Machine learning impacts decision-making by providing data-driven insights that can reduce uncertainty and bias. For example, ML algorithms can analyze customer data to predict purchasing behavior, allowing leaders to tailor marketing strategies more effectively. Similarly, ML can be used to forecast supply chain disruptions, enabling proactive measures to mitigate risks. By integrating ML into their decision-making processes, leaders can make more accurate and timely decisions that align with their business objectives.