In the silent, humming halls of the modern data center, the unseen engine of our digital world, a quiet revolution is ...

"Radiation-hardened hardware, cooling in the vacuum of space, and the extremely high cost of launching large, power-dense ...

Here’s a look back at the top Nvidia storeis of 2025. Nvidia CEO Jensen Huang popularized the concept of the AI factory — or ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

In today’s data-driven economy, agility and intelligence are no longer optional—they are the foundation of competitive advantage. Organizations now manage vast ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.