Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

A data model is a visual representation of data elements and the relations between them.

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

The advent of large language models in text, search and image processing has undeniably revolutionized the landscape of unstructured data.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

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