{"id":53330,"date":"2026-01-07T09:56:54","date_gmt":"2026-01-07T07:56:54","guid":{"rendered":"https:\/\/ek.biem.sumdu.edu.ua\/?p=53330"},"modified":"2026-01-07T09:58:37","modified_gmt":"2026-01-07T07:58:37","slug":"generative-ai-in-business-from-hype-to-strategic-effectiveness","status":"publish","type":"post","link":"https:\/\/ek.biem.sumdu.edu.ua\/en\/generative-ai-in-business-from-hype-to-strategic-effectiveness","title":{"rendered":"Generative AI in business: from hype to strategic effectiveness"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"53330\" class=\"elementor elementor-53330 elementor-53322\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-024a783 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"024a783\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-de6dc1d\" data-id=\"de6dc1d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4257fe8 elementor-widget elementor-widget-text-editor\" data-id=\"4257fe8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>According to analysts&#8217; forecasts, by 2030, the generative artificial intelligence (GenAI) industry will reach a capitalisation of $356 billion. This is a clear signal: AI is no longer just an experiment with chatbots, but a key element of the operational efficiency of modern business.<\/p><p>\u2753 Why do businesses choose GenAI?<\/p><p>Generative AI works at the intersection of NLP (natural language processing) and machine learning, allowing you to create unique content: from code and SEO texts to complex designs and synthetic data.<\/p><p>\ud83d\udd11 Key areas of implementation:<\/p><ul><li>content generation: automation of product descriptions and marketing strategies<\/li><li>product development: use of neural networks to improve code and analyse market trends<\/li><li>customer service: implementation of intelligent assistants that respond to queries 24\/7<\/li><\/ul><p>\ud83d\ude80 How to start implementation?<\/p><p>The process of creating your own AI business model includes stages that are critical for cyberneticists:<\/p><ul><li>Task prioritisation: start with low-risk routine automation (planning, data entry).<\/li><li>Working with data: this is the foundation. This stage includes collecting, cleaning, labelling, and distributing data into training, verification, and test sets.<\/li><li>Choosing algorithms: using transformer architectures, GANs (generative adversarial networks), or variational autoencoders (VAEs) depending on the type of task.<\/li><li>Deployment: integration of the trained model into the production environment via cloud computing.<\/li><\/ul><p>For students and specialists in economic cybernetics, the implementation of generative AI is a striking example of how modern data, algorithms, and management decisions are combined in real business cases and shape the skills of the future.<\/p><p>Information prepared based on materials from ChatGPT Academy: <a href=\"https:\/\/www.chatgptacademy.online\/sfery-vykorystannya-ai\/biznes\/efektyvni-strategiyi-vprovadzhennya-generatyvnogo-shi-v-biznes\/\" class=\"external external_icon\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/www.chatgptacademy.online\/sfery-vykorystannya-ai\/biznes\/efektyvni-strategiyi-vprovadzhennya-generatyvnogo-shi-v-biznes\/<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>According to analysts&#8217; forecasts, by 2030, the generative artificial intelligence (GenAI) industry will reach a capitalisation of $356 billion. This is a clear signal: AI is no longer just an [&hellip;]<\/p>\n","protected":false},"author":60,"featured_media":53329,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":"","_wp_rev_ctl_limit":""},"categories":[204],"tags":[],"class_list":["post-53330","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-helpful-tips"],"_links":{"self":[{"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/posts\/53330","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/comments?post=53330"}],"version-history":[{"count":0,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/posts\/53330\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/media\/53329"}],"wp:attachment":[{"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/media?parent=53330"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/categories?post=53330"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ek.biem.sumdu.edu.ua\/en\/wp-json\/wp\/v2\/tags?post=53330"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}