Marion Azoulai

Many data teams can build machine learning models, but operationalizing them reliably remains a challenge. At Astronomer, our data team recently moved from exploratory modeling to running multiple production ML models powering go-to-market analytics and workflows.

Astronomer’s data team recently underwent a major shift in how we work with Airflow. We’ll deep dive into the challenges which prompted that change, how we addressed them and where we are now.