Abstract: An order management system comprises a middle tier and a computer-based automatic rule code generation system. The middle tier comprises a state transition engine that manages rule-based state transitions of trade orders for financial products from one state to a next state in progressions of the trade orders. The computer-based automatic rule code generation system: (i) receives a human-readable state transition file that specifies one or more state transition rules and a corresponding condition for each of the one or more state transition rules; and (ii) generates, at compile time, a configuration file that comprises rule code for the one or more state transition rules from the state transition file. The state transition engine runs the rule code in the configuration file at runtime to manage the state transitions for the trade orders.

Abstract: A system and method may integrate project development information. e.g. software development lifecycle (SDLC), information, collecting sets of SDLC data, each set in a format different from the format of others of the sets of SDLC data. An analysis of the sets of SDLC data may be produced from the sets of SDLC data, and displayed in a SDLC or planning system. The sets of planning data may be collected from a number of project management or SDLC systems. The analysis may be a KPI (key performance indicator), best practice recommendation, or other analysis.

Abstract: A system for strategy-based exit planning comprises a processor and a memory. The processor is configured to receive an indication to create an exit plan; and create an exit plan for a strategy, wherein the strategy comprises one or more instruments. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for named entity extraction from a stream of semi-structured communications is disclosed. The system comprises a server connected to a network through which the stream of semi-structured communications is transmitted. The server is configured to receive at least one communication from the stream of semi-structured communications, divide the at least one communication into a set of individual characters, and for each individual character, generate a vector of values associated with the individual character. Once generated, the server passes each generated vector through an encoder-decoder transformer architecture; and based on output of the encoder-decoder transformer architecture, extracts a plurality of values associated with entities in the at least one communication.

Abstract: A method for caching and deduplicating a plurality of received segments of data is disclosed. The method comprises identifying a value of a first data field in each segment acting as a unique source identifier; and identifying a value of a second data field in each segment, the second data field being densely populated by values in the plurality of segments. The value of the second data field is partitioned into a first partition comprising more significant bits and a second partition comprising less significant bits. A key is generated based on values of the first data field and the first partition. A database entry associates the first key with a bitmap, the bitmap having a length based on the number of possible values a bitmap of equal length to the second partition could validly take. Single bits of the bitmap are set corresponding to received segments, to enable deduplication.

Abstract: A system for detecting a communications computer network node malfunction by analysis of network traffic output by the network node. Low latency packet capture nodes copy network traffic and transmit it to an analytics engine, which may use machine learning techniques, including long short-term memory (LSTM) neural networks, to determine a likelihood that the output of one data router in a network is suffering from a software malfunction, hardware malfunction, or network connectivity issue, and preserve overall data quality in the network by causing cessation of traffic by the malfunctioning node of the network.

Abstract: A method and system for an application to load one or more files from a device (e.g., local disc of the device) rather than from a location outside of the device (e.g., a server) via a service worker. The service worker can communicate with one or more main JavaScript threads (e.g., clients) via one or more corresponding service worker bridges that communicates with one or more corresponding main JavaScript thread bridges that communication with the main JavaScript threads. The main JavaScript threads can communicate with the local disc of the device (e.g., native) to retrieve the one or more files and transmit them to the service worker such that the service worker can provide the one or more files to the application. In this manner, service workers can provide service with data stored in a memory of a computer device of a computer.

Abstract: The disclosed embodiments relate to provisioning of a service, such as a financial service, to a device, such as a mobile device operative to access the service wirelessly or otherwise, in a manner which efficiently provides a consistent user experience which meets a user's expectations as to the functionality and quality of the service, including the user interface therefore and service delivery, which leverages the available capacities of the devices through which the service is provided so as to maximize the functionality and quality of the provided service without diminishing the experience, i.e. without substantially reducing the quality or functionality.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time.

Abstract: Computer systems and methods test applications of an enterprise computer system. The enterprise computer system comprises a test orchestration engine that is configured to receive a human-readable configuration file that comprises: a test script model that specifies testing activities for an application of the enterprise computer system; an application model that specifies attribute values for the application for the testing of the application; and a script model that specifies context parameters for the testing of the application. The test orchestration engine generates, at compile time, metadata code artifacts from the configuration file; and orchestrate, at run time, testing of the application based on the metadata code artifacts generated from the configuration file.

Abstract: A system for confirming file integrity of automatically generated documents is disclosed. The system comprises one or more processors that execute instructions to receive a document template specifying one or more sections, each section comprising a set of labels for attributes and receive two or more automatically generated documents, each comprising the set of labels for attributes and values of each of those attributes. The system extracts the set of labels for attributes and values of each of those attributes from each of the two or more automatically generated documents. Finally, the system generates a tabular report comparing the values of each of the attributes and generates an alert for a human user if the value for any attribute in a first document is different from the value for that attribute in a second document.

