Abstract: A system and method are disclosed to provide recommendations based on sensor data. The system may include a dynamic customer profile data store that contains electronic records. Each record may be associated with a customer and include a customer identifier and a value for each of a set of customer traits derived from sensor data. A data envelopment analysis platform may access information about a first customer from the dynamic customer profile data store and utilize data envelopment analysis to calculate efficacy scores for the set of customer traits. A recommendation engine may then generate a customer recommendation for the first customer based on the values of each of the set of customer traits and the efficacy scores. Information about a customer action associated with the customer recommendation may be fed back to the data envelopment analysis platform.

Abstract: Disclosed is a flight deck system comprising a controller for displaying message content from an ATC conversation. The controller is configured to: receive extracted message content from a plurality of messages; and generate a ticker tape graphical element having a first panel and a second panel for display as an overlay over a primary display on an aircraft display device. The first panel has a main panel for displaying message content for a most recently received message and one or more subsidiary panels for displaying message content for up to a first predetermined number of the most recently received messages. The second panel has a bookmark main panel for displaying message content for a second predetermined number of the most recently received bookmarked messages and one or more bookmark subsidiary panels for displaying message content for a third predetermined number of the most recently received bookmarked messages.

Abstract: Methods and systems are provided for displaying transcriptions of radio communication transcription for an aircraft. The method comprises capturing audio signals of radio communication traffic to and from the aircraft. The captured audio signals are preprocessed to divide the signals into independent spoken utterances. Each spoken utterance is transcribed using a speech recognition decoder that utilizes an air traffic control (ATC) speech recognition model and classification data is extracted from the transcription of each spoken utterance. The transcription of each spoken utterance is logged with reference to the classification data and a textual display of the transcription is provided to a crew member of the aircraft.