Enhancing Global Communication with Machine Learning Translations
<p>Leveraging Machine learning capabilities of Azure automatic translator</p>
Turning from manual work to automatic translation
A global automotive conglomerate operates internationally, providing extensive document translations in numerous languages each year. They leveraged Azure AI for improved translation efficiency, precision, and cost-effectiveness to meet growing demands and evolving communication needs.
<h5>Translation matters</h5><h2>Importance of both high quality & quantity</h2><p>Translating a <strong>large volume</strong> of words annually across 60+ languages may seem extraordinary, but it's the norm for the company's Language Services team. They handle diverse document translations, from important User's manuals to crucial management documents and documentation, maintaining a <strong>high standard of translation quality</strong>, especially for legally binding content.</p><p>The translated <strong>text specific</strong> for the automotive industry must match all apps and other omnichannel content, which is managed with translation memories. Also, the company uses <strong>brand-specific translation texts</strong> that are stored in databases and used by agencies worldwide.</p>
<h5>Growing number of translations</h5><h2>Translation challenges</h2><p>Over the past few years, language services have seen a notable surge in translation work, especially with an emphasis on <strong>digital transformation</strong>.</p><p>Clients now demand <strong>faster results</strong>, sometimes within 24 hours, while keeping translation quality high. Today, the portal manages over 16,000 projects per day. However, the rules-based translation approach, related to adding a new language, poses cost and scalability challenges, hindering speed and storage capacities.</p>
Machine Learning model
<p>To tackle the challenges, the company explored <strong>cloud-based options</strong>, seeking enhanced scalability and flexibility through <strong>neural machine translation models</strong>. After a thorough evaluation, they selected Microsoft Azure for its <strong>Cognitive Services </strong>and <strong>pre-trained Machine Learning models</strong>, customizing translations for specific automotive terminology.</p>
The new solution
<p>The <strong>Azure-powered system </strong>now <strong>efficiently</strong> handles <strong>translations into several languages</strong> and offers accessibility via smartphones, streamlining processes and simplifying memory updates compared to the previous solution.</p>
Translating various document types
<p>The initial translation system primarily handled text translation but has since evolved to include <strong>document translation</strong>. This expansion enables quick translation of <strong>various file types</strong>, facilitating efficient communication across languages and improving effectiveness. The documents vary from small to large amounts of pages, also <strong>keeping the structure</strong> and layout of the document, further excluding manual work.</p>
Automotive regulations and laws
Translating Legislation Documents
Additionally, the system aids the automotive company in staying up-to-date with automotive regulations and safety legislation worldwide by swiftly interpreting and understanding new laws, usually a large number of documents. With the new solution, the company ensures compliance and safety across different regions.
<h5>Compliant service</h5><h2>Azure Data Protection</h2><p>A critical aspect was compliance with strict <strong>data protection regulations</strong> within the European Union. Microsoft Azure stood out as the preferred choice due to its ability to ensure data doesn't leave the EU, aligning with EU data protection requirements. Unlike other open-source solutions, Azure offers enhanced data security and confidentiality, adhering to regulations that prohibit machine translation of personal or confidential data, crucial for <strong>maintaining compliance</strong> with <strong>EU data protection laws</strong>.</p>
<h5>Transforming the company</h5><h2>Revolutionizing Translation with Azure ML Translations</h2><p>The deployment of neural <strong>network-based translation</strong> significantly enhances quality and speed, <strong>transforming</strong> how the organization handles vast amounts of data. Mechanics worldwide access and input vehicle data in their native language, effortlessly obtaining technical product details.</p><p>Leveraging Azure's suite of services like Data Lake, Machine Learning, and Stream Analytics, the organization centralizes, translates, and shares technical information across global markets, improving <strong>accessibility</strong> and <strong>standardization</strong>.</p>
Looking ahead
Vision for the future
Moving forward, the automotive industry company aims to optimize translation capabilities, expand integration with various platforms, including Office 365, and embrace new features offered by the cloud environment for broader application within the company, all in collaboration with Microsoft.
How does Microsoft Azure support global automotive translation?
A global automotive conglomerate leveraged Azure AI to transition from manual work to automatic translation, improving efficiency and precision. This solution enables the swift interpretation of automotive regulations and safety legislation across various international regions. The system ensures ongoing compliance and safety by processing large volumes of legal documents automatically.
How does Microsoft Azure support global automotive translation?
A global automotive conglomerate leveraged Azure AI to transition from manual work to automatic translation, improving efficiency and precision. This solution enables the swift interpretation of automotive regulations and safety legislation across various international regions. The system ensures ongoing compliance and safety by processing large volumes of legal documents automatically.
How is Azure AI used to interpret automotive regulations?
The solution aids automotive companies by swiftly interpreting and understanding new laws, which often involve large numbers of documents. By automating this process, the system ensures compliance and safety across different regions without manual intervention. This capability is critical for staying up-to-date with evolving automotive regulations and safety legislation worldwide.
What is the future vision for Azure AI integration in automotive sectors?
Forward-looking strategies include optimizing translation capabilities and expanding integration with platforms like Office 365. Companies aim to embrace new cloud environment features for broader application within their operations. This collaboration with Microsoft supports the continuous improvement of translation tools for global automotive needs.
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To further explore our translation capabilities, you can learn more about how we utilize tms for efficient language processing. For organizations interested in broader AI applications, reviewing azure machine learning case studies offers additional insights into our machine learning implementations. We also recommend reading about ai best practices from jakub michalicka to understand our strategic approach, while those focused on industry impact may find our discussion on sustainable manufacturing particularly relevant.