What Makes the Difference Between an IIoT Pilot That Stalls and One That Scales?
Across the industrial sector, many companies launch promising IIoT pilots. Yet only a fraction of them manage to expand those proof-of-concepts into enterprise-wide deployments. The difference isn’t usually about ambition—it’s about execution. At AI Frontiers 2025,…
Trust, Security, and Human Factors in Agentic AI
Autonomous AI on the factory floor is not just a technical challenge — it’s a human one. Operators want to know they can trust the system. Executives need accountability. Security teams demand resilience. At the “Agentic AI…
Is a PoC the Right Path for Manufacturing AI?
PoCs get a bad rap in factories—they often feel like science projects that never leave the lab. They don’t have to. When a PoC is designed to prove scale, not just possibility, it becomes the fastest path…
Rethinking Operational Precision: Why Indoor Industries Need Their GPS Moment
Do you remember life before GPS? Many of us can, but only faintly — folding maps in the car, printing directions, or stopping at gas stations for help. It wasn’t long ago, yet it already feels…
Inside Tata Steel’s Reliability Mindset: What Really Drives Uptime
Tata Steel Thailand judges plant reliability by three visible signals: housekeeping discipline, visually tagged critical assets, and active daily management boards. According to Amit Khanna, VP of Business Excellence at Tata Steel Thailand, real-time gas monitoring…
The End of the Pixel Counter Era — How AI Is Quietly Transforming Semiconductor Manufacturing
AI is changing how semiconductor fabs inspect wafers and maintain equipment. AI vision systems now train on as few as five images to distinguish real defects from acceptable variation, cutting false alarms and costly reworks. Predictive…
Modernizing Without Disruption: A Practical Approach to Industrial Data Growth
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next —…
The Most Effective Strategies for Integrating Agentic AI Into Legacy Manufacturing Environments Without a Full Overhaul
Answering the audience’s questionsIntegrating agentic AI into legacy manufacturing does not require replacing existing infrastructure. Panelists from Litmus, ZF Group, CESMII, and Arch Systems at AI Frontiers 2025 outlined a practical six-part approach: free trapped data,…
How AI and the Digital Thread Improve Machine Tool Systems
Artificial intelligence and digital connectivity are transforming how machine tools operate — from the way parts are designed and programmed to how data flows across production. The combination of AI-driven automation and a digital thread enables…
Managing the Rise of Agentic AI in Manufacturing
Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address…