A discussion on the distinction between machine learning research and applied machine learning reveals the importance of team structure within organizations. Different teams can focus on creating foundational models, like OCR, while others can leverage these models to develop innovative AI products. This separation allows for specialized expertise and enhances the overall effectiveness of machine learning initiatives.
