Graze case study

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Case Study : Graze

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Graze Case Study

Graze specialises in business intelligence, social media monitoring, business analytics, reputation monitoring, sentiment analysis, news feed generation, and multilingual news. Business intelligence relies on analysis of huge amounts of data from all over the world. Since there are large volumes of multilingual data that needs to be translated quickly, Graze needed machine translation to help provide instant multilingual content. Because much of this content is multilingual, Graze asked Tilde to build and integrate secure MT systems into the platform. The MT systems ensure that users can instantly view translations of news articles, social media posts, discussion forums, blogs, corporate website and other data sets written in multiple languages, providing actionable insights about competitors, topics of interests, and consumer opinions.
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Loqate helps expand their global presence with address verification

Graze was founded in by seven friends who wanted to give people easy access to healthy snacks. Initially it sold its products in the U. It has since expanded into the U. It has also started selling its products in over 4, U.
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The largest Pan-Baltic transport infrastructure project uses highly adapted neural machine translation platform to streamline instant multilingual information access and exchange. Customised neural machine translation system for construction industry helps LVS to increase the accessibility of standardisation information in Latvian. The main legislative body of Lithuania uses custom neural machine translation engines to boost their translator productivity and efficiency. One of the largest publishers in Latvia has upgraded their newsroom workflow with an AI-Powered machine translation for quicker content generation.
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