Edge AI technology offers a transformative approach to automating business processes by enabling real-time video monitoring without the need for an internet connection, thus ensuring data privacy and low latency. As multiple technologies converge, the adoption of edge AI is poised to accelerate, driven by the maturation of dedicated AI platforms and the development of specialized hardware capable of efficiently handling compute-intensive tasks. AI development platforms simplify the creation and deployment of models by offering tools for data-centric development, autoML, and model compression, allowing even non-experts to harness AI's potential. The integration of AI computational hardware, such as specialized processors and edge data centers, enhances performance by reducing latency and data transfer needs, while advancements in wireless technologies like 5G expand the capacity for data-intensive applications. Cameras, smartphones, and drones serve as vital components for capturing unstructured data, with AI technologies converting this data into actionable intelligence, thus opening new possibilities for ensuring safety, regulatory compliance, and innovative business solutions.