Artificial intelligence and automation are impacting the way businesses operate in major ways, redefining what's possible and shaping a new future of work. But instead of replacing human labor, AI and automation augment the power of human ingenuity and amplify human productivity in translation. Lilt's CEO Spence Green talks about how companies can scale their localization programs, doing more with less, driving higher ROI, and reducing operational complexity by using the latest advances in AI and automation.
Spence Green is the Co-Founder and CEO of Lilt, a San Francisco-based enterprise language translation company backed by leading venture capital firms like Sequoia Capital and Redpoint Ventures. Prior to founding Lilt, Spence graduated from Stanford with a PhD in Computer Science under the direction of Chris Manning and Jeff Heer. He has published papers on machine translation, language parsing, and mixed-initiative systems and given talks on translator productivity. In addition to his PhD, he received a MS in Computer Science from Stanford and a BS in Computer Engineering from the University of Virginia.