Machine Learning (AI/ML)
The aviation industry is facing the next technological revolution driven by AI/ML. AIRHART’s modern and flexible platform provides the technical foundation and agility needed to reap the benefits of smart airport operations driven by data – powered by AI/ML. The successful use of AI/ML technology requires certain steps to covered:
- Identify a business need with optimization potential based on experience and airport domain knowledge
- High quantity data is needed to train the AI model. Since AIRHART holds and maintains most airport data - high quality and all relevant contextual data sources are covered - this is unique to AIRHART compared to other AI/ML implementation projects
- AIRHART supports development and training of AI/ML models. During the training of the AI model, previously unseen patterns or business relations are detected – providing invaluable insights.
- The model is used repeatedly as part of the decision-making process, either to make an automated decision, or to offer guidance to human decision making
Key Functionality
- Get intelligent recommendations – e.g. recommendation of mitigating actions when alerts are raised or predicted
- Use dynamic values based on real-time contextual information
- Simulate operational scenarios to validate and improve business logic
Benefits
- Improve efficiency with smarter short- and long term planning based on forecasting
- Remove redundant workload from staff so they can focus on what matters
- Generate new revenues streams
- Improve passenger experience with less waiting and more accurate information display
- Improve turnaround time based on real-time analysis of ground handling sub-events