Build and Scale Real-Time Enterprise AI Agents with Confluent and Databricks
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Available On-Demand
Agents are only as good as the context they run on – and many fall short because of stale, siloed data and unscalable frameworks. 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.
Register now to learn:
- 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