The need for translation now exists in every facet of our lives. Businesses must produce multilingual content—not just written, but rich media like videos, podcasts, webinars—for global campaigns. Meanwhile, politicians require precise translation of sensitive content to support diplomatic relations, ensuring that tone, idiom, and context carry over properly. Travel companies need translation and localization to communicate with international tourists in their native languages, and entertainment platforms like Netflix must scale up content—subtitles, dubbing, voice-overs—to reach global audiences effectively.

The stakes for good translation aren’t just linguistic—they’re strategic. In the quest to serve localized content that resonates with audiences, Google is at the forefront of recommending businesses to use as much native translating methods as possible. But imagine if humans had to translate a full E-Commerce website from one language to another, with content on it being updated everyday. Or consider Facebook, where people post content in more than 160 languages across billions of posts. It is machine-led, AI-driven solutions that are catering to all this high-volume content scalability, offering high-speed competitive advantage to users.

Languages are intricate and complex. We have everyday phrases like ‘How are you?’ and ‘Where is the hotel?’ but we also have highly specialized terminology, idioms and nuances to think of, not to forget different dialects. The latest generation of XTM Cloud solutions improve translation productivity and are designed to deliver reliable translations with more than 90% accuracy, so little manual clean-up is required. XTM’s advanced predictive modeling tools also process large volumes of content quickly with zero compromise on quality, which means happy customers for you. 

Learn more about XTM’s bespoke AI Inter language Vector Space here.