Esfandiar Bandari explores the exciting possibilities of machine learning and data science. He will highlight the potential of parallel algorithms and emphasizes the importance of data preprocessing in building effective models. He encourages us to dream big about the impact of automatic programming, which could lead to increased productivity and experimentation across industries such as medicine, finance, and education. Finally, the question "What is missing?" invites us to consider the potential for STEM to drive future innovation and discovery.