guide
Should I build or buy an AI data engine?
Until recently, most ML teams have had to build their own labeling tools or adopt a hodgepodge of open-source tools or service-based labeling workflows. Now however, a new category of tooling has emerged: the AI data engine. A data engine offer best-in-class technology — and are purpose built for AI teams — to combine data, people, and processes into one seamless training data creation experience, enabling ML teams to produce performant models faster and more efficiently.
Technical leaders must now weigh the benefits of a data engine with the potential of building (or continuing to build) their own training data management software, and they have many factors to consider before making a decision.
