessible way to explore the latest advancements in AI and discover how they can be applied effectively in the workplace.<\/p>\n\n\n\n How Marketing Teams Benefit from Generative AI<\/strong><\/p>\n\n\n\n From ideation and image creation to copy refinement, review, and engagement data analysis, GenAISA\u2019s hands-on modules provide practical guidance on using AI to reduce effort from hours to minutes. Effective prompt engineering enhances quality and brand consistency, while analytics modules teach marketers how to validate AI outputs against real performance metrics.<\/p>\n\n\n\n A built-in focus on responsible AI, covering privacy, bias, and disclosure, helps reduce risk and build stakeholder trust.<\/p>\n\n\n\n Strategic Adoption is Key<\/strong><\/p>\n\n\n\n It is important to note that AI upskilling is not a magical solution. Teams still need clean data, clear briefs, and effective governance. Without ongoing practice, skills can quickly decay, and \u201ctool tourism\u201d – trying every new tool or model – can dilute focus.<\/p>\n\n\n\n Some creative professionals may resist what they perceive as the \u201cautomation of creativity,\u201d requiring change management support and clear role definitions. Additionally, vendor lock-in, undisclosed AI use, and biased outputs can pose significant reputational and brand risks if not properly managed.<\/p>\n\n\n\n Despite these challenges, with proper support and training, marketers can use AI to ethically scale personalization, pilot AI-assisted effectiveness testing at scale, and repurpose content across channels with minimal additional effort. This enables adopters to reallocate time from production to strategy, focusing on customer research, positioning, and lifecycle design, where human judgment truly shines.<\/p>\n\n\n\n One Final Word<\/strong><\/p>\n\n\n\n In this journey, GenAISA VET courses help marketers transform AI from sporadic experimentation into a disciplined capability. When combined with clear KPIs, prompt libraries, and a review-before-publish policy, this training enables marketing teams to turn AI-driven efficiency into sustainable brand and revenue outcomes. Closing this article, we encourage everyone interested in exploring how AI can help support their daily work to join our newsletter to keep up-to-date with upcoming articles and VET courses.<\/p>","protected":false},"excerpt":{"rendered":" (autorius Konstantinos I. Kyritsis, tyrim\u0173 ir pl\u0117tros in\u017einierius, \u201eCode.Hub\u201c) Dirbtinis intelektas sukuria nauj\u0173 galimybi\u0173 rinkodaros specialistams Rinkodaroje greitis ir efektyvumas da\u017enai duoda prie\u0161ing\u0173 pusi\u0173. \u0160iandieninis konkurencingas tempas ir nuolat veikiantys kanalai ver\u010dia komandas kurti d\u0117mes\u012f patraukiant\u012f turin\u012f vis didesniu grei\u010diu. Generatyviojo dirbtinio intelekto evoliucija suteikia rinkodaros specialistams dideli\u0173 galimybi\u0173 paspartinti produkcijos gamyb\u0105 be\u2026<\/p>","protected":false},"author":2,"featured_media":3886,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[12],"tags":[],"class_list":["post-3885","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generative-ai-insights"],"acf":[],"taxonomy_info":{"category":[{"value":12,"label":"Generative AI Insights"}]},"featured_image_src_large":["https:\/\/genaisa.eu\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-15-2025-04_08_14-PM.png",683,1024,false],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/ntsolev\/"},"comment_info":1,"category_info":[{"term_id":12,"name":"Generative AI Insights","slug":"generative-ai-insights","term_group":0,"term_taxonomy_id":12,"taxonomy":"category","description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","parent":0,"count":8,"filter":"raw","cat_ID":12,"category_count":8,"category_description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","cat_name":"Generative AI Insights","category_nicename":"generative-ai-insights","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3885","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=3885"}],"version-history":[{"count":1,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3885\/revisions"}],"predecessor-version":[{"id":3887,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3885\/revisions\/3887"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/3886"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=3885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=3885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=3885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}