Most projects benefit from having a data model. This article gives an overview of the most common types. At its heart, data modeling is about understanding how data flows through a system. Just as a ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

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. Predictive modeling is a type of data mining that is used in a ...

The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but shows how future AI models could be able to generate multisensory content. The ...

Verifiable search data gives AI teams reproducible inputs for testing, incident review, drift monitoring, and model oversight ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Network data models provide a representation of a network's configuration, state and policies. These models abstract various network components and describe how they interact with each other, which ...

Data-backed decision-making, or business intelligence, is both a science and an art. This technology-driven process involves the collection and analysis of data to help organizations make ...