Explore the integration of Feast Online Feature Store with KFServing in this informative conference talk presented by Ted Chang and Chin Huang from IBM. Delve into the importance of feature stores in machine learning workflows and discover various feature store solutions. Learn about Feast's history, infrastructure, and its deployment in Kubernetes clusters. Gain insights into KFServing, its stack, supported frameworks, and storage options. Understand the concept of KFServing Inference Service and transformers, with a focus on KFServing with Feast Transformer. Watch a demonstration showcasing the practical implementation of these technologies. Conclude with a summary of key takeaways and explore other related talks from the Open Source Summit North America.