Beam Search is a heuristic search algorithm that explores a graph by expanding the most promising nodes, maintaining a fixed number of best candidates (beam width) at each level. It is widely used in sequence prediction tasks like machine translation and speech recognition to balance between breadth-first and depth-first search, optimizing for computational efficiency and solution quality.