AI in public safety is often discussed in the context of call-taking, transcription, or summarization, but its potential extends far beyond the initial 9-1-1 interaction. This session explores how emergency communications centers can use AI to support response across the full incident lifecycle by connecting information from multiple systems, including CAD, drone-as-first-responder (DFR) programs, camera networks, and situational awareness platforms.
Participants will examine how AI can help transform disconnected streams of data into actionable context for dispatchers and field responders. By surfacing relevant information from integrated systems in real time, AI-enabled workflows can support faster decision-making, improve situational awareness, and reduce the cognitive burden on telecommunicators during complex incidents.
Rather than focusing on a specific product or vendor solution, this session provides a practical framework for understanding where AI can add value within the emergency communications ecosystem and how agencies can approach integration strategies that improve operational effectiveness.