Hybrid Manufacturing
Who Should Own an AI Pilot in Manufacturing?
The business owner of an AI pilot in manufacturing should be the line-of-business leader with Profit and Loss accountability over the KPI the pilot targets. The executive sponsor should be the VP or Director of Operations.…
Can SMEs Afford Agentic AI?
SMEs can afford agentic AI when they deploy it with discipline and focus on ROI at every step. At the AI Frontiers 2025 session organized by IIoT World, panelists from AstraZeneca, Cybus, Infinite Uptime, and Frost…
Agentic AI in Manufacturing: Best Practices for Quality, Speed, and Safety
Agentic AI in manufacturing improves product quality and decision-making speed only when introduced with strong data foundations, layered governance, and human-in-the-loop oversight. At the AI Frontiers 2025 event, leaders from Arch Systems, ZF Group, CESMII, and…
GenAI in Manufacturing: Start with Data Quality, Governance, and Quick Wins
Manufacturers implementing GenAI should start with data quality at the source, wrap it with governance covering ownership, lineage, and access, and then win early with one high-value use case. That sequence, drawn from the AI Frontiers…
The Human Side of Smart Manufacturing: People, Partners, and Purpose in IIoT and AI
At IIoT World Manufacturing Day, the session "Accelerating Innovation and Agility in Manufacturing with IIoT and Machine Learning" made clear that human factors, including purpose, collaboration, and trust, are as critical as technology in smart manufacturing.…
Industry 4.0 project stuck in pilot? Tackle these 5 roadblocks
According to the World Economic Forum, 70% of Industry 4.0 projects never move beyond the pilot phase. Research by IndustryWeek shows 86% of manufacturers are pursuing digital transformation, yet most stall on data. According to HighByte,…
From Pilots to Progress: How Manufacturers Can Scale MES and Industry 4.0 Initiatives the Right Way
At the MES & Industry 4.0 event in Porto, Jeff Winter, VP of Business Strategy at Critical Manufacturing, outlined a practical roadmap for manufacturers ready to move beyond experimentation and into scalable transformation. Start with a…
Aligning People, Data, and Priorities: A Real-World Strategy for Scaling Digital Manufacturing
At the MES & Industry 4.0 Summit in Porto, May Yap, Senior Vice President and Chief Information Officer at Jabil, offered a clear message for manufacturers navigating global digital transformation: technology isn’t the hard part—alignment is. Across…
Rethinking MES Architecture for the Age of AI and Edge Computing
Traditional Manufacturing Execution Systems were designed for a world where data flowed in one direction, from the shop floor up to enterprise dashboards, in batch intervals measured in minutes or hours. That architecture cannot support the…
Subscription MES: A New Path to Digital Transformation
What if deploying MES didn’t require a massive budget, a year-long integration plan, or buy-in from every corner of the enterprise? A growing number of manufacturers are shifting away from all-in-one MES rollouts and embracing a…
From Execution to Intelligence: Generative AI’s Role in the Future of MES
Manufacturing Execution Systems have served as the operational backbone of factory floors for decades, orchestrating production schedules, tracking work-in-progress, and enforcing quality standards. Now, generative AI is reshaping what MES can be, transforming these systems from…
Why Edge-to-Cloud Data Symmetry Is the Foundation of Scalable Smart Manufacturing
As manufacturers accelerate their digital transformation journeys, the limitations of fragmented data environments are becoming more visible—and more costly. The promise of smart manufacturing hinges on one capability: enabling data to move seamlessly from the factory…