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 brandpost Sponsored by Huawei Leading infrastructure to accelerate electric power intelligence By David Sun, Vice President of Huawei, CEO of Electric Power Digitalization Business Unit, Huawei May 06, 2024 7 mins Energy Efficiency Huawei brandpost Sponsored by Broadcom How to govern with people-centric planning To succeed with people-centric planning, leaders need to take a different approach to governance. Leaders must produce key metrics and offer the autonomy to determine the best way to achieve those metrics. By Laureen Knudsen, Chief Transformation Officer, AOD, Broadcom May 06, 2024 3 mins Digital Transformation IT Leadership brandpost Sponsored by Avaya Staying agile in the contact center industry: The role of the connected agent A critical part of the “connected agent” strategy includes easy access to SMEs with a user experience that is simple…and AI is a core component. By Omar Javaid, Chief Product Officer, Avaya May 06, 2024 6 mins Digital Transformation news Atos receives four offers of help Rival bids seek to make the company either an integrated IT services powerhouse or a low-cost provider of data centers as a service. By Peter Sayer May 06, 2024 5 mins Managed IT Services Technology Industry 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