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AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
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?
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It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...
Mosquito and tick-borne diseases may become rampant in the South Bay as the Santa Clara County Vector Control District faces ...
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 ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
The 30–Day “Idea to Production” Model Superteams.ai follows a 30-day deployment framework for NextNeural that aligns with enterprise governance requirements.
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...