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ML Journal

Survey: Manufacturers Embrace AI Tools to Speed Product Innovation

GenAI tools are slated for further investment in the next two years to help accelerate design and engineering processes. Artificial intelligence tools, particularly those of the GenAI variety, are making significant inroads in the new product innovation process as manufacturers seek to accelerate engineering and design to bring innovations to market faster. At the sameโ€ฆ

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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. Success depends on safe operating boundaries and preserving human accountability in AI-driven processes.

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ML Journal

Orchestrating Material Handling with AI & Automation

AI, automation, virtualization and secure IT/OT orchestration can turn material handling constraints into scalable competitive advantage. A unified digital foundation helps manufacturers reduce risk, unlock data and optimize operations across the enterprise.

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ML Journal

Welcome New Members of the MLC May 2026

Introducing the latest new members to the Manufacturing Leadership Council

MLC welcomes new members from McCain Foods, Bosch, Bloom Energy, General Mills, Abbvie, Workday, Smurfit Westrock, Pioneer Service and Standex. Learn more about the associationโ€™s newest member leaders.

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MLC Member News and Research

Building an OT Organization in an IT World

Manufacturers need intentional IT/OT structures to clarify ownership, automate workflows, and close capability gaps. A future-ready organization should fit company size, talent access, and evolving digital needs.

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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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