Explore lessons learned from utilizing machine learning pipelines in production environments through this conference talk. Gain insights into overcoming challenges when applying experimental logic to real-world scenarios, addressing gaps between experimental and production environments, and leveraging Kedro to transform pipelines. Discover practical solutions for project template generation, adding nodes outside of notebooks, connecting nodes to develop pipelines, and removing loops inside extracted notebook nodes. Learn valuable takeaways from a validation scenario and potential solutions for implementing machine learning projects in production settings.