IT Architecture & Strategy

Most large enterprises sit on decades of legacy applications that cannot be replaced. These systems hold the operational core of the business — order management, customer records, network provisioning, claims processing, policy administration, supply chain transactions — whatever sits at the operational core of your business. They were never designed for real-time intelligence, event-driven integration, or AI-powered decision making (what we call a governed, unified, model-driven real-time data platform). Yet the business demand for all three has never been greater. The data and AI landscape has fragmented into specialized silos. Event streaming platforms, Lakehouse architectures, and AI inference engines each solve part of the problem in isolation. No commercial platform unifies them. The result is integration complexity, governance gaps, and AI capabilities disconnected from the operational systems that need them most. GUM-RTDP  — the Governed, Unified, Model-Driven Real-Time Data Platform — solves this. It connects the EDA Platform, the Lakehouse Platform, and the AI Speed Layer into a single governed whole — without modifying legacy applications, without forcing a choice between real-time and batch, and without sacrificing governance for speed.