AI on the Shop Floor: Turning Predictive Maintenance into Real Results
For manufacturers, predictive maintenance powered by IIoT and AI is no longer just about advanced analytics in the cloud. The real breakthrough comes when frontline workers can act on those insights in real time. At the…
Predictive Maintenance with AI: Extending the Life of Industrial Machines
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…
Rethinking Predictive Maintenance: Why the Hardest 10% of Industrial Assets Demand a New Class of Sensors
Most predictive maintenance sensors work well—until they don’t. When your pump is in an acid-laden environment, your mill bearings hit 120-150°C, or your crane gearbox runs at 4 RPM for half the shift, the majority of…
From Historical Data to Real-Time Action: Unlocking Industrial Intelligence
Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime.Modern industrial systems continuously generate time-stamped data from sensors, PLCs, SCADA…
A Guide to Manufacturing Data Analytics – Why Manufacturers Need a Modern Data Platform
In the age of digital transformation, data is more than a byproduct—it’s a powerful asset. But most manufacturers are sitting on untapped potential. This white paper from Critical Manufacturing explores how modern data platforms, combined with MES systems,…
What’s Changing in Industrial Data Management: Key Takeaways from Hannover Messe 2025
At Hannover Messe 2025, InfluxData CEO Evan Kaplan and HighByte CPO John Harrington discuss how manufacturers are shifting from data collection to data intelligence and what’s required to support that transformation. Below are the most important…
The Role of Predictive Maintenance in Achieving World-Class OEE with IIoT
OEE (overall equipment effectiveness) is a productivity and performance metric that helps find new inefficiencies and unlock the full potential of manufacturing. OEE helps manufacturers understand how well a machine, a manufacturing process, or a line…
Choosing the Right Communication Protocol for Industrial IoT
LoRaWAN, NB-IoT, or DigiMesh?Selecting the right communication protocol is critical for Industrial IoT (IIoT) deployments, where data size, transmission frequency, and environmental conditions impact performance. LoRaWAN, NB-IoT, and DigiMesh each excel in distinct areas, making the…
Scalable Real-Time Analytics with Shared Nothing Architecture & Multi-Model Databases
As organizations deal with fragmented data ecosystems, the demand for scalable, high-performance data management is increasing. Combining Shared Nothing Architecture with multi-model databases offers a robust solution for real-time analytics, machine learning, and IoT data processing.…
Optimizing Energy Efficiency in Manufacturing with Condition Monitoring
In today’s competitive manufacturing landscape, operational efficiency and sustainability are essential for long-term success. Industrial motors, which power manufacturing processes, account for nearly 60% of all electrical energy consumption. However, inefficiencies such as misalignment, wear, and improper operation lead…