Students from the The Hague University have assisted RB in strengthening its Machine Learning models. They specifically focused on the question how patterns in the large dataset about duties, crew and communication could be explored in an anonymous way, without needing access to sensitive information.
Machine learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. RosterBuster is now building on this technology to process airline rosters faster and more accurately.
When we introduced RosterBot in October last year, we were not sure if the chatbot would find it’s way to our users. With over 1000 friends and family and hundreds of airline crew connected, that are regularly querying RosterBot, we can now proudly say that it has.