Scotty Allen
Chief Operating OfficerJosh.aiScotty Allen is an experienced technology executive, entrepreneur, and strategic leader with nearly a decade at Josh.ai, where he has helped shape the company’s growth, technology, and customer experience. As Chief Operating Officer, Scotty leads operations and growth while advancing Josh.ai’s vision for a more intelligent, intuitive approach to home control and voice technology.
Prior to Josh.ai, Scotty spent eight years at Oracle, leading global product teams focused on cloud solutions for unstructured data. He holds an MBA and a BS in Electrical Engineering from the University of Denver.
Edge AI Cameras with Privacy
Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concer
…Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concerns about where video data is processed, stored, and accessed. Edge AI is changing that equation by k
…Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concerns about where video data is processed, stored, and accessed. Edge AI is changing that equation by keeping analysis local, enabling faster response times and more intelligent automation without defaulting to the cloud. For integrators, this opens up new possibilities around occupancy awareness, peri
…Cameras have quietly become one of the most powerful—and most scrutinized—devices in the connected home. As AI-driven detection improves, so do concerns about where video data is processed, stored, and accessed. Edge AI is changing that equation by keeping analysis local, enabling faster response times and more intelligent automation without defaulting to the cloud. For integrators, this opens up new possibilities around occupancy awareness, perimeter detection, and system-wide triggers—but also raises important design decisions around network architecture, data handling, and client trust.
This training will cut through the noise to focus on current capabilities, where edge processing delivers measurable advantages, and where cloud-based systems still play a role. Drawing on perspectives from both the control layer and camera manufacturers, the discussion will center on real-world deployments, design tradeoffs, and how these systems perform in the field.
CEDIA CEU Credit - 1
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