These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage.

Most projects benefit from having a data model. Read this article for an overview of the most common types.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

The answer lies in the fact that we haven’t been approaching data modeling correctly. While data modeling as a framework is ideal, the process of constructing a data model often rests on shaky ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

Beyond collecting data such as KPIs and clicks, brands should build a media data model to build better data insights. Here are the benefits of doing so.

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

Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

Scientists sometimes compare predicting the course of epidemics to forecasting the weather. But there's a major ...