Julian De Ruiter

Data & AI Engineering Lead

Biography.

Avid tech enthusiast who enjoys trying new technologies and engineering practices and applying these to the realm of Machine Learning and AI.
Has 8+ years of experience in Data Engineering, Machine Learning Engineering and MLOps; as well as 4+ years of experience in leadership roles. Has designed and built Data & AI platforms and corresponding Golden Paths in all three major clouds, as well as open-source versions on Kubernetes.
In his spare time, Julian also wrote the Manning book ‘Data pipelines with Apache Airflow’, which aims to bring aspiring Airflow users quickly up to speed with Airflow. A second edition of this book is coming up soon, focused on the new Airflow 3 release!

Navigating privacy and scalability with local and cloud-based LLMs

In a time of rising geopolitical tension and tightening AI regulations, this panel explores how to balance privacy and scalability by combining local and cloud-based LLMs. Experts will discuss hybrid approaches that offer the best of both worlds—data control and regulatory compliance alongside access to powerful, scalable AI.

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