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                    <title><![CDATA[BMW Group Newsroom Australia & New Zealand]]></title>
                    <link>https://newsroom.bmwgroup.com/apac/en-au/</link>
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                    <lastBuildDate>Tue, 06 Oct 2026 19:36:28 +0200</lastBuildDate>
                    <pubDate>Thu, 28 May 2026 13:47:00 +0200</pubDate>
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                        <title>BMW Group and Mistral AI advance AI in crash simulation</title>
                        <link>https://newsroom.bmwgroup.com/apac/en-au/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation/</link>
                        <guid>https://newsroom.bmwgroup.com/apac/en-au/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation/</guid><pp:caseid>776699</pp:caseid><pp:summary><![CDATA[+++ Use of industrial datasets for AI model training +++ AI improves crash simulation analysis +++ Combining engineering expertise and advanced AI capabilities +++]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>Munich / Paris. </strong> The BMW Group and Mistral AI are
  partnering to advance the use of AI in crash simulation. The aim is to
  improve quality, accuracy and speed in complex engineering tasks. The
  collaboration marks a first step towards scaling domain-specific AI
  across further areas of vehicle development and the BMW Group value
  chain.   </p>
<div>
  <p>“For the BMW Group, the use of industrial data is a key factor in
    translating artificial intelligence into value creation,” said Dr.
    Franz Decker, CIO and Senior Vice President of the BMW Group. “By
    combining our engineering datasets with Mistral AI’s model training
    capabilities, we are building specialized AI which supports complex
    development tasks.”  </p>
</div>
<div>
  <h3>
    <strong>Complexity and Data Volume in Crash Simulation</strong>  </h3>
</div>
<div>
  <p>The scale and complexity of crash simulation at the BMW Group
    underline the need for domain-specific AI. Each week, the company
    runs thousands of virtual crash simulations, generating vast amounts
    of engineering data. Over time, this has resulted in a historical
    dataset of over one petabyte of crash simulation data. It provides
    highly detailed insights into vehicle structures and material
    behaviour, forming a unique foundation for training an industrial AI
    model.  </p>
</div>
<div>
  <p>“As Industrial AI becomes the new frontier for AI, we are proud to
    partner with the BMW Group” said Marjorie Janiewicz, Chief Revenue
    Officer of Mistral AI. “This collaboration shows how industry
    specific AI models can help solve complex engineering challenges
    such as crash simulation.”  </p>
</div>
<div>
  <h3>
    <strong>Large Industry Model as technical foundation</strong>  </h3>
</div>
<div>
  <p>To scale this approach, the BMW Group is focusing on so-called
    Large Industry Models (LIM). These are AI systems trained on
    industry specific engineering and simulation data from vehicle
    development and safety testing. Unlike general‑purpose AI systems,
    LIMs embed domain‑specific knowledge directly into the AI model.
    This requires not only industrial data, but also deep domain
    expertise and technical environments that allow AI systems to learn
    directly from BMW’s development processes.  </p>
</div>
<div>
  <p>The partnership highlights the importance of industrial data for
    the next phase of data‑driven value creation and strengthens the BMW
    Group’s AI and innovation ecosystem.  </p>
</div>
<div>
  <p> </p>
</div><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Leanne Blanckenberg<br>Tel: +61-3-9264-4238<br>E-mail: <a href="mailto:leanne.blanckenberg@bmw.com.au">leanne.blanckenberg@bmw.com.au</a></div></div></div>]]></description><category><![CDATA[Research &amp; Development,Press Release,Software Development,Artificial Intelligence,Innovation,Digitalisation]]></category>
            <pubDate>Thu, 28 May 2026 13:47:00 +0200</pubDate>
            <pp:lastModified>Thu, 28 May 2026 11:47:00 +0000</pp:lastModified>
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                        <title>Fast, simple, transparent: BMW turns the car into a credit card for public charging.</title>
                        <link>https://newsroom.bmwgroup.com/apac/en-au/fast-simple-transparent-bmw-turns-the-car-into-a-credit-card-for-public-charging/</link>
                        <guid>https://newsroom.bmwgroup.com/apac/en-au/fast-simple-transparent-bmw-turns-the-car-into-a-credit-card-for-public-charging/</guid><pp:caseid>776703</pp:caseid><pp:summary><![CDATA[Plug-Charge-Pay for maximum convenience +++ Over 1,400 charging points already equipped with the new function +++ Further roll-out in 2026.]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>Munich.</strong> The BMW Group is further simplifying public
  charging of its electric vehicles and setting a new standard for
  convenience and user-friendliness.</p>
<p>Since March 16<sup>th</sup>, customers in Germany have been able to
  charge their all-electric BMW or MINI directly at public DC charging
  points using Plug & Charge - without the need for a prior charging contract.</p>
<p>The credit card on file with BMW or MINI is used for this: After
  logging in with the corresponding customer ID in the vehicle, it
  automatically authenticates itself at the charging station when
  plugged in and the charging process starts immediately.</p>
<p>An additional app, charging card or manual steps at the charging
  station are therefore no longer necessary.</p>
<p>The new function can be set up in just a few steps via the Plug &
  Charge menu in the customer's my BMW or MINI app.</p>
<p>Billing is transparent and based on the provider's current ad hoc
  charging price - this price is also displayed in the vehicle and the
  app for supported charging stations.</p>
<p>The costs are paid directly via the stored credit card, so that
  drivers retain full cost control and transparency at all times.</p>
<p>The new offer is available to all Plug & Charge-capable BMW and
  MINI vehicles and, for the first time, also opens up Plug & Charge
  to customer groups without an existing charging contract - including
  tourists or fleet- and company-car drivers who only temporarily log
  into their vehicle with their BMW or MINI account.</p>
<p>The service launches with Mer Germany across over 1,400 charging
  points in Germany and Austria, enabled by Hubject's Plug&Charge
  ecosystem and payment facilitation. Further charging point operators
  and additional markets will gradually follow in the course of 2026.</p>
<p>With this offer, the BMW Group is emphasising its claim to make
  electric mobility not only sustainable, but also as simple and
  suitable for everyday use as possible.</p><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Leanne Blanckenberg<br>Tel: +61-3-9264-4238<br>E-mail: <a href="mailto:leanne.blanckenberg@bmw.com.au">leanne.blanckenberg@bmw.com.au</a></div></div></div>]]></description><category><![CDATA[Research &amp; Development,Press Release,Mobility of the future,Software Development]]></category>
            <pubDate>Thu, 16 Apr 2026 15:40:00 +0200</pubDate>
            <pp:lastModified>Thu, 16 Apr 2026 13:40:00 +0000</pp:lastModified>
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