Edge AI Cameras vs Cloud: Balancing Latency, Cost & Reach

As AI becomes deeply embedded in everyday business operations, the debate between edge AI cameras and cloud-based processing is no longer limited to IT teams — it’s a strategic choice for the entire leadership. This post explores how to balance latency, cost, compliance, and scalability in real-world scenarios, offering C-level executives a clear framework for navigating AI deployment. Discover why hybrid architectures are emerging as the dominant model and how ready-to-use APIs for image labeling, OCR, logo recognition, and anonymization can accelerate your roadmap while controlling costs.