Sequence prediction involves forecasting the next item in a sequence based on the patterns observed in previous items, and is crucial in fields like natural language processing, time series analysis, and bioinformatics. It leverages models that can capture temporal dependencies and patterns, such as recurrent neural networks and transformers, to predict future events or elements with high accuracy.