Convolution is a mathematical operation that combines two functions to produce a feature map, highlighting the information in the data. In the tech community, convolution is a crucial concept in signal and image processing, as well as deep learning, where it's used in convolutional neural networks (CNNs) to extract features from images, audio, and other data, enabling applications like image recognition, object detection, and natural language processing.