Today, many enterprises are discovering that their existing data architectures simply weren't designed for the demands of AI ...

The next era of AI won’t be judged by how many prototypes are unveiled, but by how well intelligence adapts and endures ...

These organizations also have a clear understanding of their data estate and actively monitor how it evolves. They have moved ...

Modernizing data infrastructure is critical for organizations seeking greater agility, innovation and competitiveness in the digital economy. Across regions such as EMEA, the Middle East, Africa and ...

Businesses today rely heavily on data to make faster decisions, optimize operations, and unlock revenue streams. Yet most enterprises are drowning in fragmented data infrastructure, with engineering ...

Big tech's historic spending spree on AI infrastructure is creating opportunities across the entire technology stack.

Stop guessing and start optimizing. DCIM provides real-time visibility into power, cooling, space, and asset health to reduce costs, increase reliability, and future-proof your capacity planning. Data ...

As artificial intelligence and large-scale cloud workloads proliferate, the infrastructure underpinning them — the “super data centres” are fast becoming the factories of the digital age. These ...

Data is the cornerstone of enterprise AI success, yet enterprise AI initiatives often hit an unexpected infrastructure wall: getting clean, reliable data from the web. For the last two decades, web ...

Meta will invest $600 billion in US data centers, boosting AI growth and jobs but raising concerns over power and ...