Industrial organizations are no strangers to transformation. While technology has long been a catalyst for progress, the accelerating speed and complexity of change means that tools alone can no longer deliver a lasting competitive advantage. The…
For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?…
Quality control in industrial fabrication is undergoing a fundamental shift, from reactive inspection to predictive, data-driven assurance powered by IIoT sensor networks and advanced analytics. In this guide, IIoT World examines how manufacturers are deploying connected…
Servitization, the shift from selling equipment to delivering ongoing outcomes, is redefining manufacturing competition. Service contracts can deliver margins of 25% or more, compared to roughly 10% on new equipment sales. According to McKinsey, OEMs with…
At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results.…
Connected devices and sensors support automated energy management and delivery, seamless integrations and predictive maintenance. It’s no secret that much of the US electric grid urgently needs an upgrade. The 1960s and 70s saw the construction…
How Industrial AI Is Transforming Operations, Workforce, and Decision-Making at Scale Cognite’s Impact 2025 made one thing clear: the era of reactive operations is over. Across both days, the narrative centered on proactive intelligence, powered by…
Artificial intelligence and digital connectivity are transforming how machine tools operate — from the way parts are designed and programmed to how data flows across production. The combination of AI-driven automation and a digital thread enables…
The Asset Administrative Shell (AAS) is a structured digital envelope around a factory asset that defines its signals, units, data lineage, and access rules. According to the AI Frontiers 2025 panel on smart manufacturing data, AAS…
The business owner of an AI pilot in manufacturing should be the line-of-business leader with Profit and Loss accountability over the KPI the pilot targets. The executive sponsor should be the VP or Director of Operations.…
Industrial Autonomy (IA2IA) is Yokogawa's framework for moving plants beyond predefined automation rules. Nick Clark, a Yokogawa representative, describes IA2IA as applying AI, robotics, and advanced integration so industrial systems identify issues, make adjustments, and keep…
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…