The hidden costs of scaling AI agents without coordination

Engineering organizations tasked with scaling AI agents are discovering that the speed they initially achieved is being lost to endless rework. Without proper coordination, ten developers each running several agents against the same codebase becomes an alignment problem that compounds daily. This is a different challenge than individual productivity, and it’s where agent orchestration comes…

Why AI is forcing a rethink of data center cooling

For years, cooling has played a supporting role in data center design. Decisions have been driven primarily by compute, storage and networking requirements, while cooling systems quietly ensured everything stayed within safe operating limits. Most enterprise environments operated well within the capabilities of traditional air-cooling that was designed to sustain normal growth. This let organizations…

Algorithms aren’t enough: Why factories need an AI reasoning layer

The scheduling fallacy and the shift to autonomy Walk onto almost any manufacturing shop floor, and you will witness the same systemic vulnerability: a brilliantly engineered, multi-million-dollar Advanced Planning and Scheduling (APS) system rendered completely useless by a single delayed delivery truck, an unexpected machine drift or a sudden workforce shortage. Industrial operations do not…

How AI takes flight at GE Aerospace

The race to adopt AI has left many CIOs wrestling with a fundamental question: How do you move faster without introducing unacceptable risk? Few leaders face that challenge at a higher level than David Burns, CIO of GE Aerospace. Building on the company’s decade of experience applying AI across its business, Burns is helping lead…