Your business never stops moving—orders change, inventory shifts, and customer needs evolve in real time. But as software transitions from answering questions to taking autonomous action, most enterprise AI initiatives struggle because their underlying data is trapped in scheduled batch cycles and lagging copies.

Watch the highlights of the keynote at Current San Francisco to learn more about Streamhouse—a data architecture centered on delivering fresh, trusted, and unified operational context directly to AI agents and production applications without replacing your existing lakehouses or warehouses. Featuring insights from Confluent executives, this session explores how to bridge the gap between what happened before and what is happening now.

Why You Should Attend

• Master the Shift to Agentic AI: Understand why autonomous AI agents demand a fundamentally different operational data foundation from traditional, human-driven analytics.
• Eliminate Multiple Versions of the Truth: See how a Streamhouse keeps decentralized agents, applications, and analytics reasoning from the exact same live business state.
• Protect Existing Investments: Learn how to build an always-current, mission-critical operational layer that complements your current warehouse and lakehouse architectures.
• Hear Real-World Architectures in Action: Gain practical perspectives from leading enterprises on scaling live context for production workloads.