CAIDAS AI Talks @JMU

This talk addresses how to efficiently process unstructured data for process mining. The volume of data is continuously increasing and the ability and demand to efficiently analyze the data has become even more crucial. Although, several suitable techniques and tools already exist to efficiently process and analyze unstructured data, the challenge still exists how to intervene process orientation into unstructured data analysis. This combination promises uncovering new insights in terms of causal effects or bottlenecks in data that could not be directly found with alternative technique. Finally, involving users in such an analytics pipeline gives confidence in decision-making. This talk summarizes challenges, presents use cases and gives an outlook on prospective research projects for process mining on unstructured data.