Edge AI is a term that refers to the deployment of artificial intelligence (AI) models closer to users and devices, either on-premises or on edge computing platforms. This approach reduces latency, improves performance, and enhances privacy and security, making it an attractive option for many industries. According to Gartner and IDC, Edge AI adoption is gaining traction, with more than 55% of all data analysis by deep neural networks occurring at the point of capture in an edge system by 2025, and more than 70% of organizations running varying levels of data processing at the IoT edge by 2023. Edge AI offers improved efficiency, faster decision-making, and improved operational efficiency, making it a great choice for applications such as autonomous vehicles, manufacturing processes, and healthcare monitoring.
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