Finding the 'Right' Data to Train your AI Is Getting Easier

A recent article in The Register explored the increasing role of humans and how they come into play when training AI. The article, written by Danny Bradbury, noted that there is "an expanding ecosystem of humans in the machine-learning feedback loop who keep the machines on track." Not surprisingly, Alegion was cited as a prime example of this trend. The company possesses a legion of skilled, on-demand workers from around the world, enabling it to consistently deliver quality and scale to its customers. This is important, suggested Bradbury, not only at the outset when the training data is created, but also because humans are pivotal when they provide feedback "back into the training set to help the computer refine its own model."