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manufacturing IT

5 articles · Page 1 of 1
Digital Deification
Digital Deification
Oct 11, 2026 · Industry Insights

Beyond Data Models: How Ontology & FDE Capture Manufacturing Tacit Knowledge

A manufacturing CIO explains why ERP and MES systems fail without an ontology layer that codifies tacit knowledge into executable actions, and introduces Forward Deployed Engineering (FDE) — small cross-functional teams that iteratively build business ontologies in 8-12 week cycles to turn expert intuition into machine-enforceable rules.

FDEbusiness semanticsdigital transformation
0 likes · 13 min read
Beyond Data Models: How Ontology & FDE Capture Manufacturing Tacit Knowledge
Digital Deification
Digital Deification
Oct 7, 2026 · Industry Insights

14 Manufacturing Supply Chain Systems Explained: Who Owns What?

This article maps 14 manufacturing supply chain systems across three layers—commitment, planning, execution—plus a master data foundation, explaining each system's role, boundaries, integration principles, and common selection pitfalls to help leaders identify gaps in their promise-to-delivery chain.

APSERPMDM
0 likes · 26 min read
14 Manufacturing Supply Chain Systems Explained: Who Owns What?
Digital Deification
Digital Deification
Sep 7, 2026 · Industry Insights

Born Unified vs. Stitched Together: The Two Faces of ERP Integration

The article distinguishes two ERP integration approaches: model integration, where a unified data model ensures real-time consistency across finance and operations, and application integration, which connects independent modules via APIs and requires ongoing governance; it provides four key questions to help enterprises choose based on their need for real-time consistency, process rigidity, IT governance capacity, and growth strategy.

API GovernanceERPEnterprise Architecture
0 likes · 8 min read
Born Unified vs. Stitched Together: The Two Faces of ERP Integration
Digital Deification
Digital Deification
Aug 10, 2026 · R&D Management

Beyond Tech: 7 Business Cognitions CIOs Must Master to Become Value Creators

This article argues that CIOs fail not due to technical gaps but lack of business cognition, outlining seven essential understandings—profit logic, customer value, end-to-end processes, industry cycles, organizational politics, business-language communication, and a systematic four-step methodology—to transform from cost centers into strategic value creators.

CIOIT leadershipbusiness acumen
0 likes · 23 min read
Beyond Tech: 7 Business Cognitions CIOs Must Master to Become Value Creators