This talk will cover challenges and opportunities to applying AI in the healthcare industry and specifically in biotech. An overview of the opportunity to use machine learning to predict patient outcomes, better elucidate biological mechanisms behind response to therapy, and improve adherence will be explored. Challenges to application of machine learning to biotech and biologically generated data will be expounded upon. Learn about how Amgen is currently addressing these opportunities and overcoming challenges through application of a variety of techniques (e.g. Bayesian network modeling, deep learning, etc.) on a multitude of diverse data sources (e.g. genomic, health care records, etc.).