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Critical Issue: Smart Factories and Digital Production
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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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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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Critical Issues

Smart Factories and Supply Chains Thrive with Connectivity

Smart factories use IoT, AI, 5G and advanced analytics to improve visibility, agility and efficiency. Manufacturers are also addressing legacy equipment, labor shortages and supply chain disruptions with connected, data-driven solutions.

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Critical Issues

Digital Transformation Sees Explosive Growth

Manufacturers are rapidly boosting digital and smart factory investments, with most expecting continued growth and greater AI adoption. Survey respondents say digital transformation is redefining the industry.

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Digital M4.0 Technologies

A Pioneer in Automation Becomes a Champion for Digital Transformation

Rockwell Automation is using MES, IoT, digital twins and real-time analytics to drive digital transformation at its Twinburg plant, boost efficiency and reduce silos. The company is now exploring AI and generative AI to deepen data-driven operations.

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Plant Tour

Dialogue: Manufacturing is Still a People Business

Rockwell CEO Blake Moret says automation is accelerating, but manufacturing will remain people-driven, with workers empowered by data and AI. He sees autonomous operations growing, not replacing human decision-making.

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Critical Issues

How Close Is the Smart Factory of the Future?

Manufacturers are steadily investing in smart factories, but only 7% have extensively digitized operations; most say AI and autonomy will grow, though resistance to change remains the biggest barrier.

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Digital M4.0 Technologies

Whatโ€™s Ahead for Manufacturing in 2024?

Experts say manufacturers should prepare for a mixed 2024 outlook, with tight labor, regulatory pressure and recession risks offset by strong construction, AI adoption and resilience-focused digital strategies.

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Digital M4.0 Technologies

Empowering Frontline Workers with 3D Models and IoT Data

3D models, IoT, and AR are helping manufacturers equip frontline workers with real-time guidance, improving productivity, quality, and efficiency. A connected worker strategy can boost agility, compliance, and employee empowerment.

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Critical Issues

How Immersive Technologies Make Manufacturing More Efficient

Immersive technologies like AR, VR, and MR improve maintenance, training, safety, and compliance in smart factories. They help reduce downtime and costs while boosting productivity and equipment reliability.

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Critical Issues

Survey: Smarter Factories Are on the Way

Manufacturers are continuing M4.0 investments despite economic uncertainty, with more company-wide digital deployments and strong expectations for major gains in factory digitization by 2025.

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ML Journal

OT Asset Management: Securing Maximum Agility

Continuous OT asset visibility and inventory management strengthen cybersecurity by revealing vulnerabilities, rogue devices, and communication paths, while improving uptime, efficiency, and compliance.

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ML Journal

Smart Factories: Finding Greater Value in the Ecosystem

Smart factories can drive agility, revenue growth, and resilience when embedded in a broader digital transformation strategy. Success depends on data mastery, analytics, and scaling beyond pilot projects.

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Critical Issues

Accelerating M4.0 with Legacy System Condition Monitoring

Legacy factories can accelerate Manufacturing 4.0 by adding condition monitoring, analytics, and ML to existing equipment, improving performance and reliability without costly modernization. Success depends on secure connectivity, data strategy, and expert guidance.

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Critical Issues

Top Manufacturing Tech Trends of 2022

Manufacturers embraced AI, digital twins, collaborative robots, cybersecurity training and low-code tools in 2022, driving smarter operations, faster innovation and safer, more flexible production.

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