12 challenges of AI adoption – Software House That Helps You Innovate - Neoteric

A few years back, most of our data was structured or textual. Nowadays, with the Internet of Things (IoT) a large share of the data is made up of images and videos. There's nothing wrong with that, and it may seem like there's no problem here, but the thing is that many of the systems utilizing machine learning or deep learning are trained in a supervised way, so they require the data to be labeled. The fact that we produce vast amounts of data every day doesn't help either; we've reached a point where there aren't enough people to label all the data that's being created. There are databases that offer labeled data, including ImageNet which is a database with over 14 million images.