The presentation focuses on best practices for developing machine learning pipelines and a field-proven architecture based on experience from customer projects. It will show how to address data engineering challenges, build machine learning models, and implement operational concepts of MLOps to create efficient and scalable workflows. We hope you will gain valuable insights that will help you implement your own end-to-end workflow.