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.
Manual screening for 160K hires bottlenecked 20 recruiters. Now, an AI agent screens candidates via text and fills managers' calendars.
Managers spent days manually calling applicants. Now, AI screens and schedules instantly via text, keeping managers focused on guests.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
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.
Manual screening for 160K hires bottlenecked 20 recruiters. Now, an AI agent screens candidates via text and fills managers' calendars.
Managers spent days manually calling applicants. Now, AI screens and schedules instantly via text, keeping managers focused on guests.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.