The rise of connected devices has created a significant 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 paradigm that brings artificial intelligence capabilities directly to the endpoi… Read More

The landscape of artificial intelligence continues at an unprecedented 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 obtain significant gains. Edge AI solutions enable near real-time data processing, reducing latency and imp… Read More