Systems | Development | Analytics | API | Testing

Join Jay Kreps, Confluent leadership, our customers, and industry thought leaders to learn how you can build intelligent systems with real-time data. We’ll show you why streaming is becoming ubiquitous across the business—and how that unlocks a shift-left approach: process and govern at the source, then reuse everywhere. Expect live demos and candid customer stories that make it concrete. Whether you’re a data leader, architect, or builder, you’ll leave with practical playbooks for bringing real-time AI to production. The future is here-let's ignite it together!

Is your sales team going off-script? See how Confluent Cloud, Flink SQL, and Azure OpenAI can help you build a real-time, AI-powered meeting coach that makes sales conversation impactful and context-driven.

“Time to revenue” is the new benchmark for SaaS success. @getmetronome's CTO Cosmo Wolfe explains how real-time data streaming enables rapid pricing, high-cardinality data, and instant revenue insights, no matter where your business operates.

Join Confluent's Brenner Heintz for this interactive demo of Apache Flink SQL on Confluent Cloud for data pipelines. Learn how to sync and transform data into valuable insights, integrating seamlessly with Apache Kafka and data warehouses.

Data monster slowing down your business? Say goodbye to bottlenecks and hello to real-time data, scalable AI, and lower TCO with Confluent—the World’s Data Streaming Platform.

Don’t overbuild. The biggest data streaming mistake is mismatching the scope of the problem. Alex’s advice: sometimes a simple tool is enough.

Alex Haugland shares why direct-to-database writes are “a giant cacophony of garbage”—and how data streaming fixes it.

Alex Haugland explains why @WarpStreamLabs's simplicity is exactly the Apache Kafka abstraction @cursor_ai needs.

Alex Haugland shares why @cursor_ai uses @WarpStreamLabs to ensure all data sits entirely inside their controlled S3 storage, while letting them train and build better AI models.

Software development is changing fast. With Cursor, Anysphere is building an AI-forward IDE that fuses human creativity with machine intelligence. At the heart of this transformation is data streaming—making it possible to train models responsibly, deliver lightning-fast Tab completions, and scale telemetry without breaking engineering velocity. In this episode, engineer Alex Haugland shares how WarpStream gives Cursor sovereignty over user data, how telemetry and accounting pipelines strengthen product decisions, and why “coding is really just a bug” in how we interact with computers.