Every bilingual deck meant checking each phrase in both directions—2–3 days per draft. Now staff translate the whole file in one day.
An industrial equipment manufacturer producing air compressors, transformers, and motors, rapidly globalizing since 2021 with managers and new hires joining from the US, China, and Thailand into a predominantly Japanese-speaking workforce.
As the workforce became multilingual, staff needed to prepare key documents in both Japanese and English, but existing translation tools couldn't...
“When I first tried it, I found it to be the easiest to use compared to other translation solutions, then more and more people around me started using it.”
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Hitachi Industrial Equipment Systems's Document translation is part of this use case:
Related implementations across industries and use cases
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Translations needed line-by-line review; meetings ran one-way through interpreters. Now field expertise flows across languages.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Translations needed line-by-line review; meetings ran one-way through interpreters. Now field expertise flows across languages.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Every bilingual deck meant checking each phrase in both directions—2–3 days per draft. Now staff translate the whole file in one day.
An industrial equipment manufacturer producing air compressors, transformers, and motors, rapidly globalizing since 2021 with managers and new hires joining from the US, China, and Thailand into a predominantly Japanese-speaking workforce.
As the workforce became multilingual, staff needed to prepare key documents in both Japanese and English, but existing translation tools couldn't...
“When I first tried it, I found it to be the easiest to use compared to other translation solutions, then more and more people around me started using it.”
DeepL is a technology company that specializes in AI-powered language translation and natural language processing services.
Hitachi Industrial Equipment Systems's Document translation is part of this use case:
Related implementations across industries and use cases
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Translations needed line-by-line review; meetings ran one-way through interpreters. Now field expertise flows across languages.
Employees spent hours manually summarizing and translating technical documents. Now, custom GPTs generate first drafts for teams to refine.
Teams waited weeks for agencies or used unvetted tools. Secure AI now translates full documents in 2 minutes.
Translations needed line-by-line review; meetings ran one-way through interpreters. Now field expertise flows across languages.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.