AI 2020: What lies ahead for natural language data

Natural language technology has fueled a boom in AI adoption, as everyone from small businesses to large corporations seek to introduce streamlined, automated language functions into their customer service and back-end systems. But it's also an area of confusion, owing to plenty of hype--and industries need to get through this confusion in order to bring the sophisticated natural language solutions of tomorrow to fruition. To gain a better understanding of what natural language AI will look like in 2020, we sat down with Alex Poulis. Alex is the senior director of AI at Transperfect, where he founded their Dataforce division, which focuses on training data for machine learning. He's been involved in language technologies since 2002--long before the world entered its current AI hype cycle--and previously worked with Lionbridge on their data collection efforts.