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

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Thursday, January 22, 2026

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.

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

Sean FalconerHead of AI, Confluent

Sean is a Senior Director, Product Management - AI at Confluent where he works on AI strategy and thought leadership. Sean's been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Sean also hosts the popular engineering podcasts Software Engineering Daily and Software Huddle.

Britton LaRocheEnterprise Solutions Architect, Databricks

Britton is a seasoned enterprise solutions architect and technical sales expert with 20 years of experience, including roles at Oracle, MongoDB, and Confluent. He’s a certified MongoDB Developer and DBA, known for developing AI/ML models.

Brenner HeintzStaff Technical Product Marketing Manager, Apache Flink®, Confluent

Brenner Heintz focuses on applying stream processing and real-time data transformation techniques to LLM- and AI-based applications in his role as Staff Technical PMM, Apache Flink at Confluent. He is a practitioner of and evangelist for open table formats and streaming data pipelines, having previously worked at Fivetran and Databricks.