AI/ML model development depends on the availability of large, accurately labeled training datasets. When annotation workflows lack scale, consistency, or domain expertise, organizations face immediate operational challenges: stalled training pipelines, degraded model accuracy, and increased costs across the development lifecycle.
The ultimate AI shift is here: AI Agents are no longer assistants but decision-makers.
The launch of ChatGPT in late 2022, and the subsequent discussion on artificial intelligence (AI) and, to a lesser degree, machine learning (ML) engendered something inherent in humans: fear. There were apprehensions about AI becoming super intelligent and taking over the human race—with some even calling for a moratorium on AI experiments, or shutting the whole thing down entirely.