Venue: Lonesome Dove
About the Event
Modern enterprises are reaching an inflection point. Data orchestration, event-driven architectures, and AI-powered applications are no longer distinct domains—they are converging into a single, interconnected feedback system. Each informs and reacts to the other: pipelines trigger events, events retrain models, models influence what data is collected next.
But most data systems weren’t built for this circular, adaptive loop. They were built for linear motion—data in, data out. The result is a widening delta between interoperable, adaptive architectures and static, siloed systems that struggle to keep pace. That delta isn’t obvious yet—but it’s growing fast, and it represents the next major bottleneck for enterprises attempting to operationalize AI.
The organizations that will win this next phase aren’t the ones with the most models or data—they’re the ones building living data ecosystems that can sense, adapt, and act across changing conditions in real time.
That’s where modern orchestration enters.
Airflow 3.0 makes event-driven adaptability, micro-batch execution, and governed observability possible across diverse systems. This shift transforms orchestration from a scheduler into the connective tissue of the modern data stack: the layer that turns feedback into forward motion.
At this executive roundtable, we’ll explore:
- The convergence of data pipelines, event-driven systems, and AI applications—and the unknown delta it’s creating
- How interoperability and feedback loops are becoming the real differentiators in enterprise data strategy
- What “adaptive DataOps” looks like in practice, and how leading teams are preparing their architectures for it
