{"id":65815,"date":"2026-07-06T09:21:24","date_gmt":"2026-07-06T06:21:24","guid":{"rendered":"https:\/\/geoconversation.org\/news\/norilsk-nickel-evraz-and-gazprom-neft-show-how-ai-is-transforming-plants-and-mines\/"},"modified":"2026-07-06T09:30:10","modified_gmt":"2026-07-06T06:30:10","slug":"norilsk-nickel-evraz-and-gazprom-neft-show-how-ai-is-transforming-plants-and-mines","status":"publish","type":"news","link":"https:\/\/geoconversation.org\/en\/news\/norilsk-nickel-evraz-and-gazprom-neft-show-how-ai-is-transforming-plants-and-mines\/","title":{"rendered":"Norilsk Nickel, EVRAZ, and Gazprom Neft Show How AI Is Transforming Plants and Mines"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Russia&#8217;s largest industrial companies have shared real-world examples of artificial intelligence implementation in production. Yandex B2B Tech has brought together the experience of five major manufacturers in a single report, demonstrating that AI has moved beyond the experimental stage and is now delivering measurable business value in factories and mining operations.  <\/p>\n\n<p class=\"wp-block-paragraph\">The special report features case studies from Norilsk Nickel, EVRAZ, Gazprom Neft, OMK, and SIBUR. It highlights the most promising industrial applications of AI, including predictive maintenance to prevent equipment failures, automated quality control of raw materials and finished products, digital document management, enhanced industrial safety, and logistics optimization. Each case includes tangible business outcomes and measurable economic benefits.   <\/p>\n\n<p class=\"wp-block-paragraph\">One of the standout examples comes <a href=\"https:\/\/geoconversation.org\/en\/artificial-intelligence-at-nornickel-how-technology-is-changing-mining-and-people\/\" data-type=\"link\" data-id=\"https:\/\/geoconversation.org\/norilsk-nickel-ai\/\" target=\"_blank\" rel=\"noopener\">from Norilsk Nickel<\/a>. The company has evolved from pilot projects using generative AI to large-scale deployment across its production operations. Its primary focus has been protecting corporate data while integrating AI tools into its existing IT infrastructure. The projects are built on the Yandex AI Studio platform.   <\/p>\n\n<p class=\"wp-block-paragraph\">Beyond implementation stories, the report also addresses common misconceptions about AI agents. It challenges the belief that artificial intelligence will inevitably replace human workers or that deploying AI requires enormous budgets affordable only to technology giants. Instead of theoretical discussions, the authors provide practical guidance for industrial companies considering their first AI initiatives.  <\/p>\n\n<p class=\"wp-block-paragraph\">The experience of these five industrial leaders demonstrates that <a href=\"https:\/\/geoconversation.org\/en\/artificial-intelligence-in-seismic-exploration-how-geophysicists-work-is-changing\/\" data-type=\"link\" data-id=\"https:\/\/geoconversation.org\/ai-seismic-interpretation\/\" target=\"_blank\" rel=\"noopener\">artificial intelligence<\/a> is no longer a technology trend but a practical business tool for reducing downtime, minimizing defects, and improving workplace safety. For companies still evaluating AI adoption, the report offers a clear roadmap for getting started. <\/p>\n\n<p class=\"has-text-align-right has-small-font-size wp-block-paragraph\">Source: RBC<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Russia&#8217;s largest industrial companies have shared real-world examples of artificial intelligence implementation in production. Yandex B2B Tech has brought together the experience of five major manufacturers in a single report, demonstrating that AI has moved beyond the experimental stage and is now delivering measurable business value in factories and mining operations. The special report features [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":65814,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_titles_title":"Norilsk Nickel, EVRAZ, and Gazprom Neft Show How AI Is Transforming Plants and Mines","_seopress_titles_desc":"Yandex B2B Tech has compiled industrial AI case studies from Norilsk Nickel, Gazprom Neft, EVRAZ, and others. Discover how artificial intelligence is reducing downtime, cutting defects, and improving safety.","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":0,"_seopress_analysis_target_kw":"","footnotes":""},"categories":[572],"tags":[574,573],"class_list":["post-65815","news","type-news","status-publish","has-post-thumbnail","category-it","tag-artificial-intelligence-in-geology","tag-automation-and-robotization"],"acf":[],"pbg_featured_image_src":{"full":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii.webp",1672,941,false],"thumbnail":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-150x84.webp",150,84,true],"medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-300x169.webp",300,169,true],"medium_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-768x432.webp",768,432,true],"large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-1024x576.webp",1024,576,true],"1536x1536":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-1536x864.webp",1536,864,true],"2048x2048":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii.webp",1672,941,false],"bricks_large_16x9":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-1200x675.webp",1200,675,true],"bricks_large":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-1200x675.webp",1200,675,true],"bricks_large_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-1200x941.webp",1200,941,true],"bricks_medium":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-600x338.webp",600,338,true],"bricks_medium_square":["https:\/\/geoconversation.org\/wp-content\/uploads\/2026\/07\/vnedrenie-ii-promyshlennye-kompanii-600x600.webp",600,600,true]},"pbg_author_info":{"display_name":"Yulia Frolova","author_link":"https:\/\/geoconversation.org\/en\/author\/giulia-nikolaevna\/","author_img":false},"pbg_comment_info":" No Comments","pbg_excerpt":"Russia&#8217;s largest industrial companies have shared real-world examples of artificial intelligence implementation in production. Yandex B2B Tech has brought together the experience of five major manufacturers in a single report, demonstrating that AI has moved beyond the experimental stage and is now delivering measurable business value in factories and mining operations. The special report features&hellip;","_links":{"self":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/65815","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/comments?post=65815"}],"version-history":[{"count":1,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/65815\/revisions"}],"predecessor-version":[{"id":65816,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/news\/65815\/revisions\/65816"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media\/65814"}],"wp:attachment":[{"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/media?parent=65815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/categories?post=65815"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geoconversation.org\/en\/wp-json\/wp\/v2\/tags?post=65815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}