Kevin Stumpf

Kevin Stumpf, Co-founder and CTO of Tecton, discusses the evolution of feature stores and their essential role in modern machine learning ops. He shares insights from his experience with Uber's Michelangelo platform and explains how Tecton simplifies feature creation for data scientists. Topics include the architecture of Tecton, the importance of observability in data management, and the challenges of integrating machine learning workflows. Stumpf also touches on the balance between open-source and enterprise solutions in the ever-evolving data landscape.

In this discussion, Kevin Stumpf, co-founder and CTO of Tecton; Willem Pienaar, engineering lead at Gojek and Feast Project founder; and Maxime Beauchemin, founder of Preset and creator of Apache Airflow, dive deep into feature stores. They explore how feature stores can accelerate AI development, streamline data management, and address operational challenges. The conversation highlights the evolution of these stores, their importance in automating workflows, and the collaboration needed between data engineers and scientists to maximize efficiency.