Digital Twins in Industry: What they are and how they drive predictive maintenance 

Digital transformation in industry is advancing through technologies that bring the physical and virtual worlds closer together. In this context, digital twins have emerged as one of the most promising innovations, enabling industrial assets to be represented virtually in a dynamic and real-time manner.  More than just static simulations, digital twins use continuous operational data… Continue reading Digital Twins in Industry: What they are and how they drive predictive maintenance 

Industrial Internet of Things (IIoT): Definition and Impact on Industry

This article explains the Industrial Internet of Things (IIoT) and its role in predictive maintenance and asset reliability. It details how IIoT works — from sensors and gateways to cloud analytics — plus industrial applications, cybersecurity, ROI, and Dynamox’s ecosystem for data‑driven operations.

Complete guide to Predictive Maintenance in Industry 4.0

Predictive maintenance, as defined by the Brazilian standard ABNT NBR 5462, refers to a strategy that enables asset monitoring through systematic application of analysis techniques. It aims to minimize preventive interventions and reduce corrective actions by using centralized supervision or sampling methods. In essence, predictive maintenance is a data-driven approach that focuses on anticipating failures… Continue reading Complete guide to Predictive Maintenance in Industry 4.0