CHI's new Analytical Intelligence track offers a comprehensive view of how data-driven approaches are influencing modern analytical strategies. Sessions will cover the collection, management, and interpretation of complex datasets across instruments, modalities, and development stages, including the use of active learning for training data generation. The track will examine the impacts of predictive modeling on formulation design, stability assessment, and analytical target profile development, as well as its role in supporting process development, PAT systems, and CMC decision-making. Challenges and solutions related to digitization, integration of partnered assets, regulatory filings, and adaptation of experimentalists to new digital paradigms will be discussed, alongside tools for automated data integrity review and advanced visualization.