Growing investments in smart asset management and automation are accelerating the adoption of AI-based predictive maintenance solutions.

AI Factory supports model training, simulation, digital twins, and other industrial AI applications.

A new AI-based computational “time machine” provides a more accurate assessment of trends in wind and solar power usage.

As data center operators increase rack densities and accelerate the adoption of direct liquid cooling, the requirements for cooling infrastructure are rapidly evolving.

In the previous issue, we explored the first wave of maintenance innovations transforming defense: AI-driven predictive and prescriptive tools, the rise of right-to-repair, and additive manufacturing at the frontline. These trends illustrated how autonomy, foresight, and resilience are being embedded directly into operational units. In this second part, we shift focus to the system-level enablers that connect, simulate, and optimize maintenance at scale — from digital twins and robotics to connected logistics, XR-based training, and performance-based logistics frameworks. Together, they extend tactical innovations into full-spectrum readiness.