Data modelling is the practice of designing entities, attributes, and the relationships between them to represent real-world concepts within a system. It determines how information is organized and how different pieces of data connect.

Why it matters:
Clear data models reduce ambiguity in how data is interpreted by both humans and AI. By explicitly defining relationships, data modelling helps AI systems reason more accurately and consistently across complex domains.