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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 Digest

Survey: GenAI Adoption Surges In Manufacturing

Manufacturers are rapidly adopting generative AI, with 71% already using it and nearly 90% planning to expand use in two years. Most have corporate AI policies, though maturity remains early amid data and skills challenges.

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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

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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Industrial AI

How Manufacturers Can Achieve GenAI Success

Manufacturers can maximize GenAI by centralizing tools, rethinking business models, supporting workers, closing talent gaps, building partnerships and focusing data strategy on AI readiness.

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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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Critical Issues

The AI Divide: Manufacturingโ€™s Pivotal Moment is Here

AI is now production-ready and delivering measurable manufacturing gains in quality, maintenance, and productivity. Manufacturers that fail to adopt it quickly risk falling behind AI-enabled competitors.

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Industrial AI

Maximizing Continuous Improvement with GenAI

GenAI can help manufacturers overcome CI sustainability and connectivity challenges by automating workflows, capturing knowledge, and measuring savings. It also improves human decision-making, though data security, legacy integration, and ROI remain key hurdles.

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Industrial AI

How the C-suite Can Drive Results for AI Success

Leaders need six pillars for transformative GenAI, including centralized governance, data maturity, partnerships, talent, and ethical guardrails. Success requires reimagining business modelsโ€”not just automating existing processes.

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ML Journal

Profit by Design

AI is helping manufacturers make circularity profitable by extending product life cycles, reducing waste, and lowering emissions. GenAI and agentic AI also strengthen resilience and create bottom-line value.

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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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Future of Manufacturing Project

Scenes from MLCโ€™s AI Conference

More than 190 manufacturing executives gathered in Orlando for MLCโ€™s AI-Centric Factories of the Future conference, where case studies and panels explored AIโ€™s opportunities, challenges, and future in manufacturing.

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Data Mastery

The Best of the Manufacturing Leadership Journal

2024โ€™s best Manufacturing Leadership Journal articles cover digital twins, GenAI, smart factories, and M4.0 maturity models, offering practical strategies for innovation, workforce readiness, and operational excellence.

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