  Predicting the next activity of a running process is an important aspect of
process management. Recently, artificial neural networks, so called
deep-learning approaches, have been proposed to address this challenge. This
demo paper describes a software application that applies the Tensorflow
deep-learning framework to process prediction. The software application reads
industry-standard XES files for training and presents the user with an
easy-to-use graphical user interface for both training and prediction. The
system provides several improvements over earlier work. This demo paper focuses
on the software implementation and describes the architecture and user
interface.
