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As organizations move toward always-on applications and AI-driven decision-making, the pressure is on to deliver data continuously, reliably, and at scale. Pipelines can't just move data faster. They need to support downstream analytics, operational systems, and AI workloads without breaking under real-world conditions.
Many architectures are struggling to keep up. Latency creeps in. Data arrives out of sync. Systems designed for batch processing are stretched into real-time use cases they weren't built to support.
This roundtable brings together experts to explore how modern data architectures are evolving to support real-time pipelines and the analytics and AI systems they power.
What You'll Learn
- Where latency and data gaps break workflows
- How teams scale real-time data pipelines
- What it takes to support operational and analytical use cases in real time
- Real-world examples of real-time architectures in practice
Register Now to attend the webinar Architecting for Real-Time Data & AI. Don't miss this live event on Thursday, July 16, 11 AM PT / 2 PM ET.
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