AI-rflow Meetup: Operationalizing AI with Airflow

Join fellow Apache Airflow users and data practitioners for a special AI-rflow Meetup exploring how teams are using Airflow to power both modern AI workflows and large-scale data platforms.

At this event you’ll see how Airflow helps move AI projects from experimentation to production, followed by a real-world look at how Novant Health uses Airflow to orchestrate and scale critical healthcare data pipelines. Come learn from experienced practitioners and connect with the local Airflow community.

Food, drinks, and swag will also be available!

PRESENTATIONS
Talk #1: Operationalizing AI with Airflow

• Speakers: Caitlin Petro, Sales Engineer, & Annie Friedman, Resident Solutions Architect at Astronomer

Over the past two years, we’ve seen a major shift in how teams move from AI experimentation to real-world systems. AI projects are no longer living only in notebooks. Teams are running batch inference, generating embeddings, evaluating model outputs, and incorporating human review as repeatable workflows. Orchestration has become the missing link between “cool demo” and “production-ready system.” AI models can generate outputs, but without structure, scheduling, monitoring, and retries, those outputs don’t scale reliably.

In this session, we’ll walk through a live demo of an AI workflow running in Airflow and show how easy it is to structure AI tasks into something repeatable and production-ready.

You can expect:

• A short, practical demo
• A real AI use case wired into a workflow
• A GitHub repo so you can explore and build on it yourself

Whether you’re new to AI, experimenting with LLMs, or thinking about how to operationalize AI inside your organization, this session will show how accessible production-grade AI can be with the right orchestration layer.

Talk #2: Scaling Healthcare Data with Airflow at Novant Health

• Speaker: Aaron Doubledee, Digital Technical Architect, Novant Health

Learn how Novant Health uses Apache Airflow to orchestrate and manage critical healthcare data workflows. In this session, we’ll explore how their team leverages Airflow to schedule, monitor, and scale data pipelines that support analytics, reporting, and operational systems across the organization. Attendees will get a look at real-world use cases, architectural patterns, and lessons learned from running Airflow in a large healthcare environment.

AGENDA

• 5:30-6 PM: Arrivals, networking, food & drinks
• 6-7PM: Presentations
• 7-8PM: Networking