During this session, I’ll deep dive into the implementation of an AI-powered endurance sports coach using Apache Airflow as the backbone for data ingestion and processing. Beyond data pipelines, I’ll explain what’s required to build a conversational AI system, from structured data modeling to orchestration and retrieval. We’ll explore how metrics are precomputed, how vector search enables contextual memory, and which front-end patterns work best for interacting with AI agents. The result is a reproducible architecture where Airflow powers the data layer and an LLM provides the reasoning on top to help athletes perform at their best in numbers-driven endurance sports.
Bas Harenslak
Solutions Architect at Astronomer, author of Data Pipelines with Apache Airflow, and Airflow committer