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 ...

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.

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

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

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.

Inspur Yunzhou Industrial Internet Co., Ltd. applied for a patent titled "A Method, Device, Equipment, and Storage Medium for Identifier Resolution Based on Large Models" in June 2025. This patent ...

Meta open-sources multisensory AI model that combines six types of data The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but ...