Data fusion is the process of integrating multiple sources of information to enhance the accuracy and reliability of data analysis and decision-making. By combining distinct datasets, data fusion enables systems to extract more meaningful insights than could be achieved with individual data sources. This technique is widely applied across various fields, including autonomous vehicles, where it merges data from sensors like cameras and lidar to improve perception and object detection. The effectiveness of data fusion lies in its ability to reconcile conflicting information and leverage complementary data, ultimately leading to better predictions and informed decisions in intelligent systems.