The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...

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 ...

Teradata reports that 88% of AI pilots fail to reach production due to fragmented data architectures, highlighting the need ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...

A step-by-step road map for building the enterprise architecture required to deploy AI safely, quickly, and at scale.

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 ...

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 ...

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