Leveraging Augmented Reality (AR) and Virtual Reality (VR) for Remote Maintenance in Industrial IoT
As industries increasingly adopt the Industrial Internet of Things (IIoT), the need for real-time, efficient, and cost-effective maintenance solutions has never been greater. One of the most promising technologies for improving maintenance processes is Augmented Reality…
Scaling Industrial Data Solutions: Cognite’s Approach to Unlocking Value at Scale
As industries worldwide accelerate their digital transformation, the challenge of scaling data solutions effectively remains a critical hurdle. Cognite, a leader in industrial data software, is tackling this challenge head-on, helping enterprises move beyond pilot projects…
From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies
Industrial maintenance…a headache? Yes. Thief of time? Absolutely. Reputation killer? It has its moments! These are the results of relying on a reactive approach to industrial maintenance. Reacting when equipment failures occur repeatedly without warning leads…
HiveMQ Pulse: Transforming Industrial IoT with Distributed Data Intelligence
A New Era of IoT Data ManagementAs industrial enterprises accelerate their digital transformation, managing and leveraging real-time operational data remains a critical challenge. HiveMQ, a leader in enterprise MQTT solutions, has introduced HiveMQ Pulse, a next-generation distributed data intelligence platform designed to unify,…
Moving from Reactive to Predictive: How IoT-Enabled Maintenance Drives Efficiency and Cost Savings
Organizations across manufacturing, facility management, and rental equipment often face operational bottlenecks from unplanned downtime. By integrating real-time IoT sensors and data-driven insights, businesses can reduce maintenance costs and mitigate critical failures before they escalate. Case…
Predictive Maintenance Meets OEE: A Roadmap to Smarter Manufacturing
IntroductionIn today’s fast-paced manufacturing world, the days of making important decisions based only on guessing are over. Companies are streamlining operations by adopting data-driven strategies and real-time information to maintain an advantage in an increasingly competitive…
Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However,…
Predictive Maintenance: The Hidden ROI Driver Manufacturers Can’t Ignore
Every minute of downtime costs manufacturers thousands, sometimes millions, of dollars. Predictive maintenance, powered by real-time IIoT platforms, offers a proactive approach to avoid costly equipment failures and production halts.The Cost of Reactive MaintenanceTraditional maintenance approaches…
Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries…
Modernizing Data Historians for Smarter Industrial Operations
A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of…