Language AI you can trust: How to manage your brand reputation at scale
Blog post from DeepL
In the evolving landscape of AI-driven translation technology, businesses are faced with the dual challenge of harnessing these tools for global communication while safeguarding brand integrity and trust. A webinar featuring experts Kathleen Pierce and Morana Perić emphasized the importance of redefining translation quality as "fit for purpose," advocating for tailored quality standards based on content type and audience. The discussion highlighted the necessity of maintaining human expertise in managing idioms, cultural nuances, and industry-specific terminology, positioning localization teams as strategic advisors rather than mere translators. The experts warned against the complete reliance on AI without adequate controls and customization, as this could risk brand voice and lead to costly miscommunications. By integrating AI with human oversight and implementing robust control mechanisms, organizations can expand their global reach confidently and effectively.