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

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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

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 ...

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 ...

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 ...

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.

While not a silver bullet solution to attribution, a data-driven model provides better insights for advertisers. Learn more here.

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