The use of intelligent data acquisition, analysis, and application of machine learning and artificial intelligence in chemistry and structural biology has exploded everywhere, with applications for drug discovery a hot target for investment and source for new hope in disease treatments. What does the future hold for applications of chemical and molecular structure intelligence in drug discovery? Can automation and machine learning address problems that have confounded drug developers for years? What happens when modern chemistry can't make the molecule that AI has dreamed up? How can IP challenges be addressed in this AI-generated landscape? Join thought-leaders on the cutting edge of applying AI to drug discovery to learn all this and more.