Morse Micro CEO Says Connectivity Limits Edge AI Potential
Michael De Nil argues that traditional wireless architectures hinder Edge AI in infrastructure by failing to provide necessary reliability and range for outdoor endpoints.
Morse Micro CEO and cofounder Michael De Nil argues that current connectivity limitations are preventing Edge AI from reaching its full potential within infrastructure. He asserts that traditional wireless architectures were designed for human-centric indoor spaces and lack the reliability and range required for intelligent endpoints such as smart meters, HVAC systems, and perimeter cameras located in garages or outdoor areas.
De Nil identifies a fundamental mismatch in current technology, noting that infrastructure requires stable, persistent communication and the ability to penetrate dense walls rather than high peak bandwidth. He suggests the industry must transition toward connectivity models including cellular IoT, IEEE 802.15.4-based networks, and Wi-Fi HaLow to enable distributed energy management and real-time operational visibility.
This shift is becoming increasingly necessary as regulatory requirements, such as the Greenhouse Gas Protocol, now demand measured electricity data instead of estimates. De Nil maintains that updating these connectivity models is essential for supporting the data demands of modern infrastructure regulations.
