AI will play a vital role for telcos in the future, but governance is essential

Listen to what the market is telling you and let what you see be your guide

Construction projects are notoriously complex and without proper oversight and coordination, risks can quickly become real issues – impacting both timeline and budgets

When labor is constrained, modularization is how you scale

Optical connectivity should be treated as a first-order design pillar alongside power and cooling. It must be tailored to the workload, the topology, the operational model, and the deployment cadence

The question is no longer whether the industry must move beyond air, but how quickly organizations transition from incremental cooling fixes to holistic thermal management by design

When flexibility is treated as a foundational design principle rather than an afterthought, it becomes a source of resilience

The case for micro-augmentation in an age of agentic AI

Architecting for real-time intelligence

The key ingredients for mitigating the escalated risks associated with liquid cooling

Adding liquid cooling to your existing data center can be complicated, but when done successfully, it effectively cools hotter workloads and keeps critical infrastructure running at peak uptime and efficiency

The choice is clear: converge and optimize, or remain siloed and inefficient

As AI data centers evolve, densities rise, and workloads intensify, the cooling strategy must evolve

And why the right investment is necessary to keep up with AI workloads

Raising the importance of an often overlooked element: design

The AI race will be won by being quick; there's no time to fall behind

The amount of data being produced is exploding, and storage needs greater attention

AI is transforming industries, but it’s also reshaping the energy equation

Flashing lights, AI in action, and a surprising goodbye

Industry leadership will be measured less by the size of a single facility than by the ability to articulate a cohesive strategy for the age of omnipresent and holistic compute

With demand accelerating and complexity growing, the challenges facing data centers are not going away

The irony is striking: You're running a data center with efficiency levels that seemed impossible just a decade back, yet you're still defending against outdated complaints

No longer can data centers stand alone as isolated infrastructure, but are coming of age as critical supports for modern life and economies

AI inference is rapidly evolving to meet enterprise needs – becoming tiered, distributed and optimized for RAG, agentic, and generative AI. Storage is at the core of this transformation