Industrial manufacturing is undergoing a fundamental shift where traditional OEMs and systems integrators face obsolescence unless they abandon legacy licensing models in favor of agentic development and composable architectures. Unified Namespace (UNS) serves as the essential foundation for current-state data, while knowledge graphs provide the contextual reasoning layer necessary to deduce causality across complex processes. Successful digital transformation requires a specialized team—comprising a change agent, technologist, executive sponsor, and IT liaison—to navigate the transition from 2D tag hierarchies to 3D data models. As manufacturers increasingly view their products as vehicles for SaaS-based services, the ability to capture tribal knowledge and automate development pipelines has become the primary competitive advantage. Companies failing to adopt these modern, data-centric strategies risk significant market contraction as end-users increasingly prioritize in-house, agile solutions over expensive, rigid vendor platforms.
Part 1: Business Models, Leadership
Part 2: Architecture, Strategy
Part 3: Implementation, Operational Insights
Part 4: Governance, Future Technology
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