The Streamhouse: The Data Architecture that Powers AI at Machine Speed

Tuesday, November 17, 2026

2:30pm EST

Most data platforms were designed for an era of historical reporting and BI dashboards. But AI agents and real-time applications need continuously updated, governed data to make decisions and act at machine speed.

Join Michael Agnich, VP, DSP, and Sean Falconer, VP, Product Management, Confluent Intelligence, to explore the Streamhouse: a new data architecture that brings streaming, processing, governance, and low-latency query together in a unified operational foundation alongside your lakehouse.

You’ll discover how a Streamhouse can help your organization:

• Give AI agents, applications, and analytics access to a continuously updated view of the business
• Reduce the cost and complexity of stitching together Kafka, Flink, custom services, governance tools, and serving databases
• Process, govern, and serve streaming data through a more unified architecture
• Make live data immediately available for operational use while delivering it to open Iceberg and Delta Lake tables
• Build an open, portable data foundation across hybrid and multicloud environments

The session will also include a technical walkthrough showing how data can be ingested, continuously enriched, served to an AI agent with low latency, and made available for analytics without relying on traditional batch extract pipelines.

See how the Streamhouse can help your teams simplify data architecture, reduce pipeline maintenance, and turn real-time data into faster, more reliable decisions.