Dive deep into Kubeflow Pipelines (KFP) in this comprehensive conference talk by Senthil Raja Chermapandian from Ericsson. Explore the architecture and platform components of KFP, an open-source project designed to run cloud-native Machine Learning pipelines on Kubernetes. Gain insights into how these components work together to execute ML workflows, moving beyond the typical focus on Data Scientists and Data Engineers. Understand the significance of pipelines in describing ML workflows, including all components and their interconnections in a graph format. Learn how KFP facilitates the execution of complex ML processes, emphasizing its role in the broader context of Machine Learning model deployment and management in cloud-native environments.