Abstract: A computer-implemented method, a computer system and a computer program product manage network throughput based on weather conditions. The method includes identifying a weather condition from a weather forecast. The weather condition includes a geographic area and a time period. The method also includes collecting historical data associated with the network. The historical data includes the network throughput during a past event. The method further includes determining that the weather condition will lower the network throughput below a threshold based on the network throughput during the past event. Lastly, the method includes dynamically creating software application containers on a server at a time prior to the time period of the weather condition. The software application containers are accessed by a user computing device within the geographic area.

Abstract: Provided is a system and methodology which enhances the readability of barcodes using machine learning techniques wherein a model is trained using exemplary data and the resulting model is used in production to increase the chances of successfully capturing the data in a barcode notwithstanding that the barcode may be of low quality. According to the teachings of the present invention, the system is trained using large quantities of synthetic personal information associated with barcodes. Once the system is placed into production, the trained model is applied as against newly identified barcodes to enhance the readability of the original barcode based on features associated with the trained model.

Abstract: A computer-implemented method, a computer system and a computer program product manage network throughput based on weather conditions. The method includes identifying a weather condition from a weather forecast. The weather condition includes a geographic area and a time period. The method also includes collecting historical data associated with the network. The historical data includes the network throughput during a past event. The method further includes determining that the weather condition will lower the network throughput below a threshold based on the network throughput during the past event. Lastly, the method includes dynamically creating software application containers on a server at a time prior to the time period of the weather condition. The software application containers are accessed by a user computing device within the geographic area.