Author: Paul Viorel

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 studies show significant financial

Industrial operations are at a pivotal moment, where sustainability, autonomy, and efficiency are no longer optional but essential. Schneider Electric leads this transformation through software-defined automation, AI-driven solutions, and open systems. Andre Babineau explains how these technologies reshape manufacturing, making operations more flexible,

Cybersecurity remains one of the most pressing challenges in industrial operations, but the biggest risk isn’t just external threats—it’s how companies manage and control access to critical infrastructure. James Redmond, Global Offer Manager for SCADA & Telemetry at Schneider Electric,

Industrial digitalization is evolving rapidly, but the biggest challenge isn’t cybersecurity—it’s the speed of adoption. Doug Warren, Senior Vice President of AVEVA’s Monitoring & Control Business, explains why the hesitation to embrace new technology is the most significant risk industrial

Artificial Intelligence (AI) is making its way into the world of process safety, revolutionizing how industries approach hazard analysis, risk mitigation, and operational efficiency. Chris Stogner, Senior Director of Offer Management at Schneider Electric, shares insights on how AI reshapes safety lifecycle management and why

Explore key Industrial IoT (IIoT) and ICS Cybersecurity events in March 2025. From high-level conferences to specialized summits, these events cover a range of topics, from energy innovation and digital transformation to AI, cybersecurity, and smart manufacturing. Whether you're focused

Since the Industrial Revolution, the manufacturing sector has generated vast amounts of data—too much for humans to process manually. So, industries like automotive, electronics, textiles, and pharmaceuticals are now leveraging artificial intelligence (AI) and machine learning (ML) to transform raw

Manufacturers generate vast amounts of data, yet without the proper structure, much of this valuable resource remains untapped. Data-Driven Manufacturing: From Challenges to Scalable Solutions is a comprehensive resource designed for industry professionals seeking practical, real-world strategies to manage and scale their

Energy storage technologies are at the heart of the renewable energy revolution, providing critical flexibility, stability, and efficiency to power systems. However, as the adoption of energy storage systems (ESS) accelerates, the lack of standardization in interoperability has emerged as