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Latest in Industrial IoT & Sensors
Crytica Security partners with Carahsoft to expand device-level OT threat detection across US public sector
Industrial Cyber Crytica Security partners with Carahsoft to expand device-level OT threat detection across US public sector Crytica Security, developer of Rapid Detection, Alert and isolation (RDAi) solution, and Carahsoft Technology Corp. announced a distribution partnership that moves OT threat…
OfficeNet launches New Smart Factory Solutions for Large-Scale Manufacturers
The Officenet Smart Factory platform also covers the employee lifecycle from joining to exit, with centralised records, reporting and AI-powered analytics, along with biometric attendance, mobile absence tracking, multiple pay master’s and statutory compliance. This enables HR and business teams…
From connected data to virtual factories: How AI delivers value in automotive manufacturing
SEO teaser: At Automotive Manufacturing North America 2026, experts from Autoliv, BorgWarner, Kistler and the automotive manufacturing sector discussed where AI and digital twins already improve production, why scaling remains difficult and how to balance automation with human expertise. Ford, GM,…
How can AI predict when a mining machine will fail?
A giant mining truck, excavator or rock crusher suddenly breaking down can bring part of a mine to a halt. Engineers have traditionally relied on scheduled servicing and inspections to reduce that risk. Today, machines themselves can provide clues that…
Intelligent Motor Management Targets Energy Waste and Downtime in Industrial Facilities
Voice of the Commercial & Industrial Energy User Schneider Electric has introduced TeSys Tera, an intelligent motor management system designed to add digital monitoring and predictive maintenance capabilities to existing motor control systems. The technology is intended for industrial applications involving…
The key challenges to scaling up industrial predictive maintenance
I am a civil engineer and I work in the writing area. I have a deep passion for civil works. I constantly seek to update myself on new engineering technologies to integrate them into my work, since my main interest…
Schneider Electric mitigates motor downtime in aging facilities
Hydrocarbon Processing Schneider Electric mitigates motor downtime in aging facilities - Schneider Electric’s new TeSys Tera intelligent motor management system, available at RS, combines real-time data and advanced diagnostics to cut energy costs, reduce the impact of skilled labor shortages, and…
What is Mining Predictive Maintenance and how does it cut equipment costs?
Predictive maintenance uses real-time data and machine learning to identify faults before they cause a breakdown. So, instead of waiting for the equipment to fail or the calendar schedule for servicing to arrive, you depend on real-time warnings and take…
Predictive Maintenance: What Chemical Plant Operators Can Learn from Mining and Heavy Industry
November 3, 2026 | By Mike St. Germain, Watson-Marlow Artificial intelligence (AI) and machine learning (ML) are hot topics across manufacturing, but real-world adoption of predictive maintenance technology varies across the chemical process industries (CPI). Industries such as mining, pulp and paper, power generation,…
Industrial IoT & Sensors
Edge gateways, private 5G, telemetry, digital twins, and OT cybersecurity in plants.
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