Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to predicting bias in an artificial intelligence (AI) model. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a data generation component that can generate a set of structured test data to test likelihood of an AI model generating biased outputs, based on analysis of payload logging data; and an alerting component that can alert a user of likelihood that the AI model will generate the biased outputs, wherein the alerting component can generate an alert in response to at least a first set of records approaching a defined threshold.

Abstract: Technologies are described for determining a loading arrangement for hollow circular pipes. Determining the loading arrangement can comprise determining an optimal telescopic arrangement for a plurality of hollow circular pipes. Determining the optimal telescopic arrangement can comprise determining a concentric telescopic arrangement and determining a radial telescopic arrangement. Groups of hollow circular pipes can be generated based on the concentric telescopic arrangement and the radial telescopic arrangement that specifies which of the hollow circular pipes will be arranged within each other concentrically and which of the hollow circular pipes will be arranged within each other radially. The loading arrangement can be determined that includes the optimal telescopic arrangement. The loading arrangement can also indicate how the groups of hollow circular pipes will be loaded into a container for shipment.

Abstract: Described herein is a computer implemented method for repairing data inconsistency between a first mirror node and a primary cluster. The method comprises retrieving a snapshot of the one or more objects from a primary cluster; determining from the snapshot of the objects, one or more operations for the mirror node to perform to ensure data consistency between the mirror node and the primary cluster; and performing the operations.

Abstract: Methods, systems, and computer-readable storage media for resource-efficient generation of a workover rig schedule by receiving well data and workover rig data for wells, each well producing oil, determining sets of schedules by, for each schedule in a set of schedules, incrementally: calculating a virtual gain for each well in a set of remaining wells, each virtual gain being a function of a production gain for a respective well, a travel time of a workover rig to travel from a current well to the respective well, a workover time for the respective well, a first parameter applied to the workover time, and a second parameter applied to the travel time, and selecting a well as a next well in a schedule based on a respective virtual gain; identifying, from the sets of schedules, a schedule having a maximum cumulative gain, and outputting the schedule as an optimal schedule.

Abstract: Technologies are described for determining a loading arrangement for hollow circular pipes. Determining the loading arrangement can comprise determining an optimal telescopic arrangement for a plurality of hollow circular pipes. Determining the optimal telescopic arrangement can comprise determining a concentric telescopic arrangement and determining a radial telescopic arrangement. Groups of hollow circular pipes can be generated based on the concentric telescopic arrangement and the radial telescopic arrangement that specifies which of the hollow circular pipes will be arranged within each other concentrically and which of the hollow circular pipes will be arranged within each other radially. The loading arrangement can be determined that includes the optimal telescopic arrangement. The loading arrangement can also indicate how the groups of hollow circular pipes will be loaded into a container for shipment.

Abstract: Described herein is a computer implemented method for consistent distributed mirroring of data maintained by a primary cluster. The method comprises removing, by one mirror node of multiple mirror nodes, a change notification from a change queue shared between multiple mirror nodes; initiating an update process for the data corresponding to the change notification; and fetching one or more objects corresponding to the change notification from the primary cluster. Designated temporary slave mirror nodes notify a designated temporary master mirror node that fetching objects is complete, and the temporary master mirror node notifies the temporary slave mirror nodes that the update process is complete once a notification is received from each of the temporary slave mirror nodes.

Abstract: Described herein is a computer implemented method for repairing data inconsistency between a first mirror node and a primary cluster. The method comprises retrieving a snapshot of the one or more objects from a primary cluster; determining from the snapshot of the objects, one or more operations for the mirror node to perform to ensure data consistency between the mirror node and the primary cluster; and performing the operations.

Abstract: Methods, systems, and computer-readable storage media for resource-efficient generation of a workover rig schedule by receiving well data and workover rig data for wells, each well producing oil, determining sets of schedules by, for each schedule in a set of schedules, incrementally: calculating a virtual gain for each well in a set of remaining wells, each virtual gain being a function of a production gain for a respective well, a travel time of a workover rig to travel from a current well to the respective well, a workover time for the respective well, a first parameter applied to the workover time, and a second parameter applied to the travel time, and selecting a well as a next well in a schedule based on a respective virtual gain; identifying, from the sets of schedules, a schedule having a maximum cumulative gain, and outputting the schedule as an optimal schedule.

Abstract: Described herein is a computer implemented method for consistent distributed mirroring of data maintained by a primary cluster. The method comprises removing, by one mirror node of multiple mirror nodes, a change notification from a change queue shared between multiple mirror nodes; initiating an update process for the data corresponding to the change notification; and fetching one or more objects corresponding to the change notification from the primary cluster. Designated temporary slave mirror nodes notify a designated temporary master mirror node that fetching objects is complete, and the temporary master mirror node notifies the temporary slave mirror nodes that the update process is complete once a notification is received from each of the temporary slave mirror nodes.

Abstract: Methods and systems for testing filter for data streams in publisher-subscriber networks may are provided. A method includes comparing, by a computer processing device, an expected data set of a reference database to an actual data set from the data stream filter of the real-time messaging system. The method further includes determining, by the computer processing device, a performance metric of the data stream filter based on the comparing. The method further includes providing the performance metric to the real-time messaging system.

Abstract: A system and method for organizing and prioritizing recognized text. More particularly, a method and system for categorizing recognized text according to confidence levels in the correctness of the recognized text. The system and method may categorize recognized text into two or more different confidence levels. A user interface can display recognized text based upon the confidence level assigned to that text, thereby drawing a user's attention to that text for which the recognition process has a low confidence in its correctness estimate. The user interface may also allow a user to correct erroneously recognized text with different techniques, according to the level of confidence that the recognition process has in the correctness of the text.