Smart Manufacturing
Standardize Before You Scale: A CFO/COO Playbook for Best-of-Breed Without the Bloat
The fastest way to scale agentic AI across multi-site manufacturing is not rip-and-replace. According to Infinite Uptime and Cybus at the AI Frontiers 2025 event, the correct sequence is: standardize signals at the sensing layer, require…
The Next Manufacturing Advantage: From Products to Intelligent, Connected Services
Servitization, the shift from selling equipment to delivering ongoing outcomes, is redefining manufacturing competition. Service contracts can deliver margins of 25% or more, compared to roughly 10% on new equipment sales. According to McKinsey, OEMs with…
Beyond Dashboards: Manufacturers Want Predictive Data, Not Pretty Graphs
Manufacturers today face a critical gap: factories are full of dashboards showing vibration graphs, torque curves, and temperature plots, yet critical equipment still fails unexpectedly. Experts from InfluxData, CGI, Bosch, and Trask identify the fix: moving…
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 Yourself Many industrial leaders assume…
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
Brian Taylor, Head of Electronics and Semiconductor US at Siemens, explains why semiconductor fabs costing tens of billions of dollars need a connected digital twin strategy that links chip design through equipment behavior to facility management,…
What Makes Digital Investments in Industry Actually Pay Off
Amit Khanna, Vice President of Business Excellence at Tata Steel Thailand, outlined how digital reliability transitions from isolated plant-floor monitoring to a boardroom-level strategic investment by integrating equipment health data with production process parameters like throughput,…
Real-Time Data Plumbing: The Hidden Cost of Scaling Predictive Analytics
The "Predict, Prevent, Optimize" panel at AI Frontiers 2025 identified the primary barrier to scaling predictive analytics in manufacturing: not machine learning models, but the data pipelines that must move sensor readings quickly, cleanly, and in…
Building Trust in Autonomous AI for High-Stakes Manufacturing
At AI Frontiers 2025, the "Agentic AI in Manufacturing: From Copilots to Autonomous Systems" panel outlined five strategies for building operator and executive trust in autonomous AI across high-stakes factory environments where even minutes of unplanned…
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…