Data center designs have evolved to accommodate the dramatically higher (and still rising) densities associated with AI ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

The 10 coolest open-source software tools in 2025 (so far) include software for developing AI agentic applications, querying ...

Agentic AI is transforming compute architecture with new demands on data flow, hardware, and AI retail systems for faster ...

Conventional cloud computing, where compute, storage, and networking resources reside in one or a few centralized data centers, has become unable to meet the stringent latency requirements of new ...

Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...

In the new age of data centers, DCIM (Data Center Infrastructure Management) systems must evolve to offer a proactive, ...

The large-scale, dynamic, and heterogeneous nature of cloud computing poses numerous security challenges. But the cloud's main challenge is to provide a robust authorization mechanism that ...

The rapidly evolving regulatory landscape requires rigorous data management and the right infrastructure deployed in all the right places.