Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.

Abstract: An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.

Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: Embodiments include method, systems and computer program products for performing summarization of a recording based on biometric and business process data. Aspects include receiving a recording of a customer service representative performing a task, receiving a biometric data from a sensor configured to monitor the customer service representative during the performance of the task and obtaining a business process data relating to one or more of the task and the customer service representative. Aspects also include identifying one or more portions of interest from the recording based on one or more of the biometric data and the business process data and compiling the one or more portions of interest into a summarization of the task.

Abstract: A method for presenting a formulated fair price range for a vehicle on a mobile computing platform in an augmented reality format. Embodiments of the present invention receive a digital image of a vehicle, identify distinguishing characteristics of the vehicle, cross reference those characteristics with multiple databases to identify the unique vehicle or vehicle type, retrieve from other databases data relating to the value of the vehicle or vehicle type and analyze and correlate the data to formulate a fair price range for the vehicle that is presented as a virtual image superimposed over the vehicle in the digital image. The data relating to vehicle value include crime data for a particular geographic area, crime data against different types of vehicles and geographic and environmental considerations such as climate and weather patterns or popularity and buying trends. A corresponding computer program product and computer system are also disclosed herein.

Abstract: A method for presenting a formulated fair price range for a vehicle on a mobile computing platform in an augmented reality format. Embodiments of the present invention receive a digital image of a vehicle, identify distinguishing characteristics of the vehicle, cross reference those characteristics with multiple databases to identify the unique vehicle or vehicle type, retrieve from other databases data relating to the value of the vehicle or vehicle type and analyze and correlate the data to formulate a fair price range for the vehicle that is presented as a virtual image superimposed over the vehicle in the digital image. The data relating to vehicle value include crime data for a particular geographic area, crime data against different types of vehicles and geographic and environmental considerations such as climate and weather patterns or popularity and buying trends. A corresponding computer program product and computer system are also disclosed herein.

Abstract: An aspect of providing augmented reality model comparison and deviation detection includes receiving a three-dimensional (3D) model of an object that is associated with a domain, determining a set of characteristics of the object from the 3D model, and searching a domain-specific database for data matching the set of characteristics. The domain-specific database corresponds to the domain associated with the object. An aspect also includes determining an identification of the object from data in the domain-specific database that matches the set of characteristics. For each characteristic in the set of characteristics, and aspect further includes comparing each value of the characteristic to a corresponding value in the matching data of the domain-specific database, and calculating any variation between the corresponding value of the characteristic and the value of the matching data. Another aspect includes creating a searchable index of the matching data and corresponding variations.

Abstract: A method for managing log messages in a system includes identifying a log message having a data value, filtering a first data value from a historical log record for a first interval, predicting whether any particular system events should occur when the first data value is filtered from a received log record and identifying the corresponding system events, initiating a second interval while filtering the first data value from a received log record, determining whether any non-predicted system events have occurred, and removing the filter for the first data value responsive to determining that a non-predicted system event has occurred.

Abstract: A method for storing log data in a networked storage system includes receiving one or more log data streams and storing the log data streams in a local memory location. The method also includes accessing the log data streams from the local memory location by a communications adapter and transmitting the log data streams to a storage system over a communications network by the communications adapter. The communications adapter is configured for one way communication with the storage system.

Abstract: A method for managing log messages in a system includes identifying a log message having a data value, filtering a first data value from a historical log record for a first interval, predicting whether any particular system events should occur when the first data value is filtered from a received log record and identifying the corresponding system events, initiating a second interval while filtering the first data value from a received log record, determining whether any non-predicted system events have occurred, and removing the filter for the first data value responsive to determining that a non-predicted system event has occurred.

Abstract: A method for managing log messages in a system includes identifying a log message having a data value, filtering a first data value from a historical log record for a first interval, predicting whether any particular system events should occur when the first data value is filtered from a received log record and identifying the corresponding system events, initiating a second interval while filtering the first data value from a received log record, determining whether any non-predicted system events have occurred, and removing the filter for the first data value responsive to determining that a non-predicted system event has occurred.

Abstract: A method for storing log data in a networked storage system includes receiving one or more log data streams and storing the log data streams in a local memory location. The method also includes accessing the log data streams from the local memory location by a communications adapter and transmitting the log data streams to a storage system over a communications network by the communications adapter. The communications adapter is configured for one way communication with the storage system.