DescriptionMachine learning and deep learning methods are increasingly being applied in the pharmaceutical industry. The usage is growing exponentially and expanding to more business areas. Discussions will focus on current trends, the many challenges and approaches in applying ML and DL to build insightful models. The ever-increasing scale and velocity of data creates challenges to model accuracies, model refinement and computational scale. Key challenges include network latency and multi-terabyte data sets. HPC is vital to building and running the models in a meaningful timeframe. The interactive panel discussion will focus on experiences and insights by panelists and audience members.