Real-time Edge AI: Reliability and Resiliency through Design Strategy

Edge AI is becoming a foundational technology in industrial systems, where real time decision making and reliability are critical. Edge AI operates within strict constraints on power, memory, latency, and safety while integrating into complex, long lived platforms.

Successful industrial Edge AI depends on system level design choices that consider challenges such as hardware heterogeneity, deterministic behavior, data availability, and maintainability. We will explore running Edge AI in production cells on assembly lines to reduce production faults, improve yield, and maintain high levels of quality control.

Embedded engineers, machine learning engineers, system architects, and technical leaders will gain a clearer framework for designing Edge AI robust, scalable solutions that are aligned with industrial requirements.

This session is part of our “AI at the Edge Day". Registration/event page here.