The first-ever in-person Airflow Summit took place in Toronto, Canada, attracting over 500 attendees from 20+ countries. The event highlighted the versatility of Airflow in various data architectures, its role as a machine learning orchestrator, and the power of open-source communities. Key speakers discussed the importance of Airflow in powering decentralized teams, serving accurate business-critical data, and enabling data lineage with OpenLineage. The summit also showcased the growth of Large Language Models and foundational models, accelerating AI/ML initiatives with Airflow as a foundation for building upon base data engineering workloads.