Challenges in ML Production

Lukas and Tristan discuss the challenges of debugging data pipelines in ML production, emphasizing the complexity and time-intensive nature of the process. They explore the gap between SQL and Python in data platforms, highlighting the need for collaboration and language integration to streamline workflows.