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 ...

A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...

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, ...

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 ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

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 ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.