As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...
Becoming truly data-driven requires more than adopting new tools-it demands clear alignment between business goals and data architecture. At Data Summit 2026, John O'Brien, principal advisor and ...
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.
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 ...
For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...
Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and ...
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 ...
I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...
Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...
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