{"id":3683,"date":"2024-07-29T21:41:34","date_gmt":"2024-07-29T21:41:34","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2024\/07\/29\/nvidia-supercharges-digital-marketing-with-greater-control-over-generative-ai\/"},"modified":"2024-07-29T21:41:34","modified_gmt":"2024-07-29T21:41:34","slug":"nvidia-supercharges-digital-marketing-with-greater-control-over-generative-ai","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2024\/07\/29\/nvidia-supercharges-digital-marketing-with-greater-control-over-generative-ai\/","title":{"rendered":"NVIDIA Supercharges Digital Marketing With Greater Control Over Generative AI"},"content":{"rendered":"<div>\n\t\t<span class=\"bsf-rt-reading-time\"><span class=\"bsf-rt-display-label\"><\/span> <span class=\"bsf-rt-display-time\"><\/span> <span class=\"bsf-rt-display-postfix\"><\/span><\/span><\/p>\n<p>The world\u2019s brands and agencies are using generative AI to create advertising and marketing content, but it doesn\u2019t always provide the desired outputs.<\/p>\n<p>NVIDIA offers a comprehensive set of technologies \u2014 bringing together generative AI, NVIDIA NIM microservices, NVIDIA Omniverse and <a target=\"_blank\" href=\"https:\/\/aousd.org\/blog\/explainer-series-what-is-openusd\/\" rel=\"noopener\">Universal Scene Description<\/a> (OpenUSD) \u2014 to allow developers to build applications and workflows that enable brand-accurate, targeted and efficient advertising at scale.<\/p>\n<p>Developers can use the <a target=\"_blank\" href=\"https:\/\/build.stg.ngc.nvidia.com\/nvidia\/usdsearch\" rel=\"noopener\">USD Search NIM microservice to provide artists access to a vast archive of <\/a>OpenUSD-based, brand-approved assets \u2014 such as products, props and environments \u2014 <a target=\"_blank\" href=\"https:\/\/build.stg.ngc.nvidia.com\/nvidia\/usdsearch\" rel=\"noopener\">and<\/a> when integrated with the <a target=\"_blank\" href=\"https:\/\/build.stg.ngc.nvidia.com\/nvidia\/usdcode-llama3-70b-instruct\" rel=\"noopener\">USD Code NIM<\/a> microservice, assembly of these scenes can be accelerated. Teams can also use the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/gpu-cloud\/picasso\/\" rel=\"noopener\">NVIDIA Edify<\/a>-powered <a href=\"https:\/\/blogs.nvidia.com\/blog\/edify-shutterstock-getty-images\/\">Shutterstock Generative 3D<\/a> service to rapidly generate 3D new assets using AI.<\/p>\n<p>The scenes, once constructed, can be rendered to a 2D image and used as input to direct an AI-powered image generator to create precise, brand-accurate visuals.<\/p>\n<p>Global agencies, developers and production studios are tapping these technologies to revolutionize every aspect of the advertising process, from creative production and content supply chain to dynamic creative optimization.<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.wpp.com\/news\/2024\/07\/wpp-to-create-generative-3d-worlds-in-collaboration-with-nvidia\" rel=\"noopener\">WPP announced at SIGGRAPH<\/a> its adoption of the technologies, <a href=\"https:\/\/blogs.nvidia.com\/blog\/coca-cola-wpp-omniverse-generative-ai\">naming The Coca-Cola Company<\/a> the first brand to embrace generative AI with Omniverse and NVIDIA NIM microservices.<\/p>\n<\/p>\n<h2><b>Agencies and Service Providers Increase Adoption of Omniverse<\/b><\/h2>\n<p>The NVIDIA Omniverse development platform has seen widespread adoption for its ability to build accurate <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/solutions\/digital-twins\/\" rel=\"noopener\">digital twins<\/a> of products. These virtual replicas allow brands and agencies to create ultra-photorealistic and physically accurate 3D <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/use-cases\/3d-product-configurator\/\" rel=\"noopener\">product configurators<\/a>, helping to increase personalization, customer engagement and loyalty, and average selling prices, and reducing return rates.<\/p>\n<p>Digital twins can also serve many purposes and be updated to meet shifting consumer preferences with minimal time, cost and effort, helping flexibly scale content production.<\/p>\n<h4><b>Agencies and Service Providers Increase Adoption of Omniverse<\/b><\/h4>\n<p>The NVIDIA Omniverse development platform has seen widespread adoption for its ability to build accurate <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/solutions\/digital-twins\/\" rel=\"noopener\">digital twins<\/a> of products. These virtual replicas allow brands and agencies to create ultra-photorealistic and physically accurate 3D <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/use-cases\/3d-product-configurator\/\" rel=\"noopener\">product configurators<\/a>, helping to increase personalization, customer engagement and loyalty, and average selling prices, and reducing return rates.<\/p>\n<p>Digital twins can also serve many purposes and be updated to meet shifting consumer preferences with minimal time, cost and effort, helping flexibly scale content production.<\/p>\n<p>\u00a0<\/p>\n<figure id=\"attachment_73362\" aria-describedby=\"caption-attachment-73362\" class=\"wp-caption alignnone\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-73362\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/07\/monks-hatch.gif\" alt=\"\" width=\"500\" height=\"500\"><figcaption id=\"caption-attachment-73362\" class=\"wp-caption-text\">Image courtesy of Monks, Hatch.