Why ‘Send Everything to Cloud’ Fails in Video Analytics — A Bandwidth and Latency Breakdown
Introduction: The Most Expensive Mistake in Video AI When teams start building video analytics systems, the default instinct is simple: “Let’s send all video feeds to the cloud and process everything there.” It feels logical. Cloud is scalable.Cloud has GPUs.Cloud simplifies architecture. But here’s the reality most teams face within […]
Why Storing More Video Doesn’t Improve Insights: Rethinking Data Retention in AI Systems
At some point in almost every deployment, this conversation happens. Someone asks:“Should we increase retention to 60 days?” Someone else adds:“Storage is cheap anyway… let’s just keep everything.” Nobody really pushes back. Because it feels like a safe decision. And honestly, early on, it is. But give it a few […]
Zero CAPEX vs Zero Latency: Choosing Between Cloud Hosted and Edge AI
The cloud vs edge decision usually doesn’t start as a technical discussion. It starts with two very different pressures. Someone from finance says:“Let’s not invest in hardware yet.” Someone from operations says:“We need this to work instantly.” And both are right. That’s what makes this tricky. Because what looks like […]