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Last updated: March 16, 2026, 4:30 AM ET

ML Governance & Causal Modeling

Data science teams must prepare for mandatory shifts toward human-in-the-loop oversight and active metadata management to meet anticipated 2026 governance mandates, particularly concerning European data sovereignty requirements. Concurrently, practitioners are urged to master advanced causal inference techniques, focusing on implementing Python-based methods like doubly robust estimation and regression discontinuity to derive more reliable treatment effect attribution from observational data.