Κυριακή, 11 Αυγούστου 2013

Webinar: Multi-Language Discovery of Big Data for Mission Success

 
Security threats and incidents can arise in an instant, and the availability of real time on-the-ground intelligence can mean the difference between life and death. In addition to leveraging traditional classified intelligence sources, responders and analysts often turn to Open Source Intelligence (OSINT) gleaned from news feeds, blogs and social media to help predict where an incident may occur, understand what’s happening on the ground and manage and mitigate repercussions.

However, as the Web contains countless sources of information in myriad languages, analysts and decision-makers rarely have the time or resources for manual translation processes. How can users sift through the Web’s vast, multi-language repository of open-source content to locate the intelligence that is most relevant to the mission at hand? A qualified Human Translator can translate up to 2500 words per day. Statistical Machine Translation (SMT) language engines can translate up to 2500 words per minute, per CPU.

Join SDL Government and TerraGo for a webinar on 22 August and see how to bring together location intelligence mining and automated multi-language translation to provide users across the enterprise with situational awareness for faster response times and improved decision making. Experience firsthand how to:
Swiftly search and intelligently filter internal and external Big Data sources, including OSINT news feeds, blogs, social media and RSS feeds, by place, time and topic
Translate large volumes of information into one or more languages at high speed and high accuracy
Deliver translated geographically relevant intelligence to users at the edge

Register to join us and learn how users across defense and intelligence, emergency management, public safety, energy, natural resources, transportation and commercial organizations can leverage these solutions for enhanced situational awareness, faster response times and improved decision making.
 
 
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