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.

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

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.

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.

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 ...