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

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.

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

The MetroLab Network has announced the release of its new Model Data Governance Policy & Practice Guide for Cities and Counties, aiming to support data governance initiatives at the local level.

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

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 ...

Advocates say data models of police activity can highlight potential trouble spots and drive smart allocation of assets. Critics say it’s a way to worsen existing bias and deepen community divides.