Abstract: In some embodiments, reducing network traffic related to network operations may be facilitated. In some embodiments, information for an operation comprising a message to authenticate the operation may be received from a client device. A machine learning model trained on information regarding a plurality of historical operation and corresponding execution result may be obtained, where the plurality of historical operations were executed on a client device of a same type as the client device. Using the machine learning model, the information for the operation may be processed to predict an execution result for authenticating the operation. The execution result may be transmitted to the client device to prevent execution of the operation in response to the execution result indicating that authenticating the operation will be unsuccessful.

Abstract: Methods and systems for parallelizing processes through the use of predicted data are described herein. A requesting system may send processing requests to a processing system. The processing system may need to have a third-party validation system validate the processing requests before proceeding. The processing system may detect errors and generate modified data that is predicted to resolve the errors in obtained processing requests. The modified data may be sent to the validation system in place of the original data that contained errors. While waiting for validation results from the validation system, the modified data may also be sent to the requesting system to confirm that it is correct. By sending the modified data to both the validation system and the requesting system for approval, increased efficiency and parallelization may be achieved.

Abstract: Methods and systems for parallelizing processes through the use of predicted data are described herein. A requesting system may send processing requests to a processing system. The processing system may need to have a third-party validation system validate the processing requests before proceeding. The processing system may detect errors and generate modified data that is predicted to resolve the errors in obtained processing requests. The modified data may be sent to the validation system in place of the original data that contained errors. While waiting for validation results from the validation system, the modified data may also be sent to the requesting system to confirm that it is correct. By sending the modified data to both the validation system and the requesting system for approval, increased efficiency and parallelization may be achieved.

Abstract: A system, process, and computer-readable medium for processing received files across different cloud-based platforms is disclosed. A process may include selecting a first cloud-based processing system of multiple cloud-based processing systems, serializing the file, and sending the file to the selected cloud-based processing system. If the selected cloud-based processing system does not complete processing of the first file within a time threshold, the process may select a second cloud-based processing system and send the first file to that selected second cloud-based processing system. The method may further comprise a library of cloud-specific software migration operations. General functions to be run on cloud-based processing systems may be translated into platform-specific functions to be run in a specific cloud-based processing system.