Leveraging Big Data for Enhanced Weather Prediction and Flight Safety in the Aviation Industry

Weather-related flight delays can interrupt operations, dissatisfy passengers, and result in economic losses. This webinar explains how Big Data analytics may help manage the impact of poor weather on airline schedules. Weather-related flight delays have the potential to dramatically harm both passengers and airlines. Passengers may be stranded for hours or days while awaiting better weather conditions. This could be frustrating and inconvenient, especially for persons with specific arrival dates and times. Airlines may incur additional costs as a result of flight delays, including fuel, labor, and airport fees. Combining machine learning with big data can help improve model accuracy and predictability. To ensure an accurate prediction, we compare several methodologies. Airlines and stakeholders may improve decision-making, resource allocation, and operational resilience by combining real-time analytics, predictive modeling, and modern data processing.