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 VMware The Java migration imperative: Why your business should upgrade now To truly take advantage of modern Java, apps built for the ecosystem must be constantly maintained to maximize performance and minimize exposure to risks and security vulnerabilities. By Ryan Morgan, Senior Director, VMware Tanzu, Broadcom Apr 29, 2024 8 mins Cloud Computing news Get Ready for FutureIT Boston With This AI Infographic By Shane O'Neill Apr 29, 2024 1 min Events Artificial Intelligence IT Leadership news Atos may sell national security activities to French government The troubled IT service provider could net up to $1 billion from the sale, meeting most of its financing needs for the next year. By Peter Sayer Apr 29, 2024 4 mins Government IT Government Managed IT Services feature Top 10 barriers to strategic IT success Data challenges, tech debt, and talent shortages are among the issues that can derail your IT org’s work on high-value initiatives. Here’s how some CIOs are addressing them. By Mary Pratt Apr 29, 2024 12 mins Hiring IT Skills Business IT Alignment 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