Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
A global hospitality enterprise relies on multinational meetings to collaborate with subject-matter experts across various linguistic regions, including Mandarin-speaking specialists in China.
Traditional interpretation routinely stretched standard 60-minute meetings to 90 minutes or more, causing scheduling delays and translation fatigue....
Food service, facilities management, and uniform provider for global industries.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Aramark's Meeting translation is part of this use case:
Related implementations across industries and use cases
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Managers spent days manually calling applicants. Now, AI screens and schedules instantly via text, keeping managers focused on guests.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
A global hospitality enterprise relies on multinational meetings to collaborate with subject-matter experts across various linguistic regions, including Mandarin-speaking specialists in China.
Traditional interpretation routinely stretched standard 60-minute meetings to 90 minutes or more, causing scheduling delays and translation fatigue....
Food service, facilities management, and uniform provider for global industries.
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Aramark's Meeting translation is part of this use case:
Related implementations across industries and use cases
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Managers spent days manually calling applicants. Now, AI screens and schedules instantly via text, keeping managers focused on guests.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Language barriers forced the rejection of top talent. Real-time translation now enables hiring based on skills, not fluency.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.