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 ...

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

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.

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 ...

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

What is a directed acyclic graph (DAG) in crypto? A directed acyclic graph or DAG is a data modeling or structuring tool typically used in cryptocurrencies. Unlike a blockchain, which consists of ...

OpenAI released GPT-4 on Tuesday, but while touting its new capabilities the company also said it wasn’t planning to share what kind of data went in to training the model. Image: Daniel Chetroni ...