For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

AI data center security cannot be an afterthought.

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Enabling simultaneous AC and 800 VDC delivery through software defined multi port power orchestration for next generation AI ...

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to ...

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Some of you may have tuned into the Shared Insights Webinar on "Marching Toward SOA: Does EA Lead the Band?" I can't find the archive of it, by the way. However, there is a good summary article here, ...