Scale and Machine Learning at Scale

I would categorize scale as having two main focuses within the company. One is around data annotation, which is our historically largest product. And then more recently we've focused a lot on AI infrastructure projects. Particularly what we're trying to do is to let the computer do the basic visual processing tasks. The things that are pretty repetitive, menial, right? Non-assertly needs human understanding.