Charles R. Goulding and Preeti Sulibhavi explain how manufacturing fundamentals, AI-driven design, and a renewed focus on reliability and workflow integration are defining the industry’s next phase.

As advanced manufacturing becomes increasingly data-driven, aligning physical automation with an integrated digital backbone is critical to unlocking full operational value. Nagi Reddy Bommareddy, ...

Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.

Desktop Metal, a billion-dollar start-up, promised to revolutionize manufacturing. It went bankrupt, and now has much humbler ...

Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.

You buy a hybrid crossover for reliability and low running costs, then one hidden component fails and you are staring at a $6 ...

SHENZHEN, GUANGDONG, CHINA, February 6, 2026 /EINPresswire.com/ -- In a manufacturing landscape defined by automation, ...

Quality control requires immediate evidence. Using mobile devices, inspectors can capture high-resolution photos, scan barcodes, and record digital signatures the moment a defect is spotted. This ...

Henkel's digital lead on scaling across plants, data missteps, and balancing global standards with local flexibility. The post When standardisation creates trade-offs at Henkel appeared first on ...

SUSE, a global leader in enterprise open source solutions, today announced it has acquired Losant, an Industrial Internet of Things (IIoT) platform. This strategic move completes SUSE’s Edge vision by ...