The fields of data science and AI generate involve processes and generate outputs that can be challenging for humans to understand. In many situations it is essential to understand and gain deep insights about these phenomena in order to make decisions in the real world. The role of Data Visualization in these situations is to enhance human cognition, providing faster and more accurate insights.
There is a real and growing gap between big data and the human ability to comprehend and act upon the analysis of that data. Research in the science and engineering of visualization needs to respond to this challenge in order that data and data products remain comprehensible to people.