Outage Watch

Outage watch encompasses the proactive prediction and mitigation of service disruptions across various systems, from online marketplaces to cellular networks and cloud services. Current research focuses on developing sophisticated predictive models, employing techniques like time series forecasting, Monte Carlo simulations, and increasingly, graph neural networks and machine learning algorithms to analyze diverse data sources (e.g., QoS metrics, social media sentiment, satellite imagery). Accurate outage prediction significantly improves service reliability, reduces downtime costs, and enhances user experience, impacting both the efficiency of critical infrastructure and the overall customer satisfaction in various industries.