In the race to the Industrial AI Frontier, most projects don’t fail because of poor algorithms; they fail because of "Garbage Data." When raw OT signals meet sophisticated IT models without a bridge, the result is a strategic bottleneck that drains budgets and yields zero insight.
This white paper provides the architectural blueprint for overcoming the IT/OT Convergence Chasm. Learn how to transform chaotic edge data into AI-Ready Intelligence using a Unified Namespace (UNS) powered by a software-defined Intelligent Edge.
Inside This White Paper:
- The "Garbage In, Garbage Out" Crisis: Why 80% of industrial data is currently unusable for AI and how to fix it at the source.
- The Architectural Shift: Moving beyond simple gateways to an Intelligent Edge that normalizes and contextualizes data in real-time.
- The "All-in-One" Economic Benefit: Quantifying the ROI of hardware consolidation, bandwidth reduction, and storage optimization.
- Real-World Proven Results: From predictive maintenance on hydraulic systems to CV-integrated quality control.
Whether you are struggling with spurious correlations in your models or skyrocketing cloud costs, this report offers a clear path to building a scalable, reliable, and AI-ready industrial infrastructure.