If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...
A security analysis published on Github reveals serious deficiencies at Karvi Solutions. Tens of thousands of restaurant ...
Why is it so hard for manufacturers to bring AI to the factory floor? What will it take? It boils down to strategic ...
Joint solution combines security and low-latency networking to provide a secure AI data center blueprintSUNNYVALE, Calif., ...
Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...
The National Database and Registration Authority (NADRA) has introduced new regulations that overhaul its national identity ...
Ranjith Rajasekharan shares his vision for the future of Oracle Cloud DBAs, highlighting how AI-driven automation is ...
Data center architecture will change radically—from building design and cooling systems to urban planning—fundamentally ...
When teams can’t trust their data, they can’t use it as the foundation for an AI strategy, even when there’s pressure from the top. AI may be the flashy thing everyone wants to talk about, but the ...
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