1. A method of configuring a plurality of display devices communicatively coupled to a distributed local area communication network, the method comprising: obtaining images of a plurality of individuals at an event location, wherein the local area communication network is at the event location: identifying a plurality of individual data objects in a data store, each of the plurality of individual data objects defining features of a respective set of the plurality of individuals using facial recognition of images obtained of the plurality of individuals; identifying a data object of the plurality of individual data objects, the data object identifying a first set of individuals having a first feature; selecting a plurality of content tags based on the first feature; tagging a plurality of content items with one or more of the plurality of content tags; identifying a first content item of the plurality of content items, the first content item being associated with a first content tag, the first content tag being associated with the first set of individuals; selecting a second content item based on the first content tag; generating a display layout for the first and second content items; selecting a display device among the plurality of the display devices communicatively coupled to the distributed local area communication network, wherein a location of the display device is associated with the respective set of the plurality of individuals; transmitting, to the selected display device, the first and second content item, the display layout, and a display time; configuring, over the distributed communication network, a first FPGA chip in the selected display device to display the first and second content items having a look and feel of the generated display layout; configuring a second FPGA chip in the selected display device to display the second content item for the display time, wherein the selecting of the plurality of content tags comprises: for the first feature, determining a respective probability distribution indicating, for each of a respective content tag among the plurality of content tags, a probability that a set of individuals associated with a content tag has the first feature, thereby generating a plurality of probability distributions; using a probabilistic classifier to generate a merged probability distribution based on the plurality of probability distributions; and using a plurality of prediction sets to select the plurality of content tags, the plurality of content tags being associated with the first set of individuals, and wherein the method further comprises, using a Monte Carlo method to generate the plurality of prediction sets based on the merged probability distribution, the prediction sets including a plurality of prediction values for the first set of individuals, each respective prediction value being associated with one of the plurality of content tags.