In this keynote, Peeyush Rai and Vikram Koka will be walking through how Airflow is being used as part of a Agentic AI platform servicing insurance companies, which runs on all the major public clouds, leveraging models from Open AI, Google (Gemini), AWS (Claude and Bedrock). This talk walks through the details of the actual end user business workflow including gathering relevant financial data to make a decision, as well as the tricky challenge of handling AI hallucinations, with new Airflow capabilities such as “Human in the loop”. This talk offers something for both business and technical audiences. Business users will get a clear view of what it takes to bring an AI application into production and how to align their operations and business teams with an AI enabled workflow. Meanwhile, technical users will walk away with practical insights on how to orchestrate complex business processes enabling a seamless collaboration between Airflow, AI Agents and Human in the loop.

Enterprises want the flexibility to operate across multiple clouds, whether to optimize costs, improve resiliency, to avoid vendor lock-in, or for data sovereignty. But for developers, that flexibility usually comes at the cost of extra complexity and redundant code. The goal here is simple: write once, run anywhere, with minimum boilerplate. In Apache Airflow, we’ve already begun tackling this problem with abstractions like Common-SQL, which lets you write database queries once and run them on 20+ databases, from Snowflake to Postgres to SQLite to SAP HANA. Similarly, Common-IO standardizes cloud blob storage interactions across all public clouds. With Airflow 3.0, we are pushing this further by introducing a Common Message Bus provider, which is an abstraction, initially supporting Amazon SQS and expanding to Google PubSub and Apache Kafka soon after. We expect additional implementations such as Amazon Kinesis and Managed Kafka over time. This talk will dive into why these abstractions matter, how they reduce friction for developers while giving enterprises true multi-cloud optionality, and what’s next for Airflow’s evolving provider ecosystem.

Apache Airflow® 3 is here, bringing major improvements to data orchestration. In this keynote, core Airflow contributors will walk through key enhancements that boost flexibility, efficiency, and user experience. Vikram Koka will kick things off with an overview of Airflow 3, followed by deep dives into DAG versioning (Jed Cunningham), enhanced backfilling (Daniel Standish), and a modernized UI (Brent Bovenzi & Pierre Jeambrun). Next, Ash Berlin-Taylor, Kaxil Naik, and Amogh Desai will introduce the Task Execution Interface and Task SDK, enabling tasks in any environment and language. Jens Scheffler will showcase the Edge Executor, while Constance Martineau, Tzu-ping Chung and Vincent Beck will demo event-driven scheduling and data assets. Finally, Buğra Öztürk will unveil CLI enhancements for automation and debugging. This keynote sets the stage for Airflow 3—don’t miss the chance to learn from the experts shaping the future of workflow orchestration!