The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...

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

The more complex the decision and the more varied the stakeholders, the stronger the case for cognition-as-a-service.

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

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

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

This study investigates the vulnerability of dc microgrid systems to cyber threats, focusing on false data injection attacks (FDIAs) affecting sensor measurements. These attacks pose significant risks ...

Distributed training of deep neural networks (DNNs) suffers from efficiency declines in dynamic heterogeneous environments, due to the resource wastage brought by the straggler problem in data ...