Founded in 2004, the Translation Autonomy User Society (TAUS), the language data network, is an independent industry organization that serves as a resource center for the language and translation industry. The organization disseminates industry knowledge, metrics, and other critical data for both buyers and vendors alike. As part of the organization’s mission, TAUS hosts numerous language and translation industry events that is a must-attend for anyone in the translation industry.
The Global Content Conference & Exhibits 2020 theme is “Powering Language Data”. TAUS understands data is ‘the most critical gap to bridge’ amongst the entire gaps in the translation ecosystem. TAUS knows all too well the critical role of data in aiding vendors and industry professionals with their operations and service delivery. Thus, attendees can expect only the most critical industry news, innovations, issues, and solutions at the event, making it a truly must-attend occasion for anyone and everyone in the language and translation industry.
This grand 3-day event will consist of compelling presentations and gripping exhibits where around 20 technology companies and service providers can display their latest products and solutions.
TAUS will be expecting an audience of approximately 200 people from translators, language service providers, technology and solution providers, buyers and owners of global content, to government, NGO, and academic representatives, along with industry consultants, analysts, and press.
The vast diversity of the groups of attendees to come presents almost unrivaled networking opportunities anyone from the language and translation industry can experience.
The event will be held at the heart of Silicon valley at the DoubleTree by Hilton Hotel in San Jose, California, USA.
2050 Gateway Place
San Jose, California, 95110
United States of America
For more information about the event, registration process, and event fees, click here;
https://www.taus.net/events/conferences/120-taus-global-content-conference-exhibits-2020
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