{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Travel Tech Podcast","title":"The Real Reason One Broken Machine Disrupts an Entire Airport","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bd8eeeaa\"></iframe>","width":"100%","height":180,"duration":2072,"description":"Queues move, bags get scanned, and passengers eventually make it through. But beneath that surface is a fragile operational layer held together by fragmented systems, manual workarounds, and frontline teams stitching together processes in real time.Anne Marie Pellerin has seen both sides of that system—designing queue segmentation at TSA that improved throughput, and later discovering that when security systems fail, the response is often disconnected, slow, and opaque.This conversation goes beyond passenger experience into something more fundamental: how airports actually recover when critical systems break—and why solving that requires rethinking how data, workflows, and people are connected on the ground.What You’ll LearnSegmenting passengers reduces stress and improves throughput: Separating travelers by experience level can increase efficiency by lowering stress-induced errors at checkpointsAirport operations still rely on fragmented workflows: Many frontline teams use disconnected systems, emails, and even pen-and-paper to manage critical equipmentDowntime creates cascading operational risk: A single equipment failure can lead to long queues, baggage disruptions, or even flight delaysThe real problem is coordination, not detection: Technology for identifying threats has advanced rapidly, but operational orchestration has lagged behindOrchestration layers unlock system-wide visibility: Connecting frontline staff, maintenance teams, and vendors creates shared context and faster resolutionFrontline workers are the missing link in system design: Most tools are not built for the people actually operating equipment day-to-dayAI depends on unified data, not just models: Without a consolidated dataset across systems, predictive analytics and automation remain limitedAutomated escalation can replace manual processes: AI-driven workflows can route issues directly to the right technician with full context, even via voice callsGovernment and regulated sales cycles...","thumbnail_url":"https://img.transistorcdn.com/LxpvuNpWwfSGFL1KA1WhoZf9L55ykAqb5rgjXNFqi3c/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mY2Yz/ZjA5OGE1ZmEyMTk4/ODJkYmU1YjhlYjRk/YTMzNC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}