Training Data

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.

Supervised learning is the most common form of AI used in business. It maps inputs to outputs using labeled data to solve specific prediction problems.

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.