Covariance prediction involves estimating the covariance between variables, which is crucial for understanding their joint variability and interdependence in statistical and machine learning models. It is essential for tasks such as portfolio optimization, risk management, and improving the accuracy of multivariate predictions by capturing the relationships between variables.