Manish Kumar explains how oil gas digital transformation, data governance, and automated workflows build the core foundation ...

John Clemons is a Solution Consultant for Rockwell Automation. He's been working in the field of Manufacturing Technology for over 30 years. Artificial intelligence (AI) is changing the way we live ...

Forbes contributors publish independent expert analyses and insights. I write about tech that impacts my small business - and yours. There are many good articles like this one and this one about how ...

Production delays and quality errors are a universal challenge in manufacturing. In Aerospace and defense (A&D), however, the stakes are especially high. An equipment failure or out-of-tolerance ...

Artificial intelligence (AI) is ushering in a new era for plastics manufacturing, fundamentally transforming how work is performed on the factory floor. Chris Kuntz, vice president of Strategic ...

Three frameworks. Multiple AI use cases. One compliance challenge: How do medical device manufacturers align the EU AI Act, MDR, and ISO/IEC 42001 when each evaluates AI through a different lens?

Manufacturers can deploy AI systems to continuously monitor IT/OT environments, automatically detect anomalies and respond to cyber threats faster than humanly possible. AI streamlines regulatory ...

Enabling direct system coordination without centralized bottlenecks allows robots, conveyor systems and equipment to interpret data, make decisions and adapt together as an integrated manufacturing ...

As artificial intelligence continues to reshape manufacturing and product design, its potential for accelerating innovation and improving user experiences is undeniable. Generative AI, in particular, ...

AI is enabling rapid design automation, with generative platforms producing CAD code from simple prompts, reducing design time significantly. Neural surrogates are dramatically reducing simulation ...

AI fundamentally shifts the lean manufacturing paradigm by transforming lean systems from reactive to proactive. For example, machine learning algorithms can process vast datasets.