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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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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

Can AI Agents Catalyze Faster, Smarter Product Design?

AI agents help manufacturers speed product design by surfacing cross-system insights, reducing rework and automating routine tasks. They enhance human judgment with relevant options and historical context, especially when paired with strong governance and clear KPIs.

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ML Journal

Dialogue: Leading Manufacturing Through AI Change

Rockwellโ€™s Blake Moret says manufacturing must urgently adopt AI and smart manufacturing, with supportive policy and a learning culture, to stay competitive amid tariffs and supply chain risks.

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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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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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Data Governance, Mastery and Interoperability

5 Key Questions on the Path to Industrial DataOps

Industrial DataOps helps manufacturers turn siloed data into real-time insights, improving agility, continuous improvement, and smart manufacturing. A data product strategy and unified standards can scale value across factories, supply chains, and future AI needs.

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Data Governance, Mastery and Interoperability

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.

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Critical Issues

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.

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Data Governance, Mastery and Interoperability

AI with Open and Scaled Data Sharing in Semiconductor Manufacturing

Open, scaled data sharing can turn raw manufacturing data into AI-ready assets, improving productivity, resilience, and workforce effectiveness. A semiconductor workshop benchmarked near-term economic value from collaborative data ecosystems and virtual metrology applications.

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