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

In recent years, distributed computing has wit-nessed widespread applications across numerous organizations. Predicting workload and computing resource data can facilitate proactive service operation ...

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 ...

Serverless computing has shown vast potential for big data analytics applications, especially involving machine learning algorithms. Nevertheless, little consideration has been given in the literature ...