Explain how machine learning contributes to predictive analytics.
Machine learning significantly contributes to predictive analytics by enabling systems to learn from historical data and identify patterns that can forecast future outcomes. Through algorithms that improve with experience, machine learning models can analyze complex datasets to provide insights and predictions that are more accurate than traditional statistical methods. This capability is invaluable across various sectors, from finance to healthcare, where timely decision-making is crucial.