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ML Journal

The Scaling Constraint: Trusted Operational Information

As manufacturers scale analytics and AI, hidden OT technical debt often undermines trusted operational information. Manufacturers rarely discover information-scaling problems when a machine fails; they discover them when comparable plants produce different answers to the same performance question. For example, one site reports higher uptime than another. Both teams trust their numbers, yet the comparisonโ€ฆ

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ML Journal

Scale and Accuracy with the Buyer-Centric Smart Factory

When engineering, sales and production keep separate versions of the same configurable product, complexity turns into cost, delay and risk. Todayโ€™s buyers want products built around their exact requirements, but they want to buy them with the ease of ordering something off a shelf. Manufacturers are trying to deliver on that expectation, and many areโ€ฆ

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ML Journal

A Practical Approach to Physical AI in Manufacturing

Measurable value from physical AI begins with existing assets, laying the foundation for autonomous operations in the future. At trade shows and conferences worldwide, humanoid robotics are taking the stage, heralding for some a new era in industrial automation. The growing availability of robotics and other physical AI-enabled machines might suggest manufacturers are poised toโ€ฆ

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ML Journal

Upskilling the Manufacturing Workforce for AI

To bridge labor gaps, manufacturers must upskill their workforce to transition from task execution to AI supervision and operational governance. Manufacturers are under growing pressure to do more with a constrained workforce. In June 2026, there were 481,000 manufacturing jobs open nationwide, according to the

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Industrial AI

Engendering Technology Trust in Physical and Agentic AI

Manufacturers adopting physical and agentic AI must build trust in reliability, security, and safety by using defined safety envelopes and preserving human accountability. As adoption grows, trust will separate leaders from laggards.

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ML Journal

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.

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Critical Issues

Practical AI Steps to Build Smarter Factories in 2026

AI is helping factories improve speed, resilience, and profitability by embedding digitization and automation into daily workflows. Successful 2026 pilots start with business outcomes, use ready data, and scale through human-in-the-loop governance.

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Critical Issues

Survey: Smart Factories Enter the Execution Era

Manufacturers say smart factories have moved into an execution era, with AI maturing, digital transformation becoming a competitive advantage, and more than 90% planning to maintain or increase investments in 2026.

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ML Awards

2025 in Photos at the MLC

MLCโ€™s 2025 highlights included plant tours at United Scrap Metal and GM, Rethink sessions on digital manufacturing, and a Manufacturing Leadership Awards gala honoring leaders and breakthrough projects.

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Annual Summit Content

MLC 2025 Photo Gallery

MLCโ€™s 2025 highlights included plant tours at United Scrap Metal and GM, Rethink sessions on digital manufacturing, and an awards gala honoring Merckโ€™s Besu Alemayehu and standout manufacturing teams.

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Critical Issues

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.

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Annual Summit Content

The Best of Rethink 2025

Rethink 2025 marked 20 years of Manufacturing 4.0 insights, featuring sessions on digital transformation, innovation, and next-generation leadership from industry experts and manufacturers.

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Critical Issues Calls

The Best of 2025 Decision Compass Calls

MLCโ€™s Decision Compass calls explore key Manufacturing 4.0 topics, from generative AI and workforce engagement to predictive maintenance, cloud supply chains, and carbon reuse. Archived sessions are available to members in the content library.

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ML Journal

Using AI to Boost Supply Chain Visibility and Resiliency

AI improves supply chain visibility and resilience with real-time data, predictive insights, and automation. It helps manufacturers anticipate disruptions, respond faster, and reduce downtime across operations.

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Annual Summit Content

Scenes from Rethink 2025

Manufacturing leaders gathered in Florida for MLCโ€™s record-setting Rethink 2025, focusing on accelerating digital transformation, AI, and Manufacturing 4.0 through panels, case studies, and awards.

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