Build and Scale Real-Time Enterprise AI Agents with Confluent and Databricks

With Confluent and Databricks, agents are event-driven and replayable by design, use fresh contextualized data to optimize decision-making and outputs, and are built on fully managed platforms with proven security, governance, and reliability. Learn how data streaming and Databricks together provide a complete foundation for agents that can learn, act, and adapt on live context at enterprise scale – making intelligent automation finally production ready.

Join AI experts Sean Falconer, Britton LaRoche, and Brenner Heintz as they walk through an agentic AI tutorial and operationalize the vision of agent-powered use cases.

What are Streaming Agents and why event-driven architecture (EDA) is key
How Confluent and Databricks unify data processing and AI workflows
Agentic AI use cases and reference architectures
How to prepare data for AI, sync data across your systems, and serve fresh context to agents
Demo tutorial on building and scaling event-driven agents using Databricks, Confluent, Flink, Tableflow, Claude LLM, and ML models
How to ensure security and governance for your multi-agent systems
Get all your questions answered in live Q&A