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AI summarisation of incidents
Overview of AI Summarization of Incidents AI summarization of incident content has matured fast. First, it promises to reduce time to insight and to accelerate decision making. Next, teams can quickly understand what matters. For control rooms and SOC teams, speed and clarity matter for incident response in Slack and for human responders. An important […]
AI contextualization of video alarms to reduce false alarms
Foundations: AI-powered Video Surveillance and Video Monitoring AI transforms how modern security works. It replaces crude motion triggers with systems that understand what a scene shows. Traditional motion detection often fires because a tree moves, a shadow shifts, or an animal crosses a frame. Those triggers overwhelm operators. They produce a high number of false […]
AI prioritization of alarms reduces false alarms
AI prioritization of alarms reduces false alarms ai systems: reduce false alarms and false positives Traditional alarm system deployments leave operators under pressure. Traditional security alarms often produce up to 90% false positives, creating a high volume of alerts that operators must evaluate. As a result, monitoring teams struggle to interpret events, and many of […]
Reducing alarm fatigue with AI alert triage
The deluge of alerts: a clinical perspective on alert fatigue The deluge of alarms in intensive care units creates real strain on clinicians. Clinicians face a high volume of alarms. For instance, studies report around 820 alarms per patient per day. Also, many of those alarms do not require intervention. As a result, teams encounter […]
Reducing operator fatigue with AI fatigue detection
Understanding Operator Fatigue: Risks to Safety System Performance Operator fatigue is a reduced capacity to perform tasks that require attention, decision-making, and timely reactions. It occurs when tiredness and fatigue accumulate after long shifts, disrupted sleep, or repetitive work. As a result, cognitive fatigue and slower responses appear. Therefore safety can suffer. For example, studies […]
AI-driven situational awareness for real-time insights
ai-powered framework for real-time data and real-time analysis AI combines sensor fusion, machine learning, and edge compute to create a single system that provides continuous situational awareness. First, cameras and other sensors act as raw input. Then, on-device preprocessing reduces bandwidth and latency. Next, a framework assembles video feeds, radar, and IoT telemetry into unified […]
