Author: Paul Viorel

In today’s interconnected industrial landscape, ensuring regulatory compliance and securing industrial control systems (ICS) is more critical than ever. As industries face increasing scrutiny and cyber threats, organizations must adopt robust security measures and align with evolving regulations to protect their operational technology (OT) environments. The Importance

The manufacturing industry is awash in data. From sensors on the factory floor to enterprise resource planning (ERP) systems, manufacturers generate vast amounts of information every day. However, extracting meaningful insights from this data deluge can be a daunting task.

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, IIoT creates enormous volumes

Industrial cybersecurity is a critical focus area for the manufacturing sector, where legacy systems and digital transformation collide. This session, featuring experts from Fortinet, Orange Business, Enfo CyberSec, and Honeywell, explores solutions to secure OT (Operational Technology) networks and protect critical infrastructure. Challenges in

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 Maintenance Traditional maintenance approaches often rely on either:

In an age of rapid technological progress and a growing shortage of skilled labor, businesses face the challenge of staying ahead without overextending their resources–especially cash. Enter Robots as a Service (RaaS): a subscription-based model that democratizes access to advanced

The world of AI is evolving rapidly, and if you're a machine learning engineer, you might already feel drawn towards generative AI. Generative models are more than just a trend—they represent a leap towards a more creative AI future. But

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 manage, monitor, and maintain

The manufacturing and distribution sectors are on the brink of transformation, driven by Industry 4.0, the Industrial Internet of Things (IIoT), and digital initiatives designed to increase connectivity, data-driven decision-making, and agility. However, many organizations still rely on outdated operational