Artificial intelligence is redefining how AV systems are designed, integrated, and optimized. This advanced session explores how AV environments are evolving into distributed neural networks that sense, reason, and adapt in real time.

Attendees will deconstruct the AI inference and automation pipelines that underpin modern UC and collaboration ecosystems. The discussion will map how edge-based processing, multimodal analytics, and contextual automation are transforming DSP architecture, network design, and control logic. Beyond architecture, the session highlights practical AI applications that improve efficiency and accuracy throughout the design lifecycle, including transcription-driven documentation, agentic AI diagnostics, and automated commissioning workflows that bridge AV, IT, and facilities teams.

By viewing the AV ecosystem through a neural lens in which every endpoint operates as a node of intelligence, participants will gain a framework for creating spaces that are adaptive, self-optimizing, and secure. The session combines deep technical analysis with applied strategies, offering a roadmap for designing the next generation of intelligent, AI-enhanced AV environments.