This document discusses using AI, automation, and intelligent experimental design to accelerate drug discovery. Key points include: - AI and automation will be increasingly important in biological labs for experimental design, hypothesis generation and testing. - Data velocity from labs will increase, requiring automated, continuous analytics and AI. - The goal is to close the loop between data generation, analysis, and experimental design using AI to intelligently design new experiments. - This would accelerate drug discovery by enabling prediction of safety concerns, explanation of drug mechanisms, and screening for new drugs.