News and Insights
From Smart Factory to Smart Enterprise
Manufacturers are digitizing production, but data gaps, workforce readiness and disconnected processes are limiting smart factory ROI. The next step is linking factory systems, product knowledge and enterprise workflows into a smart enterprise.
The Data-Ready Factory Starts With Trust
Manufacturers that master data governance and interoperability gain better agility, forecast accuracy, and capital allocation. Shared definitions and ownership are essential before AI can deliver reliable results.
Smart Factories, AI, Supply Chains and Data: MLC’s 2025 Surveys
MLC’s 2025 surveys show manufacturers advancing digital maturity, AI, and data use, but facing hurdles from legacy systems, data gaps, workforce resistance, and supply chain disruption.
The Best of the Manufacturing Leadership Journal 2025
A best-of collection from Manufacturing Leadership Journal 2025 highlights key insights on AI, digital twins, supply networks, sustainability and data governance. These articles offer practical strategies for leading manufacturing through rapid transformation.
How Manufacturers Can Achieve GenAI Success
Manufacturers can maximize GenAI by centralizing tools, rethinking business models, supporting workers, closing talent gaps, building partnerships and focusing data strategy on AI readiness.
How Data Strategy and Governance Can Drive Success for Manufacturers
Manufacturers need a clear data strategy and governance framework to improve supply chain visibility, ensure compliance, and build the data foundation required for effective AI and automation.
Mastering Manufacturing Data for Real Advantage
Manufacturers generate vast data, but fragmented systems and weak governance limit its value. A staged approach focused on reliability, ownership, and monitoring turns data into faster, more confident decisions.
From Legacy to Leading Edge: Real Stories of Data-Driven Transformation
Four company stories show how modernizing legacy data systems, governance, and analytics helps manufacturers unlock better decisions, operational visibility, and AI-driven competitive advantage.
Survey: Manufacturers See Data, Lack Strategy
Manufacturers say data is driving efficiency, cost savings and better decisions, but nearly half lack corporate governance plans and many still struggle to turn data into strategy.
Digital Transformation Project Success Depends on Quality Data
Digital transformation projects often fail because of poor data quality, not just people, process or technology gaps. As AI becomes central to manufacturing, clean, reliable data is even more critical to success.
The Industrial Data Foundation Imperative: Building Manufacturing’s AI Future
Manufacturers need strong industrial data governance and contextualization before scaling AI. Companies with mature data foundations are more likely to achieve real ROI and enterprise-wide AI success.
AI Turns Data Governance into a Middle Market Advantage
AI is making data governance practical and affordable for middle market manufacturers, turning clean data into a competitive advantage. AI-powered tools help reduce errors, improve decisions, and embed governance into daily operations.
Developing a Manufacturing Data Strategy
A strong manufacturing data strategy improves visibility, resilience, and collaboration through AI, IIoT, analytics, and governance. Success requires both technology and cultural change to turn data into action.
Dialogue: Digital Culture Begins with Executive Intent
CESMII’s John Dyck says digital transformation depends on executive intent, a data quality policy and a culture that trusts data to bridge IT and OT and drive better decisions.
Reflections on Hannover Fair 2025
European manufacturers are broadly at a similar stage of digital transformation as U.S. peers, with leadership and legacy systems still slowing progress. Europe may be ahead in data management, especially interoperability, data sharing, and data sovereignty.
Unlocking Manufacturing Excellence with Digital Twins
Digital twins can boost manufacturing excellence, but success depends on strong data governance, cross-functional alignment, and workforce development. Leaders should start with a clear strategy and culture change, not just technology.
MLC Research Shines a Light on the State of M4.0
MLC’s 2024 research shows manufacturers remain in mid-stage M4.0 adoption, still working to improve digital maturity, data use, AI investment, and leadership skills.
The Best of the Manufacturing Leadership Journal
2024’s best Manufacturing Leadership Journal articles cover digital twins, GenAI, smart factories, and M4.0 maturity models, offering practical strategies for innovation, workforce readiness, and operational excellence.
Preparing the Supply Chain Workforce for an AI Revolution
Manufacturers need a strong data foundation and cross-functional collaboration to unlock AI’s supply chain benefits, from better demand forecasting and inventory planning to more efficient admin work.
Manufacturing in 2030: The Opportunity and Challenge of Manufacturing Data
Manufacturers see data as essential to competitiveness, but survey results show gaps in security, quality, access and analytics. Many still rely on spreadsheets even as data volumes surge toward smarter, more predictive operations.
