Predictive Analytics
80% of Plant Measurement Faults Fixed Without Support
A technician walks up to a faulty measurement device, scans the QR code on its display, and gets a plain-language diagnosis with step-by-step repair instructions, all before picking up the phone. David Lincoln, Digital Lead of…
4 Predictive Maintenance Platforms Compared
According to an IDC InfoBrief, 82% of companies experienced at least one unplanned outage over the past three years, with an average cost of $2 million per event. Among heavy IIoT adopters, 63% report productivity and…
Your Crane Doesn’t Fail on a Schedule. So Why Is It Monitored on One?
Standard predictive maintenance was built for steady-state machines. A duty-cycle crane behaves nothing like one, and that mismatch is exactly where the failures hide. The Short Version A crane is the most consequential moving asset on…
Why Predictive Maintenance Programs Stall After the First Win
Monitoring one pump with a vibration sensor and catching a failure two weeks early is straightforward. Doing the same thing across hundreds of assets in multiple plants, with different machine types, different maintenance histories, and different…
Predictive Maintenance ROI: The Executive Guide
Predictive maintenance (PdM) delivers measurable returns, but building a credible ROI case requires more than vendor estimates. IIoT World created this executive guide to help plant leaders, operations directors, and CFOs quantify the financial impact of…
The Signal vs. Noise Ratio: Solving Alert Fatigue in the Modern Factory
In 2026, the primary barrier to manufacturing efficiency is the abundance of data. Modern plants now monitor tens of thousands of assets and hundreds of thousands of individual points. However, this connectivity has created a new…
Why Smart Vibration Sensors Still Use Wires
Piezoelectric vibration sensors have been the factory standard for more than 50 years. According to Dr. Antoine Filipe, CTO of Tronics Microsystems, a TDK Group Company, MEMS-based digital sensors are now following the same replacement curve…
Beyond the Alert: The Best Industrial AI Use Cases for Predictive Maintenance
The industrial manufacturing sector is operating in an era of persistent volatility. To maintain global competitiveness,organizations are increasingly turning to the Artificial Intelligence of Things (AIoT). According to recent research from IDC: "71% use AIoT for predictive maintenance. Predictive…
Why Most Manufacturers Never Feel “Ready” for a Digital Twin
Most industrial leaders delay Digital Twin implementation because they believe their data is too "noisy" or incomplete. However, building a digital twin for sustainable resource management relies on useful data, not perfect data. By integrating existing WAGES (Water, Air,…
Fortifying the Factory Floor: New Tech and Asset Monitoring for Unshakable Resilience
In today’s interconnected global market, disruptions are a constant in business. Policy shifts and new trade landscapes have compressed margins and clouded market access for manufacturers worldwide. To thrive, leaders must do more with existing resources…
Beyond Predictive Maintenance: How to Protect Your Margins in an Era of Disruption
Industrial manufacturing has entered a period of constant volatility. Today, risks like trade wars, tariffs, and geopolitical instability are everyday realities that disrupt supply chains and inflate production costs. In this high-stakes environment, traditional lean operating…
The Investment Filter: How AI Exposes the True Cost of Your Operational Data
For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new,…