{"id":25543,"date":"2026-05-28T09:31:10","date_gmt":"2026-05-28T09:31:10","guid":{"rendered":"https:\/\/www.europesays.com\/germany\/25543\/"},"modified":"2026-05-28T09:31:10","modified_gmt":"2026-05-28T09:31:10","slug":"bmw-group-and-mistral-ai-advance-ai-in-crash-simulation","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/germany\/25543\/","title":{"rendered":"BMW Group and Mistral AI advance AI in crash simulation"},"content":{"rendered":"<p>\n  Munich \/ Paris.\u00a0 The BMW Group and Mistral AI are<br \/>\n  partnering to advance the use of AI in crash simulation. The aim is to<br \/>\n  improve quality, accuracy and speed in complex engineering tasks. The<br \/>\n  collaboration marks a first step towards scaling domain-specific AI<br \/>\n  across further areas of vehicle development and the BMW Group value<br \/>\n  chain.\u202f \u00a0<\/p>\n<p>\u201cFor the BMW Group, the use of industrial data is a key factor in<br \/>\n    translating artificial intelligence into value creation,\u201d said Dr.<br \/>\n    Franz Decker, CIO and Senior Vice President of the BMW Group. \u201cBy<br \/>\n    combining our engineering datasets with Mistral AI\u2019s model training<br \/>\n    capabilities, we are building specialized AI which supports complex<br \/>\n    development tasks.\u201d \u00a0<\/p>\n<p>\n    Complexity and Data Volume in Crash Simulation \u00a0<\/p>\n<p>The scale and complexity of crash simulation at the BMW Group<br \/>\n    underline the need for domain-specific AI. Each week, the company<br \/>\n    runs thousands of virtual crash simulations, generating vast amounts<br \/>\n    of engineering data. Over time, this has resulted in a historical<br \/>\n    dataset of over one petabyte of crash simulation data. It provides<br \/>\n    highly detailed insights into vehicle structures and material<br \/>\n    behaviour, forming a unique foundation for training an industrial AI<br \/>\n    model. \u00a0<\/p>\n<p>\u201cAs Industrial AI becomes the new frontier for AI, we are proud to<br \/>\n    partner with\u00a0the\u00a0BMW Group\u201d said Marjorie Janiewicz, Chief Revenue<br \/>\n    Officer of Mistral AI.\u00a0\u201cThis collaboration shows how industry<br \/>\n    specific AI models can help solve complex engineering challenges<br \/>\n    such as crash simulation.\u201d \u00a0<\/p>\n<p>\n    Large Industry Model\u00a0as technical\u00a0foundation \u00a0<\/p>\n<p>To scale this approach, the BMW Group is focusing on so-called<br \/>\n    Large Industry Models (LIM). These are AI systems trained on<br \/>\n    industry specific engineering and simulation data from vehicle<br \/>\n    development and safety testing. Unlike general\u2011purpose AI systems,<br \/>\n    LIMs embed domain\u2011specific knowledge directly into the AI model.<br \/>\n    This requires not only industrial data, but also deep domain<br \/>\n    expertise and technical environments that allow AI systems to learn<br \/>\n    directly from BMW\u2019s development processes. \u00a0<\/p>\n<p>The partnership highlights the importance of industrial data for<br \/>\n    the next phase of data\u2011driven value creation and strengthens the BMW<br \/>\n    Group\u2019s AI and innovation ecosystem. \u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"Munich \/ Paris.\u00a0 The BMW Group and Mistral AI are partnering to advance the use of AI in&hellip;\n","protected":false},"author":2,"featured_media":25544,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20955],"tags":[699,6213,26469,26467,6117,18244,26470,5869,26468,7283,26471,21859,43],"class_list":["post-25543","post","type-post","status-publish","format-standard","has-post-thumbnail","category-bmw","tag-artificial-intelligence","tag-bmw","tag-cio","tag-crash-simulation","tag-digitalisation","tag-engineering","tag-industrial-data","tag-innovation","tag-large-industry-model","tag-mistral-ai","tag-research-development","tag-software-development","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts\/25543","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/comments?post=25543"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/posts\/25543\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/media\/25544"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/media?parent=25543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/categories?post=25543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/germany\/wp-json\/wp\/v2\/tags?post=25543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}