The rise of instrumented devices has created a massive surge in data generation. Traditionally, this data would be sent to cloud servers for analysis, but this approach faces challenges like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a methodology that brings AI capabilities directly to the device. This means unders… Read More

The landscape of artificial intelligence evolves at an remarkable pace, and edge computing has emerged as a essential component in this transformation. By integrating AI models directly on devices at the network's edge, organizations can achieve significant advantages. Edge AI solutions facilitate near real-time data processing, reducing latency an… Read More