As businesses grow, so does the complexity of their data. Teams often juggle multiple CRMs, finance systems, marketing platforms, and custom apps, only to end up with fragmented insights, rising costs, and frustrated stakeholders. In this webinar, Sorin Petrea, Director of Data Engineering at Keller Postman LLC, shares how his team unified data across dozens of sources, empowered 400+ users with self-service BI, and turned data into a lever for better decision-making.

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!