Scale By The Bay 2020: Antje Barth, Put Your Machine Learning on Autopilot

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference A typical machine learning workflow consists of many steps including data analysis, feature engineering, model training and model tuning. What if our machine learning platform could perform these tasks for us and generate high-quality model candidates ready for review and deployment? In this session, I will discuss the concept of Automated Machine Learning (AutoML) and how the latest advances in AutoML allow you to put your machine learning models into autopilot mode while maintaining full visibility and control. In a demo, we will also see AutoML in action. Antje Barth AWS Developer Advocate, AI and Machine Learning Duesseldorf, Germany Antje is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in Düsseldorf, Germany. She is co-author of the O'Reilly Book, "Data Science on AWS." Antje is also co-founder of the Düsseldorf chapter of Women in Big Data. Antje frequently speaks at AI and Machine Learning conferences and meetups around the world. Besides ML/AI, Antje is passionate about helping developers leverage Big Data, container and Kubernetes platforms in the context of AI and Machine Learning. Previously, Antje worked in technical evangelism and solutions engineering at MapR and Cisco.