The company has released a new AI-based translation service called Translation Hub and added two new features to its Document AI service. Credit: Olemedia/istock Google on Tuesday said it was updating its AI agent-based technology to add an enterprise-scale translation service, and to further automate document processing. The services, announced at the Google Cloud Next conference, are being delivered via a new AI-based translation service called Translation Hub, and two new features in Google’s Document AI offering. The Translation Hub, according to the company, is an AI agent-based service that offers self-service document translation with support for 135 languages. To translate documents, the service uses a combination of Google technologies such as neural machine translation and AutoML, the company said. Translation Hub will support Google Docs, Slides, PDFs and Microsoft Word documents. “It not only preserves layouts and formatting, but also provides granular management controls such as support for post-editing human-in-the-loop feedback and document review,” June Yang, vice president of cloud AI and industry solutions at Google, wrote in a blog post. Using Translation Hub, enterprises can share their translated findings across the world in a cost-effective manner, Yang added. At Google I/O this year, the technology giant had announced the addition of 24 new languages to Google Translate. AI agent to automate document processing To make document processing easier for enterprises, Google has added two new features to its Document AI service, which was first made available in April last year, designed to allow enterprises to parse documents efficiently and drive data towards the right employee within the enterprise. Document AI also includes a human-in-the-loop (HITL) workflows to ensure accuracy when needed. The two new features include Document AI Workbench and Document AI Warehouse. The Document AI Workbench, according to the company, allows enterprises to custom select the fields of interest while parsing a document. “Relative to more traditional development approaches, it (Document AI Workbench) requires less training data and offers a simple interface for both labelling data and one-click model training,” Yang wrote. The Document AI Warehouse feature brings Google’s search technologies to Google Document AI, the company said, adding that the feature is expected to make it easy to search and manage documents including their workflows within the enterprise. Document AI competes with services such as Amazon Textract and Microsoft Azure Form Recognizer. Related content opinion Where’s the ROAI? The Return on Investment for AI is in the use cases By Chris Selland May 08, 2024 4 mins ROI and Metrics Artificial Intelligence opinion Innovative data integration in 2024: Pioneering the future of data integration This article discusses the latest advancements in the data integration industry and how organisations can successfully integrate these technologies into their existing data strategy. By Yash Mehta May 08, 2024 8 mins Data Integration news Are You the Type of Player Who Makes IT Happen? By Elizabeth Cutler May 08, 2024 1 min Events Artificial Intelligence IT Leadership brandpost Sponsored by Adobe 5 use cases for how Generative AI can supercharge document productivity across the enterprise Take a closer look at real-world examples of how we are using GenAI to turn document data into peak productivity. By Maro Eremyan May 08, 2024 6 mins Generative AI PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe