Abstract: Certain embodiments described herein relate to an improved disk usage growth prediction system. In some embodiments, one or more components in an information management system can determine usage status data of a given storage device, perform a validation check on the usage status data using multiple prediction models, compare validation results of the multiple prediction models to identify the best performing prediction model, generate a disk usage growth prediction using the identified prediction model, and adjust the available space of the storage device according to the disk usage growth prediction.

Abstract: A method for automatically analyzing a personal service session and completing a transaction therefor, includes monitoring a service location with a video camera in communication with a processor, determining that the personal service session has begun based on an identification of at least one start trigger event, analyzing an output from the video camera including a plurality of frames of video data collected during the personal service session to identify a sequence of frames of the video data, automatically matching the sequence of frames to at least one type of service that was provided during the personal service session, determining that the personal service session has ended based on an identification of at least one end trigger event, determining a transaction value associated with the types of service that have been provided during the personal service session, and generating an electronic invoice based on the determined transaction value.

Abstract: A method for automatically analyzing a personal service session and completing a transaction therefor, includes monitoring a service location with a video camera in communication with a processor, determining that the personal service session has begun based on an identification of at least one start trigger event, analyzing an output from the video camera including a plurality of frames of video data collected during the personal service session to identify a sequence of frames of the video data, automatically matching the sequence of frames to at least one type of service that was provided during the personal service session, determining that the personal service session has ended based on an identification of at least one end trigger event, determining a transaction value associated with the types of service that have been provided during the personal service session, and generating an electronic invoice based on the determined transaction value.