AI agents and real-time applications need to understand what is happening in the business now—not hours or days later. Yet most enterprise data architectures were built for business intelligence and historical analysis, creating gaps in freshness, consistency and operational context.
Join IBM and Confluent experts to explore the emerging Streamhouse architecture and how it continuously captures, processes and governs business data so agents, applications and analytics can operate from the same fresh, trusted context. Learn how Streamhouse works alongside existing lakehouses and warehouses to support real-time, AI-driven operations.
The session will cover:
- Why AI and real-time applications require a different approach to enterprise data
- How Streamhouse provides always-current, governed business context
- How Confluent’s Data Streaming Platform supports Streamhouse architecture
- Practical ways organizations can reduce data duplication and operational complexity while improving application and agent performance
If your business operates in real time, your data should too. Join us to learn how Streamhouse can help close that gap.