Artificial intelligence (AI) is rapidly changing how clinical research is conducted. As clinical trials become more complex and generate increasing volumes of structured and unstructured data, AI offers opportunities to improve efficiency, identify patterns, and support clinical teams throughout the drug development lifecycle. The most valuable applications of AI are not necessarily about replacing people. They are about reducing repetitive work, connecting information, and helping experts focus on higher-value decisions. AI for Clinical Data Management Clinical data management is one area where AI can significantly enhance existing processes. Machine learning and generative AI can assist with identifying inconsistent data, detecting potential discrepancies, prioritizing queries, and recognizing unusual patterns across clinical datasets. AI can also support data review by bringing together information from multiple domains. Instead of examining individual datasets indepen...