Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and machine learning in the entire spectrum of drug R&DDiscusses regulatory developments in leveraging big data and advanced analytics in drug review and approvalOffers a balanced approach to data science organization buildPresents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug developmentAffords sufficient context for each problem and provides detailed description of solutions suitable for practitioners with limited data science expertise