Abstract: A method and system for controlling elevator dispatch is provided. User data, including user behavior, is collected from a number of users over a specified time period. Elevator use data for a number of elevators in a building is also collected over the specified time period. Applying the user data and elevator use data, an elevator dispatch model is constructed that predicts future elevator use according to predicted user needs. An elevator control system dispatches the elevators according to the dispatch model. The elevator dispatch model is refined according to feedback data collected from users over a subsequent time period.

Abstract: A method, computer program product, and a system include a processor(s) monitors activities of a user utilizing a navigational application to provide route guidance to a geographic destination. With permission of the user, the processor(s) monitors authorized data sources to obtain data relevant to the user and generate and train a predictive model to determine a probability that the user will experience a wellness issue based on experiencing environmental factors. The processor(s) obtains a request to receive route guidance to the desired destination, via the navigational application and generates a recommended route to the desired destination, based on applying the predictive model to environmental data obtained from a portion of the authorized data sources. The recommended route avoids one or more locations en route to the desired destination where there is a given environmental issue that the predictive model indicates will present a wellness issue for the user.

Abstract: A method, computer program product, and a system include a processor(s) monitors activities of a user utilizing a navigational application to provide route guidance to a geographic destination. With permission of the user, the processor(s) monitors authorized data sources to obtain data relevant to the user and generate and train a predictive model to determine a probability that the user will experience a wellness issue based on experiencing environmental factors. The processor(s) obtains a request to receive route guidance to the desired destination, via the navigational application and generates a recommended route to the desired destination, based on applying the predictive model to environmental data obtained from a portion of the authorized data sources. The recommended route avoids one or more locations en route to the desired destination where there is a given environmental issue that the predictive model indicates will present a wellness issue for the user.

Abstract: A method and system for controlling elevator dispatch is provided. User data, including user behavior, is collected from a number of users over a specified time period. Elevator use data for a number of elevators in a building is also collected over the specified time period. Applying the user data and elevator use data, an elevator dispatch model is constructed that predicts future elevator use according to predicted user needs. An elevator control system dispatches the elevators according to the dispatch model. The elevator dispatch model is refined according to feedback data collected from users over a subsequent time period.

Abstract: A method, and associated computer system and computer program product, for cognition enabled driving pattern detection that includes receiving driving related data, storing the driving related data in one or more data repositories, receiving real-time driving data from at least one sensor related to an active driving situation, analyzing the driving related data and the real-time driving data, detecting a predictive driving outcome prior to the occurrence of the predictive driving outcome based on the analyzing, and notifying a driver based on the predictive driving outcome.