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

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 ...

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

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

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

As a generative AI training model is exposed to more AI-generated data, it performs worse, producing more errors, leading to model collapse.