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

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

1. Centralized model The data warehouse allows enterprises to store data in a single, curated location so, in theory, everyone can find and query their data with confidence.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...