Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e.

Abstract: A video translation system that generates an output video in a target language which includes a translated/output audio track that runs in synchrony with the video content of a received input video in a source language and further displays translated subtitles corresponding to the translated audio track is disclosed. Upon receiving the input video, the domain of the input video can be identified. A translation engine and a transcription engine are selected based on the domain and the pair of languages corresponding to the input video and the output video. The output audio track is generated using the translation engine and merged with a manipulated video, which runs in synchrony with the output audio track to generate the output video. The transcription engine generates subtitles translated from the source language to the target language for the output video.

Abstract: Systems, methods, and computer-readable storage media configured to predict future system failures are disclosed. Performance metrics (e.g., key performance indicators (KPIs)) of a system may be monitored and machine learning techniques may utilize a trained model to evaluate the performance metrics and identify trends in the performance metrics indicative of future failures of the monitored system. The predicted future failures may be identified based on combinations of different performance metrics and the impact that the performance metric trends of the group of different performance metrics will have on the system in the future. Upon predicting that a system failure will occur, operations to mitigate the failure may be initiated. The disclosed embodiments may improve overall performance of monitored systems by: increasing system uptimes (i.e.