Research

Enterprise AI Analytics


We have developed a number of techniques for mining post-conditions of process tasks, using data analytics to recommend task allocations in service systems, using data analytics for optimal business process provisioning, managing variability in business process instances, mining causal links between business processes and task post-conditions, and mining enterprise architectures. Our work on mining industry-scale event logs to build goal orchestration models has won the prestigious Best Paper Award at the 36th International Conference on Conceptual Modeling (ER) in 2017 – the top conference in this area).