Data modeling in AI involves designing a structured framework to represent information and relationships within data. It’s about defining how data elements interact and how they’ll be processed for specific AI tasks.
Examples:
- In recommendation systems like those used by Netflix, data modeling might involve structuring user viewing histories, ratings, and preferences to predict which show a user might enjoy next.
- In medical diagnostics AI, data modeling could mean organizing patient records, symptoms, and test results to predict disease outcomes.
