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

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.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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 ...

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

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 ...

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.