An essential guide for founders on training data: what it is, how it differs from testing data, and strategies for building proprietary datasets to secure a competitive advantage.
Data annotation involves labeling raw data to train machine learning models. It transforms chaotic inputs into usable assets and acts as a strategic moat for AI-driven startups.