This 12-part blog series is designed to answer this question by providing guidance on data modeling patterns for 12 common use cases. To help you get to a blog that can help you build now, the ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

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 ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

This e-book is a guide to using Valkey, which is an open source fork of the last available Redis OSS v7.2. Valkey is ideal for customers who want a proven high-performance, open source cache as Redis ...