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

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

The explosive use of big data, predictive analytics and other modeling techniques to help understand and drive outcomes in all types of organizations has significantly increased over the past decade.

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.

PURPOSEThe explosion of big data and artificial intelligence has rapidly increased the need for integrated, homogenized, and harmonized health data. Many common data models (CDMs) and standard ...

Traditional scaling approaches to building machine learning models will fail as we run out of data for them. Several techniques may help.

Three major types of language models have emerged as dominant: large, fine-tuned, and edge. They differ in key, important capabilities -- and limitations.

Recent reports have predicted that publicly available, relevant data necessary for training AI models is expected to run out by 2026. The global AI market is projected to reach $1.8 trillion by ...