1. A computer-implemented method, comprising: at a first end of a communication pipeline: obtaining, by at least one first processor, a plurality of original content data units having a representative content associated with at least one subject; applying, by the at least one first processor, to each original content data unit, at least one trained artificial intelligence algorithm to identify: i) the representative content associated with the at least one subject and ii) original background content that is not associated with the at least one subject; removing, by the at least one first processor, from each original content data unit, the original background content to form each respective modified content data unit only having the representative content associated with the at least one subject to reduce a volume of data being transmitted resulting in an increased capacity of the communication channel; encoding, by the at least one first processor, each respective modified content data unit in accordance with at least one data encoding-decoding methodology; and transmitting, by the at least one first processor, each respective modified content data unit from the first end of the communication pipeline to a second end of the communication pipeline; at the second end of the communication pipeline: receiving, by at least one second processor, each respective modified content data unit; decoding, by the at least one second processor, each respective modified content data unit in accordance with at least one data encoding-decoding methodology; generating, by the at least one second processor, for each respective modified content data unit, a respective artificial background content; and combining, by the at least one second processor, for each respective modified content data unit, the representative content associated with the at least one subject and the respective artificial background content to form each composite content data unit.