Abstract: A transaction processing system capable of processing transactions and implementing a flexible circuit breaker process during a cyber event. A circuit breaker module initiates a circuit breaker event (CBE), an account identification module identifies one or more affected accounts, and a rule generation module generates conditional rules for evaluating each transaction presented to a transaction processing module. If a transaction presented to the transaction processing module satisfies the conditional rule, the transaction is not processed. Transactions not processed are stored in memory and groups of impacted transactions are assigned to resource modules based on common characteristics. The resource module determines if impacted transactions should be allowed to process. A message notification module monitors and receives notifications and updates a dashboard display to allow users to visualize the impact of a cyber event.

Abstract: The present disclosure describes a system and method for profiling and predicting customer behavior using machine learning. The system for profiling and predicting customer behavior uses all available signals from each individual customer across digital channels to build predictive artificial intelligence algorithms to create customer genome markers that predict the likelihood that specific customer will respond to digital actions.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: The present disclosure describes a system and method for profiling and predicting customer behavior using machine learning. The system for profiling and predicting customer behavior uses all available signals from each individual customer across digital channels to build predictive artificial intelligence algorithms to create customer genome markers that predict the likelihood that specific customer will respond to digital actions.

Abstract: A transaction processing system capable of processing transactions and implementing a flexible circuit breaker process during a cyber event. A circuit breaker module initiates a circuit breaker event (CBE), an account identification module identifies one or more affected accounts, and a rule generation module generates conditional rules for evaluating each transaction presented to a transaction processing module. If a transaction presented to the transaction processing module satisfies the conditional rule, the transaction is not processed. Transactions not processed are stored in memory and groups of impacted transactions are assigned to resource modules based on common characteristics. The resource module determines if impacted transactions should be allowed to process. A message notification module monitors and receives notifications and updates a dashboard display to allow users to visualize the impact of a cyber event.

Abstract: A device may receive data for a plurality of metrics from a set of server resources associated with hosting an application. The plurality of metrics may be related to a performance of the set of server resources. The data may be time series data. The device may normalize the data for the plurality of metrics across a set of points in time to form normalized data. The device may determine a score for the performance of the set of server resources associated with hosting the application at a particular point in time based on the normalized data. The score may be used to determine whether an anomaly is present in the performance of the set of server resources at the particular point in time. The device may perform an action to facilitate improvement of the performance of the set of server resources based on the score satisfying a threshold.

Abstract: Exemplary embodiments provide systems and methods for determining performance metrics or statistics relating to relational databases that are accessed remotely. Such embodiments may automatically discover the presence or identity of such remotely-stored databases using serverless code, query each database for performance information, convert the performance information into performance metrics, and store the performance metrics as time-series data in a time-series database. The performance metrics may be used to generate notifications, provide input to a machine learning process, adjust settings of the relational databases or an associated service, or provide a visualization of the performance of the databases, among other possibilities.

Abstract: An error handling technique for a computing device includes detecting a memory error during execution of the program instructions to generate a computational result, and generating an error message containing information about the memory error. The error message can be stored in a notification memory space, and be made available for access, for example, by a host system. The execution of the program instructions is allowed to continue to generate the computational result despite detecting the memory error. When the computation result becomes available, a confidence level of the computational result can be determined based on which program instruction or which computational stage resulted in the memory error. The confidence level can be used to assess whether the computational result is acceptable.

Abstract: A system including: a processor; and a memory storing computer program code that controls the processor to: collect real-time business process metrics; collect real-time cluster metrics for a plurality of application clusters indicative of a required allotment of infrastructure resources for a given business process level; estimate a predicted future business process level; based on the estimated predicted future business process level and the real-time cluster metrics, predict a future infrastructure resource requirement of each of the plurality of application clusters; compare the predicted future infrastructure resource requirement of each of the plurality of application clusters to a current dedication of each of the plurality of application clusters; automatically adjust, in real-time and based on the comparison, respective allotments of infrastructure resources for each of the plurality of application clusters; receive an actual business process; and process the business process across the plurality of

Abstract: A device may receive data for a plurality of metrics from a set of server resources associated with hosting an application. The plurality of metrics may be related to a performance of the set of server resources. The data may be time series data. The device may normalize the data for the plurality of metrics across a set of points in time to form normalized data. The device may determine a score for the performance of the set of server resources associated with hosting the application at a particular point in time based on the normalized data. The score may be used to determine whether an anomaly is present in the performance of the set of server resources at the particular point in time. The device may perform an action to facilitate improvement of the performance of the set of server resources based on the score satisfying a threshold.

Abstract: A method and apparatus to improve the efficiency of debugging a processor is provided. Also provided is a computer readable storage device encoded with data for adapting a manufacturing facility to create an apparatus. The method includes receiving a first test data, which identifies a state of a state machine, wherein the state machine performs reset and initialization operations for a processor. The method also includes halting the state machine in the state identified by the first test data upon reaching the state.

Abstract: A method and apparatus to improve the efficiency of debugging a processor is provided. Also provided is a computer readable storage device encoded with data for adapting a manufacturing facility to create an apparatus. The method includes receiving a first test data, which identifies a state of a state machine, wherein the state machine performs reset and initialization operations for a processor. The method also includes halting the state machine in the state identified by the first test data upon reaching the state.

Abstract: The present invention is directed to a power transfer system and method for utilizing the electrical power generated by a powered vehicle, such as a locomotive. The power transfer system comprises an electromotive machine configured to generate electrical energy on the powered vehicle and an electrical system located outboard from the powered vehicle, which is configured to receive electrical energy. Interface equipment is provided, which is electrically coupled to the electromotive machine and the electrical system, to transfer electrical energy from the electromotive machine to the electrical system.

Abstract: The present invention is directed to a power transfer system and method for utilizing the electrical power generated by a powered vehicle, such as a locomotive. The power transfer system comprises an electromotive machine configured to generate electrical energy on the powered vehicle and an electrical system located outboard from the powered vehicle, which is configured to receive electrical energy. Interface equipment is provided, which is electrically coupled to the electromotive machine and the electrical system, to transfer electrical energy from the electromotive machine to the electrical system.

Abstract: The present invention is directed to a power transfer system and method for utilizing the electrical power generated by a powered vehicle, such as a locomotive. The power transfer system comprises an electromotive machine configured to generate electrical energy on the powered vehicle and an electrical system located outboard from the powered vehicle, which is configured to receive electrical energy. Interface equipment is provided, which is electrically coupled to the electromotive machine and the electrical system, to transfer electrical energy from the electromotive machine to the electrical system.