ARC’s MarketMap for Digital Worker Technologies for Manufacturing helps decision makers assess suppliers, understand market structure, and reduce risk when selecting solutions for industrial and infrastructure environments.
The Engineering Design Tools (EDT) and BIM market continues to evolve as organizations accelerate digital transformation across the architecture, engineering, and infrastructure sectors.
As retail returns approach $850 billion, faster disposition decisions and better value recovery are turning reverse logistics into a strategic supply-chain capability.
The AI boom is moving beyond a software and model competition as physical infrastructure, power availability, semiconductor supply, data-center capacity, and network design become critical constraints on AI growth.
As logistics becomes more automated and AI-driven, stronger cohesion across systems, processes, data, and decision structures becomes essential for coordinated operations.
Tesla’s Cybercab strategy highlights how autonomous mobility at scale will depend on logistics, fleet utilization, infrastructure, and AI-driven network orchestration.
The AI boom is moving beyond a software and model competition as physical infrastructure, power availability, semiconductor supply, data-center capacity, and network design become critical constraints on AI growth.
Supply-chain organizations should treat foundation models as replaceable components and design AI architectures that preserve portability, governance, and operational resilience.
Tesla’s Cybercab strategy highlights how autonomous mobility at scale will depend on logistics, fleet utilization, infrastructure, and AI-driven network orchestration.
Germanium illustrates how small volumes of critical materials can create major downstream supply-chain risks when sourcing is concentrated and substitutes are limited.
The AI boom is moving beyond a software and model competition as physical infrastructure, power availability, semiconductor supply, data-center capacity, and network design become critical constraints on AI growth.
As logistics becomes more automated and AI-driven, stronger cohesion across systems, processes, data, and decision structures becomes essential for coordinated operations.
Tesla’s Cybercab strategy highlights how autonomous mobility at scale will depend on logistics, fleet utilization, infrastructure, and AI-driven network orchestration.
FDI and Ethernet-APL can support Cyber Resilience Act compliance by enabling standardized device integration, secure communications, improved lifecycle management, and greater visibility into connected field devices.
The Wireless Broadband Alliance’s new technical blueprint outlines security practices for converged Private 5G and Wi-Fi networks, including Zero Trust, unified policy management, segmentation, and AI/ML-driven analytics.
Desktop AI agents operating in industrial environments require runtime containment, granular permissions, human authorization, and kill switches to reduce operational risk.
Hitachi launched HMAX Cyber, an operational resilience service that combines AI with IT and OT cybersecurity expertise to help enterprises identify risks, monitor threats, maintain business continuity, and recover from cyber incidents.
Siemens’ Vivek Roy explains how data integration, industrial edge, contextualization, and zero trust can help manufacturers build scalable and secure foundations for industrial AI.
Luciano is part of the ARC European team based in Germany. He covers several technology related topics such as autonomous operations, open digital ecosystem, and sustainability.