One key ingredient in improving aviation safety is openly exchanging safety information. Concepts Beyond is helping to engineer advancements in the FAA's Aviation Safety Information Analysis and Sharing (ASIAS) program's architecture to provide better data analytics and metrics, and improve performance. This includes the integration of new Artificial Intelligence (AI) technologies such as Machine Learning (ML), Natural Language Processing (NLP), and predictive analysis to further enhance decision-making processes and inform policy-making.
One key ingredient in improving aviation safety is openly exchanging safety information. Concepts Beyond is helping to engineer advancements in the FAA's Aviation Safety Information Analysis and Sharing (ASIAS) program's architecture to provide better data analytics and metrics, and improve performance. This includes the integration of new Artificial Intelligence technologies such as ML, NLP, and predictive analysis to further enhance decision-making processes and inform policy-making.
To mature these concepts and promote their adoption across the globe, Concepts Beyond has:
Identify occurrence categories, phase of flight, hazards and other relevant information from safety report narratives using NLP with Large Language Models (LLMs).
Classify transcripts of pilot-controller voice communication into various categories based on a taxonomy (Emergency and Safety, Clearances and Instructions, etc.) and extract named entities (Callsign, Altitude, Facility, etc.)
Mitigate helicopter accidents, enhance the overall fidelity of simulation models, improve pilot’s flight training, develop secure safety analyses through the helicopter flight data monitoring program, support risk mitigation efforts, and facilitate risk-based decision-making for helicopter operators.
Find how Concepts Beyond can make your dream a reality!
© [#this year :%Y], Concepts Beyond, LLC
