{"id":7531,"date":"2025-10-10T07:46:17","date_gmt":"2025-10-10T07:46:17","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=7531"},"modified":"2025-10-10T07:46:17","modified_gmt":"2025-10-10T07:46:17","slug":"actual-world-gen-ai-use-instances-from-trade-leaders","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=7531","title":{"rendered":"Actual-world gen AI use instances from trade leaders"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p data-block-key=\"sl5uk\">A yr and a half in the past, throughout Google Cloud Subsequent 24, we printed this checklist for the primary time. It numbered 101 entries.\u00a0<\/p>\n<p data-block-key=\"c1bo8\">It felt like loads on the time, and served as a showcase of how a lot momentum each Google and the trade have been seeing round generative AI adoption. Within the transient interval then of gen AI being broadly out there, organizations of all sizes had begun experimenting with it and placing it into manufacturing throughout their work and the world over, doing so at <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/cloud.google.com\/transform\/the-prompt-prototype-to-production-gen-ai\">a pace not often seen with new know-how<\/a>.<\/p>\n<p data-block-key=\"i1oq\">What a distinction these previous months have made. Our checklist has now grown by 10X. And nonetheless, that\u2019s simply scratching the floor of what\u2019s changing into attainable with AI throughout the enterprise, or what is perhaps coming within the subsequent yr and a half.<\/p>\n<p data-block-key=\"6fji3\">Many of those use instances are coming to life this week at our Gemini at Work occasion, which <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/events\/7374928298075791361\/\">you may watch reside right this moment<\/a>.<\/p>\n<p data-block-key=\"ev41h\"><b>Mercedes Benz<\/b> is constructing automobiles that may converse with their drivers whereas <b>Mercari<\/b>, Japan\u2019s largest on-line market, and <b>Commerzbank<\/b> are making it simpler than ever to achieve a customer support agent \u2014 Mercari even anticipates a 500% ROI whereas lowering worker workloads by 20%. And discuss scale: <b>Virgin Voyages<\/b> is utilizing Veo\u2019s text-to-video options to create hundreds of hyper-personalized advertisements and emails in a single go with out sacrificing model voice or fashion. Nor are they alone. <b>Figma<\/b>, which calls itself the \u201ccollaborative interface design device,\u201d lets any group create high-quality, brand-approved photos and belongings in seconds.<\/p>\n<p data-block-key=\"bmmc8\">[<i>Looking for how to build AI use cases just like these? Check out<\/i> <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/cloud.google.com\/blog\/products\/ai-machine-learning\/real-world-gen-ai-use-cases-with-technical-blueprints\"><b><i>our handy guide with 101 technical blueprints<\/i><\/b><\/a> <i>from some of these real-world examples.<\/i>]<\/p>\n<p data-block-key=\"4olg8\">Given the unimaginable tempo of innovation and progress we proceed to see, we&#8217;re assured that AI will develop past even our creativeness as our prospects proceed to problem us to design, construct, deploy, and create worth.\u00a0<\/p>\n<p data-block-key=\"7ev7f\">Hopefully you discover one thing right here that can propel our personal AI endeavors collectively.<\/p>\n<hr\/>\n<p data-block-key=\"ho2g\"><i>The checklist is organized by 11 main trade teams, and inside these, six agent varieties: Buyer, Worker, Inventive, Code, Information, and Safety. There are 400 new entries on this version, denoted with an asterisk (*) earlier than the group\u2019s title.<\/i><\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>A yr and a half in the past, throughout Google Cloud Subsequent 24, we printed this checklist for the primary time. It numbered 101 entries.\u00a0 It felt like loads on the time, and served as a showcase of how a lot momentum each Google and the trade have been seeing round generative AI adoption. Within [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":7533,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[961,847,624,999,4908],"class_list":["post-7531","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-cases","tag-gen","tag-industry","tag-leaders","tag-realworld"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/7531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7531"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/7531\/revisions"}],"predecessor-version":[{"id":7532,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/7531\/revisions\/7532"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/7533"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- This website is optimized by Airlift. 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