Data Labeling

Last year we published our ML workflow landscape. One category we’ve seen continued interest in is data labeling, the process of attaching meaning to different types of digital data like audio files, text, images, and videos. Our research suggests themes in the data labeling segment include: 1) data is the new oil, 2) dark data is valuable, 3) deep learning algorithms are a driver, 4) hand labeling can be expensive, and 5) automation is important.