If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
In the rapidly evolving landscape of enterprise retail data architecture, where technical precision meets organizational transformation, the remarkable success of the Department and Class (DPC) ...
As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...
Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...
HPE’s Nilotpal Kumar Dutta explains how hybrid cloud, GreenLake, AIOps, and strategic acquisitions are enabling scalable, ...
In an era where financial institutions face mounting pressure to deliver sophisticated analytics platforms while managing massive datasets, the remarkable success of the Enterprise Data Intelligence ...
GTB's Platform Recognition Highlights Precision Detection and AI-Aligned Architecture for Enterprise Data Security.
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 ...
The future enterprise, enhanced by AI at every step, is within reach—now it’s time to see who is bold enough to leave behind ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
A new study reveals which professions are most concerned about AI’s impact on jobs — and why anxiety is rising across several ...
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