Using AI to Agilize Translation Workflows
Thursday, 12 July, 2018
Global enterprises are looking for agile translation solutions that can keep up with the volume and pace of dynamic content delivery. Currently, translation workflows require project managers and customers to provide domain knowledge manually in order to construct and curate every possible outcome, which is a labor-intensive process. Artificial intelligence (AI) is now being used to create intelligent workflows with phase automation, active monitoring, and dynamic scheduling. Agilized translation workflows are able to determine which combination of machine and human resources is best to optimize quality and accuracy. By improving process automation, intelligent workflows allow project managers to spend more time performing tasks that are of higher value to the organization, like exception management, problem solving, and responding to urgent issues.
In this webinar, you learn how AI with machine learning is being used to shorten project management time, automate processes, and increase on-time delivery.
Larry Furr, Vice President of Product at Lingotek, is responsible for product strategy, design and development. He has more than 15 years of product management and marketing experience ranging from start-ups to publicly traded companies. Prior to Lingotek, he was Vice President of Product at Ghostery, where he launched the company’s award-winning Trackermap tool and the redesign of the Ghostery browser extension. Larry first joined Lingotek in 2011, helping to rapidly grow the company by establishing its cloud-based translation management system as a market leader and overseeing the release of numerous integrations with popular enterprise business applications. He holds a BA in Communications from Brigham Young University and an MBA from the University of Phoenix. When not busy with his four kids, Larry likes to watch college football and attend the occasional rock concert. The walls of his office are decorated with his favorite album covers.
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