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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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Plant Tour Reviews

MLC Plant Tour: End-to-End Digital at Analog Devices and Lillyย 

If youโ€™re asked to picture the things that are โ€œquintessentially Irish,โ€ you might think of verdant landscapes, thatched-roof cottages, craft whisky and pub culture. But there is an additional, important element to add to that list: Ireland is also a global leader in advanced manufacturing. The Manufacturing Leadership Council recently brought around 100 of itsโ€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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Press Releases

Leaders from Corning, General Motors Join Manufacturing Leadership Council Board of Governors

Washington, D.C.โ€”The Manufacturing Leadership Council, the digital transformation division of the National Association of Manufacturers, today announced the election of Kristen DellaVecchia, Corporate Sustainability Project Manager at Corning Incorporated, and Mike Trevorrow, Senior Vice President of Global Manufacturing at General Motors, to the MLCโ€™s Board of Governors. The MLC Board of Governors is a distinguishedโ€ฆ

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ML Journal

Executive Dialogue: Leading at AI Speed

Alan Machuga of Rheem explains why the future of AI isnโ€™t content creationโ€”itโ€™s better business decisions. Penelope Brown: Hello, everyone, and welcome to todayโ€™s edition of Executive Dialogue from the Manufacturing Leadership Council. Today I am super excited to be talking to Alan Machuga, who is the Executive Vice President of Digital Strategy and AIโ€ฆ

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Volatile Markets Cost Fabricators Speed, Not Price

Fabricators lose margin to slow repricing, not high material costs; the fix is connected pricing, sourcing and production data. Adapting to the speed of changes driving todayโ€™s market instability is a major challenge for manufacturers. According to the National Association of Manufacturersโ€™ Q2

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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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ML Journal

Modernizing Maintenance for Sustainable Productivity

The manufacturers closing the productivity gap are augmenting automation with maintenance operations that are data-driven, predictive and connected. A pump fails on a Friday night. A technician shows up, diagnoses the problem from memory, fixes it in two hours, and goes home. No record of what he found. Limited documentation of what he did. Noโ€ฆ

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ML Journal

Survey: In Manufacturing Data We Trustโ€”Mostly

The Manufacturing Leadership Councilโ€™s latest survey reveals steady progress toward data mastery, alongside persistent gaps in verification, integration and untapped potential โ€œIn God we trust, all others must bring data.โ€ Most commonly attributed to statistician and business theorist William Edwards Deming, those nine words make for a popular post on LinkedIn and elsewhere online. Ironyโ€ฆ

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