Data Science
Feature Engineering Best Practices for Structured Data in the Age of Foundation Models
Feature engineering for structured data in 2026 is a hybrid discipline. Traditional techniques — encoding, scaling, interactions, target encoding — remain the foundation, while LLM augmentation adds semantic enrichment capabilities that especially shine on text-heavy tabular data.