LILT Announces V3.5 Translation Models with Improved Quality Newest Models Outperform Market Peer Models in Inference Time and Quality
LILT Announces Enterprise AI Controls and In-App Multimodal Translation Self-Service Management For Models, Modals, and Data Enables Enterprise Security and Control
In an increasingly digital world, having a website that can reach a global audience is crucial for businesses and organizations to engage with their customers. Whether expanding into a new geographic market, improving customer experience in an existing market, or expanding your existing web presence, offering web content in the languages of your customers is essential. However, translating your WordPress website into all relevant languages is no small feat. Legacy translation workflows involved hours of manual work for content teams, downloading, sending, and uploading content.
The increasingly important role of multimedia content in digital customer experiences has spurred the rapid growth of enterprise video content generation. As a result, optimizing multilingual multimedia workflows has never been more crucial, as content creation teams are tasked with translating high volumes of multimedia content, often with quick turnaround times. In our recent joint webinar with LILT partner CaptionHub, LILT Product Manager Vignesh Rajendran and CaptionHub’s CCO James Jameson explore the ways that employing an AI strategy enables global organizations to accelerate and amplify multimedia localization and provide an in-depth look at the LILT-CaptionHub Connector. Whether you watch the 30-minute recording of this session or read the recap below, you can expect to walk away with a clearer understanding of the ways that global enterprises can benefit from an AI-powered multilingual subtitling strategy.
Lilt Supports AI-Powered Translated Forecasts Offered By NOAA’s National Weather Service
New Contextual AI Platform enables custom model manipulation and advanced analytics for global enterprises
