Siemens expands its private 5G infrastructure to additional global markets, including planned entry into the US, with new radio units and edge-enabled routers supporting industrial connectivity.

A framework for evaluating Industrial AI readiness based on governance, domain specificity, and sovereignty requirements for mission-critical operations.

Field devices are evolving from commodity hardware into intelligent, software-driven assets that enable predictive maintenance, operational optimization, and service-based business models.

Inductive Automation’s CTO outlines the company’s approach to software-defined automation, cybersecurity, ecosystem development, and edge architectures during an executive interview at the ARC Industry Leadership Forum 2026.

Machine builders are navigating a structural shift as software, regulation, and service-based models reshape how machines are designed, delivered, and monetized.

Smart flowmeters are increasingly vulnerable to cybersecurity threats, making data integrity, network security, and device-level protection critical in modern industrial environments.

Rising cyber risks, regulatory pressure, and AI-driven complexity are pushing OT cybersecurity in Asia Pacific from awareness to a core pillar of operational resilience.

Zero Trust leader reports 81 percent revenue growth, driven by a global shift from perimeter-based tools to identity-driven protection for AI infrastructure and critical systems.

Phoenix Contact has expanded its industrial wireless portfolio with new Wi-Fi 6 access points and client modules designed to improve WLAN performance, real-time communication, and security for industrial automation applications.

A structured framework for Industrial AI adoption that defines where AI operates (Axis 1) and how it must be architected (Axis 2), emphasizing data sovereignty, domain-specific constraints, and the need for specialized model classes over generalized foundation models.