Location data, digitization, and sustainability initiatives will contribute to accuracy, predictability and carbon efficiency this year.

Manufacturers, distributors and retailers need to pivot to a smart just-in-telligent methodology, blending just-in-time and just-in-case with the science of artificial intelligence (AI) and automation.

The pandemic, as well as geopolitical challenges, have triggered a rise in digitization across industry sectors, and manufacturing and logistics are no exception.

Artificial intelligence has penetrated virtually every aspect of modern life, and last-mile delivery is no exception, says Bart De Muynck, chief industry officer with project 44.

Data storage managers should aim to extend the life of their data center hardware, move data to the cloud whenever possible, and delete data that is simply wasting space and money.

Advances in data science, artificial intelligence (AI), the internet of things (IoT), 5G networks and more are being used to turn challenges into opportunities.

What is a "smart" warehouse? And is it here already, or a vision of the future? Dan Gilmore, chief marketing officer of Softeon, has answers.

Intelligent prediction is more important than ever in enabling our vastly complex supply chains to operate in real time and deliver on customers’ needs.

Imagine an individual sitting on their living room couch and wearing VR goggles, not to play a video game but to carry out a day’s work of production.

The company said it plans to stay on course with its expansion, and that the technology is safe for the road.