Beyond Dashboards: Manufacturers Want Predictive Data, Not Pretty Graphs
Walk into any modern factory and you’ll see walls of dashboards. Vibration graphs, torque curves, temperature plots, even “traffic-light” alarms glowing red or green. It looks sophisticated — until a critical press fails and the line…
Industrial AI in Practice: Siemens Transforms Factory Data into Performance
At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results.…
Building Digital Reliability: Why Your Maintenance Strategy Needs External Expertise
The manufacturing sector faces a persistent tension: should organizations build all digital capabilities in-house or leverage external partners? The answer, increasingly, is neither—it’s both, strategically combined.The Cost of Doing Everything YourselfMany industrial leaders assume that maintaining…
IIoT and Agentic AI in Manufacturing: Audience Questions, Expert Answers
At the AI Frontiers event, the session “Agentic AI & Integrated Data Workflows: Extracting Value from Existing Manufacturing Systems” drew an engaged audience eager to probe real-world challenges. Their questions cut straight to the heart of…
Why Every Semiconductor Fab Needs a Digital Twin Strategy — Not Just Digital Tools
The semiconductor industry is moving faster than its tools can keep up. The pace of change, the explosion of data, and the pressure to build fabs in record time are colliding — and the result is…
What Makes Digital Investments in Industry Actually Pay Off
Every industrial company is under pressure to “go digital.” But not every investment creates value—and in manufacturing, complexity can spread faster than clarity.According to Amit Khanna, Vice President of Business Excellence at Tata Steel Thailand, the real challenge…
Real-Time Data Plumbing: The Hidden Cost of Scaling Predictive Analytics
When manufacturers discuss predictive analytics, the focus often jumps straight to machine learning models or AI. But as the panel “Predict, Prevent, Optimize: Real Results from Augmented Industrial Data” made clear, the biggest challenge isn’t the math—it’s…
Building Trust in Autonomous AI for High-Stakes Manufacturing
When factories run on thin margins and even a few minutes of downtime can cost millions, the conversation about autonomous AI shifts from can we to should we. At the “Agentic AI in Manufacturing: From Copilots to Autonomous Systems”…
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…