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 news Appeal court overturns $1.6bn mainframe software ‘poaching’ ruling against IBM AT&T ‘independently decided” to replace BMC software, the appeals court found. By John Leyden May 03, 2024 3 mins Mainframes Legal news IBM and AWS forge global alliance, streamlining access to AI and hybrid cloud solutions This partnership will allow businesses in 92 countries access to IBM’s software products, including data technologies and AI, directly through the AWS Marketplace. By Gyana Swain May 03, 2024 5 mins Amazon Web Services Hybrid Cloud Artificial Intelligence feature UPS delivers customer wins with generative AI The multinational shipping company enlisted LLMs to automate customer message responses, reducing agent handle time and paving the way for genAI use across the enterprise. By Paula Rooney May 03, 2024 7 mins CIO 100 Generative AI Digital Transformation feature Scrum master certification: Top 13 certs for agile pros A Scrum master certification can prove you have the knowledge and competency to lead agile teams successfully. By Sarah K. White, Sharon Florentine May 03, 2024 16 mins Certifications Agile Development IT Skills 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