<\/figcaption><\/figure>\n<p>Global marketing and technology services company Monks developed Monks.Flow, an AI-centric professional managed service that uses the Omniverse platform to help brands virtually explore different customizable product designs and unlock scale and hyper-personalization across any customer journey.<\/p>\n<p>\u201cNVIDIA Omniverse and OpenUSD\u2019s interoperability accelerates connectivity between marketing, technology and product development,\u201d said Lewis Smithingham, executive vice president of strategic industries at Monks. \u201cCombining Omniverse with Monks\u2019 streamlined marketing and technology services, we infuse AI throughout the product development pipeline and help accelerate technological and creative possibilities for clients.\u201d<\/p>\n<p>Collective World, a creative and technology company, is an early adopter of real-time 3D, OpenUSD and NVIDIA Omniverse, using them to create high-quality digital campaigns for customers like Unilever and EE. The technologies allow Collective to develop digital twins, delivering consistent, high-quality product content at scale to streamline advertising and marketing campaigns.<\/p>\n<p>Building on its use of NVIDIA technologies, Collective World announced at SIGGRAPH that it has joined the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/about-nvidia\/partners\/\" rel=\"noopener\">NVIDIA Partner Network<\/a>.<\/p>\n<figure id=\"attachment_73356\" aria-describedby=\"caption-attachment-73356\" class=\"wp-caption alignnone\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-73356 size-large\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/07\/collective-tool-built-on-omniverse-672x378.jpg\" alt=\"\" width=\"672\" height=\"378\"><figcaption id=\"caption-attachment-73356\" class=\"wp-caption-text\">Product digital twin configurator and content generation tool built by Collective on NVIDIA Omniverse.<\/figcaption><\/figure>\n<p>INDG is using Omniverse to introduce new capabilities into Grip, its popular software tool. Grip uses OpenUSD and generative AI to streamline and enhance the creation process, delivering stunning, high-fidelity marketing content faster than ever.<\/p>\n<p>\u201cThis integration helps bring significant efficiencies to every brand by delivering seamless interoperability and enabling real-time visualization,\u201d said Frans Vriendsendorp, CEO of INDG. \u201cHarnessing the potential of USD to eliminate the lock-in to proprietary formats, the combination of Grip and Omniverse are helping set new standards in the realm of digital content creation.\u201d<\/p>\n<figure id=\"attachment_73359\" aria-describedby=\"caption-attachment-73359\" class=\"wp-caption alignnone\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-73359 size-large\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2024\/07\/grip-beirsdorf-image-672x378.png\" alt=\"\" width=\"672\" height=\"378\"><figcaption id=\"caption-attachment-73359\" class=\"wp-caption-text\">Image generated with Grip, copyright Beiersdorf<\/figcaption><\/figure>\n<p>To get started building applications and services using OpenUSD, Omniverse and NVIDIA AI, check out the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/use-cases\/3d-product-configurator\/\" rel=\"noopener\">product configurator developer resources<\/a> and the <a target=\"_blank\" href=\"https:\/\/resources.nvidia.com\/en-us-omniverse-product-configurator\/ov-genai-workflow-reference-architecture?xs=674987&amp;ncid=no-ncid\" rel=\"noopener\">generative AI workflow for content creation reference architecture<\/a>, or submit a <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/contact\/\" rel=\"noopener\">contact form<\/a> to learn more or connect with NVIDIA\u2019s ecosystem of service providers.<\/p>\n<p><i>Watch NVIDIA founder and CEO Jensen Huang\u2019s fireside chats, as well as other on-demand sessions from <\/i><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/events\/siggraph\/\" rel=\"noopener\"><i>NVIDIA at SIGGRAPH<\/i><\/a><i>.<\/i><\/p>\n<p><i>Stay up to date by subscribing to our <\/i><a target=\"_blank\" href=\"https:\/\/nvda.ws\/3u5KPv1\" rel=\"noopener\"><i>newsletter<\/i><\/a><i>, and following NVIDIA Omniverse on <\/i><a target=\"_blank\" href=\"https:\/\/www.instagram.com\/nvidiaomniverse\/\" rel=\"noopener\"><i>Instagram<\/i><\/a><i>, <\/i><a target=\"_blank\" href=\"https:\/\/www.linkedin.com\/showcase\/nvidia-omniverse\/\" rel=\"noopener\"><i>LinkedIn<\/i><\/a><i>, <\/i><a target=\"_blank\" href=\"https:\/\/medium.com\/@nvidiaomniverse\" rel=\"noopener\"><i>Medium<\/i><\/a><i> and <\/i><a target=\"_blank\" href=\"https:\/\/twitter.com\/nvidiaomniverse\" rel=\"noopener\"><i>X<\/i><\/a><i>.<\/i><\/p>\n<p>\t\t<!-- .entry-footer --><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/nvidia-supercharges-marketing-agencies-generative-ai\/<\/p>\n","protected":false},"author":0,"featured_media":3684,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3683"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3683"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3683\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3684"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3683"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3683"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3683"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}