Visions of Machine Learning at Qchain (Without the Buzzwords)

The real progress in machine learning is that, beyond quantitative and categorical data, we can now build models for images and text. These models can recognize objects and process language at the level of an average six-year-old human (yes, "human level"). Major tech companies -- many of which are in advertising too -- already leverage these models: think Facebook friend-tagging and Amazon answers. We believe there are opportunities to use these models for native advertising. More specifically, we can build image and text models to analyze the content of native ads and the content of publishers at scale, in order to find the best "fit." In addition, we want to build these models in an open and interpretable way, rather than simply using a catchy name that includes "AI." In doing so, Qchain hopes to help both advertisers and publishers meet their goals more efficiently with the right audiences -- forging a path for more authentic marketing.