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 ...

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

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

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

But AI won’t just fit into the current model; it will continue to reshape it. That’s the deeper shift underway. This is about ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Letta’s model-agnostic framework lets AI agents think while idle, combining memory refinement, precomputed responses, and ...

The generation of synthetic tabular data plays a critical role in applications such as data enhancement, privacy preservation, and model validation. However, the heterogeneity of tabular ...

Nvidia hit a $4T market cap, the first company to do so — and of course it’s all about AI Now that’s a big number. These ...