News and Insights
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.
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.
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.
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.
Digital Manufacturing in Action at GM’s Cadillac Plant in Tennessee
GM’s Cadillac plant in Tennessee uses robotics, AI and automation to improve safety, quality and efficiency, including battery inspections and a robot installing seats on a moving line.
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.
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.
The Industrial Data Foundation Imperative: Building Manufacturing’s AI Future
Manufacturers need strong industrial data governance and contextualization before scaling AI. Companies with mature data foundations are more likely to achieve real ROI and enterprise-wide AI success.
The AI Divide: Manufacturing’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.
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.
Connectivity and AI Drive the Future of Manufacturing
AI, fiber optics, 5G and edge computing are transforming manufacturing into agile smart factories with faster decisions, better quality control and stronger security.
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 models—not just automating existing processes.
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.
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.
Scenes from MLC’s AI Conference
More than 190 manufacturing executives gathered in Orlando for MLC’s AI-Centric Factories of the Future conference, where case studies and panels explored AI’s opportunities, challenges, and future in manufacturing.
All Aboard the AI Train as Manufacturing Leaders Embrace the Future
Manufacturing leaders are rapidly embracing AI, with MLC highlighting its economic potential, rising investment and key challenges like data quality, skills gaps and measuring ROI.
Future of Manufacturing Project: The Growing Competition for AI Supremacy
MLC’s David Brousell says AI is reshaping manufacturing as global competition for AI leadership intensifies, with ChatGPT driving rapid growth, huge investment, and major opportunities and challenges for industry.
The Best of the Manufacturing Leadership Journal
2024’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.
Seeing the Unseen: Observability in Manufacturing
Software observability principles can help manufacturers gain real-time visibility, enable remote monitoring, and improve decision-making. Computer vision and AI add rich real-world data to boost efficiency, safety, and operational excellence.
Building a Generative AI-Powered Digital Twin
Celanese is using a generative AI chatbot, Celia, to power its digital twin and help manufacturing teams troubleshoot, optimize production, and make faster decisions. The platform spans 30+ sites and is already improving visibility, collaboration, and downtime reduction.
