Systems | Development | Analytics | API | Testing

Confluent data streaming platform makes creating a real-time sales meeting coach app easy. Event-driven architecture, Apache Flink SQL simplicity, and built-in connectors deliver the right messaging at the right time, straight from your company’s knowledge base.#confluent.

In this video, Tun Shwe (@DataSurfer), Head of AI at Lenses.io, takes you on a journey through the Lenses MCP Server - the bridge between AI models and Apache Kafka. Discover how engineers, analysts, and compliance teams can now interact with Kafka using natural language.

Apache Kafka delivers unmatched performance for real-time data streaming — but managing it in-house requires deep expertise. That’s where OpenLogic’s Kafka Service Bundle comes in. This managed Apache Kafka solution helps enterprises simplify operations, control costs, and maintain full ownership of their data — without the vendor lock-in of commercial clouds. Key benefits: With OpenLogic, your business gets the freedom and flexibility of open source Kafka — supported by the expertise and reliability enterprises depend on.

AI is driving change, and data streaming makes it possible for me to adapt.

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!