Systems | Development | Analytics | API | Testing

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents on Apache Flink and Apache Kafka. Embedded in the stream, they can tap into the latest enriched data and be the eyes and ears of a business, continuously monitoring and acting on live operational events. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build price matching agents, do vector search for retrieval augmented generation (RAG), and leverage Confluent’s Real-Time Context Engine to process and serve fresh context the moment it’s needed for AI decision-making.

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.