Exponential Smoothing is a time series forecasting technique that applies weighted averages of past observations, with exponentially decreasing weights as the observations get older, to predict future values. It is simple yet effective for short-term forecasting and is particularly useful in scenarios where recent data points are more relevant than older ones.