What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Cloud Information Model vs. Open Data Initiative: Analysts Speak They Help, But 'Not a Complete Answer' "Ultimately, I think most companies will end up having their own data models.