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

Data modeling is an important part of business intelligence that requires the support of skilled professionals. Learn more about what they do.

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 ...

GPT-5 is more than an upgrade. It aims to be a single, smarter system that blends reasoning, multimodality, cost efficiency, ...

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.

Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

As AI-generated content fills the Internet, it’s corrupting the training data for models to come. What happens when AI eats itself?

How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about ...

What Data Scientists Learned by Modeling the Spread of Covid-19 Models of the disease have become more complex, but are still only as good as the assumptions at their core and the data that feed them ...