Systems | Development | Analytics | API | Testing

Learn how to build a real-time meeting coach system that uses Confluent's data streaming platform, Apache Flink SQL, and Azure OpenAI to provide sales teams with timely, contextual advice. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, demonstrates the system's architecture, key components, and how it leverages company knowledge documents to enhance sales conversations.

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents natively on Apache Flink and Apache Kafka. By unifying stream processing and agentic AI workflows, they leverage fresh context to continuously monitor and act on what’s happening in the business. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build agents that automate real-time competitive price matching on sales orders.

Discover how developers and data teams can build agentic AI applications with the combined power of Google Cloud AI services and Confluent Cloud’s real-time data streaming platform. This video showcases the joint value of integrating Apache Kafka, Confluent Schema Registry, Kafka Connect, and Apache Flink to enable seamless, real-time communication between AI agents. What you’ll learn: With Confluent and Google Cloud, you can go beyond AI experiments to build scalable, enterprise-ready multi-agent systems powered by real-time data.

Moving data processing and governance closer to the source, aka shifting left in data integration, results in faster, easier access to reliable data when and where it’s needed—without wasteful and costly reprocessing of bad data.

AI is only as good as the data behind it. That’s why 87% of IT leaders are relying on data streaming platforms to feed AI systems. Dig into how businesses like Reworked AI and @Notion are accelerating their AI initiatives with DSPs.