Efficient Data Annotation

Ines and Matthew discuss the importance of efficient tooling in data annotation, highlighting how organizational boundaries can hinder innovation. They emphasize the need for rapid prototyping to streamline the data science process and empower data scientists to test ideas without bureaucratic hurdles.