AI isn’t held back by a lack of data. It’s held back by data that’s trapped, delayed, or stripped of context. Some of the most valuable data in the business—payments, call logs, ledger entries—still lives deep within HPE Nonstop. It’s reliable and resilient, but largely invisible to AI systems that depend on context, speed, and a scalable, integrated data infrastructure.
To power AI in production, that data must stream continuously, contextually, and securely. This requires a new kind of architecture: one where HPE Nonstop remains the system of record, and Striim transforms it into a real-time engine for intelligence.
In this session, you will learn how leading enterprises use Striim to stream Nonstop data without disruption into cloud platforms and machine learning pipelines for fraud detection, predictive ops, and agentic workflows. No replatforming. No rewrites. Just smarter systems that think with the business.
You will leave with a complete understanding of:
- Why traditional architectures fall short for AI (and how to fix them)
- How to stream data from HPE Nonstop (SQL/MP, SQL/MX, Enscribe) into cloud and AI platforms with zero disruption
- How in-stream enrichment and transformations create AI-ready signals on the fly
- How to automatically detect and secure sensitive data in motion
- What an AI-native architecture looks like when your most trusted systems become intelligent systems
