As airports increasingly adopt AI, automation, video analytics, mobile applications, and real-time operational systems, reliable connectivity has become essential infrastructure. Ericsson, Insight ...

Let’s get another confession out of the way immediately: I am not a corporate CFO, nor am I an expert in high-frequency Wall Street financial engineering. For most of my life in manufacturing and ...

OpenAI’s recent model misalignment reports highlight a growing enterprise AI challenge: as agents move from generating recommendations to executing multi-step workflows, the issue becomes not only ...

AI failures in logistics are often blamed on the model, but many production problems are actually architectural. Even strong reasoning can fail when agents work with stale data, incomplete state, ...

AI is moving beyond an assistive role in logistics and into the control loop connecting events, context, decisions, execution, and learning. The shift is not simply about stronger models; it requires ...

The most important supply chain takeaway from Salesforce’s Dreamforce keynote was architectural: probabilistic AI increasingly needs to operate inside deterministic enterprise environments. While AI ...

May Mobility’s planned SPAC transaction values the autonomous vehicle company at approximately $1.4 billion, but the more significant logistics question is whether autonomy can scale without the ...

TLD Robotics combines autonomous software, vehicles, fleet supervision, and deployment services in a single organization ...

Logistics infrastructure is usually associated with warehouses, transportation networks, inventory systems, and software. But another form of infrastructure sits between those visible elements: the ...

As supply-chain variability increases, exception management is becoming a distinct unit of work that requires better context, orchestration, decision rights, and automation.