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Image Source: iStock | From RAG to Reality: How Enterprises Are Making LLMs Actually Useful The demo almost always works. You show the model a few documents, ask it a question, and it pulls the right context and produces a coherent, accurate answer. The team is impressed. The business case writes itself. Budget gets approved. Then it hits production. The model confidently answers questions using documents that were updated six months ago. It misses context from a document it

Image Source: iStock | Edge AI vs Cloud AI: How to Decide Where Inference Actually Belongs The wrong question is which one is better. Edge AI and Cloud AI are not products you evaluate against each other on a benchmark sheet. They are architectural positions that carry different operational realities, different cost structures, and different performance ceilings. Choosing between them without understanding those differences is how enterprises end up with AI systems that work

Image Source: PixaBay | Claude vs ChatGPT vs Ollama: How Enterprises Are Actually Choosing Their AI Stack The question used to be whether to use AI at all. That conversation is largely over. The question now is which model, which deployment approach, and on what infrastructure. And unlike the early days of enterprise software adoption, where the dominant vendors were obvious and the evaluation criteria were well understood, the AI landscape in 2026 presents technology leaders

Image Source: iStock | AI at the Edge: Why Running Inference Locally Is the Next Frontier for Enterprise AI There is a version of enterprise AI that most organisations are still building. Models trained in the cloud, inference requests routed to centralised servers, results sent back to wherever the decision needs to happen. It works. Until it does not. The moment your AI system needs to make a decision in under 50 milliseconds, the round-trip to a cloud server becomes the bo

Image Source: iStock | What 1,700 CDN PoPs Actually Means for a Business Competing Globally Most technology conversations about CDN start and end with speed. Faster load times, lower latency, better user experience. All of that is true. None of it tells the full story. When Dygital9 says 1,700 CDN Points of Presence worldwide, that number is not a marketing figure. It is an infrastructure reality that changes what a business can do, where it can operate, how reliably it can s