Abstract: Computer-implemented systems and methods forecast network resource and/or infrastructure needs for an enterprise computer system that employs network servers to host resources that are requested by network users. Based on the forecasts, the network resources can be scaled or provisioned accordingly. The state of the networkservers can be dynamically adjusted to meet the request needs of the users while reducing excess capacity. The forecasting techniques are also applicable to cloud computing environments. Based on the forecasts, the cloud server pool can be scaled dynamically, so that the system's scale satisfies the changing requests and avoids wasting resources when the system is under low load.

Abstract: A system for providing responses to natural language queries or commands is disclosed. The system comprises a server comprising a processor and non-transitory memory storing instructions that cause the processor to: retrieve a stored data structure comprising a plurality of named entities; receive a natural language query or command from a human user; extract one or more named entities from the query or command, wherein the extraction comprises iteratively: dividing the query or command into overlapping sets of tokens, determining whether a set of tokens corresponds to a named entity from the plurality of named entities, extracting any corresponding set of tokens from the query, and if no corresponding sets remain, decreasing the set size and repeating; and based at least in part on the query or command and on the extracted one or more named entities, act to fulfill a user intent expressed by the query or command.

Abstract: An artificial-intelligence system for manipulating resources to minimize exposure harm in a chaotic environment, comprising autonomous agent devices, remote electronic sensors, and a central server. The central server receives a first set of sensor readings from one or more remote electronic sensors, during a first time window, the sensor readings recording values of one or more variables in the chaotic environment; receives a critical time interval during which the chaotic environment may affect one or more of the resources and a maximum permitted risk exposure for the time interval; determines a weighted total risk exposure during the critical time interval from the chaotic environment and the resources within the chaotic environment; determines that the weighted total risk exposure exceeds the maximum permitted risk exposure; and causes the autonomous agent devices to manipulate the one or more resources to decrease the weighted total risk exposure.

Abstract: Systems and methods for intelligent computation acceleration transform to allow applications to be executed by accelerated processing units such as graphic processing units (GPUs) or field programmable gate arrays (FPGAs) are disclosed. In an embodiment, a computational profile is generated for an application based on execution metrics of the application for the CPU and the accelerated processing unit, and a genetic algorithm (GA) prediction model is applied to predict execution speedup on an accelerated processing unit for the application. In an embodiment, upon identification of speedup, computational steps are arbitrated among various processing units according to compute availability to achieve optimal completion time for the compute job.

Abstract: An efficient reusable, extensible light weight framework statelessly orchestrates system activities in any application which involves a series of sequential or parallel set of activities involving computational logic, data retrieval and persistence services. Actual orchestration steps and activities and computational logic are specified into configuration files, separate from the orchestration engine itself, thereby eliminating the need to code for such logic and activities. The framework can eliminate the need to code business logic and orchestration of data retrieval services by externalizing them into configuration files, resulting in lower costs to implement, test and maintain such system during its lifespan.

Abstract: An order management system comprises a middle tier and a computer-based automatic rule code generation system. The middle tier comprises a state transition engine that manages rule-based state transitions of trade orders for financial products from one state to a next state in progressions of the trade orders. The computer-based automatic rule code generation system: (i) receives a human-readable state transition file that specifies one or more state transition rules and a corresponding condition for each of the one or more state transition rules; and (ii) generates, at compile time, a configuration file that comprises rule code for the one or more state transition rules from the state transition file. The state transition engine runs the rule code in the configuration file at runtime to manage the state transitions for the trade orders.

Abstract: A computer-implemented method for automatically analyzing handwritten text to determine a mismatch between a purported writer and an actual writer is disclosed. The method comprises receiving two samples of digitized handwriting each allegedly created by one individual and received and entered into a digital system by another. The method further comprises performing a series of feature extractions to convert the samples into two vectors of extracted features; automatically clustering a set of vectors such that the first vector and the second vector are assigned to the same cluster among multiple clusters, based on vector similarity; and automatically determining that a same individual being associated with both the first and second samples indicates a heightened probability that the individual fraudulently created both samples. Finally, the method comprises automatically transmitting a message to flag additional samples of digitized handwriting entered into a digital system as possibly fraudulent.

Abstract: Systems and methods determine whether domain names are potentially maliciously registered variants of a set of monitored domain names. A computer system can receive domain names from a feed of newly registered domain names. For each received domain name, the computer system can generate a series of images of the domain name in different fonts and/or with various distortions applied thereto. The computer system can then transform the domain name images back to text via optical character recognition. Due to the differences in fonts and/or distortions applied to the generated images of the received domain name, the optical character recognition process can produce different text strings than the originally received domain name. The converted textual domain names are then analyzed to determine whether any one is sufficiently similar to a monitored domain name, indicating that the received domain name could be a malicious variant thereof.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time. Such measures may be altered or projected using scenarios describing future emissions data.