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 ...

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

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.

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

When dealing with subjective data, it is important to have an overlap of training data examples that can help check reliability, and it is equally important to ensure consistency in the labeling ...

A novel image-based deep learning approach achieves high accuracy and interpretability, offering potential for clinical ...