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, ...

When we build database-backed enterprise applications, we generally want to isolate our entity models, the DbContext, and the logic for database initialization and migration to maintain a clean ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Developers of a certain age are used to beginning their application development journey by choosing an operating system. Younger developers, by contrast, might start by picking a cloud. One of the ...