Multi-sensor array, usually referred to as Sensor/Data Fusion, is one of the absorbing topics in Artificial Intelligence and Machine Learning studies. Data fusion is a significant technique for detection, estimation and decision making. A decision support system based on multi-sensor data fusion can be an effective solution to overcome the problems such as uncertainties in the context of situation awareness and threat analysis. The advantages of multiple-sensor data fusion in terms of cost, accuracy, and reliability will be explained in this talk. Generally, “Data Fusion” deals with the synergistic combination of data provided by various knowledge sources or sensors to provide a clear perception of a given scene or environment. The use of sensor/data fusion concept has advantages such as “Redundancy”, “Complementary”, “Timeliness” and “Less Costly Information”. Fusion char-acterization addressing the application domain, fusion objective, fusion process input-output (I/O) character-istics, and sensor suite configuration will be shown. In this presentation the different models and levels of Data Fusion will be presented. Among different data fusion methods, includ-ing the conventional and intelligent approaches, the various techniques coupled with their applications in Industrial Automation, Information Technology, Bioinformatics, Intelligent Transportation Systems (ITS) and Financial Engineering will be presented.