Foghorn's Ramya Ravichandar | Ensuring Value with Edge AI in IIoT Applications
Ramya Ravichandar, VP of Products at Foghorn, explains how the company uses edge AI to deliver real-time value in industrial and commercial IoT deployments. She details Foghorn's evolution from edge analytics to machine learning, highlighting use cases like defect detection at Stanley Black & Decker and workplace safety monitoring. Ravichandar argues that 'proof of value' is critical for scaling IoT projects, as edge computing enables low-latency responses and reduces bandwidth constraints compared to cloud-only architectures. She also discusses the complementary relationship between cloud-based model training and edge-based inference, and Foghorn's new 'Lightning' solutions for rapid deployment.