Edge AI and the Role of the Database

Edge AI is a technical architecture that leverages artificial intelligence to process data and models locally, reducing latency and increasing availability by bringing computing resources and data storage closer to the application, making it ideal for applications requiring real-time results such as smart homes, security systems, wearable devices, and autonomous vehicles. This approach eliminates dependencies on an inherently unreliable internet, providing superior speed and reliability compared to cloud AI. Edge AI also offers benefits like decreased latency, increased availability, superior data privacy, efficient bandwidth usage, and real-time AI. However, it poses challenges such as data storage and processing, data synchronization, and model size, requiring organizations to look for database solutions that offer server and embedded versions of the database with vector search capabilities and the ability to call AI models directly.