AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
Vector databases explained through speed vs velocity: why AI needs vectors, not rows and columns, to manage context, ...
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
It is crystal ball gazing time, and who better to talk about what technology trends will emerge next year than a senior leader from Dell?
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Since the 2000s, Google Search—and later YouTube and Discover—served as the primary discovery and monetization engines for ...
Looking for a cheaper, faster Adobe Acrobat replacement? Explore alternatives including PDNob, LibreOffice, and Inkscape.
Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete ...
Cybersecurity in 2026 rewards teams that look past the obvious. Attackers no longer depend on brute force; they depend on ...