AI-Assisted Data Processing and Analysis for Statistical Programs

Statistics Canada applies machine learning techniques to process structured and unstructured data for statistical programs. These techniques include automatic classification, outlier detection, missing data imputation, address parsing, natural language processing, and satellite image analysis. The primary users are Government of Canada employees who use these models to improve the quality and efficiency of national statistics. Citizens are indirectly affected when these models influence the statistical outputs that inform public policy.