15 Real-World AI in Manufacturing Use Cases: From Predictive Maintenance to Agentic AI
The industrial sector is accelerating the adoption of practical, high-impact AI applications. Based on insights from IIoT World Days 2025, industry leaders focus on scaling these technologies across global operations. From Agentic AI that autonomously manages supply chains to Computer…
The Future of Industrial AI: How Orchestration Solves the “Process Drift” Challenge
With the “steady state” of manufacturing becoming a historical relic due to volatile energy costs, shifting feedstocks, and a shrinking workforce, companies are increasingly adopting Industrial AI Orchestration. Rather than merely deploying isolated models, this technology serves as…
The Shift Toward Autonomous Production in Process Industries
The definition of autonomy in manufacturing is shifting from a conceptual goal to a practical requirement. According to Axel Lorenz, CEO of Process Automation at Siemens AG, autonomous production allows facilities to maintain consistent output despite…
The Small and Medium Manufacturer (SMM) Data Reality Check: An AI Readiness Checklist
How do you determine if your plant is ready for Prescriptive AI? Before investing in a prescriptive AI platform, Small and Medium Manufacturers (SMMs) must verify that their data environment is a “clean engine” ready for high-performance…
The Evolution of Reliability: How Agentic AI Closes the ‘Detect-to-Do’ Gap
Agentic AI moves industrial maintenance beyond simple alerts into autonomous execution. While standard predictive maintenance forecasts failures, Agentic AI coordinates the entire resolution process, querying inventory (CMMS), scheduling downtime (MES), and drafting work orders without manual…
The Digital Backbone: Bridging the Manufacturing Expertise Gap with Prescriptive AI
The manufacturing sector is currently facing an existential challenge: the “brain drain.” With approximately 30% of the workforce nearing retirement, the industry is losing decades of unwritten “tribal knowledge.” In an environment of tightening margins and increasing complexity,…
The New Skills Gap: What’s at Stake in the Global Chip Race
Employer-educator partnerships are key to overcoming the semiconductor talent shortage, accelerating innovation, and maintaining economic competitiveness. Fabrication labs, known as “fabs,” are the linchpin of the semiconductor industry. Fabs are where microchips are manufactured — the…
Stop Feeding Garbage to Your AI: Why 80% Accuracy in Document Processing is Now a Failure
A fundamental change in expectations is reshaping how manufacturers evaluate artificial intelligence systems. The long-standing benchmark of 80% accuracy in document processing is no longer acceptable. In the context of AI-driven product and supply-chain decisions, this…
The New Industrial Trade: Your Data Scientist is Useless Without Your Floor Technician
We are getting the conversation about data infrastructure backwards.The chatter online is saturated with debates on cloud versus edge, the merits of one database over another, and the magical promise of AI algorithms. These are implementation…
EU Data Regulation Is Quietly Changing Who Controls Industrial Machine Data
Why access to machine data is becoming a strategic issueFor years, many manufacturers operated with limited access to the data generated by their own machines. Interfaces were proprietary, extraction was restricted, and meaningful reuse often required…