Can Artificial Intelligence solve the translation challenge in Learning?

Providing learning content in a learner's native language has always been a major challenge for knowledge transfer in global environments. With all technology advancements, the process has remained highly manual – slow, cumbersome, and expensive. Once content is available in a source language, translators are hired – typically through external agencies – who then manually translate into the required language. Then, to ensure your business specific lingo and context was translated correctly, another intensive quality assurance step is done with local experts – which often takes longer than the translation itself, due to resource bottlenecks. Multiply this by lots of content and lots of languages – and add, as a further ingredient, that the original source content may change while translation projects are already underway – and you soon get to unsolvable scalability and funding challenges.